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Jason J. Corso
Publications List
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[1]
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S. Kumar, V. Dhiman, P. Koch, and J. J. Corso.
Learning compositional sparse bimodal models.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 40(5):1032--1044, 2018.
[ bib |
DOI |
code ]
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[2]
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K. R. Keane and J. J. Corso.
The wrong tool for inference --- a critical view of gaussian
graphical models.
In Proceedings of the 7th International Conference on Pattern
Recognition Applications and Methods, 2018.
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[3]
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L. Zhou, C. Xu, and J. J. Corso.
Towards automatic learning of procedures from web instructional
videos.
In Proceedings of AAAI Conference on Artificial Intelligence,
2018.
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code |
data |
http ]
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[4]
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L. Zhou, Y. Zhou, J. J. Corso, R. Socher, and C. Xiong.
End-to-end dense video captioning with masked transformer.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2018.
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code |
.pdf ]
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[5]
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X. Sun, R. Szeto, and J. J. Corso.
A Temporally-Aware Interpolation Network for Video Frame
Inpainting.
In Proceedings of Asian Conference on Computer Vision (ACCV),
2018.
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code |
project |
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[6]
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L. Zhou, N. Louis, and J. J. Corso.
Weakly-supervised video object grounding from text by loss weighting
and object interaction.
In Proceedings of British Machine Vision Conference, 2018.
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.pdf ]
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[7]
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R. Szeto, S. Stent, G. Ros, and J. J. Corso.
A dataset to evaluate the representations learned by video prediction
models.
Technical report, ICLR Workshops, 2018.
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[8]
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A. Venkataraman, B. Griffin, and J. J. Corso.
Learning kinematic descriptions using spare: Simulated and physical
ARticulated extendable dataset.
Technical Report 1803.11147, ARXIV, 2018.
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http ]
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[9]
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V. Dhiman, S. Banerjee, B. Griffin, J. M. Siskind, and J. J. Corso.
A critical investigation of deep reinforcement learning for
navigation.
Technical Report 1802.02274, ARXIV, 2018.
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http ]
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[10]
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S. Patel, B. Griffin, K. Kusano, and J. J. Corso.
Predicting future lane changes of other highway vehicles using
rnn-based deep models.
Technical Report 1801.04340, ARXIV, 2018.
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http ]
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[11]
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M. R. Ganesh, E. Hofesmann, B. Min, N. Gafoor, and J. J. Corso.
T-recs: Training for rate-invariant embeddings by controlling speed
for action recognition.
Technical Report 1803.08094, ARXIV, 2018.
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http ]
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[12]
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E. Hofesmann, M. R. Ganesh, and J. J. Corso.
M-PACT: An open source platform for repeatable activity
classification research.
Technical Report 1804.05879, ARXIV, 2018.
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code |
http ]
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[13]
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M. El Banani and J. J. Corso.
Adviser networks: Learning what question to ask for human-in-the-loop
viewpoint estimation.
Technical Report 1802.01666, ARXIV, 2018.
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code |
http ]
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