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2020 – today
- 2021
[i97]Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. CoRR abs/2101.02337 (2021)- 2020
- [j49]Grégory Rogez, Philippe Weinzaepfel
, Cordelia Schmid:
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1146-1161 (2020) - [c196]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 - [c195]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. CVPR 2020: 10314-10323 - [c194]Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. CVPR 2020: 11522-11530 - [c193]Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. ECCV (7) 2020: 125-141 - [c192]Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. ECCV (4) 2020: 214-229 - [c191]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. ECCV (10) 2020: 286-302 - [c190]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) 2020: 404-421 - [c189]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) 2020: 436-454 - [c188]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) 2020: 699-715 - [c187]Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. ECCV (10) 2020: 751-768 - [c186]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. ECCV (10) 2020: 769-786 - [c185]Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
Ava Active Speaker: An Audio-Visual Dataset for Active Speaker Detection. ICASSP 2020: 4492-4496 - [c184]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. ICML 2020: 8326-8335 - [c183]Robin A. M. 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 - [c182]Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What Makes for Good Views for Contrastive Learning? NeurIPS 2020 - [i96]Tonmoy Saikia, Thomas Brox, Cordelia Schmid:
Optimized Generic Feature Learning for Few-shot Classification across Domains. CoRR abs/2001.07926 (2020) - [i95]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. CoRR abs/2002.00937 (2020) - [i94]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. CoRR abs/2003.05614 (2020) - [i93]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Universal Representation for Few-shot Classification. CoRR abs/2003.09338 (2020) - [i92]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-modal Supervision for Action Recognition. CoRR abs/2003.13594 (2020) - [i91]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. CoRR abs/2004.00713 (2020) - [i90]Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. CoRR abs/2004.07950 (2020) - [i89]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) - [i88]Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. CoRR abs/2005.04259 (2020) - [i87]Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What makes for good views for contrastive learning. CoRR abs/2005.10243 (2020) - [i86]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR abs/2005.10356 (2020) - [i85]Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. CoRR abs/2006.11242 (2020) - [i84]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. CoRR abs/2006.15731 (2020) - [i83]Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. CoRR abs/2007.10639 (2020) - [i82]Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. CoRR abs/2007.10703 (2020) - [i81]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid:
Learning Video Representations from Textual Web Supervision. CoRR abs/2007.14937 (2020) - [i80]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) - [i79]Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driveN Trajectory Prediction. CoRR abs/2008.08294 (2020) - [i78]Robin A. M. Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. CoRR abs/2008.11174 (2020) - [i77]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) - [i76]Yves Dufournaud, Cordelia Schmid, Radu Horaud:
Image Matching with Scale Adjustment. CoRR abs/2012.05582 (2020) - [i75]Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
Look Before you Speak: Visually Contextualized Utterances. CoRR abs/2012.05710 (2020)
2010 – 2019
- 2019
- [j48]Pavel Tokmakov, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. Int. J. Comput. Vis. 127(3): 282-301 (2019) - [c181]Vladyslav Sydorov, Karteek Alahari, Cordelia Schmid:
Focused Attention for Action Recognition. BMVC 2019: 172 - [c180]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CVPR 2019: 273-283 - [c179]Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid:
MARS: Motion-Augmented RGB Stream for Action Recognition. CVPR 2019: 7882-7891 - [c178]Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Structured Model for Action Detection. CVPR 2019: 9975-9984 - [c177]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 - [c176]Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Detecting Unseen Visual Relations Using Analogies. ICCV 2019: 1981-1990 - [c175]Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images. ICCV 2019: 2232-2241 - [c174]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. ICCV 2019: 3722-3730 - [c173]Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu:
Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. ICCV 2019: 7062-7071 - [c172]Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. ICCV 2019: 7463-7472 - [c171]Joseph Roth, Zhonghua Xi, Caroline Pantofaru, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid:
Supplementary Material: AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. ICCV Workshops 2019: 3718-3722 - [c170]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Spreading vectors for similarity search. ICLR (Poster) 2019 - [c169]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. ICML 2019: 5558-5567 - [c168]Alexander Pashevich, Robin A. M. Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. IROS 2019: 2651-2657 - [c167]Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Adaptive Density Estimation for Generative Models. NeurIPS 2019: 11993-12003 - [c166]Cordelia Schmid:
Automatic Understanding of the Visual World. SIGIR 2019: 3-4 - [i74]Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Coverage and Quality Driven Training of Generative Image Models. CoRR abs/1901.01091 (2019) - [i73]Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. CoRR abs/1901.01342 (2019) - [i72]Alexander Pashevich, Robin A. M. Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. CoRR abs/1903.07740 (2019) - [i71]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. CoRR abs/1903.11341 (2019) - [i70]Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. CoRR abs/1904.01766 (2019) - [i69]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CoRR abs/1904.04231 (2019) - [i68]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) - [i67]Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Study on Action Detection in the Wild. CoRR abs/1904.12993 (2019) - [i66]Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid:
Contrastive Bidirectional Transformer for Temporal Representation Learning. CoRR abs/1906.05743 (2019) - [i65]Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu:
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. CoRR abs/1907.05820 (2019) - [i64]Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images. CoRR abs/1908.00439 (2019) - [i63]Robin A. M. 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) - [i62]Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. CoRR abs/1908.11229 (2019) - [i61]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. CoRR abs/1910.00324 (2019) - [i60]Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
Learning to Track Any Object. CoRR abs/1910.11844 (2019) - [i59]Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. CoRR abs/1912.04070 (2019) - 2018
- [j47]Grégory Rogez, Cordelia Schmid:
Image-Based Synthesis for Deep 3D Human Pose Estimation. Int. J. Comput. Vis. 126(9): 993-1008 (2018) - [j46]Gül Varol, Ivan Laptev, Cordelia Schmid:
Long-Term Temporal Convolutions for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1510-1517 (2018) - [j45]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1711-1725 (2018) - [j44]Nicolas Chesneau, Karteek Alahari, Cordelia Schmid:
Learning From Web Videos for Event Classification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3019-3029 (2018) - [c165]Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR 2018: 6047-6056 - [c164]Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid:
PoTion: Pose MoTion Representation for Action Recognition. CVPR 2018: 7024-7033 - [c163]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CVPR 2018: 7396-7404 - [c162]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 - [c161]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How Good Is My GAN? ECCV (2) 2018: 218-234 - [c160]Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. ECCV (12) 2018: 241-257 - [c159]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. ECCV (11) 2018: 335-351 - [c158]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context Is Key to Augmenting Object Detection Datasets. ECCV (12) 2018: 375-391 - [c157]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 - [c156]Daan Wynen, Cordelia Schmid, Julien Mairal:
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. NeurIPS 2018: 6584-6593 - [i58]Grégory Rogez, Cordelia Schmid:
Image-based Synthesis for Deep 3D Human Pose Estimation. CoRR abs/1802.04216 (2018) - [i57]Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images. CoRR abs/1803.00455 (2018) - [i56]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) - [i55]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. CoRR abs/1804.09626 (2018) - [i54]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CoRR abs/1804.09627 (2018) - [i53]Daan Wynen, Cordelia Schmid, Julien Mairal:
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. CoRR abs/1805.11155 (2018) - [i52]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
A neural network catalyzer for multi-dimensional similarity search. CoRR abs/1806.03198 (2018) - [i51]Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid:
Modeling Spatio-Temporal Human Track Structure for Action Localization. CoRR abs/1806.11008 (2018) - [i50]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) - [i49]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context is Key to Augmenting Object Detection Datasets. CoRR abs/1807.07428 (2018) - [i48]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How good is my GAN? CoRR abs/1807.09499 (2018) - [i47]Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. CoRR abs/1807.09536 (2018) - [i46]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. CoRR abs/1807.10982 (2018) - [i45]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. CoRR abs/1809.02492 (2018) - [i44]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. CoRR abs/1809.06396 (2018) - [i43]Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. CoRR abs/1812.00025 (2018) - [i42]Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert:
A Structured Model For Action Detection. CoRR abs/1812.03544 (2018) - [i41]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Detecting rare visual relations using analogies. CoRR abs/1812.05736 (2018) - 2017
- [j43]Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach. Int. J. Comput. Vis. 121(1): 149-168 (2017) - [j42]Gaurav Sharma, Frédéric Jurie, Cordelia Schmid:
Expanded Parts Model for Semantic Description of Humans in Still Images. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 87-101 (2017) - [j41]Ramazan Gokberk Cinbis, Jakob J. Verbeek, Cordelia Schmid:
Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 189-203 (2017) - [c155]Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid:
Detecting Parts for Action Localization. BMVC 2017 - [c154]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CVPR 2017: 531-539 - [c153]Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net: Localization-Classification-Regression for Human Pose. CVPR 2017: 1216-1224 - [c152]Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CVPR 2017: 4627-4635 - [c151]Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. ICCV 2017: 1251-1259 - [c150]Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. ICCV 2017: 1849-1858 - [c149]Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Joint Learning of Object and Action Detectors. ICCV 2017: 2001-2010 - [c148]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
Incremental Learning of Object Detectors without Catastrophic Forgetting. ICCV 2017: 3420-3429 - [c147]Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid:
BlitzNet: A Real-Time Deep Network for Scene Understanding. ICCV 2017: 4174-4182 - [c146]Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. ICCV 2017: 4415-4423 - [c145]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. ICCV 2017: 4491-4500 - [c144]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-Supervised Learning of Visual Relations. ICCV 2017: 5189-5198 - [c143]Danila Potapov, Matthijs Douze, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid:
Inferring the Structure of Action Movies. WICED@Eurographics 2017: 19-27 - [i40]Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning from Synthetic Humans. CoRR abs/1701.01370 (2017) - [i39]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. CoRR abs/1703.07144 (2017) - [i38]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. CoRR abs/1704.05737 (2017) - [i37]Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki:
SfM-Net: Learning of Structure and Motion from Video. CoRR abs/1704.07804 (2017) - [i36]