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Learning Obstacle Representations for Neural Motion Planning

Aug 29, 2020
Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid


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TNT: Target-driveN Trajectory Prediction

Aug 21, 2020
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov


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The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)

Aug 03, 2020
Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao

* Individual reports, dataset information, rules, and released source code can be found at the competition webpage (https://www.robots.ox.ac.uk/~vgg/challenges/video-pentathlon

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Learning Video Representations from Textual Web Supervision

Jul 29, 2020
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid


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Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos

Jul 21, 2020
Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid

* ECCV 2020 

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Multi-modal Transformer for Video Retrieval

Jul 21, 2020
Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid

* ECCV 2020 (spotlight paper) 

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Unsupervised Learning of Video Representations via Dense Trajectory Clustering

Jun 28, 2020
Pavel Tokmakov, Martial Hebert, Cordelia Schmid


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Consistency Guided Scene Flow Estimation

Jun 19, 2020
Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu


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TAO: A Large-Scale Benchmark for Tracking Any Object

May 20, 2020
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

* Project page: http://taodataset.org/ 

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What makes for good views for contrastive learning

May 20, 2020
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

* submitted to ECCV 2020 

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VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

May 08, 2020
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid

* CVPR 2020 

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Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction

Apr 28, 2020
Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid

* CVPR 2020. See the project webpage at https://hassony2.github.io/handobjectconsist.html 

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Learning visual policies for building 3D shape categories

Apr 15, 2020
Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid


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Memory-Efficient Incremental Learning Through Feature Adaptation

Apr 01, 2020
Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid


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Speech2Action: Cross-modal Supervision for Action Recognition

Mar 30, 2020
Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman

* Accepted to CVPR 2020 

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Selecting Relevant Features from a Universal Representation for Few-shot Classification

Mar 20, 2020
Nikita Dvornik, Cordelia Schmid, Julien Mairal


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Beyond the Camera: Neural Networks in World Coordinates

Mar 12, 2020
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari


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Radioactive data: tracing through training

Feb 03, 2020
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou


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Optimized Generic Feature Learning for Few-shot Classification across Domains

Jan 22, 2020
Tonmoy Saikia, Thomas Brox, Cordelia Schmid


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Synthetic Humans for Action Recognition from Unseen Viewpoints

Dec 09, 2019
G√ľl Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman


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Learning to Track Any Object

Oct 25, 2019
Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

* To be presented at the Holistic Video Understanding workshop at ICCV 

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Graph convolutional networks for learning with few clean and many noisy labels

Oct 01, 2019
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid


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White-box vs Black-box: Bayes Optimal Strategies for Membership Inference

Aug 29, 2019
Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou


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Combining learned skills and reinforcement learning for robotic manipulations

Aug 02, 2019
Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid

* 11 pages 

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Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images

Aug 01, 2019
Valentin Gabeur, Jean-Sebastien Franco, Xavier Martin, Cordelia Schmid, Gregory Rogez

* Accepted at ICCV 2019 

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Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera

Jul 12, 2019
Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu


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Contrastive Bidirectional Transformer for Temporal Representation Learning

Jun 13, 2019
Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid


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A Study on Action Detection in the Wild

Apr 29, 2019
Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid


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