Cordelia Schmid

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Research interests: image and video descripton, object and category recognition, machine learning

Papers355 papers

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What makes for good views for contrastive learning

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

NeurIPS, (2020)

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Ava Active Speaker: An Audio-Visual Dataset for Active Speaker Detection

Joseph Roth,Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin,Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski,Cordelia Schmid, Zhonghua Xi,Caroline Pantofaru

ICASSP, pp.4492-4496, (2020)

Cited by8EIBibtex

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

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

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Beyond the Camera: Neural Networks in World Coordinates

Sigurdsson Gunnar A.,Gupta Abhinav,Schmid Cordelia,Alahari Karteek

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

Dvornik Nikita,Schmid Cordelia,Mairal Julien

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What Makes for Good Views for Contrastive Learning

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

NeurIPS 2020, (2020)

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Learning Obstacle Representations for Neural Motion Planning

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

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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

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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

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Learning Video Representations from Textual Web Supervision

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

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Memory-Efficient Incremental Learning Through Feature Adaptation

Iscen Ahmet,Zhang Jeffrey,Lazebnik Svetlana,Schmid Cordelia

european conference on computer vision, pp.699-715, (2020)

Cited by3Bibtex

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos

Anurag Arnab, Chen Sun,Arsha Nagrani,Cordelia Schmid

european conference on computer vision, pp.751-768, (2020)

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Learning visual policies for building 3D shape categories

Pashevich Alexander, Kalevatykh Igor,Laptev Ivan,Schmid Cordelia

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Multi-modal Transformer for Video Retrieval

Valentin Gabeur,Chen Sun,Karteek Alahari,Cordelia Schmid

european conference on computer vision, pp.214-229, (2020)

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Radioactive data: tracing through training

Sablayrolles Alexandre,Douze Matthijs,Schmid Cordelia,Jégou Hervé

ICML, pp.8326-8335, (2020)

Cited by1EIBibtex

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

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

CVPR, pp.568-577, (2020)

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Unsupervised Learning of Video Representations via Dense Trajectory Clustering

Pavel Tokmakov,Martial Hebert,Cordelia Schmid

ECCV Workshops, pp.404-421, (2020)

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Consistency Guided Scene Flow Estimation

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

european conference on computer vision, pp.125-141, (2020)

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VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

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

CVPR, pp.11522-11530, (2020)

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Speech2Action: Cross-Modal Supervision for Action Recognition

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

CVPR, pp.10314-10323, (2020)

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Papers355 papers

Cordelia Schmid