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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]Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. CoRR abs/1912.04070 (2019) - [i27]Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman:
End-to-End Learning of Visual Representations from Uncurated Instructional Videos. CoRR abs/1912.06430 (2019) - [i26]Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen:
Action Modifiers: Learning from Adverbs in Instructional Videos. CoRR abs/1912.06617 (2019) - 2018
- [j14]Gül Varol, Ivan Laptev, Cordelia Schmid:
Long-Term Temporal Convolutions for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1510-1517 (2018) - [j13]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Learning from Narrated Instruction Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2194-2208 (2018) - [c63]Nikolai Chinaev, Alexander Chigorin, Ivan Laptev:
MobileFace: 3D Face Reconstruction with Efficient CNN Regression. ECCV Workshops (4) 2018: 15-30 - [c62]Gül Varol, Duygu Ceylan, Bryan C. Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, Cordelia Schmid:
BodyNet: Volumetric Inference of 3D Human Body Shapes. ECCV (7) 2018: 20-38 - [c61]Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid:
A flexible model for training action localization with varying levels of supervision. NeurIPS 2018: 950-961 - [i25]Antoine Miech, Ivan Laptev, Josef Sivic:
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data. CoRR abs/1804.02516 (2018) - [i24]Gül Varol, Duygu Ceylan, Bryan C. Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, Cordelia Schmid:
BodyNet: Volumetric Inference of 3D Human Body Shapes. CoRR abs/1804.04875 (2018) - [i23]Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid:
Modeling Spatio-Temporal Human Track Structure for Action Localization. CoRR abs/1806.11008 (2018) - [i22]Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid:
A flexible model for training action localization with varying levels of supervision. CoRR abs/1806.11328 (2018) - [i21]Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg:
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. CoRR abs/1809.08381 (2018) - [i20]Nikolai Chinaev, Alexander Chigorin, Ivan Laptev:
MobileFace: 3D Face Reconstruction with Efficient CNN Regression. CoRR abs/1809.08809 (2018) - [i19]Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Tube-CNN: Modeling temporal evolution of appearance for object detection in video. CoRR abs/1812.02619 (2018) - [i18]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Detecting rare visual relations using analogies. CoRR abs/1812.05736 (2018) - 2017
- [j12]Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah:
The THUMOS challenge on action recognition for videos "in the wild". Comput. Vis. Image Underst. 155: 1-23 (2017) - [j11]Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille:
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [c60]Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CVPR 2017: 4627-4635 - [c59]Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Joint Discovery of Object States and Manipulation Actions. ICCV 2017: 2146-2155 - [c58]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-Supervised Learning of Visual Relations. ICCV 2017: 5189-5198 - [c57]Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic:
Learning from Video and Text via Large-Scale Discriminative Clustering. ICCV 2017: 5267-5276 - [p1]Mikel Rodriguez, Josef Sivic, Ivan Laptev:
The Analysis of High Density Crowds in Videos. Group and Crowd Behavior for Computer Vision 2017: 89-113 - [i17]Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CoRR abs/1701.01370 (2017) - [i16]Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Joint Discovery of Object States and Manipulating Actions. CoRR abs/1702.02738 (2017) - [i15]Antoine Miech, Ivan Laptev, Josef Sivic:
Learnable pooling with Context Gating for video classification. CoRR abs/1706.06905 (2017) - [i14]Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic:
Learning from Video and Text via Large-Scale Discriminative Clustering. CoRR abs/1707.09074 (2017) - [i13]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-supervised learning of visual relations. CoRR abs/1707.09472 (2017) - 2016
- [j10]Ivan Laptev, Deva Ramanan, Josef Sivic:
Guest Editorial: Video Recognition. Int. J. Comput. Vis. 119(3): 217-218 (2016) - [c56]Guillaume Seguin, Piotr Bojanowski, Rémi Lajugie, Ivan Laptev:
Instance-Level Video Segmentation from Object Tracks. CVPR 2016: 3678-3687 - [c55]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Unsupervised Learning from Narrated Instruction Videos. CVPR 2016: 4575-4583 - [c54]Suha Kwak, Minsu Cho, Ivan Laptev:
Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. CVPR 2016: 4938-4947 - [c53]Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev:
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. ECCV (5) 2016: 350-365 - [c52]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. ECCV (1) 2016: 510-526 - [c51]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. HCOMP 2016: 219-228 - [i12]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. CoRR abs/1604.01753 (2016) - [i11]Gül Varol, Ivan Laptev, Cordelia Schmid:
Long-term Temporal Convolutions for Action Recognition. CoRR abs/1604.04494 (2016) - [i10]Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah:
The THUMOS Challenge on Action Recognition for Videos "in the Wild". CoRR abs/1604.06182 (2016) - [i9]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. CoRR abs/1607.07429 (2016) - [i8]Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev:
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. CoRR abs/1609.04331 (2016) - 2015
- [j9]Guillaume Seguin, Karteek Alahari, Josef Sivic, Ivan Laptev:
Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1643-1655 (2015) - [c50]Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic:
Is object localization for free? - Weakly-supervised learning with convolutional neural networks. CVPR 2015: 685-694 - [c49]Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic:
On pairwise costs for network flow multi-object tracking. CVPR 2015: 5537-5545 - [c48]Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Context-Aware CNNs for Person Head Detection. ICCV 2015: 2893-2901 - [c47]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. ICCV 2015: 3173-3181 - [c46]Guilhem Chéron, Ivan Laptev, Cordelia Schmid:
P-CNN: Pose-Based CNN Features for Action Recognition. ICCV 2015: 3218-3226 - [c45]Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video with Text. ICCV 2015: 4462-4470 - [c44]Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in images and videos. URAI 2015: 292-293 - [i7]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. CoRR abs/1505.03825 (2015) - [i6]Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video With Text. CoRR abs/1505.06027 (2015) - [i5]Guilhem Chéron, Ivan Laptev, Cordelia Schmid:
P-CNN: Pose-based CNN Features for Action Recognition. CoRR abs/1506.03607 (2015) - [i4]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Learning from narrated instruction videos. CoRR abs/1506.09215 (2015) - [i3]Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Context-aware CNNs for person head detection. CoRR abs/1511.07917 (2015) - 2014
- [j8]David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic:
People Watching: Human Actions as a Cue for Single View Geometry. Int. J. Comput. Vis. 110(3): 259-274 (2014) - [c43]Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic:
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. CVPR 2014: 1717-1724 - [c42]Vadim Kantorov, Ivan Laptev:
Efficient Feature Extraction, Encoding, and Classification for Action Recognition. CVPR 2014: 2593-2600 - [c41]Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic:
Predicting Actions from Static Scenes. ECCV (5) 2014: 421-436 - [c40]Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos under Ordering Constraints. ECCV (5) 2014: 628-643 - [i2]Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos Under Ordering Constraints. CoRR abs/1407.1208 (2014) - [i1]Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic:
On Pairwise Cost for Multi-Object Network Flow Tracking. CoRR abs/1408.3304 (2014) - 2013
- [b2]Ivan Laptev:
Modeling and visual recognition of human actions and interactions. École Normale Supérieure, Paris, France, 2013 - [c39]Karteek Alahari, Guillaume Seguin, Josef Sivic, Ivan Laptev:
Pose Estimation and Segmentation of People in 3D Movies. ICCV 2013: 2112-2119 - [c38]Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Finding Actors and Actions in Movies. ICCV 2013: 2280-2287 - 2012
- [c37]Vincent Delaitre, David F. Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, Alexei A. Efros:
Scene Semantics from Long-Term Observation of People. ECCV (6) 2012: 284-298 - [c36]David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic:
People Watching: Human Actions as a Cue for Single View Geometry. ECCV (5) 2012: 732-745 - [c35]Hossein Azizpour, Ivan Laptev:
Object Detection Using Strongly-Supervised Deformable Part Models. ECCV (1) 2012: 836-849 - [c34]Muhammad Muneeb Ullah, Ivan Laptev:
Actlets: A novel local representation for human action recognition in video. ICIP 2012: 777-780 - 2011
- [j7]Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez:
View-Independent Action Recognition from Temporal Self-Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 172-185 (2011) - [c33]José Lezama, Karteek Alahari, Josef Sivic, Ivan Laptev:
Track to the future: Spatio-temporal video segmentation with long-range motion cues. CVPR 2011: 3369-3376 - [c32]Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yves Audibert:
Data-driven crowd analysis in videos. ICCV 2011: 1235-1242 - [c31]Mikel Rodriguez, Ivan Laptev, Josef Sivic, Jean-Yves Audibert:
Density-aware person detection and tracking in crowds. ICCV 2011: 2423-2430 - [c30]Kumar Raja, Ivan Laptev, Patrick Pérez, Lionel Oisel:
Joint pose estimation and action recognition in image graphs. ICIP 2011: 25-28 - [c29]Vincent Delaitre, Josef Sivic, Ivan Laptev:
Learning person-object interactions for action recognition in still images. NIPS 2011: 1503-1511 - 2010
- [c28]Vincent Delaitre, Ivan Laptev, Josef Sivic:
Recognizing human actions in still images: a study of bag-of-features and part-based representations. BMVC 2010: 1-11 - [c27]Muhammad Muneeb Ullah, Sobhan Naderi Parizi, Ivan Laptev:
Improving bag-of-features action recognition with non-local cues. BMVC 2010: 1-11 - [c26]Neva Cherniavsky, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Semi-supervised Learning of Facial Attributes in Video. ECCV Workshops (1) 2010: 43-56 - [c25]Ivan Laptev:
Recognizing Human Action in the Wild. HBU 2010: 87 - [c24]Rachid Benmokhtar, Ivan Laptev:
INRIA-WILLOW at TRECVID 2010 : Surveillance Event Detection. TRECVID 2010
2000 – 2009
- 2009
- [j6]Ivan Laptev:
Improving object detection with boosted histograms. Image Vis. Comput. 27(5): 535-544 (2009) - [c23]Emilie Dexter, Patrick Pérez, Ivan Laptev:
Multi-view Synchronization of Human Actions and Dynamic Scenes. BMVC 2009: 1-11 - [c22]Heng Wang, Muhammad Muneeb Ullah, Alexander Kläser, Ivan Laptev, Cordelia Schmid:
Evaluation of Local Spatio-temporal Features for Action Recognition. BMVC 2009: 1-11 - [c21]Marcin Marszalek, Ivan Laptev, Cordelia Schmid:
Actions in context. CVPR 2009: 2929-2936 - [c20]Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakoli Targhi:
Modeling Image Context Using Object Centered Grid. DICTA 2009: 476-483 - [c19]Olivier Duchenne, Ivan Laptev, Josef Sivic, Francis R. Bach, Jean Ponce:
Automatic annotation of human actions in video. ICCV 2009: 1491-1498 - [c18]Emilie Dexter, Patrick Pérez, Ivan Laptev, Imran N. Junejo:
View-independent Video Synchronization from Temporal Self-similarities. VISAPP (2) 2009: 383-391 - 2008
- [c17]Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Benjamin Rozenfeld:
Learning realistic human actions from movies. CVPR 2008 - [c16]Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez:
Cross-View Action Recognition from Temporal Self-similarities. ECCV (2) 2008: 293-306 - 2007
- [j5]Ivan Laptev, Barbara Caputo, Christian Schüldt, Tony Lindeberg:
Local velocity-adapted motion events for spatio-temporal recognition. Comput. Vis. Image Underst. 108(3): 207-229 (2007) - [c15]Julien Law-To, Li Chen, Alexis Joly, Ivan Laptev, Olivier Buisson, Valérie Gouet-Brunet, Nozha Boujemaa, Fred Stentiford:
Video copy detection: a comparative study. CIVR 2007: 371-378 - [c14]Ivan Laptev, Patrick Pérez:
Retrieving actions in movies. ICCV 2007: 1-8 - 2006
- [c13]Ivan Laptev:
Improvements of Object Detection Using Boosted Histograms. BMVC 2006: 949-958 - 2005
- [j4]Ivan Laptev:
On Space-Time Interest Points. Int. J. Comput. Vis. 64(2-3): 107-123 (2005) - [c12]Ivan Laptev, Serge J. Belongie, Patrick Pérez, Josh Wills:
Periodic Motion Detection and Segmentation via Approximate Sequence Alignment. ICCV 2005: 816-823 - 2004
- [b1]Ivan Laptev:
Local spatio-temporal image features for motion interpretation. Royal Institute of Technology, Stockholm, Sweden, 2004 - [j3]Ivan Laptev, Tony Lindeberg:
Velocity adaptation of spatio-temporal receptive fields for direct recognition of activities: an experimental study. Image Vis. Comput. 22(2): 105-116 (2004) - [c11]Christian Schüldt, Ivan Laptev, Barbara Caputo:
Recognizing Human Actions: A Local SVM Approach. ICPR (3) 2004: 32-36 - [c10]Ivan Laptev, Tony Lindeberg:
Velocity Adaptation of Space-Time Interest Points. ICPR (1) 2004: 52-56 - [c9]Tony Lindeberg, Amir Akbarzadeh, Ivan Laptev:
Galilean-Diagonalized Spatio-Temporal Interest Operators. ICPR (1) 2004: 57-62 - [c8]Ivan Laptev, Tony Lindeberg:
Local Descriptors for Spatio-temporal Recognition. SCVMA 2004: 91-103 - 2003
- [j2]Ivan Laptev, Tony Lindeberg:
A Distance Measure and a Feature Likelihood Map Concept for Scale-Invariant Model Matching. Int. J. Comput. Vis. 52(2-3): 97-120 (2003) - [c7]Ivan Laptev, Tony Lindeberg:
Space-time Interest Points. ICCV 2003: 432-439 - [c6]Ivan Laptev, Tony Lindeberg:
Interest Point Detection and Scale Selection in Space-Time. Scale-Space 2003: 372-387 - 2002
- [c5]Lars Bretzner, Ivan Laptev, Tony Lindeberg:
Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering. FGR 2002: 423-428 - 2001
- [c4]Ivan Laptev, Tony Lindeberg:
Tracking of Multi-state Hand Models Using Particle Filtering and a Hierarchy of Multi-scale Image Features. Scale-Space 2001: 63-74 - [c3]Ivan Laptev, Tony Lindeberg:
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses. Scale-Space 2001: 98-110 - 2000
- [j1]Ivan Laptev, Helmut Mayer, Tony Lindeberg, Wolfgang Eckstein, Carsten Steger, Albert Baumgartner:
Automatic extraction of roads from aerial images based on scale space and snakes. Mach. Vis. Appl. 12(1): 23-31 (2000)
1990 – 1999
- 1998
- [c2]Helmut Mayer, Ivan Laptev, Albert Baumgartner:
Multi-scale and Snakes for Automatic Road Extraction. ECCV (1) 1998: 720-733 - [c1]Michael Klupsch, Maximilian Lückenhaus, Christoph Zierl, Ivan Laptev, Thorsten Bandlow, Marc Grimme, Ignaz Kellerer, Fabian Schwarzer:
Agilo RoboCuppers: RoboCup Team Description. RoboCup 1998: 446-451
Coauthor Index
[j21] [c108] [i87] [i86] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [i82] [i81] [i80] [i79] [i78] [i77] [i76] [i75] [c98] [c96] [c95] [c94] [c93] [c92] [c91] [i73] [i72] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i58] [j17] [j16] [c90] [c88] [c87] [c86] [c85] [c84] [c82] [i55] [i53] [i52] [i51] [i49] [i48] [c80] [c79] [c74] [c73] [i44] [i43] [i41] [i39] [i37] [c68] [c67] [c64] [i36] [i33] [i29] [i28] [j14] [c62] [c61] [i24] [i23] [i22] [i18] [c60] [c58] [i17] [i13] [i11] [c47] [c46] [c45] [c44] [i7] [i6] [i5] [c40] [i2] [c38] [c22] [c21] [c17]
[j22] [c109] [c105] [c99] [i82] [i76] [i74] [j19] [c97] [c96] [c91] [i71] [i70] [i68] [i67] [i60] [c89] [c87] [i56] [i50] [i47] [j15] [c81] [c76] [c75] [c74] [i42] [i40] [i38] [i37] [c71] [c70] [c69] [c67] [c66] [i35] [i34] [i31] [i30] [i29] [i27] [j13] [i25] [i18] [c59] [c58] [c57] [p1] [i16] [i15] [i14] [i13] [j10] [c55] [j9] [c50] [c49] [i4] [j8] [c43] [c41] [c40] [i2] [i1] [c39] [c38] [c37] [c36] [c33] [c32] [c31] [c29] [c28] [c26] [c19]
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