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Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus

Oct 02, 2020
Marius Leordeanu, Mihai Pirvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar


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Neural Descent for Visual 3D Human Pose and Shape

Aug 16, 2020
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

* Submitted to NeuriPS 2020 

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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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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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Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows

Mar 23, 2020
Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, Cristian Sminchisescu


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Selfie Drone Stick: A Natural Interface for Quadcopter Photography

Sep 14, 2019
Saif Alabachi, Gita Sukthankar, Rahul Sukthankar


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An Efficient 3D CNN for Action/Object Segmentation in Video

Jul 21, 2019
Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah


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Relational Action Forecasting

Apr 08, 2019
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid

* CVPR 2019 (oral) 

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Customizing Object Detectors for Indoor Robots

Feb 27, 2019
Saif Alabachi, Gita Sukthankar, Rahul Sukthankar

* ICRA 2019 

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Cognitive Mapping and Planning for Visual Navigation

Feb 07, 2019
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik

* Extended IJCV Version of the original paper at CVPR17. Project website with code, models, simulation environment and videos: https://sites.google.com/view/cognitive-mapping-and-planning/ 

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D3D: Distilled 3D Networks for Video Action Recognition

Dec 19, 2018
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar


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Modulated Policy Hierarchies

Nov 30, 2018
Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid

* 8 pages, 5 figures 

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Actor-Centric Relation Network

Jul 28, 2018
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid

* ECCV 2018 camera ready 

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Object category learning and retrieval with weak supervision

Jul 23, 2018
Steven Hickson, Anelia Angelova, Irfan Essa, Rahul Sukthankar

* Camera-ready version for NIPS 2017 workshop Learning with Limited Labeled Data 

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AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

Apr 30, 2018
Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik

* To appear in CVPR 2018. Check dataset page https://research.google.com/ava/ for details 

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Rethinking the Faster R-CNN Architecture for Temporal Action Localization

Apr 20, 2018
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar

* Accepted in CVPR 2018 

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Beyond Skip Connections: Top-Down Modulation for Object Detection

Sep 19, 2017
Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik, Abhinav Gupta


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WebVision Challenge: Visual Learning and Understanding With Web Data

May 16, 2017
Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool

* project page: http://www.vision.ee.ethz.ch/webvision/ 

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Motion Prediction Under Multimodality with Conditional Stochastic Networks

May 05, 2017
Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar


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SfM-Net: Learning of Structure and Motion from Video

Apr 25, 2017
Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki


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Robust Adversarial Reinforcement Learning

Mar 08, 2017
Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta

* 10 pages 

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Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data

Feb 03, 2017
Shumeet Baluja, Michele Covell, Rahul Sukthankar


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Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video

Aug 16, 2016
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari

* 9 pages, 14 figures. This article is obsolete. Its contents are now covered in arXiv:1511.09319, where we discuss a comprehensive system for behavior discovery and spatial alignment of articulated object classes from unstructured video (available at https://arxiv.org/abs/1511.09319

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Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video

Aug 11, 2016
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari

* International Journal of Computer Vision (IJCV), July 2016 
* 19 pages, 19 figure, 3 tables. arXiv admin note: substantial text overlap with arXiv:1411.7883 

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The THUMOS Challenge on Action Recognition for Videos "in the Wild"

Apr 21, 2016
Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah

* Preprint submitted to Computer Vision and Image Understanding 

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Variable Rate Image Compression with Recurrent Neural Networks

Mar 01, 2016
George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

* Under review as a conference paper at ICLR 2016 

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Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision

Dec 01, 2015
Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar

* arXiv admin note: text overlap with arXiv:1411.7714 

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Coreset-Based Adaptive Tracking

Nov 19, 2015
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar

* 8 pages, 5 figures, In submission to IEEE TPAMI (Transactions on Pattern Analysis and Machine Intelligence) 

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