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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 - [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]