Stella X. Yu : Papers / Google Scholar

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
Jiayun Wang and Yubei Chen and Stella X. Yu
European Conference on Computer Vision, Milan, Italy, 28 September-4 October 2024
Abstract | Paper | Code | arXiv

Enhancing Meibography Image Analysis Through Artificial Intelligence-Driven Quantification and Standardization for Dry Eye Research
Chun-Hsiao Yeh and Andrew D. Graham and Stella X. Yu and Meng C. Lin
Translational Vision Science and Technology, 13(6), 2024
Abstract | Paper | Journal

Coordinate-based Neural Representations for Computational Adaptive Optics in Widefield Microscopy
Iksung Kang and Qinrong Zhang and Stella X. Yu and Na Ji
Nature Machine Intelligence, 2024
Abstract | Paper | arXiv

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
Yunhui Guo and Youren Zhang and Yubei Chen and Stella X. Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, Washington, 17-21 June 2024
Abstract | Paper | Poster | arXiv

Region-Based Emotion Recognition via Superpixel Feature Pooling
Zhihang Ren and Yifan Wang and Yunhui Guo and Stella X. Yu and David Whitney
IEEE/CVF CVPR Workshop on Populating Empty Cities: Virtual Humans for Robotics and Autonomous Driving, Seattle, Washington, 17 June 2024
Abstract | Paper | Poster | Code

BEAT: Berkeley Emotion and Affect Tracking Dataset
Zhihang Ren and Jefferson Ortega and Yunhui Guo and Stella X. Yu and David Whitney
IEEE/CVF CVPR Workshop on Populating Empty Cities: Virtual Humans for Robotics and Autonomous Driving, Seattle, Washington, 17 June 2024
Abstract | Paper | Poster

Learning Hierarchical Image Segmentation For Recognition and By Recognition
Tsung-Wei Ke and Sangwoo Mo and Stella X. Yu
International Conference on Learning Representations, Vienna, Austria, 7-11 May 2024
Abstract | Paper | Poster | Code

Deep Learning Workflow to Support In-flight Processing of Digital Aerial Imagery for Wildlife Population Surveys
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
PLOS ONE, 2024
Abstract | Paper | Journal

Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
Fei Pan and Sangryul Jeon and Brian Wang and Frank McKenna and Stella X. Yu
IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa Hawaii, 4-8 January 2024
Abstract | Paper | Poster | Code | arXiv

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset
Zhihang Ren and Jefferson Ortega and Yifan Wang and Zhimin Chen and Yunhui Guo and Stella X. Yu and David Whitney
IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa Hawaii, 4-8 January 2024
Abstract | Paper | Poster | Code | arXiv

ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
Alfredo De Goyeneche and Shreya Ramachandran and Ke Wang and Ekin Karasan and Joseph Cheng and Stella X. Yu and Michael Lustig
Neural Information Processing Systems, New Orleans, Louisiana, 9-15 December 2023
Abstract | Paper | Poster | Code

How to Guess a Gradient
Utkarsh Singhal and Brian Cheung and Kartik Chandra and Jonathan Ragan-Kelley and Joshua B. Tenenbaum and Tomaso A. Poggio and Stella X. Yu
Neural Information Processing Systems Workshop on Optimization for Machine Learning, New Orleans, Louisiana, 15 December 2023
Abstract | Paper | Poster | arXiv

Learning to Transform for Generalizable Instance-wise Invariance
Utkarsh Singhal and Carlos Esteves and Ameesh Makadia and Stella X. Yu
International Conference on Computer Vision, Paris, France, 2-6 October 2023
Abstract | Paper | Poster | Code | arXiv

The Audio-Visual BatVision Dataset for Research on Sight and Sound
Amandine Brunetto and Sascha Hornauer and Stella X. Yu and Fabien Moutarde
IEEE International Conference on Intelligent Robots and Systems, Detroit, Michigan, 1-5 October 2023
Abstract | Paper | Slides | Code | arXiv

Local Pseudo-Attributes for Long-Tailed Recognition
Dong-Jin Kim and Tsung-Wei Ke and Stella X. Yu
Pattern Recognition Letters, 172:51-7, 2023
Abstract | Paper | Journal

Serial Dependence in Perception across Naturalistic Generative Adversarial Network-generated Mammogram
Zhihang Ren and Teresa Canas-Bajo and Cristina Ghirardo and Mauro Manassi and Stella X. Yu and David Whitney
Journal of Medical Imaging, 10(4), 2023
Abstract | Paper

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
Long Lian and Zhirong Wu and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, British Columbia, Canada, 2023
Abstract | Paper | Slides | Code | arXiv

Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang and Rohit Girdhar and Stella X. Yu and Ishan Misra
IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, British Columbia, Canada, 2023
Abstract | Paper | Slides | Code | arXiv

Debiased Learning from Naturally Imbalanced Remote Sensing Data
Chun-Hsiao Yeh and Xudong Wang and Stella X. Yu and Charles Hill and Zackery Stech and Scott Kangas
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Multimodal Learning for Earth and Environment, Vancouver, British Columbia, Canada, 19 June 2023
Abstract | Paper | Slides

Modeling Semantic Correlation and Hierarchy for Real-world Wildlife Recognition
Dong-Jin Kim and Zhongqi Miao and Yunhui Guo and Stella X. Yu
IEEE Signal Processing Letters, 30:259-63, 2023
Abstract | Paper | Journal

Challenges and Solutions for Automated Avian Recognition in Aerial Imagery
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
Remote Sensing in Ecology and Conservation, 2023
Abstract | Paper

Compact and Optimal Deep Learning with Recurrent Parameter Generators
Jiayun Wang and Yubei Chen and Stella X. Yu and Brian Cheung and Yann LeCunn
IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, 3-7 January 2023
Abstract | Paper | Slides | Code | arXiv

High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
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
Magnetic Resonance in Medicine, 2023
Abstract | Paper | arXiv

Instance Segmentation of Soft-story Buildings from Street-view Images with Semiautomatic Annotation
Chaofeng Wang and Sascha Hornauer and Stella X. Yu and Frank McKenna and Kincho H. Law
Earthquake Engineering & Structural Dynamics, 2022
Abstract | Paper

Contextual Visual Feature Learning for Zero-Shot Recognition of Human-Object Interactions
Tsung-Wei Ke and Dong-Jin Kim and Stella X. Yu and Liang Gou and Liu Ren
Neural Information Processing Systems Workshop on Human in the Loop Learning, New Orleans, Louisiana, 2 December 2022
Abstract | Paper | Poster

Modeling Semantic Correlation and Hierarchy for Real-world Wildlife Recognition
Dong-Jin Kim and Zhongqi Miao and Yunhui Guo and Stella X. Yu and Kyle Landolt and Mark Koneff and Travis Harrison
Neural Information Processing Systems Workshop on Human in the Loop Learning, New Orleans, Louisiana, 2 December 2022
Abstract | Paper | Poster

Local Pseudo-Attributes for Long-Tailed Recognition
Dong-Jin Kim and Tsung-Wei Ke and Stella X. Yu
Neural Information Processing Systems Workshop on Self-Supervised Learning: Theory and Practice, New Orleans, Louisiana, 3 December 2022
Abstract | Paper

Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models
Utkarsh Singhal and Stella X. Yu and Zackery Steck and Scott Kangas and Aaron A. Reite
Neural Information Processing Systems Workshop on AI for Humanitarian Assistance and Disaster Response, New Orleans, Louisiana, 3 December 2022
Abstract | Paper | Slides

Tracking the Dynamics of the Tear Film Lipid Layer
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
Neural Information Processing Systems Workshop on Medical Imaging, New Orleans, Louisiana, 2 December 2022
Abstract | Paper | Slides | Code | arXiv

Predicting Demographics from Meibography Using Deep Learning
Jiayun Wang and Andrew D. Graham and Stella X. Yu and Meng C. Lin
Nature Scientific Reports, 2022
Abstract | Paper

Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang and Long Lian and Stella X. Yu
European Conference on Computer Vision, Tel Aviv, Isarel, 23-27 October 2022
Abstract | Paper | Poster

Unsupervised Scene Sketch to Photo Synthesis
Jiayun Wang and Sangryul Jeon and Stella X. Yu and Xi Zhang and Himanshu Arora and Yu Lou
European Conference on Computer Vision Workshop on Advances in Image Manipulation (AIM), Tel Aviv, Isarel, 23 October 2022
Abstract | Paper | Slides

3D Shape Reconstruction from Free-Hand Sketches
Jiayun Wang and Jierui Lin and Qian Yu and Runtao Liu and Yubei Chen and Stella X. Yu
European Conference on Computer Vision Workshop on Drawings and Abstract Imagery: Representation and Analysis (DIRA), Tel Aviv, Isarel, 23 October 2022
Abstract | Paper | Slides

Open Long-Tailed Recognition in A Dynamic World
Ziwei Liu and Zhongqi Miao and Xiaohang Zhan and Jiayun Wang and Boqing Gong and Stella X. Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Abstract | Paper

Automated Measurement of Migration Percentage in Hip Surveillance Radiographs: Development and Testing of a Deep-Learning Algorithm
Chun-Hsiao Yeh and Justin Krogue and Patrick Donahue and Marie Villalba and Sangryul Jeon and Stella X. Yu and Vedant A. Kulkarni
American Academy for Cerebral Palsy and Developmental Medicine Annual Meeting, Las Vegas, 21-24 September 2022
Abstract | Paper

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images
Yunhui Guo and Chaofeng Wang and Stella X. Yu and Frank McKenna and Kincho H. Law
Journal of Computing in Civil Engineering, 36(5):04022024, 2022
Abstract | Paper

Learning Data-Driven Complex-valued Butterfly Transform for Hyperspectral Image Classification
Utkarsh Singhal and Stella X. Yu
International Joint Conference on Neural Networks (IEEE WCCI), Centro Congressi, Padova, Italy, 18-23 July 2022
Abstract | Paper | Slides

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Tsung-Wei Ke and Jyh-Jing Hwang and Yunhui Guo and Xudong Wang and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
Abstract | Paper | Slides | Code | arXiv

Co-Domain Symmetry for Complex-Valued Deep Learning
Utkarsh Singhal and Yifei Xing and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
Abstract | Paper | Slides | Code | arXiv

Debiased Learning from Naturally Imbalanced Pseudo-Labels
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
Abstract | Paper | Slides | Code | arXiv

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
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
Abstract | Paper | Slides | arXiv

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
Yunhui Guo and Haoran Guo and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, 19-24 June 2022
Abstract | Paper | Slides | Code | arXiv

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
Ke Wang and Jonathan I. Tamir and Alfredo De Goyeneche and Uri Wollner and Rafi Brada and Stella X. Yu and Michael Lustig
Magnetic Resonance in Medicine, 2022
Abstract | Paper | arXiv

Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation
Arian Ranjbar and Sascha Hornauer and Jonas Fredriksson and Stella X. Yu and Ching-Yao Chan
IEEE Transactions on Intelligent Vehicles, 2022
Abstract | Paper | Code

Broad Adversarial Training with Data Augmentation in the Output Space
Nils Worzyk and Stella X. Yu
AAAI Workshop on Adversarial Machine Learning and Beyond, Online, 2022
Abstract | Paper

Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning
Zhihang Ren and Yunhui Guo and Stella X. Yu and David Whitney
IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies, Washington D.C., 16-18 December 2021
Abstract | Paper

The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
Runtao Liu and Zhirong Wu and Stella X. Yu and Stephen Lin
Conference on Neural Information Processing Systems, Online, 7-10 December 2021
Abstract | Paper | Slides | Code | arXiv

Contextual Image Parsing via Panoptic Segment Sorting
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
Abstract | Paper

Memory-efficient Learning for High-Dimensional MRI Reconstruction
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
Abstract | Paper | Poster | arXiv

Iterative Human and Automated Identification of Wildlife Images
Zhongqi Miao and Ziwei Liu and Kaitlyn M. Gaynor and Meredith S. Palmer and Stella X. Yu and Wayne M. Getz
Nature Machine Intelligence, 2021
Abstract | Paper | arXiv

Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration using Retinal Fundus Images
Baladitya Yellapragada and Sascha Hornauer and Kiersten Snyder and Stella X. Yu and Glenn Yiu
Ophthalmology Retina, 2021
Abstract | Paper | Code

Quantifying Meibomian Gland Morphology Using Artificial Intelligence
Jiayun Wang and Shixuan Li and Thao N. Yeh and Rudrasis Chakraborty and Andrew Graham and Stella X. Yu and Meng C. Lin
Optometry and Vision Science, 2021
Abstract | Paper

Spatial Transformer for 3D Point Clouds
Jiayun Wang and Rudrasis Chakraborty and Stella X. Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Abstract | Paper | Code | arXiv

Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang and Long Lian and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, Online, 19-25 June 2021
Abstract | Paper | Slides | Code | arXiv

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang and Ziwei Liu and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, Online, 19-25 June 2021
Abstract | Paper | Slides | Code | arXiv

Unsupervised Discriminative Learning of Sounds for Audio Event Classification
Sascha Hornauer and Ke Li and Stella X. Yu and Shabnam Ghaffarzadegan and Liu Ren
IEEE International Conference on Acoustics, Speech and Signal Processing, Online, 6-11 June 2021
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
Magna Laude Award, International Society for Magnetic Resonance in Medicine, Online, 15-20 May 2021
Abstract | Paper | arXiv

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Tsung-Wei Ke and Jyh-Jing Hwang and Stella X. Yu
International Conference on Learning Representations, Online, 4-8 May 2021
Abstract | Paper | Slides | Code | arXiv

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
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
Abstract | Paper | Slides | Code | arXiv

Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning
Chun-Hsiao Yeh and Stella X. Yu and Meng C. Lin
Translational Vision Science and Technology, 10(2):4, 2021
Abstract | Paper | Journal

Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Xudong Wang and Stella X. Yu
AAAI Conference on Artificial Intelligence, Online, 2-9 February 2021
Abstract | Paper | Slides | Code | arXiv

Machine Learning-Based Regional Scale Intelligent Modeling of Building Information for Natural Hazard Risk Management
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
Automation in Construction, 122(103474):1-14, 2021
Abstract | Paper

Controllable Medical Image Generation via Generative Adversarial Networks
Zhihang Ren and Stella X. Yu and David Whitney
Journal of Perceptual Imaging, Online, 19-27 January 2021
Abstract | Paper

SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold
Rudrasis Chakraborty and Yifei Xing and Stella X. Yu
IEEE Transactions on Neural Networks and Learning Systems, 2020
Abstract | Paper | Code | arXiv

Rapid Visual Screening of Soft-Story Buildings from Street View Images Using Deep Learning Classification
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
Abstract | Paper | Code

Unsupervised Sketch to Photo Synthesis
Runtao Liu and Qian Yu and Stella X. Yu
European Conference on Computer Vision, Online, 23-28 August 2020
Abstract | Paper | Slides | Code

High-Fidelity Reconstruction with Instance-wise Discriminative Feature Matching Loss
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
Abstract | Paper

High Fidelity Direct-Contrast Synthesis from Magnetic Resonance Fingerprinting in Diagnostic Imaging
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
Summa Cum Laude Award, International Society for Magnetic Resonance in Medicine, Online, 8-14 August 2020
Abstract | Paper

Scene Novelty Prediction from Unsupervised Discriminative Feature Learning
Arian Ranjbar and Chun-Hsiao Yeh and Sascha Hornauer and Stella X. Yu and Ching-Yao Chan
International Conference on Intelligent Transportation Systems, Online, 2020
Abstract | Paper

Open Compound Domain Adaptation
Ziwei Liu and Zhongqi Miao and Xingang Pan and Xiaohang Zhan and Dahua Lin and Stella X. Yu and Boqing Gong
IEEE Conference on Computer Vision and Pattern Recognition, Online, 16-18 June 2020
Abstract | Paper | Slides | Code

Orthogonal Convolutional Neural Networks
Jiayun Wang and Yubei Chen and Rudrasis Chakraborty and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition, Online, 16-18 June 2020
Abstract | Paper | Slides | Code

BatVision with GCC-PHAT Features for Better Sound to Vision Predictions
Jesper Haahr Christensen and Sascha Hornauer and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition Workshop: Sight and Sound, Online, 15 June 2020
Abstract | Paper | Slides | Code

C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning
Rudrasis Chakraborty and Yifei Xing and Minxuan Duan and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition Workshop: Perception Beyond the Visible Spectrum, Online, 14 June 2020
Abstract | Paper | Slides

BatVision: Learning to See 3D Spatial Layout with Two Ears
Jesper Haahr Christensen and Sascha Hornauer and Stella X. Yu
IEEE International Conference on Robotics and Automation, Paris, France, 31 May - 4 June 2020
Abstract | Paper | Slides | Code

DeepInPy: Deep Inverse Problems in Python
Jonathan I. Tamir and Stella X. Yu and Michael Lustig
ISMRM Workshop on Data Sampling and Image Reconstruction, Sedona, AZ, 26-29 January 2020
Abstract | Paper | Code

A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images
Jiayun Wang and Thao N. Yeh and Rudrasis Chakraborty and Stella X. Yu and Meng C. Lin
Translational Vision Science and Technology, 8(6):37, 2019
Abstract | Paper

Unsupervised Deep Basis Pursuit: Learning Inverse Problems without Ground-truth Data
Jonathan I. Tamir and Stella X. Yu and Michael Lustig
Neural Information Processing Systems Workshop on Solving Inverse Problems with Deep Networks, Vancouver, Canada, 2019
Abstract | Paper | Poster

Building Information Modeling and Classification by Visual Learning at A City Scale
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
Abstract | Paper

SegSort: Segmentation by Discriminative Sorting of Segments
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
International Conference on Computer Vision, Seoul, South Korea, 26 October - 1 November 2019
Abstract | Paper | Poster | 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
Abstract | Paper | Slides | Journal

Adversarial Structure Matching for Structured Prediction Tasks
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 | 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
Abstract | Paper | Poster | Code | arXiv

Visual Similarity from Optimizing Feature and Memory On A Hypersphere
Xinlei Pan and Rudrasis Chakraborty and Stella X. Yu
IEEE Conference on Computer Vision and Pattern Recognition Workshop: Vision Meets Cognition, Long Beach, California, 16 June 2019
Abstract | Paper | Poster

Driving Scene Retrieval by Example from Large-Scale Data
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
Abstract | Paper | Poster

Insights and Approaches Using Deep Learning to Classify Wildlife
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
Abstract | Paper

Unsupervised Deep Basis Pursuit: Learning Reconstruction without Ground-Truth Data
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
Abstract | Paper | Slides

Visualizing Material Quality and Similarity of mc-Si Wafers Learned by Convolutional Regression Networks
Matthias Demant and Patrick Virtue and Aditya Kovvali and Stella X. Yu and Stefan Rein
IEEE Journal of Photovoltaics, 9(4):1073-1080, 2019
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
Abstract | Paper

Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability
Jakob Suchan and Mehul Bhatt and Srikrishna Vardarajan and Seyed Ali Amirshahi and Stella Yu
Advances in Cognitive Systems, 2018
Abstract | Paper

Deep Learning Approach to Inline Quality Rating and Mapping of Multi-crystalline Si-wafers
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
Abstract | Paper

Adaptive Affinity Fields for Semantic Segmentation
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
Abstract | Paper | Poster | Journal

Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu and Alexei A. Efros and Stella X. Yu
European Conference on Computer Vision, Munich, Germany, 10-13 September 2018
Abstract | Paper | Poster | Journal

Imitation Learning of Path-Planned Driving using Disparity-Depth Images
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
Abstract | Paper | Poster

Motion Selectivity of Neurons in Self-Driving Networks
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
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
Abstract | Paper

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
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
Abstract | Paper | Poster | Journal

Learning Contrast Synthesis from MR Fingerprinting
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
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
Abstract | Paper | Slides | Code | arXiv

A Convolutional Neural Network-based Screening Tool for X-ray Serial Crystallography
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Abstract | Paper | Slides

Edge-Preserving Laplacian Pyramid
Stella X. Yu
International Symposium on Visual Computing, Las Vegas, Nevada, 30 Nov-2 Dec 2009
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
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
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
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
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
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
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
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
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
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
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