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Ivan Laptev
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2020 – today
- 2024
- [j22]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Multi-Task Learning of Object States and State-Modifying Actions From Web Videos. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5114-5130 (2024) - [j21]Quentin Le Lidec, Wilson Jallet, Louis Montaut, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Contact Models in Robotics: A Comparative Analysis. IEEE Trans. Robotics 40: 3716-3733 (2024) - [c110]Ammar Ali, Georgii Gaikov, Denis Rybalchenko, Alexander Chigorin, Ivan Laptev, Sergey Zagoruyko:
PairDETR : Joint Detection and Association of Human Bodies and Faces. CVPR 2024: 423-432 - [c109]Tomás Soucek, Dima Damen, Michael Wray, Ivan Laptev, Josef Sivic:
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. CVPR 2024: 6561-6571 - [c108]Shizhe Chen, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
SUGAR : Pre-training 3D Visual Representations for Robotics. CVPR 2024: 18049-18060 - [i87]Shizhe Chen, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
SUGAR: Pre-training 3D Visual Representations for Robotics. CoRR abs/2404.01491 (2024) - [i86]Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos. CoRR abs/2404.15709 (2024) - [i85]Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev:
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. CoRR abs/2406.09250 (2024) - [i84]Ridouane Ghermi, Xi Wang, Vicky Kalogeiton, Ivan Laptev:
Short Film Dataset (SFD): A Benchmark for Story-Level Video Understanding. CoRR abs/2406.10221 (2024) - [i83]Rikhat Akizhanov, Victor Dhédin, Majid Khadiv, Ivan Laptev:
Learning feasible transitions for efficient contact planning. CoRR abs/2407.11788 (2024) - 2023
- [j20]Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou:
Image Compression with Product Quantized Masked Image Modeling. Trans. Mach. Learn. Res. 2023 (2023) - [c107]Matthieu Futeral, Cordelia Schmid, Ivan Laptev, Benoît Sagot, Rachel Bawden:
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation. ACL (1) 2023: 5394-5413 - [c106]Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRL 2023: 1761-1781 - [c105]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. CVPR 2023: 10714-10726 - [c104]Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. CVPR 2023: 12890-12900 - [c103]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Learning Video-Conditioned Policies for Unseen Manipulation Tasks. ICRA 2023: 909-916 - [c102]Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. ICRA 2023: 946-952 - [c101]Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. IROS 2023: 992-999 - [c100]Shizhe Chen, Thomas Chabal, Ivan Laptev, Cordelia Schmid:
Object Goal Navigation with Recursive Implicit Maps. IROS 2023: 7089-7096 - [c99]Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. NeurIPS 2023 - [i82]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) - [i81]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) - [i80]Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev:
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. CoRR abs/2304.11970 (2023) - [i79]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Learning Video-Conditioned Policies for Unseen Manipulation Tasks. CoRR abs/2305.06289 (2023) - [i78]Ricardo Garcia Pinel, Robin Strudel, Shizhe Chen, Etienne Arlaud, Ivan Laptev, Cordelia Schmid:
Robust Visual Sim-to-Real Transfer for Robotic Manipulation. CoRR abs/2307.15320 (2023) - [i77]Shizhe Chen, Thomas Chabal, Ivan Laptev, Cordelia Schmid:
Object Goal Navigation with Recursive Implicit Maps. CoRR abs/2308.05602 (2023) - [i76]Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. CoRR abs/2309.13952 (2023) - [i75]Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRR abs/2309.15596 (2023) - [i74]Tomás Soucek, Dima Damen, Michael Wray, Ivan Laptev, Josef Sivic:
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. CoRR abs/2312.07322 (2023) - 2022
- [j19]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. Int. J. Comput. Vis. 130(2): 363-383 (2022) - [c98]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 - [c97]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. CVPR 2022: 13936-13946 - [c96]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CVPR 2022: 16421-16432 - [c95]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 - [c94]Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev:
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. ECCV (1) 2022: 231-248 - [c93]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 - [c92]Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding. NeurIPS 2022 - [c91]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. NeurIPS 2022 - [i73]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) - [i72]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) - [i71]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. CoRR abs/2203.11637 (2022) - [i70]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CoRR abs/2203.16434 (2022) - [i69]Robin Strudel, Ivan Laptev, Cordelia Schmid:
Weakly-supervised segmentation of referring expressions. CoRR abs/2205.04725 (2022) - [i68]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Learning to Answer Visual Questions from Web Videos. CoRR abs/2205.05019 (2022) - [i67]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) - [i66]Quentin Le Lidec, Louis Montaut, Cordelia Schmid, Ivan Laptev, Justin Carpentier:
Augmenting differentiable physics with randomized smoothing. CoRR abs/2206.11884 (2022) - [i65]Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev:
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. CoRR abs/2207.12909 (2022) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Multi-Task Learning of Object State Changes from Uncurated Videos. CoRR abs/2211.13500 (2022) - [i59]Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou:
Image Compression with Product Quantized Masked Image Modeling. CoRR abs/2212.07372 (2022) - [i58]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
- [j18]Makarand Tapaswi, Vijay Kumar, Ivan Laptev:
Long term spatio-temporal modeling for action detection. Comput. Vis. Image Underst. 210: 103242 (2021) - [j17]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) - [j16]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) - [c90]Yana Hasson, Gül Varol, Cordelia Schmid, Ivan Laptev:
Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos. 3DV 2021: 659-668 - [c89]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers. CVPR 2021: 9826-9836 - [c88]Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid:
Airbert: In-domain Pretraining for Vision-and-Language Navigation. ICCV 2021: 1614-1623 - [c87]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 - [c86]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. ICCV 2021: 7242-7252 - [c85]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. ICML 2021: 1430-1440 - [c84]Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev:
History Aware Multimodal Transformer for Vision-and-Language Navigation. NeurIPS 2021: 5834-5847 - [c83]Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
XCiT: Cross-Covariance Image Transformers. NeurIPS 2021: 20014-20027 - [c82]Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable rendering with perturbed optimizers. NeurIPS 2021: 20398-20409 - [i57]Alaaeldin El-Nouby, Natalia Neverova, Ivan Laptev, Hervé Jégou:
Training Vision Transformers for Image Retrieval. CoRR abs/2102.05644 (2021) - [i56]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers. CoRR abs/2103.16553 (2021) - [i55]Robin Strudel, Ricardo Garcia Pinel, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. CoRR abs/2105.05633 (2021) - [i54]Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
XCiT: Cross-Covariance Image Transformers. CoRR abs/2106.09681 (2021) - [i53]Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. CoRR abs/2107.00541 (2021) - [i52]Yana Hasson, Gül Varol, Ivan Laptev, Cordelia Schmid:
Towards unconstrained joint hand-object reconstruction from RGB videos. CoRR abs/2108.07044 (2021) - [i51]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) - [i50]Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys:
Reconstructing and grounding narrated instructional videos in 3D. CoRR abs/2109.04409 (2021) - [i49]Quentin Le Lidec, Ivan Laptev, Cordelia Schmid, Justin Carpentier:
Differentiable Rendering with Perturbed Optimizers. CoRR abs/2110.09107 (2021) - [i48]Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev:
History Aware Multimodal Transformer for Vision-and-Language Navigation. CoRR abs/2110.13309 (2021) - [i47]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. CoRR abs/2111.01591 (2021) - [i46]Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jégou, Edouard Grave:
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? CoRR abs/2112.10740 (2021) - 2020
- [j15]Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. 5(2): 3715-3722 (2020) - [c81]Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. CoRL 2020: 296-312 - [c80]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 - [c79]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 - [c78]Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen:
Action Modifiers: Learning From Adverbs in Instructional Videos. CVPR 2020: 865-875 - [c77]Anna Kukleva, Makarand Tapaswi, Ivan Laptev:
Learning Interactions and Relationships Between Movie Characters. CVPR 2020: 9846-9855 - [c76]Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman:
End-to-End Learning of Visual Representations From Uncurated Instructional Videos. CVPR 2020: 9876-9886 - [c75]Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic:
Learning Actionness via Long-Range Temporal Order Verification. ECCV (29) 2020: 470-487 - [c74]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 - [c73]Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. IROS 2020: 8073-8080 - [i45]Anna Kukleva, Makarand Tapaswi, Ivan Laptev:
Learning Interactions and Relationships between Movie Characters. CoRR abs/2003.13158 (2020) - [i44]Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. CoRR abs/2004.07950 (2020) - [i43]Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction. CoRR abs/2004.13449 (2020) - [i42]Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux:
Occlusion resistant learning of intuitive physics from videos. CoRR abs/2005.00069 (2020) - [i41]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:
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). CoRR abs/2008.00744 (2020) - [i40]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
RareAct: A video dataset of unusual interactions. CoRR abs/2008.01018 (2020) - [i39]Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRR abs/2008.11174 (2020) - [i38]Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. CoRR abs/2011.06813 (2020) - [i37]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. CoRR abs/2012.00451 (2020)
2010 – 2019
- 2019
- [c72]Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. CVPR 2019: 2288-2297 - [c71]Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran:
Leveraging the Present to Anticipate the Future in Videos. CVPR Workshops 2019: 2915-2922 - [c70]Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic:
Cross-Task Weakly Supervised Learning From Instructional Videos. CVPR 2019: 3537-3545 - [c69]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. CVPR 2019: 8640-8649 - [c68]Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning Joint Reconstruction of Hands and Manipulated Objects. CVPR 2019: 11807-11816 - [c67]Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Detecting Unseen Visual Relations Using Analogies. ICCV 2019: 1981-1990 - [c66]Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. ICCV 2019: 2630-2640 - [c65]Dmitry Nekhaev, Sergey Milyaev, Ivan Laptev:
Margin based knowledge distillation for mobile face recognition. ICMV 2019: 114330O - [c64]Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. IROS 2019: 2651-2657 - [i36]Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. CoRR abs/1903.07740 (2019) - [i35]Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic:
Cross-task weakly supervised learning from instructional videos. CoRR abs/1903.08225 (2019) - [i34]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video. CoRR abs/1904.02683 (2019) - [i33]Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning joint reconstruction of hands and manipulated objects. CoRR abs/1904.05767 (2019) - [i32]Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. CoRR abs/1904.09626 (2019) - [i31]Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR abs/1904.10348 (2019) - [i30]Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. CoRR abs/1906.03327 (2019) - [i29]Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Combining learned skills and reinforcement learning for robotic manipulations. CoRR abs/1908.00722 (2019) - [i28]