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2020 – today
- 2024
[j36]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)- [j35]Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier:
GJK++: Leveraging Acceleration Methods for Faster Collision Detection. IEEE Trans. Robotics 40: 2564-2581 (2024) - [c103]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 - [c102]Anton Bushuiev, Roman Bushuiev, Petr Kouba, Anatolii Filkin, Marketa Gabrielova, Michal Gabriel, Jirí Sedlár, Tomás Pluskal, Jirí Damborský, Stanislav Mazurenko, Josef Sivic:
Learning to design protein-protein interactions with enhanced generalization. ICLR 2024 - [i69]Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR abs/2401.09413 (2024) - [i68]Anton Bushuiev, Roman Bushuiev, Jirí Sedlár, Tomás Pluskal, Jirí Damborský, Stanislav Mazurenko, Josef Sivic:
Revealing data leakage in protein interaction benchmarks. CoRR abs/2404.10457 (2024) - 2023
- [j34]Jirí Sedlár, Karla Stépánová, Radoslav Skoviera, Jan Kristof Behrens, Matús Tuna, Gabriela Sejnova, Josef Sivic, Robert Babuska:
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. IEEE Robotics Autom. Lett. 8(5): 2788-2795 (2023) - [c101]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 - [c100]Daniel McKee, Justin Salamon, Josef Sivic, Bryan C. Russell:
Language-Guided Music Recommendation for Video via Prompt Analogies. CVPR 2023: 14784-14793 - [c99]Chun-Hsiao Yeh, Bryan C. Russell, Josef Sivic, Fabian Caba Heilbron, Simon Jenni:
Meta-Personalizing Vision-Language Models to Find Named Instances in Video. CVPR 2023: 19123-19132 - [c98]Louis Montaut, Quentin Le Lidec, Antoine Bambade, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Differentiable Collision Detection: a Randomized Smoothing Approach. ICRA 2023: 3240-3246 - [c97]Kateryna Zorina, David Kovár, Florent Lamiraux, Nicolas Mansard, Justin Carpentier, Josef Sivic, Vladimír Petrík:
Multi-Contact Task and Motion Planning Guided by Video Demonstration. ICRA 2023: 3764-3770 - [c96]Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS 2023 - [c95]Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. NeurIPS 2023 - [d1]Daniel McKee, Justin Salamon, Josef Sivic, Bryan Russell:
YouTube8M-MusicTextClips. Zenodo, 2023
- [i67]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) - [i66]Daniel McKee, Justin Salamon, Josef Sivic, Bryan C. Russell:
Language-Guided Music Recommendation for Video via Prompt Analogies. CoRR abs/2306.09327 (2023) - [i65]Chun-Hsiao Yeh, Bryan C. Russell, Josef Sivic, Fabian Caba Heilbron, Simon Jenni:
Meta-Personalizing Vision-Language Models to Find Named Instances in Video. CoRR abs/2306.10169 (2023) - [i64]Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. CoRR abs/2309.13952 (2023) - [i63]Anton Bushuiev, Roman Bushuiev, Anatolii Filkin, Petr Kouba, Marketa Gabrielova, Michal Gabriel, Jirí Sedlár, Tomás Pluskal, Jirí Damborský, Stanislav Mazurenko, Josef Sivic:
Learning to design protein-protein interactions with enhanced generalization. CoRR abs/2310.18515 (2023) - [i62]Mederic Fourmy, Vojtech Priban, Jan Kristof Behrens, Nicolas Mansard, Josef Sivic, Vladimír Petrík:
Visually Guided Model Predictive Robot Control via 6D Object Pose Localization and Tracking. CoRR abs/2311.05344 (2023) - [i61]Martin Cífka, Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Vladimír Petrík, Josef Sivic:
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2312.02985 (2023) - [i60]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023) - [i59]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
- [j33]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) - [j32]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1020-1034 (2022) - [j31]Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler:
Long-Term Visual Localization Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2074-2088 (2022) - [j30]Kateryna Zorina, Justin Carpentier, Josef Sivic, Vladimír Petrík:
Learning to Manipulate Tools by Aligning Simulation to Video Demonstration. IEEE Robotics Autom. Lett. 7(1): 438-445 (2022) - [c94]Hugo Cisneros, Tomás Mikolov, Josef Sivic:
Benchmarking Learning Efficiency in Deep Reservoir Computing. CoLLAs 2022: 532-547 - [c93]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL 2022: 715-725 - [c92]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CVPR 2022: 3815-3824 - [c91]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 - [c90]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CVPR 2022: 16421-16432 - [c89]Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. ECCV (38) 2022: 478-495 - [c88]Vladimír Petrík, Mohammad Nomaan Qureshi, Josef Sivic, Makarand Tapaswi:
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics. IROS 2022: 7375-7382 - [c87]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. NeurIPS 2022 - [c86]Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Collision Detection Accelerated: An Optimization Perspective. Robotics: Science and Systems 2022 - [i58]Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation. CoRR abs/2203.11160 (2022) - [i57]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) - [i56]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CoRR abs/2203.16434 (2022) - [i55]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2204.05145 (2022) - [i54]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Learning to Answer Visual Questions from Web Videos. CoRR abs/2205.05019 (2022) - [i53]Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Collision Detection Accelerated: An Optimization Perspective. CoRR abs/2205.09663 (2022) - [i52]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) - [i51]Vladimír Petrík, Mohammad Nomaan Qureshi, Josef Sivic, Makarand Tapaswi:
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics. CoRR abs/2208.01960 (2022) - [i50]Jirí Sedlár, Karla Stépánová, Matús Tuna, Radoslav Skoviera, Jan Kristof Behrens, Gabriela Sejnova, Josef Sivic, Robert Babuska:
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. CoRR abs/2209.07976 (2022) - [i49]Louis Montaut, Quentin Le Lidec, Antoine Bambade, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Differentiable Collision Detection: a Randomized Smoothing Approach. CoRR abs/2209.09012 (2022) - [i48]Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Benchmarking Learning Efficiency in Deep Reservoir Computing. CoRR abs/2210.02549 (2022) - [i47]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) - [i46]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR abs/2212.06870 (2022) - 2021
- [j29]Akihiko Torii, Hajime Taira, Josef Sivic, Marc Pollefeys, Masatoshi Okutomi, Tomás Pajdla, Torsten Sattler:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 814-829 (2021) - [j28]Théophile Dalens, Mathieu Aubry, Josef Sivic:
Bilinear Image Translation for Temporal Analysis of Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1197-1212 (2021) - [j27]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1293-1307 (2021) - [c85]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. AAAI 2021: 2692-2700 - [c84]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-View Robot Pose and Joint Angle Estimation via Render & Compare. CVPR 2021: 1654-1663 - [c83]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 - [c82]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 - [c81]Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. ICCV 2021: 1825-1835 - [c80]Jaroslav Macke, Jirí Sedlár, Miroslav Olsák, Josef Urban, Josef Sivic:
Learning to Solve Geometric Construction Problems from Images. CICM 2021: 167-184 - [i45]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) - [i44]Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Visualizing computation in large-scale cellular automata. CoRR abs/2104.01008 (2021) - [i43]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-view robot pose and joint angle estimation via render & compare. CoRR abs/2104.09359 (2021) - [i42]Jaroslav Macke, Jirí Sedlár, Miroslav Olsák, Josef Urban, Josef Sivic:
Learning to solve geometric construction problems from images. CoRR abs/2106.14195 (2021) - [i41]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) - [i40]Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. CoRR abs/2110.03562 (2021) - [i39]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) - [i38]Kateryna Zorina, Justin Carpentier, Josef Sivic, Vladimír Petrík:
Learning to Manipulate Tools by Aligning Simulation to Video Demonstration. CoRR abs/2111.03088 (2021) - 2020
- [j26]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) - [c79]Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. CoRL 2020: 296-312 - [c78]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 - [c77]Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic:
Learning Actionness via Long-Range Temporal Order Verification. ECCV (29) 2020: 470-487 - [c76]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. ECCV (17) 2020: 574-591 - [c75]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. ECCV (9) 2020: 605-621 - [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]Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Visualizing computation in large-scale cellular automata. ALIFE 2020: 239-247 - [i37]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. CoRR abs/2004.10566 (2020) - [i36]Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux:
Occlusion resistant learning of intuitive physics from videos. CoRR abs/2005.00069 (2020) - [i35]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
RareAct: A video dataset of unusual interactions. CoRR abs/2008.01018 (2020) - [i34]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent multi-view multi-object 6D pose estimation. CoRR abs/2008.08465 (2020) - [i33]Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. CoRR abs/2011.06813 (2020) - [i32]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) - [i31]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. CoRR abs/2012.08274 (2020)
2010 – 2019
- 2019
- [j25]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2553-2567 (2019) - [c72]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 - [c71]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 - [c70]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019: 8092-8101 - [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]Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Detecting Unseen Visual Relations Using Analogies. ICCV 2019: 1981-1990 - [c67]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 - [c66]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. ICCV 2019: 4372-4382 - [c65]Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Evolving Structures in Complex Systems. SSCI 2019: 230-237 - [i30]Radoslav Skoviera, Karla Stépánová, Michael Tesar, Gabriela Sejnova, Jirí Sedlár, Michal Vavrecka, Robert Babuska, Josef Sivic:
Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges? CoRR abs/1901.08335 (2019) - [i29]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) - [i28]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) - [i27]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) - [i26]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. CoRR abs/1905.03561 (2019) - [i25]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) - [i24]Victor Escorcia, Mattia Soldan, Josef Sivic, Bernard Ghanem, Bryan C. Russell:
Temporal Localization of Moments in Video Collections with Natural Language. CoRR abs/1907.12763 (2019) - [i23]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) - [i22]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. CoRR abs/1908.04598 (2019) - [i21]Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Evolving Structures in Complex Systems. CoRR abs/1911.01086 (2019) - [i20]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) - 2018
- [j24]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 Place Recognition by View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 257-271 (2018) - [j23]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1437-1451 (2018) - [j22]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) - [c64]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-End Weakly-Supervised Semantic Alignment. CVPR 2018: 6917-6925 - [c63]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization With Dense Matching and View Synthesis. CVPR 2018: 7199-7209 - [c62]Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla:
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR 2018: 8601-8610 - [c61]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. EMNLP 2018: 1380-1390 - [c60]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. NeurIPS 2018: 1658-1669 - [i19]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. CoRR abs/1803.10368 (2018) - [i18]Antoine Miech, Ivan Laptev, Josef Sivic:
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data. CoRR abs/1804.02516 (2018) - [i17]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. CoRR abs/1809.01337 (2018) - [i16]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. CoRR abs/1810.10510 (2018) - [i15]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Detecting rare visual relations using analogies. CoRR abs/1812.05736 (2018) - 2017
- [j21]Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal:
Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. 125(1-3): 1-2 (2017) - [c59]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. CVPR 2017: 39-48 - [c58]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. CVPR 2017: 3165-3174 - [c57]Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomás Pajdla:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? CVPR 2017: 6175-6184 - [c56]Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Joint Discovery of Object States and Manipulation Actions. ICCV 2017: 2146-2155 - [c55]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-Supervised Learning of Visual Relations. ICCV 2017: 5189-5198 - [c54]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 - [c53]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Natural Language. ICCV 2017: 5804-5813 - [p3]Mikel Rodriguez, Josef Sivic, Ivan Laptev:
The Analysis of High Density Crowds in Videos. Group and Crowd Behavior for Computer Vision 2017: 89-113 - [i14]Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Joint Discovery of Object States and Manipulating Actions. CoRR abs/1702.02738 (2017) - [i13]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional neural network architecture for geometric matching. CoRR abs/1703.05593 (2017) - [i12]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning spatio-temporal aggregation for action classification. CoRR abs/1704.02895 (2017) - [i11]Antoine Miech, Ivan Laptev, Josef Sivic:
Learnable pooling with Context Gating for video classification. CoRR abs/1706.06905 (2017) - [i10]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) - [i9]Torsten Sattler, Will Maddern, Akihiko Torii, Josef Sivic, Tomás Pajdla, Marc Pollefeys, Masatoshi Okutomi:
Benchmarking 6DOF Urban Visual Localization in Changing Conditions. CoRR abs/1707.09092 (2017) - [i8]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-supervised learning of visual relations. CoRR abs/1707.09472 (2017) - [i7]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Natural Language. CoRR abs/1708.01641 (2017) - [i6]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-end weakly-supervised semantic alignment. CoRR abs/1712.06861 (2017) - 2016
- [j20]Riad I. Hammoud, Josef Sivic, Larry S. Davis, Marc Pollefeys:
Guest Editorial: Large Scale Visual Media Geo-Localization. Int. J. Comput. Vis. 116(3): 211-212 (2016) - [j19]Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. Int. J. Comput. Vis. 118(3): 319-336 (2016) - [j18]Ivan Laptev, Deva Ramanan, Josef Sivic:
Guest Editorial: Video Recognition. Int. J. Comput. Vis. 119(3): 217-218 (2016) - [c52]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Unsupervised Learning from Narrated Instruction Videos. CVPR 2016: 4575-4583 - [c51]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. CVPR 2016: 5297-5307 - [p2]Mathieu Aubry, Bryan C. Russell, Josef Sivic:
Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment. Large-Scale Visual Geo-Localization 2016: 255-275 - 2015
- [j17]Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros:
What makes Paris look like Paris? Commun. ACM 58(12): 103-110 (2015) - [j16]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) - [j15]Akihiko Torii, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
Visual Place Recognition with Repetitive Structures. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2346-2359 (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]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 place recognition by view synthesis. CVPR 2015: 1808-1817 - [c48]Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic:
On pairwise costs for network flow multi-object tracking. CVPR 2015: 5537-5545 - [c47]Stefan Lee, Nicolas Maisonneuve, David J. Crandall, Alexei A. Efros, Josef Sivic:
Linking Past to Present: Discovering Style in Two Centuries of Architecture. ICCP 2015: 1-10 - [i5]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Learning from narrated instruction videos. CoRR abs/1506.09215 (2015) - [i4]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN architecture for weakly supervised place recognition. CoRR abs/1511.07247 (2015) - 2014
- [b2]Josef Sivic:
Visual search and recognition of objects, scenes and people. École Normale Supérieure, Paris, France, 2014 - [j14]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Deblurring Shaken and Partially Saturated Images. Int. J. Comput. Vis. 110(2): 185-201 (2014) - [j13]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) - [j12]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. Inf. Media Technol. 9(3): 351-355 (2014) - [j11]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. IPSJ Trans. Comput. Vis. Appl. 6: 58-62 (2014) - [j10]Mathieu Aubry, Bryan C. Russell, Josef Sivic:
Painting-to-3D model alignment via discriminative visual elements. ACM Trans. Graph. 33(2): 14:1-14:14 (2014) - [c46]Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic:
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. CVPR 2014: 1717-1724 - [c45]Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, Josef Sivic:
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR 2014: 3762-3769 - [c44]Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic:
Predicting Actions from Static Scenes. ECCV (5) 2014: 421-436 - [c43]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 - [p1]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Efficient, blind, spatially-variant deblurring for shaken images. Motion Deblurring 2014: 75-99 - [i3]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) - [i2]Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic:
On Pairwise Cost for Multi-Object Network Flow Tracking. CoRR abs/1408.3304 (2014) - [i1]Josef Sivic, Alexei A. Efros:
Urban-Scale Quantitative Visual Analysis. ERCIM News 2014(98) (2014) - 2013
- [c42]Akihiko Torii, Josef Sivic, Tomás Pajdla, Masatoshi Okutomi:
Visual Place Recognition with Repetitive Structures. CVPR 2013: 883-890 - [c41]Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR 2013: 907-914 - [c40]Karteek Alahari, Guillaume Seguin, Josef Sivic, Ivan Laptev:
Pose Estimation and Segmentation of People in 3D Movies. ICCV 2013: 2112-2119 - [c39]Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Finding Actors and Actions in Movies. ICCV 2013: 2280-2287 - 2012
- [j9]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Non-uniform Deblurring for Shaken Images. Int. J. Comput. Vis. 98(2): 168-186 (2012) - [j8]Andrew Zisserman, John M. Winn, Andrew W. Fitzgibbon, Luc Van Gool, Josef Sivic, Christopher K. I. Williams, David C. Hogg:
In Memoriam: Mark Everingham. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2081-2082 (2012) - [j7]Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros:
What makes Paris look like Paris? ACM Trans. Graph. 31(4): 101:1-101:9 (2012) - [c38]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 - [c37]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 - 2011
- [j6]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets. Int. J. Comput. Vis. 95(2): 138-153 (2011) - [c36]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 - [c35]Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yves Audibert:
Data-driven crowd analysis in videos. ICCV 2011: 1235-1242 - [c34]Mikel Rodriguez, Ivan Laptev, Josef Sivic, Jean-Yves Audibert:
Density-aware person detection and tracking in crowds. ICCV 2011: 2423-2430 - [c33]Akihiko Torii, Josef Sivic, Tomás Pajdla:
Visual localization by linear combination of image descriptors. ICCV Workshops 2011: 102-109 - [c32]Bryan C. Russell, Josef Sivic, Jean Ponce, Helene Dessales:
Automatic alignment of paintings and photographs depicting a 3D scene. ICCV Workshops 2011: 545-552 - [c31]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Deblurring shaken and partially saturated images. ICCV Workshops 2011: 745-752 - [c30]Vincent Delaitre, Josef Sivic, Ivan Laptev:
Learning person-object interactions for action recognition in still images. NIPS 2011: 1503-1511 - 2010
- [j5]Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan, William T. Freeman:
Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space. Proc. IEEE 98(8): 1391-1407 (2010) - [c29]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 - [c28]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Non-uniform deblurring for shaken images. CVPR 2010: 491-498 - [c27]Neva Cherniavsky, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Semi-supervised Learning of Facial Attributes in Video. ECCV Workshops (1) 2010: 43-56 - [c26]James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman:
Descriptor Learning for Efficient Retrieval. ECCV (3) 2010: 677-691 - [c25]Jan Knopp, Josef Sivic, Tomás Pajdla:
Avoiding Confusing Features in Place Recognition. ECCV (1) 2010: 748-761
2000 – 2009
- 2009
- [j4]Mark Everingham, Josef Sivic, Andrew Zisserman:
Taking the bite out of automated naming of characters in TV video. Image Vis. Comput. 27(5): 545-559 (2009) - [j3]Josef Sivic, Andrew Zisserman:
Efficient Visual Search of Videos Cast as Text Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 591-606 (2009) - [c24]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Get Out of my Picture! Internet-based Inpainting. BMVC 2009: 1-11 - [c23]Josef Sivic, Mark Everingham, Andrew Zisserman:
"Who are you?" - Learning person specific classifiers from video. CVPR 2009: 1145-1152 - [c22]Olivier Duchenne, Ivan Laptev, Josef Sivic, Francis R. Bach, Jean Ponce:
Automatic annotation of human actions in video. ICCV 2009: 1491-1498 - [c21]Bryan C. Russell, Alexei A. Efros, Josef Sivic, Bill Freeman, Andrew Zisserman:
Segmenting Scenes by Matching Image Composites. NIPS 2009: 1580-1588 - 2008
- [j2]Josef Sivic, Andrew Zisserman:
Efficient Visual Search for Objects in Videos. Proc. IEEE 96(4): 548-566 (2008) - [c20]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric LDA: A Generative Model for Particular Object Discovery. BMVC 2008: 1-10 - [c19]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR 2008 - [c18]Josef Sivic, Biliana Kaneva, Antonio Torralba, Shai Avidan, William T. Freeman:
Creating and exploring a large photorealistic virtual space. CVPR Workshops 2008: 1-8 - [c17]Josef Sivic, Bryan C. Russell, Andrew Zisserman, William T. Freeman, Alexei A. Efros:
Unsupervised discovery of visual object class hierarchies. CVPR 2008 - [c16]Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman:
SIFT Flow: Dense Correspondence across Different Scenes. ECCV (3) 2008: 28-42 - 2007
- [c15]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Object retrieval with large vocabularies and fast spatial matching. CVPR 2007 - [c14]Ondrej Chum, James Philbin, Josef Sivic, Michael Isard, Andrew Zisserman:
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. ICCV 2007: 1-8 - [c13]James Philbin, Ondrej Chum, Josef Sivic, Vittorio Ferrari, Manuel J. Marín-Jiménez, Anna Bosch, Nicholas Apostolof, Andrew Zisserman:
Oxford TRECVid 2007 \u2013 Notebook paper. TRECVID 2007 - 2006
- [b1]Josef Sivic:
Efficient visual search of images videos. University of Oxford, UK, 2006 - [j1]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Object Level Grouping for Video Shots. Int. J. Comput. Vis. 67(2): 189-210 (2006) - [c12]Mark Everingham, Josef Sivic, Andrew Zisserman:
Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video. BMVC 2006: 899-908 - [c11]Josef Sivic, C. Lawrence Zitnick, Richard Szeliski:
Finding People in Repeated Shots of the Same Scene. BMVC 2006: 909-918 - [c10]Josef Sivic, Andrew Zisserman:
Video Google: Efficient Visual Search of Videos. Toward Category-Level Object Recognition 2006: 127-144 - [c9]Bryan C. Russell, William T. Freeman, Alexei A. Efros, Josef Sivic, Andrew Zisserman:
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections. CVPR (2) 2006: 1605-1614 - [c8]James Philbin, Anna Bosch, Ondrej Chum, Jan-Mark Geusebroek, Josef Sivic, Andrew Zisserman:
Oxford TRECVID 2006 - Notebook paper. TRECVID 2006 - 2005
- [c7]Josef Sivic, Mark Everingham, Andrew Zisserman:
Person Spotting: Video Shot Retrieval for Face Sets. CIVR 2005: 226-236 - [c6]Josef Sivic, Bryan C. Russell, Alexei A. Efros, Andrew Zisserman, William T. Freeman:
Discovering Objects and their Localization in Images. ICCV 2005: 370-377 - 2004
- [c5]Josef Sivic, Andrew Zisserman:
Video Data Mining Using Configurations of Viewpoint Invariant Regions. CVPR (1) 2004: 488-495 - [c4]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Object Level Grouping for Video Shots. ECCV (2) 2004: 85-98 - [c3]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Efficient object retrieval from videos. EUSIPCO 2004: 1737-1740 - [c2]Josef Sivic, Andrew Zisserman:
Efficient Visual Content Retrieval and Mining in Videos. PCM (2) 2004: 471-478 - 2003
- [c1]Josef Sivic, Andrew Zisserman:
Video Google: A Text Retrieval Approach to Object Matching in Videos. ICCV 2003: 1470-1477
Coauthor Index
[j36] [c103] [c101] [c95] [i67] [i64] [i59] [j33] [c91] [c90] [c87] [i57] [i56] [i54] [i52] [i47] [c83] [c82] [i45] [i41] [i39] [j26] [c79] [c78] [c77] [c74] [i36] [i35] [i33] [i32] [c72] [c71] [c69] [c68] [c67] [i29] [i28] [i27] [i25] [i23] [i20] [j22] [i18] [i15] [c56] [c55] [c54] [p3] [i14] [i11] [i10] [i8] [j18] [c52] [j16] [c50] [c48] [i5] [j13] [c46] [c44] [c43] [i3] [i2] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c30] [c29] [c27] [c22]
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