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Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
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Jiayun Wang and Yubei Chen and Stella X. Yu
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European Conference on Computer Vision, Milan, Italy, 28 September-4 October 2024
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Abstract
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Paper
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Code
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arXiv
-
Enhancing Meibography Image Analysis Through Artificial Intelligence-Driven Quantification and Standardization for Dry Eye Research
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Chun-Hsiao Yeh and Andrew D. Graham and Stella X. Yu and Meng C. Lin
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Translational Vision Science and Technology, 13(6), 2024
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Abstract
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Paper
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Journal
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Coordinate-based Neural Representations for Computational Adaptive Optics in Widefield Microscopy
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Iksung Kang and Qinrong Zhang and Stella X. Yu and Na Ji
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Nature Machine Intelligence, 2024
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Abstract
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Paper
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arXiv
-
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
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Yunhui Guo and Youren Zhang and Yubei Chen and Stella X. Yu
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IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, Washington, 17-21 June 2024
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Abstract
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Paper
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Poster
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arXiv
-
Region-Based Emotion Recognition via Superpixel Feature Pooling
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Zhihang Ren and Yifan Wang and Yunhui Guo and Stella X. Yu and David Whitney
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IEEE/CVF CVPR Workshop on Populating Empty Cities: Virtual Humans for Robotics and Autonomous Driving, Seattle, Washington, 17 June 2024
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Abstract
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Paper
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Poster
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Code
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BEAT: Berkeley Emotion and Affect Tracking Dataset
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Zhihang Ren and Jefferson Ortega and Yunhui Guo and Stella X. Yu and David Whitney
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IEEE/CVF CVPR Workshop on Populating Empty Cities: Virtual Humans for Robotics and Autonomous Driving, Seattle, Washington, 17 June 2024
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Abstract
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Paper
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Poster
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Learning Hierarchical Image Segmentation For Recognition and By Recognition
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Tsung-Wei Ke and Sangwoo Mo and Stella X. Yu
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International Conference on Learning Representations, Vienna, Austria, 7-11 May 2024
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Abstract
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Paper
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Poster
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Code
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Deep Learning Workflow to Support In-flight Processing of Digital Aerial Imagery for Wildlife Population Surveys
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Tsung-Wei Ke and Stella X. Yu and Mark D. Koneff and David L. Fronczak and Luke J. Fara5 and Travis J. Harrison and Kyle L. Landolt and Enrika J. Hlavacek and Brian R. Lubinski and Timothy P. White
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PLOS ONE, 2024
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Abstract
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Paper
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Journal
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Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
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Fei Pan and Sangryul Jeon and Brian Wang and Frank McKenna and Stella X. Yu
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IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa Hawaii, 4-8 January 2024
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Abstract
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Paper
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Poster
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Code
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arXiv
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VEATIC: Video-based Emotion and Affect Tracking in Context Dataset
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Zhihang Ren and Jefferson Ortega and Yifan Wang and Zhimin Chen and Yunhui Guo and Stella X. Yu and David Whitney
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IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa Hawaii, 4-8 January 2024
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Abstract
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Paper
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Poster
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Code
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arXiv
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ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
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Alfredo De Goyeneche and Shreya Ramachandran and Ke Wang and Ekin Karasan and Joseph Cheng and Stella X. Yu and Michael Lustig
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Neural Information Processing Systems, New Orleans, Louisiana, 9-15 December 2023
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Abstract
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Paper
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Poster
|
Code
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How to Guess a Gradient
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Utkarsh Singhal and Brian Cheung and Kartik Chandra and Jonathan Ragan-Kelley and Joshua B. Tenenbaum and Tomaso A. Poggio and Stella X. Yu
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Neural Information Processing Systems Workshop on Optimization for Machine Learning, New Orleans, Louisiana, 15 December 2023
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Abstract
|
Paper
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Poster
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arXiv
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Learning to Transform for Generalizable Instance-wise Invariance
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Utkarsh Singhal and Carlos Esteves and Ameesh Makadia and Stella X. Yu
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International Conference on Computer Vision, Paris, France, 2-6 October 2023
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Abstract
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Paper
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Poster
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Code
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arXiv
-
The Audio-Visual BatVision Dataset for Research on Sight and Sound
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Amandine Brunetto and Sascha Hornauer and Stella X. Yu and Fabien Moutarde
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IEEE International Conference on Intelligent Robots and Systems, Detroit, Michigan, 1-5 October 2023
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Abstract
|
Paper
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Slides
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Code
|
arXiv
-
Local Pseudo-Attributes for Long-Tailed Recognition
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Dong-Jin Kim and Tsung-Wei Ke and Stella X. Yu
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Pattern Recognition Letters, 172:51-7, 2023
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Abstract
|
Paper
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Journal
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Serial Dependence in Perception across Naturalistic Generative Adversarial Network-generated Mammogram
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Zhihang Ren and Teresa Canas-Bajo and Cristina Ghirardo and Mauro Manassi and Stella X. Yu and David Whitney
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Journal of Medical Imaging, 10(4), 2023
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Abstract
|
Paper
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Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
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Long Lian and Zhirong Wu and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, British Columbia, Canada, 2023
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Abstract
|
Paper
|
Slides
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Code
|
arXiv
-
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
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Xudong Wang and Rohit Girdhar and Stella X. Yu and Ishan Misra
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IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, British Columbia, Canada, 2023
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Abstract
|
Paper
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Slides
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Code
|
arXiv
-
Debiased Learning from Naturally Imbalanced Remote Sensing Data
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Chun-Hsiao Yeh and Xudong Wang and Stella X. Yu and Charles Hill and Zackery Stech and Scott Kangas
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IEEE Conference on Computer Vision and Pattern Recognition Workshop on Multimodal Learning for Earth and Environment, Vancouver, British Columbia, Canada, 19 June 2023
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Abstract
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Paper
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Slides
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Modeling Semantic Correlation and Hierarchy for Real-world Wildlife Recognition
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Dong-Jin Kim and Zhongqi Miao and Yunhui Guo and Stella X. Yu
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IEEE Signal Processing Letters, 30:259-63, 2023
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Abstract
|
Paper
|
Journal
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Challenges and Solutions for Automated Avian Recognition in Aerial Imagery
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Zhongqi Miao and Stella X. Yu and Kyle L. Landolt and Mark D. Koneff and Timothy P. White and Luke J. Fara and Enrika J. Hlavacek and Bradley A. Pickens and Travis J. Harrison and Wayne M. Getz
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Remote Sensing in Ecology and Conservation, 2023
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Abstract
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Paper
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Compact and Optimal Deep Learning with Recurrent Parameter Generators
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Jiayun Wang and Yubei Chen and Stella X. Yu and Brian Cheung and Yann LeCunn
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IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, 3-7 January 2023
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Abstract
|
Paper
|
Slides
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Code
|
arXiv
-
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
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Ke Wang and Mariya Doneva and Jakob Meineke and Thomas Amthor and Ekin Karasan and Fei Tan and Jonathan I. Tamir and Stella X. Yu and Michael Lustig
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Magnetic Resonance in Medicine, 2023
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Abstract
|
Paper
|
arXiv
-
Instance Segmentation of Soft-story Buildings from Street-view Images with Semiautomatic Annotation
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Chaofeng Wang and Sascha Hornauer and Stella X. Yu and Frank McKenna and Kincho H. Law
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Earthquake Engineering & Structural Dynamics, 2022
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Abstract
|
Paper
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Contextual Visual Feature Learning for Zero-Shot Recognition of Human-Object Interactions
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Tsung-Wei Ke and Dong-Jin Kim and Stella X. Yu and Liang Gou and Liu Ren
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Neural Information Processing Systems Workshop on Human in the Loop Learning, New Orleans, Louisiana, 2 December 2022
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Abstract
|
Paper
|
Poster
-
Modeling Semantic Correlation and Hierarchy for Real-world Wildlife Recognition
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Dong-Jin Kim and Zhongqi Miao and Yunhui Guo and Stella X. Yu and Kyle Landolt and Mark Koneff and Travis Harrison
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Neural Information Processing Systems Workshop on Human in the Loop Learning, New Orleans, Louisiana, 2 December 2022
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Abstract
|
Paper
|
Poster
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Local Pseudo-Attributes for Long-Tailed Recognition
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Dong-Jin Kim and Tsung-Wei Ke and Stella X. Yu
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Neural Information Processing Systems Workshop on Self-Supervised Learning: Theory and Practice, New Orleans, Louisiana, 3 December 2022
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Abstract
|
Paper
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Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models
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Utkarsh Singhal and Stella X. Yu and Zackery Steck and Scott Kangas and Aaron A. Reite
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Neural Information Processing Systems Workshop on AI for Humanitarian Assistance and Disaster Response, New Orleans, Louisiana, 3 December 2022
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Abstract
|
Paper
|
Slides
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Tracking the Dynamics of the Tear Film Lipid Layer
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Tejasvi Kothapalli and Charlie Shou and Jennifer Ding and Jiayun Wang and Andrew D Graham and Tatyana Svitova and Stella X. Yu and Meng C. Lin
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Neural Information Processing Systems Workshop on Medical Imaging, New Orleans, Louisiana, 2 December 2022
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Predicting Demographics from Meibography Using Deep Learning
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Jiayun Wang and Andrew D. Graham and Stella X. Yu and Meng C. Lin
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Nature Scientific Reports, 2022
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Abstract
|
Paper
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Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
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Xudong Wang and Long Lian and Stella X. Yu
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European Conference on Computer Vision, Tel Aviv, Isarel, 23-27 October 2022
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Abstract
|
Paper
|
Poster
-
Unsupervised Scene Sketch to Photo Synthesis
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Jiayun Wang and Sangryul Jeon and Stella X. Yu and Xi Zhang and Himanshu Arora and Yu Lou
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European Conference on Computer Vision Workshop on Advances in Image Manipulation (AIM), Tel Aviv, Isarel, 23 October 2022
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Abstract
|
Paper
|
Slides
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3D Shape Reconstruction from Free-Hand Sketches
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Jiayun Wang and Jierui Lin and Qian Yu and Runtao Liu and Yubei Chen and Stella X. Yu
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European Conference on Computer Vision Workshop on Drawings and Abstract Imagery: Representation and Analysis (DIRA), Tel Aviv, Isarel, 23 October 2022
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Abstract
|
Paper
|
Slides
-
Open Long-Tailed Recognition in A Dynamic World
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Ziwei Liu and Zhongqi Miao and Xiaohang Zhan and Jiayun Wang and Boqing Gong and Stella X. Yu
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
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Abstract
|
Paper
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Automated Measurement of Migration Percentage in Hip Surveillance Radiographs: Development and Testing of a Deep-Learning Algorithm
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Chun-Hsiao Yeh and Justin Krogue and Patrick Donahue and Marie Villalba and Sangryul Jeon and Stella X. Yu and Vedant A. Kulkarni
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American Academy for Cerebral Palsy and Developmental Medicine Annual Meeting, Las Vegas, 21-24 September 2022
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Abstract
|
Paper
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AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images
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Yunhui Guo and Chaofeng Wang and Stella X. Yu and Frank McKenna and Kincho H. Law
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Journal of Computing in Civil Engineering, 36(5):04022024, 2022
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Abstract
|
Paper
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Learning Data-Driven Complex-valued Butterfly Transform for Hyperspectral Image Classification
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Utkarsh Singhal and Stella X. Yu
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International Joint Conference on Neural Networks (IEEE WCCI), Centro Congressi, Padova, Italy, 18-23 July 2022
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Abstract
|
Paper
|
Slides
-
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
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Tsung-Wei Ke and Jyh-Jing Hwang and Yunhui Guo and Xudong Wang and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Co-Domain Symmetry for Complex-Valued Deep Learning
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Utkarsh Singhal and Yifei Xing and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Debiased Learning from Naturally Imbalanced Pseudo-Labels
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Xudong Wang and Zhirong Wu and Long Lian and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
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Yunhui Guo and Xudong Wang and Yubei Chen and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
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Abstract
|
Paper
|
Slides
|
arXiv
-
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
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Yunhui Guo and Haoran Guo and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
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Ke Wang and Jonathan I. Tamir and Alfredo De Goyeneche and Uri Wollner and Rafi Brada and Stella X. Yu and Michael Lustig
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Magnetic Resonance in Medicine, 2022
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Abstract
|
Paper
|
arXiv
-
Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation
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Arian Ranjbar and Sascha Hornauer and Jonas Fredriksson and Stella X. Yu and Ching-Yao Chan
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IEEE Transactions on Intelligent Vehicles, 2022
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Abstract
|
Paper
|
Code
-
Broad Adversarial Training with Data Augmentation in the Output Space
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Nils Worzyk and Stella X. Yu
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AAAI Workshop on Adversarial Machine Learning and Beyond, Online, 2022
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Abstract
|
Paper
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Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning
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Zhihang Ren and Yunhui Guo and Stella X. Yu and David Whitney
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IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies, Washington D.C., 16-18 December 2021
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Abstract
|
Paper
-
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
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Runtao Liu and Zhirong Wu and Stella X. Yu and Stephen Lin
-
Conference on Neural Information Processing Systems, Online, 7-10 December 2021
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Contextual Image Parsing via Panoptic Segment Sorting
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Jyh-Jing Hwang and Tsung-Wei Ke and Stella X. Yu
-
ACM Multimedia 2021 Workshop on Multimedia Understanding with Less Labeling, Online, 20-24 October 2021
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Abstract
|
Paper
-
Memory-efficient Learning for High-Dimensional MRI Reconstruction
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Ke Wang and Michael Kellman and Christopher M. Sandino and Kevin Zhang and Shreyas S. Vasanawala and Jonathan I. Tamir and Stella X. Yu and Michael Lustig
-
International Conference on Medical Image Computing and Computer Assisted Intervention, Online, 27 September - 1 October 2021
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Abstract
|
Paper
|
Poster
|
arXiv
-
Iterative Human and Automated Identification of Wildlife Images
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Zhongqi Miao and Ziwei Liu and Kaitlyn M. Gaynor and Meredith S. Palmer and Stella X. Yu and Wayne M. Getz
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Nature Machine Intelligence, 2021
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Abstract
|
Paper
|
arXiv
-
Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration using Retinal Fundus Images
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Baladitya Yellapragada and Sascha Hornauer and Kiersten Snyder and Stella X. Yu and Glenn Yiu
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Ophthalmology Retina, 2021
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Abstract
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Paper
|
Code
-
Quantifying Meibomian Gland Morphology Using Artificial Intelligence
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Jiayun Wang and Shixuan Li and Thao N. Yeh and Rudrasis Chakraborty and Andrew Graham and Stella X. Yu and Meng C. Lin
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Optometry and Vision Science, 2021
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Abstract
|
Paper
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Spatial Transformer for 3D Point Clouds
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Jiayun Wang and Rudrasis Chakraborty and Stella X. Yu
-
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
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Abstract
|
Paper
|
Code
|
arXiv
-
Unsupervised Visual Attention and Invariance for Reinforcement Learning
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Xudong Wang and Long Lian and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Online, 19-25 June 2021
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
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Xudong Wang and Ziwei Liu and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition, Online, 19-25 June 2021
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Unsupervised Discriminative Learning of Sounds for Audio Event Classification
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Sascha Hornauer and Ke Li and Stella X. Yu and Shabnam Ghaffarzadegan and Liu Ren
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IEEE International Conference on Acoustics, Speech and Signal Processing, Online, 6-11 June 2021
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Abstract
|
Paper
|
Slides
|
arXiv
-
Memory-efficient Learning for High-Dimensional MRI Reconstruction
-
Ke Wang and Michael Kellman and Christopher M. Sandino and Kevin Zhangand Shreyas S. Vasanawala and Jonathan I. Tamir and Stella X. Yu and Michael Lustig
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Magna Laude Award, International Society for Magnetic Resonance in Medicine, Online, 15-20 May 2021
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Abstract
|
Paper
|
arXiv
-
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
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Tsung-Wei Ke and Jyh-Jing Hwang and Stella X. Yu
-
International Conference on Learning Representations, Online, 4-8 May 2021
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
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Xudong Wang and Long Lian and Zhongqi Miao and Ziwei Liu and Stella X. Yu
-
International Conference on Learning Representations, Online, 4-8 May 2021
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning
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Chun-Hsiao Yeh and Stella X. Yu and Meng C. Lin
-
Translational Vision Science and Technology, 10(2):4, 2021
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Abstract
|
Paper
|
Journal
-
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
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Xudong Wang and Stella X. Yu
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AAAI Conference on Artificial Intelligence, Online, 2-9 February 2021
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Abstract
|
Paper
|
Slides
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Code
|
arXiv
-
Machine Learning-Based Regional Scale Intelligent Modeling of Building Information for Natural Hazard Risk Management
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Chaofeng Wang and Qian Yu and Kincho H. Law and Frank McKenna and Stella X. Yu and Ertugrul Taciroglu and Adam Zsarnoczay and Wael Elhaddad and Barbaros Cetiner
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Automation in Construction, 122(103474):1-14, 2021
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Abstract
|
Paper
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Controllable Medical Image Generation via Generative Adversarial Networks
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Zhihang Ren and Stella X. Yu and David Whitney
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Journal of Perceptual Imaging, Online, 19-27 January 2021
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Abstract
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Paper
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SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold
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Rudrasis Chakraborty and Yifei Xing and Stella X. Yu
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IEEE Transactions on Neural Networks and Learning Systems, 2020
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Abstract
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Paper
|
Code
|
arXiv
-
Rapid Visual Screening of Soft-Story Buildings from Street View Images Using Deep Learning Classification
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Qian Yu and Chaofeng Wang and Frank McKenna and Stella X. Yu and Ertugrul Taciroglu and Barbaros Cetiner and Kincho H. Law
-
Earthquake Engineering and Engineering Vibration, 19:827-838, 2020
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Abstract
|
Paper
|
Code
-
Unsupervised Sketch to Photo Synthesis
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Runtao Liu and Qian Yu and Stella X. Yu
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European Conference on Computer Vision, Online, 23-28 August 2020
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Abstract
|
Paper
|
Slides
|
Code
-
High-Fidelity Reconstruction with Instance-wise Discriminative Feature Matching Loss
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Ke Wang and Jonathan I. Tamir and Stella X. Yu and Michael Lustig
-
Magna Laude Award, International Society for Magnetic Resonance in Medicine, Online, 8-14 August 2020
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Abstract
|
Paper
-
High Fidelity Direct-Contrast Synthesis from Magnetic Resonance Fingerprinting in Diagnostic Imaging
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Ke Wang and Mariya Doneva and Thomas Amthor and Vera C. Keil and Ekin Karasan and Fei Tan and Jonathan I. Tamir and Stella X. Yu and Michael Lustig
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Summa Cum Laude Award, International Society for Magnetic Resonance in Medicine, Online, 8-14 August 2020
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Abstract
|
Paper
-
Scene Novelty Prediction from Unsupervised Discriminative Feature Learning
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Arian Ranjbar and Chun-Hsiao Yeh and Sascha Hornauer and Stella X. Yu and Ching-Yao Chan
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International Conference on Intelligent Transportation Systems, Online, 2020
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Abstract
|
Paper
-
Open Compound Domain Adaptation
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Ziwei Liu and Zhongqi Miao and Xingang Pan and Xiaohang Zhan and Dahua Lin and Stella X. Yu and Boqing Gong
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IEEE Conference on Computer Vision and Pattern Recognition, Online, 16-18 June 2020
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Abstract
|
Paper
|
Slides
|
Code
-
Orthogonal Convolutional Neural Networks
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Jiayun Wang and Yubei Chen and Rudrasis Chakraborty and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition, Online, 16-18 June 2020
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Abstract
|
Paper
|
Slides
|
Code
-
BatVision with GCC-PHAT Features for Better Sound to Vision Predictions
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Jesper Haahr Christensen and Sascha Hornauer and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition Workshop: Sight and Sound, Online, 15 June 2020
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Abstract
|
Paper
|
Slides
|
Code
-
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning
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Rudrasis Chakraborty and Yifei Xing and Minxuan Duan and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition Workshop: Perception Beyond the Visible Spectrum, Online, 14 June 2020
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Abstract
|
Paper
|
Slides
-
BatVision: Learning to See 3D Spatial Layout with Two Ears
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Jesper Haahr Christensen and Sascha Hornauer and Stella X. Yu
-
IEEE International Conference on Robotics and Automation, Paris, France, 31 May - 4 June 2020
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Abstract
|
Paper
|
Slides
|
Code
-
DeepInPy: Deep Inverse Problems in Python
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Jonathan I. Tamir and Stella X. Yu and Michael Lustig
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ISMRM Workshop on Data Sampling and Image Reconstruction, Sedona, AZ, 26-29 January 2020
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Abstract
|
Paper
|
Code
-
A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images
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Jiayun Wang and Thao N. Yeh and Rudrasis Chakraborty and Stella X. Yu and Meng C. Lin
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Translational Vision Science and Technology, 8(6):37, 2019
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Abstract
|
Paper
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Unsupervised Deep Basis Pursuit: Learning Inverse Problems without Ground-truth Data
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Jonathan I. Tamir and Stella X. Yu and Michael Lustig
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Neural Information Processing Systems Workshop on Solving Inverse Problems with Deep Networks, Vancouver, Canada, 2019
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Abstract
|
Paper
|
Poster
-
Building Information Modeling and Classification by Visual Learning at A City Scale
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Qian Yu and Chaofeng Wang and Barboros Cetiner and Stella X. Yu and Frank McKenna and E. Taciroglu and K. H. Law
-
Neural Information Processing Systems Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response, Vancouver, Canada, 2019
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Abstract
|
Paper
-
SegSort: Segmentation by Discriminative Sorting of Segments
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Jyh-Jing Hwang and Stella X. Yu and Jianbo Shi and Maxwell D. Collins and Tien-Ju Yang and Xiao Zhang and Liang-Chieh Chen
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International Conference on Computer Vision, Seoul, South Korea, 26 October - 1 November 2019
-
Abstract
|
Paper
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Poster
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Code
|
arXiv
-
Large-Scale Long-Tailed Recognition in An Open World
-
Ziwei Liu and Zhongqi Miao and Xiaohang Zhan and Jiayun Wang and Boqing Gong and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, California, 16-20 June 2019
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Abstract
|
Paper
|
Slides
|
Journal
-
Adversarial Structure Matching for Structured Prediction Tasks
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Jyh-Jing Hwang and Tsung-Wei Ke and Jianbo Shi and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, California, 16-20 June 2019
-
Abstract
|
Paper
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Poster
|
Code
|
arXiv
-
SurReal: Fr'echet Mean and Distance Transform for Complex-Valued Deep Learning
-
Rudrasis Chakraborty and Jiayun Wang and Stella X. Yu
-
Best Paper Award, IEEE Conference on Computer Vision and Pattern Recognition Workshop: Perception Beyond the Visible Spectrum, Long Beach, California, 16 June 2019
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Abstract
|
Paper
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Poster
|
Code
|
arXiv
-
Visual Similarity from Optimizing Feature and Memory On A Hypersphere
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Xinlei Pan and Rudrasis Chakraborty and Stella X. Yu
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IEEE Conference on Computer Vision and Pattern Recognition Workshop: Vision Meets Cognition, Long Beach, California, 16 June 2019
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Abstract
|
Paper
|
Poster
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Driving Scene Retrieval by Example from Large-Scale Data
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Sascha Hornhauer and Baladitya Yellapragada and Arian Ranjbar and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition Workshop: Vision Meets Cognition, Long Beach, California, 16 June 2019
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Abstract
|
Paper
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Poster
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Insights and Approaches Using Deep Learning to Classify Wildlife
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Zhongqi Miao and Kaitlyn M. Gaynor and Jiayun Wang and Ziwei Liu and Oliver Muellerklein and Mohammad Sadegh Norouzzadeh and Alex McInturff and Rauri C. K. Bowie and Ran Nathan and Stella X. Yu and Wayne M. Getz
-
Nature Scientific Reports, 9(8137):1-9, 2019
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Abstract
|
Paper
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Unsupervised Deep Basis Pursuit: Learning Reconstruction without Ground-Truth Data
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Jonathan I. Tamir and Stella X. Yu and Michael Lustig
-
Magna Sum Laude Award, International Society for Magnetic Resonance in Medicine, Montreal, Canada, 11-16 May 2019
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Abstract
|
Paper
|
Slides
-
Visualizing Material Quality and Similarity of mc-Si Wafers Learned by Convolutional Regression Networks
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Matthias Demant and Patrick Virtue and Aditya Kovvali and Stella X. Yu and Stefan Rein
-
IEEE Journal of Photovoltaics, 9(4):1073-1080, 2019
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Abstract
|
Paper
-
Learning Quality Rating of As-Cut mc-Si Wafers via Convolutional Regression Networks
-
Matthias Demant and Patrick Virtue and Aditya Kovvali and Stella X. Yu and Stefan Rein
-
IEEE Journal of Photovoltaics, 9(4):1064-1072, 2019
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Abstract
|
Paper
-
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability
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Jakob Suchan and Mehul Bhatt and Srikrishna Vardarajan and Seyed Ali Amirshahi and Stella Yu
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Advances in Cognitive Systems, 2018
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Abstract
|
Paper
-
Deep Learning Approach to Inline Quality Rating and Mapping of Multi-crystalline Si-wafers
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Matthias Demant and Patrick Virtue and Aditya Kovvali and Stella X. Yu and Stefan Rein
-
European Photovoltaic Solar Energy Conference, Brussels, Belgium, 24-28 September 2018
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Abstract
|
Paper
-
Adaptive Affinity Fields for Semantic Segmentation
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Tsung-Wei Ke and Jyh-Jing Hwang and Ziwei Liu and Stella X. Yu
-
European Conference on Computer Vision, Munich, Germany, 10-13 September 2018
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Abstract
|
Paper
|
Poster
|
Journal
-
Improving Generalization via Scalable Neighborhood Component Analysis
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Zhirong Wu and Alexei A. Efros and Stella X. Yu
-
European Conference on Computer Vision, Munich, Germany, 10-13 September 2018
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Abstract
|
Paper
|
Poster
|
Journal
-
Imitation Learning of Path-Planned Driving using Disparity-Depth Images
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Sascha Hornauer and Karl Zipser and Stella X. Yu
-
European Conference on Computer Vision Workshop: Perceptual Organization in Computer Vision, Munich, Germany, 9 September 2018
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Abstract
|
Paper
|
Poster
-
Motion Selectivity of Neurons in Self-Driving Networks
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Baladitya Yellapragada and Alexander Anderson and Stella X. Yu and Karl Zipser
-
European Conference on Computer Vision Workshop: Perceptual Organization in Computer Vision, Munich, Germany, 9 September 2018
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Abstract
|
Paper
|
Slides
-
CNN Feature Similarity: Paintings Are More Self-Similar at All Levels
-
Seyed Ali Amirshahi and Stella X. Yu
-
Colour and Visual Computing Symposium, Gjovik, Norway, 19-20 September 2018
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Abstract
|
Paper
-
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
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Zhirong Wu and Yuanjun Xiong and Stella X. Yu and Dahua Lin
-
IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, 18-22 June 2018
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Abstract
|
Paper
|
Poster
|
Journal
-
Learning Contrast Synthesis from MR Fingerprinting
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Patrick Virtue and Jonathan I. Tamir and Mariya Doneva and Stella X. Yu and Michael Lustig
-
Magna Laude Award, International Society for Magnetic Resonance in Medicine, Paris, France, 16-21 June 2018
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Abstract
|
Paper
-
Learning Beyond Human Expertise with Generative Models for Dental Restorations
-
Jyh-Jing Hwang and Sergei Azernikov and Alexei A. Efros and Stella X. Yu
-
NVIDIA GTC, San Jose, California, 28 March 2018
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Abstract
|
Paper
|
Slides
|
Code
|
arXiv
-
A Convolutional Neural Network-based Screening Tool for X-ray Serial Crystallography
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Tsung-Wei Ke and Aaron S. Brewster and Stella X. Yu and Daniela Ushizima and Chao Yang and Nicholas K. Sauter
-
Journal of Synchrotron Radiation, 25:1-16, 2018
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Abstract
|
Paper
-
Direct Contrast Synthesis for Magnetic Resonance Fingerprinting
-
Patrick Virtue and Jonathan I. Tamir and Mariya Doneva and Stella X. Yu and Michael Lustig
-
ISMRM Workshop on Machine Learning, Pacific Grove, California, 14-17 March 2018
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Abstract
|
Paper
-
Unsupervised Learning of Important Objects from First-Person Videos
-
Gedas Bertasius and Hyun Soo Park and Stella X. Yu and Jianbo Shi
-
International Conference on Computer Vision, Venice, Italy, 22-29 October 2017
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Abstract
|
Paper
|
arXiv
-
Am I a Baller? Basketball Performance Assessment from First-Person Videos
-
Gedas Bertasius and Hyun Soo Park and Stella X. Yu and Jianbo Shi
-
International Conference on Computer Vision, Venice, Italy, 22-29 October 2017
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Abstract
|
Paper
|
arXiv
-
Learning to Roam Free from Small-Space Autonomous Driving with A Path Planner
-
Sascha Hornauer and Karl Zipser and Stella X. Yu
-
ArXiv 1709.10512, , September 2017
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Abstract
|
Paper
|
arXiv
-
Mooney Face Classification and Prediction by Learning across Tone
-
Tsung-Wei Ke and Stella X. Yu and David Whitney
-
International Conference on Image Processing, Beijing, China, 17-20 September 2017
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Abstract
|
Paper
|
Journal
-
Better than Real: Complex-valued Neural Networks for MRI Fingerprinting
-
Patrick Virtue and Stella X. Yu and Michael Lustig
-
International Conference on Image Processing, Beijing, China, 17-20 September 2017
-
Abstract
|
Paper
-
Ground2Sky Label Transfer for Fine-grained Aerial Car Recognition
-
Baochen Sun and Xingchao Peng and Stella X. Yu and Kate Saenko
-
International Conference on Image Processing, Beijing, China, 17-20 September 2017
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Abstract
|
Paper
|
Code
-
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
-
Jian Shi and Yue Dong and Hao Su and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, 22-25 July 2017
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Abstract
|
Paper
|
Code
|
arXiv
-
Neural Multigrid Architectures
-
Tsung-Wei Ke and Michael Maire and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, 22-25 July 2017
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Abstract
|
Paper
|
arXiv
-
Convolutional Random Walk Networks for Semantic Image Segmentation
-
Gedas Bertasius and Lorenzo Torresani and Stella X. Yu and Jianbo Shi
-
IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, 22-25 July 2017
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Abstract
|
Paper
|
arXiv
-
First Person Action-Object Detection with EgoNet
-
Gedas Bertasius and Hyun Soo Park and Stella X. Yu and Jianbo Shi
-
Robotics: Science and Systems, Cambridge, Massachusetts, 12-16 July 2017
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Abstract
|
Paper
|
arXiv
-
Mooney Faces from Photos
-
Tsung-Wei Ke and Stella X. Yu and David Whitney
-
Vision Sciences Society Annual Meeting, St. Pete Beach, Florida, 19-24 May 2017
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Abstract
|
Paper
|
Slides
|
Journal
-
Symmetry in the Eye of the Beholder
-
Seyed Ali Amirshahi and Asha Anoosheh and Stella X. Yu and Jakob Suchan and Carl Schultz and Mehul Bhatt
-
Vision Sciences Society Annual Meeting, St. Pete Beach, Florida, 19-24 May 2017
-
Abstract
|
Paper
|
Poster
-
Image Quality Assessment by Comparing CNN Features Between Images
-
Seyed Ali Amirshahi and Marius Pedersen and Stella X. Yu
-
Journal of Imaging Science and Technology, 60(1):060410-1-060410-10, 2016
-
Best Paper Award, Electronic Imaging Conference On Image Quality and System Performance, 2017
-
Abstract
|
Paper
|
Slides
-
The Perception of Symmetry in the Moving Image -- Multi-Level Computational Analysis of Cinematographic Scene Structure and Its Visual Reception
-
Jakob Suchan and Mehul Bhatt and Stella X. Yu
-
ACM Symposium on Applied Perception, Anaheim, California, 22-23 July 2016
-
Abstract
|
Paper
-
Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification
-
Xingchao Peng and Judy Hoffman and Stella X. Yu and Kate Saenko
-
International Conference on Image Processing, Phoenix, Arizona, 25-28 September 2016
-
Abstract
|
Paper
|
arXiv
-
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
-
Michael Maire and Takuya Narihira and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, 27-30 June 2016
-
Abstract
|
Paper
|
Slides
|
arXiv
-
A Deep Neural Net Trained for Person Categorization Develops Both Detailed Local Features and Broad Contexual Specificities
-
Stella X. Yu and Karl Zipser
-
Vision Sciences Society Annual Meeting, St. Pete Beach, Florida, 13-18 May 2016
-
Abstract
|
Poster
-
Constrained Structured Regression with Convolutional Neural Networks
-
Deepak Pathak and Philipp Kraehenbuehl and Stella X. Yu and Trevor Darrell
-
arXiv:1511.07497, Online, 23 November 2015
-
Abstract
|
arXiv
-
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
-
Takuya Narihira and Damian Borth and Stella X. Yu and Karl Ni and Trevor Darrell
-
arXiv 1511.06838, Online, 21 November 2015
-
Abstract
|
arXiv
-
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
-
Takuya Narihira and Michael Maire and Stella X. Yu
-
International Conference on Computer Vision, Santiago, Chile, 13-16 December 2015
-
Abstract
|
Paper
|
Poster
|
Journal
-
Learning Lightness from Human Judgement on Relative Reflectance
-
Takuya Narihira and Michael Maire and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, 8-10 June 2015
-
Abstract
|
Paper
|
Poster
-
FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-wise Correspondences
-
Tinghui Zhou and Yong Jae Lee and Stella X. Yu and Alexei A. Efros
-
IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, 8-10 June 2015
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Abstract
|
Paper
|
Slides
|
Code
-
Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop
-
Karl Zipser and Stella X. Yu and Bruno A. Olshausen
-
Vision Sciences Society Annual Meeting: Computational and Mathematical Models in Vision, St. Pete Beach, FL, 13-15 May 2015
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Abstract
|
Paper
-
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling
-
Michael Maire and Stella X. Yu and Pietro Perona
-
Asian Conference on Computer Vision, Singapore, 1-5 November 2014
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Abstract
|
Paper
|
Slides
-
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation
-
Michael Maire and Stella X. Yu
-
International Conference on Computer Vision, Sydney, Australia, 3-6 December 2013
-
Abstract
|
Paper
|
Poster
|
Journal
-
Hierarchical Scene Annotation
-
Michael Maire and Stella X. Yu and Pietro Perona
-
British Machine Vision Conference, Bristol, UK, 9-13 September 2013
-
Abstract
|
Paper
|
Slides
|
Code
-
Change Blindness Reveals Distinctive Featural Processing in Size, Color, and Orientation
-
Stella X. Yu and Dimitri Lisin
-
Technical Report TR-13-001, International Computer Science Institute, February 2013
-
Abstract
|
Paper
-
Power SVM: Generalization with Exemplar Classification Uncertainty
-
Weiyu Zhang and Stella X. Yu and Shang-Hua Teng
-
IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, 16-21 June 2012
-
Abstract
|
Paper
|
Poster
-
Angular Embedding: A Robust Quadratic Criterion
-
Stella X. Yu
-
IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(1):158-73, 2012
-
Abstract
|
Paper
-
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
-
Michael Maire and Stella X. Yu and Pietro Perona
-
International Conference on Computer Vision, Barcelona, Spain, 6-13 Novemeber 2011
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Abstract
|
Paper
|
Slides
-
Pop Out Many Small Structures from a Very Large Microscopic Image
-
Elena Bernardis and Stella X. Yu
-
Medical Image Analysis, 15(5):690-707, 2011
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Abstract
|
Paper
-
Linear Scale and Rotation Invariant Matching
-
Hao Jiang and Stella X. Yu and David R. Martin
-
IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7):1339-55, 2011
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Abstract
|
Paper
-
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike
-
Stella X. Yu
-
Neural Information Processing Systems, Vancouver, B.C., Canada, 6-9 Dec 2010
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Abstract
|
Paper
|
Slides
-
Classification and Feature Selection with Human Performance Data
-
Christina Pavlopoulou and Stella X. Yu
-
International Conference on Image Processing, Hong Kong, 26-29 Sept 2010
-
Abstract
|
Paper
|
Slides
-
Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image
-
Elena Bernardis and Stella X. Yu
-
International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 20-24 Sept 2010
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Abstract
|
Paper
|
Slides
-
Finding Dots: Segmentation as Popping out Regions from Boundaries
-
Elena Bernardis and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, California, 13-18 June 2010
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Abstract
|
Paper
|
Poster
-
Indoor-Outdoor Classification with Human Accuracies: Image or Edge Gist?
-
Christina Pavlopoulou and Stella X. Yu
-
IEEE CVPR Workshop on Advancing Computer Vision with Humans in the Loop, San Francisco, California, 14 June 2010
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Abstract
|
Paper
|
Slides
-
Structural Correspondence as a Contour Grouping Problem
-
Elena Bernardis and Stella X. Yu
-
IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, San Francisco, California, 14 June 2010
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Abstract
|
Paper
|
Slides
-
Edge-Preserving Laplacian Pyramid
-
Stella X. Yu
-
International Symposium on Visual Computing, Las Vegas, Nevada, 30 Nov-2 Dec 2009
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Abstract
|
Paper
|
Slides
-
Image Compression based on Visual Saliency at Individual Scales
-
Stella X. Yu and Dimitri A. Lisin
-
International Symposium on Visual Computing, Las Vegas, Nevada, 30 Nov-2 Dec 2009
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Abstract
|
Paper
|
Slides
-
A Unifying View of Contour Length Bias Correction
-
Christina Pavlopoulou and Stella X. Yu
-
International Symposium on Visual Computing, Las Vegas, Nevada, 30 Nov-2 Dec 2009
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Abstract
|
Paper
|
Slides
-
Robust Segmentation by Cutting across a Stack of Gamma Transformed Images
-
Elena Bernardis and Stella X. Yu
-
Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany, 24-27 Aug 2009
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Abstract
|
Paper
|
Poster
-
Boundaries as Contours of Optimal Appearance and Area of Support
-
Christina Pavlopoulou and Stella X. Yu
-
Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany, 24-27 Aug 2009
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Abstract
|
Paper
|
Slides
-
Angular Embedding: from Jarring Intensity Differences to Perceived Luminance
-
Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, Florida, 20-25 June 2009
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Abstract
|
Paper
|
Slides
-
Linear Solution to Scale and Rotation Invariant Object Matching
-
Hao Jiang and Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, Florida, 20-25 June 2009
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Abstract
|
Paper
|
Slides
-
Learning from Disagreements: Discriminative Performance Evaluation
-
Christina Pavlopoulou and David Martin and Stella X. Yu and Hao Jiang
-
The 11th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami Beach, Florida, 25 June 2009
-
Abstract
|
Paper
|
Slides
-
Inferring Spatial Layout from a Single Image via Depth-Ordered Grouping
-
Stella X. Yu and Hao Zhang and Jitendra Malik
-
The 6th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision, Anchorage, Alaska, 23 June 2008
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Abstract
|
Paper
|
Slides
|
Code
-
Segmentation Induced by Scale Invariance
-
Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, San Diego, 20-26 June 2005
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Abstract
|
Paper
|
Slides
-
Segmentation Using Multiscale Cues
-
Stella X. Yu
-
IEEE Conference on Computer Vision and Pattern Recognition, Washington DC, 27 June - 2 July 2004
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Abstract
|
Paper
|
Slides
-
Segmentation Given Partial Grouping Constraints
-
Stella X. Yu and Jianbo Shi
-
IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):173-83, 2004
-
Abstract
|
Paper
-
Computational Models of Perceptual Organization
-
Stella X. Yu
-
Ph.D. Thesis, Carnegie Mellon University, May 2003
-
Abstract
|
Paper
|
Slides
-
Multiclass Spectral Clustering
-
Stella X. Yu and Jianbo Shi
-
International Conference on Computer Vision, Nice, France, 11-17 Oct 2003
-
Abstract
|
Paper
|
Slides
-
Object-Specific Figure-Ground Segregation
-
Stella X. Yu and Jianbo Shi
-
IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin, 16-22 June 2003
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Abstract
|
Paper
|
Slides
-
Concurrent Object Recognition and Segmentation by Graph Partitioning
-
Stella X. Yu and Ralph Gross and Jianbo Shi
-
Neural Information Processing Systems, Vancouver, Canada, 9-14 Dec 2002
-
Abstract
|
Paper
|
Slides
-
Understanding Popout through Repulsion
-
Stella X. Yu and Jianbo Shi
-
IEEE Conference on Computer Vision and Pattern Recognition, Kauai Marriott, Hawaii, 9-15 Dec 2001
-
Abstract
|
Paper
(w/ correction)
|
Slides
-
Grouping with Bias
-
Stella X. Yu and Jianbo Shi
-
Neural Information Processing Systems, Vancouver, Canada, 3-8 Dec 2001
-
Abstract
|
Paper
|
Slides
-
Segmentation with Pairwise Attraction and Repulsion
-
Stella X. Yu and Jianbo Shi
-
International Conference on Computer Vision, Vancouver, Canada, 9-12 July 2001
-
Abstract
|
Paper
|
Slides
-
Grouping with Directed Relationships
-
Stella X. Yu and Jianbo Shi
-
Energy Minimization Methods in Computer Vision and Pattern Recognition, Sophia Antipolis, France, 3-5 Sept 2001
-
Abstract
|
Paper
|
Slides
-
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
-
Stella X. Yu and Tai Sing Lee and Takeo Kanade
-
Energy Minimization Methods in Computer Vision and Pattern Recognition, Sophia Antipolis, France, 3-5 Sept 2001
-
Abstract
|
Paper
|
Slides
-
Understanding Popout: Pre-Attentive Segmentation through Nondirectional Repulsion
-
Stella X. Yu and Jianbo Shi
-
Technical Report CMU-RI-TR-01-20, Robotics Institute, Carnegie Mellon University, July 2001
-
Abstract
|
Paper
-
Perceiving Shapes through Region and Boundary Interaction
-
Stella X. Yu and Jianbo Shi
-
Technical Report CMU-RI-TR-01-21, Robotics Institute, Carnegie Mellon University, July 2001
-
Abstract
|
Paper
-
Grouping with Bias
-
Stella X. Yu and Jianbo Shi
-
Technical Report CMU-RI-TR-01-22, Robotics Institute, Carnegie Mellon University, July 2001
-
Abstract
|
Paper
-
An Information-Theoretic Framework for Understanding Saccadic Behaviors
-
Tai Sing Lee and Stella X. Yu
-
Neural Information Processing Systems, Denver, Colorado, 29 Nov - 4 Dec 1999
-
Abstract
|
Paper
-
What Do V1 Neurons Tell Us about Saccadic Suppression?
-
Stella X. Yu and Tai Sing Lee
-
Journal of Neural Computing, 32-3:271-7, 2000
-
Abstract
|
Paper
-
Optimization Models for the First Arrival Target Distribution Function in Discrete Time
-
Stella X. Yu and Yuanlie Lin and Pingfan Yan
-
Journal of Mathematical Analysis and Applications, 225(1):193-223, 1998
-
Abstract
|
Paper