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Augmenting differentiable physics with randomized smoothing



Quentin Le Lidec , Louis Montaut , Cordelia Schmid , Ivan Laptev , Justin Carpentier


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Zero-Shot Video Question Answering via Frozen Bidirectional Language Models



Antoine Yang , Antoine Miech , Josef Sivic , Ivan Laptev , Cordelia Schmid

* 23 pages; 5 figures 

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Weakly-supervised segmentation of referring expressions



Robin Strudel , Ivan Laptev , Cordelia Schmid


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Learning to Answer Visual Questions from Web Videos



Antoine Yang , Antoine Miech , Josef Sivic , Ivan Laptev , Cordelia Schmid

* Accepted at the TPAMI Special Issue on the Best Papers of ICCV 2021. Journal extension of the conference paper arXiv:2012.00451. 16 pages, 13 figures 

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TubeDETR: Spatio-Temporal Video Grounding with Transformers



Antoine Yang , Antoine Miech , Josef Sivic , Ivan Laptev , Cordelia Schmid

* Accepted at CVPR 2022 (Oral); 17 pages; 8 figures 

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Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos



Tomáš Souček , Jean-Baptiste Alayrac , Antoine Miech , Ivan Laptev , Josef Sivic

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 

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Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems



Quentin Le Lidec , Louis Montaut , Cordelia Schmid , Ivan Laptev , Justin Carpentier


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Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation



Shizhe Chen , Pierre-Louis Guhur , Makarand Tapaswi , Cordelia Schmid , Ivan Laptev


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Are Large-scale Datasets Necessary for Self-Supervised Pre-training?



Alaaeldin El-Nouby , Gautier Izacard , Hugo Touvron , Ivan Laptev , Hervé Jegou , Edouard Grave


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