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2020 – today
- 2023
[i157]Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata:
Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR abs/2302.11012 (2023)- [i156]Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CoRR abs/2302.14115 (2023) - [i155]Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR. CoRR abs/2303.16501 (2023) - [i154]Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee:
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification. CoRR abs/2304.01804 (2023) - [i153]Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata:
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CoRR abs/2304.03391 (2023) - [i152]Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CoRR abs/2304.05173 (2023) - [i151]Quentin Le Lidec, Wilson Jallet, Louis Montaut, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Contact Models in Robotics: a Comparative Analysis. CoRR abs/2304.06372 (2023) - [i150]Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. CoRR abs/2304.06708 (2023) - [i149]Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. CoRR abs/2304.11970 (2023) - [i148]Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab:
End-to-End Spatio-Temporal Action Localisation with Video Transformers. CoRR abs/2304.12160 (2023) - [i147]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Learning Video-Conditioned Policies for Unseen Manipulation Tasks. CoRR abs/2305.06289 (2023) - 2022
- [c235]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. BMVC 2022: 388 - [c234]Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia Pinel, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. CoRL 2022: 175-187 - [c233]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CVPR 2022: 3323-3333 - [c232]Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CVPR 2022: 4662-4671 - [c231]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CVPR 2022: 16421-16432 - [c230]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. CVPR 2022: 16516-16526 - [c229]Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. CVPR 2022: 17938-17947 - [c228]Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev:
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. ECCV (1) 2022: 231-248 - [c227]Arsha Nagrani
, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid:
Learning Audio-Video Modalities from Image Captions. ECCV (14) 2022: 407-426 - [c226]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. ECCV (34) 2022: 540-557 - [c225]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation. ECCV (39) 2022: 638-655 - [c224]Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
AVATAR: Unconstrained Audiovisual Speech Recognition. INTERSPEECH 2022: 2818-2822 - [c223]Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. IROS 2022: 10223-10229 - [c222]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding. NeurIPS 2022 - [c221]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. NeurIPS 2022 - [c220]Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. WACV 2022: 2111-2120 - [i146]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CoRR abs/2201.04288 (2022) - [i145]Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. CoRR abs/2201.08264 (2022) - [i144]Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CoRR abs/2202.02200 (2022) - [i143]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. CoRR abs/2202.11742 (2022) - [i142]Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. CoRR abs/2203.00115 (2022) - [i141]Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems. CoRR abs/2203.03986 (2022) - [i140]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CoRR abs/2203.16434 (2022) - [i139]Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid:
Learning Audio-Video Modalities from Image Captions. CoRR abs/2204.00679 (2022) - [i138]Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. CoRR abs/2204.09616 (2022) - [i137]Robin Strudel, Ivan Laptev, Cordelia Schmid:
Weakly-supervised segmentation of referring expressions. CoRR abs/2205.04725 (2022) - [i136]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Learning to Answer Visual Questions from Web Videos. CoRR abs/2205.05019 (2022) - [i135]Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
AVATAR: Unconstrained Audiovisual Speech Recognition. CoRR abs/2206.07684 (2022) - [i134]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. CoRR abs/2206.08155 (2022) - [i133]Xuehan Xiong, Anurag Arnab, Arsha Nagrani, Cordelia Schmid:
M&M Mix: A Multimodal Multiview Transformer Ensemble. CoRR abs/2206.09852 (2022) - [i132]Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Augmenting differentiable physics with randomized smoothing. CoRR abs/2206.11884 (2022) - [i131]Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid:
Beyond Transfer Learning: Co-finetuning for Action Localisation. CoRR abs/2207.03807 (2022) - [i130]Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev:
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. CoRR abs/2207.12909 (2022) - [i129]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. CoRR abs/2208.06773 (2022) - [i128]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation. CoRR abs/2208.11781 (2022) - [i127]Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia Pinel, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid:
Instruction-driven history-aware policies for robotic manipulations. CoRR abs/2209.04899 (2022) - [i126]Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. CoRR abs/2209.09006 (2022) - [i125]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. CoRR abs/2210.04485 (2022) - [i124]Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Learning Reward Functions for Robotic Manipulation by Observing Humans. CoRR abs/2211.09019 (2022) - [i123]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding. CoRR abs/2211.09646 (2022) - [i122]Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
AVATAR submission to the Ego4D AV Transcription Challenge. CoRR abs/2211.09966 (2022) - [i121]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction. CoRR abs/2211.14308 (2022) - [i120]Mathilde Caron, Neil Houlsby, Cordelia Schmid:
Location-Aware Self-Supervised Transformers. CoRR abs/2212.02400 (2022) - [i119]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022) - [i118]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. CoRR abs/2212.05922 (2022) - [i117]Matthieu Futeral, Cordelia Schmid, Ivan Laptev, Benoît Sagot, Rachel Bawden:
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation. CoRR abs/2212.10140 (2022) - 2021
- [j52]Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. Int. J. Comput. Vis. 129(7): 2264-2287 (2021) - [j51]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2014-2028 (2021) - [j50]Quentin Le Lidec, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Simulation for Physical System Identification. IEEE Robotics Autom. Lett. 6(2): 3413-3420 (2021) - [c219]Yana Hasson, Gül Varol, Cordelia Schmid, Ivan Laptev:
Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos. 3DV 2021: 659-668 - [c218]Ahmet Iscen, Andre Araujo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. BMVC 2021: 165 - [c217]Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CVPR 2021: 4227-4236 - [c216]Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
Look Before You Speak: Visually Contextualized Utterances. CVPR 2021: 16877-16887 - [c215]Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. ICCV 2021: 1460-1469 - [c214]Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid:
Airbert: In-domain Pretraining for Vision-and-Language Navigation. ICCV 2021: 1614-1623 - [c213]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. ICCV 2021: 1666-1677 - [c212]Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. ICCV 2021: 6816-6826 - [c211]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. ICCV 2021: 7242-7252 - [c210]Anurag Arnab, Chen Sun, Cordelia Schmid:
Unified Graph Structured Models for Video Understanding. ICCV 2021: 8097-8106 - [c209]Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. ICCV 2021: 8814-8824 - [c208]Tonmoy Saikia, Cordelia Schmid, Thomas Brox:
Improving robustness against common corruptions with frequency biased models. ICCV 2021: 10191-10200 - [c207]Alexander Pashevich, Cordelia Schmid, Chen Sun:
Episodic Transformer for Vision-and-Language Navigation. ICCV 2021: 15922-15932 - [c206]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. ICML 2021: 1430-1440 - [c205]Cordelia Schmid:
Do you see what I see?: Large-scale Learning from Multimodal Videos. ACM Multimedia 2021: 2643 - [c204]Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev:
History Aware Multimodal Transformer for Vision-and-Language Navigation. NeurIPS 2021: 5834-5847 - [c203]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. NeurIPS 2021: 14042-14055 - [c202]Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. NeurIPS 2021: 14200-14213 - [c201]Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. NeurIPS 2021: 16764-16778 - [c200]Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable rendering with perturbed optimizers. NeurIPS 2021: 20398-20409 - [i116]Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. CoRR abs/2101.02337 (2021) - [i115]Anurag Arnab, Chen Sun, Cordelia Schmid:
Unified Graph Structured Models for Video Understanding. CoRR abs/2103.15662 (2021) - [i114]Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. CoRR abs/2103.15691 (2021) - [i113]Tonmoy Saikia, Cordelia Schmid, Thomas Brox:
Improving robustness against common corruptions with frequency biased models. CoRR abs/2103.16241 (2021) - [i112]Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid:
Composable Augmentation Encoding for Video Representation Learning. CoRR abs/2104.00616 (2021) - [i111]Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid:
Local Metrics for Multi-Object Tracking. CoRR abs/2104.02631 (2021) - [i110]Ahmet Iscen, André Araujo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. CoRR abs/2104.05279 (2021) - [i109]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. CoRR abs/2105.05633 (2021) - [i108]Alexander Pashevich, Cordelia Schmid, Chen Sun:
Episodic Transformer for Vision-and-Language Navigation. CoRR abs/2105.06453 (2021) - [i107]Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. CoRR abs/2106.06650 (2021) - [i106]Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Residual Reinforcement Learning from Demonstrations. CoRR abs/2106.08050 (2021) - [i105]Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CoRR abs/2106.14880 (2021) - [i104]Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. CoRR abs/2107.00135 (2021) - [i103]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. CoRR abs/2107.00541 (2021) - [i102]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. CoRR abs/2107.08037 (2021) - [i101]Yana Hasson, Gül Varol, Ivan Laptev, Cordelia Schmid:
Towards unconstrained joint hand-object reconstruction from RGB videos. CoRR abs/2108.07044 (2021) - [i100]Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid:
Airbert: In-domain Pretraining for Vision-and-Language Navigation. CoRR abs/2108.09105 (2021) - [i99]Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Rendering with Perturbed Optimizers. CoRR abs/2110.09107 (2021) - [i98]Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev:
History Aware Multimodal Transformer for Vision-and-Language Navigation. CoRR abs/2110.13309 (2021) - [i97]Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. CoRR abs/2111.01300 (2021) - 2020
- [j49]Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1146-1161 (2020) - [c199]Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRL 2020: 355-364 - [c198]Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driven Trajectory Prediction. CoRL 2020: 895-904 - [c197]Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. CVPR 2020: 568-577 - [c196]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. CVPR 2020: 10314-10323 - [c195]Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. CVPR 2020: 11522-11530 - [c194]Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. ECCV (7) 2020: 125-141 - [c193]Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. ECCV (4) 2020: 214-229 - [c192]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. ECCV (10) 2020: 286-302 - [c191]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) 2020: 404-421 - [c190]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) 2020: 436-454 - [c189]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) 2020: 699-715 - [c188]Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. ECCV (10) 2020: 751-768 - [c187]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. ECCV (10) 2020: 769-786 - [c186]Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
Ava Active Speaker: An Audio-Visual Dataset for Active Speaker Detection. ICASSP 2020: 4492-4496 - [c185]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. ICML 2020: 8326-8335 - [c184]Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Learning to combine primitive skills: A step towards versatile robotic manipulation §. ICRA 2020: 4637-4643 - [c183]Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. IROS 2020: 8073-8080 - [c182]Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What Makes for Good Views for Contrastive Learning? NeurIPS 2020 - [i96]Tonmoy Saikia, Thomas Brox, Cordelia Schmid:
Optimized Generic Feature Learning for Few-shot Classification across Domains. CoRR abs/2001.07926 (2020) - [i95]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. CoRR abs/2002.00937 (2020) - [i94]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. CoRR abs/2003.05614 (2020) - [i93]