Cordelia Schmid

Learning Temporal Dynamics from Cycles in Narrated Video

Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun

Comments ICCV 2021

Segmenter: Transformer for Semantic Segmentation

Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid

Comments ICCV 2021. Code available at https://github.com/rstrudel/segmenter

Learning Video Representations from Textual Web Supervision

Jonathan C. Stroud, Zhichao Lu, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid, David A. Ross

Episodic Transformer for Vision-and-Language Navigation

Alexander Pashevich, Cordelia Schmid, Chen Sun

Comments ICCV 2021; 19 pages; Code available at https://github.com/alexpashevich/E.T

Airbert: In-domain Pretraining for Vision-and-Language Navigation

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

Comments To be published on ICCV 2021. Webpage is at https://airbert-vln.github.io/ linking to our dataset, codes and models

Composable Augmentation Encoding for Video Representation Learning

Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid

Comments ICCV 2021 camera ready

Just Ask: Learning to Answer Questions from Millions of Narrated Videos

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

Comments Accepted at ICCV 2021 (Oral); 20 pages; 14 figures

Goal-Conditioned Reinforcement Learning with Imagined Subgoals

Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev

Comments ICML 2021. See the project webpage at https://www.di.ens.fr/willow/research/ris/

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps

Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov

Residual Reinforcement Learning from Demonstrations

Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid

Synthetic Humans for Action Recognition from Unseen Viewpoints

Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman

Comments 21 pages

Journal ref International Journal of Computer Vision (2021)

Local Metrics for Multi-Object Tracking

Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid

Improving robustness against common corruptions with frequency biased models

Tonmoy Saikia, Cordelia Schmid, Thomas Brox

Unified Graph Structured Models for Video Understanding

Anurag Arnab, Chen Sun, Cordelia Schmid

Look Before you Speak: Visually Contextualized Utterances

Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid

Learning Obstacle Representations for Neural Motion Planning

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

Comments CoRL 2020. See the project webpage at https://www.di.ens.fr/willow/research/nmp_repr/

What Makes for Good Views for Contrastive Learning?

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

Comments NeurIPS 2020. Project page: https://hobbitlong.github.io/InfoMin/

Learning visual policies for building 3D shape categories

Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid

Comments IROS 2020

Memory-Efficient Incremental Learning Through Feature Adaptation

Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid

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

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid

TNT: Target-driveN Trajectory Prediction

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

Consistency Guided Scene Flow Estimation

Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu

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

Comments 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)

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos

Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid

Comments ECCV 2020

Multi-modal Transformer for Video Retrieval

Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid

Comments ECCV 2020 (spotlight paper)

Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification

Nikita Dvornik, Cordelia Schmid, Julien Mairal

Comments ECCV'20

Unsupervised Learning of Video Representations via Dense Trajectory Clustering

Pavel Tokmakov, Martial Hebert, Cordelia Schmid

Learning to combine primitive skills: A step towards versatile robotic manipulation

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

Comments ICRA 2020. See the project webpage at https://www.di.ens.fr/willow/research/rlbc/

Journal ref IEEE ROBOTICS AND AUTOMATION LETTERS, JULY 2020. 4637-4643

TAO: A Large-Scale Benchmark for Tracking Any Object

Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

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

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

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

Comments CVPR 2020