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Spotting Temporally Precise, Fine-Grained Events in Video


Jul 20, 2022
James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

* ECCV 2022; Website URL: https://jhong93.github.io/projects/spot.html 

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Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning


Apr 15, 2022
Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré


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Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision


Mar 24, 2022
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré


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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories


Sep 13, 2021
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

* Accepted to ICCV 2021; 12 pages, 12 figures 

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Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition


Sep 03, 2021
James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian

* ICCV 2021 (poster) 

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Mandoline: Model Evaluation under Distribution Shift


Jul 01, 2021
Mayee Chen, Karan Goel, Nimit Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

* 32 pages. Published as a conference paper at ICML 2021 

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Large Batch Simulation for Deep Reinforcement Learning


Mar 12, 2021
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

* Published as a conference paper at ICLR 2021 

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Iterative Text-based Editing of Talking-heads Using Neural Retargeting


Nov 21, 2020
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala

* Project Website is https://davidyao.me/projects/text2vid 

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Background Splitting: Finding Rare Classes in a Sea of Background


Aug 28, 2020
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian


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Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players


Aug 11, 2020
Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian

* Supplemental: https://cs.stanford.edu/~haotianz/research/vid2player/ 

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