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ORCIDJean Ponce
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- affiliation: University of Illinois, USA
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2020 – today
- 2024
[c153]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
Dense Optical Tracking: Connecting the Dots. CVPR 2024: 19187-19197- [i60]Nicolas Chahine, Sira Ferradans, Javier Vazquez-Corral, Jean Ponce:
Generalized Portrait Quality Assessment. CoRR abs/2402.09178 (2024) - [i59]Nicolas Chahine, Sira Ferradans, Jean Ponce:
PICNIQ: Pairwise Comparisons for Natural Image Quality Assessment. CoRR abs/2403.09746 (2024) - [i58]Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas:
Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR abs/2404.08471 (2024) - [i57]Elliot Vincent, Jean Ponce, Mathieu Aubry:
Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift. CoRR abs/2407.07616 (2024) - [i56]Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla, Yves Ubelmann, Philippe Marquis, Jean Ponce, Mathieu Aubry:
Detecting Looted Archaeological Sites from Satellite Image Time Series. CoRR abs/2409.09432 (2024) - [i55]Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange:
MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations. CoRR abs/2409.17178 (2024) - 2023
- [c152]Oumayma Bounou, Jean Ponce, Justin Carpentier:
Leveraging Proximal Optimization for Differentiating Optimal Control Solvers. CDC 2023: 6313-6320 - [c151]Nicolas Chahine, Ana-Stefania Calarasanu, Davide Garcia-Civiero, Théo Cayla, Sira Ferradans, Jean Ponce:
An Image Quality Assessment Dataset for Portraits. CVPR 2023: 9968-9978 - [c150]Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange:
Combining Multi-Spectral Data With Statistical and Deep-Learning Models for Improved Exoplanet Detection in Direct Imaging at High Contrast. EUSIPCO 2023: 1723-1727 - [c149]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction. ICCV 2023: 23172-23184 - [c148]Yann de Mont-Marin, Jean Ponce, Jean-Paul Laumond:
A minimum swept-volume metric structure for configuration space. ICRA 2023: 3686-3692 - [c147]Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Learning Reward Functions for Robotic Manipulation by Observing Humans. ICRA 2023: 5006-5012 - [c146]Xinglong Sun, Jean Ponce, Yu-Xiong Wang:
Revisiting Deformable Convolution for Depth Completion. IROS 2023: 1300-1306 - [i54]Elliot Vincent, Jean Ponce, Mathieu Aubry:
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach. CoRR abs/2303.12533 (2023) - [i53]Nicolas Chahine, Ana-Stefania Calarasanu, Davide Garcia-Civiero, Théo Cayla, Sira Ferradans, Jean Ponce:
An Image Quality Assessment Dataset for Portraits. CoRR abs/2304.05772 (2023) - [i52]Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange:
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast. CoRR abs/2306.12266 (2023) - [i51]Adrien Bardes, Jean Ponce, Yann LeCun:
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features. CoRR abs/2307.12698 (2023) - [i50]Xinglong Sun, Jean Ponce, Yu-Xiong Wang:
Revisiting Deformable Convolution for Depth Completion. CoRR abs/2308.01905 (2023) - [i49]Alexandre Araujo, Jean Ponce, Julien Mairal:
Towards Real-World Focus Stacking with Deep Learning. CoRR abs/2311.17846 (2023) - [i48]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
Dense Optical Tracking: Connecting the Dots. CoRR abs/2312.00786 (2023) - [i47]Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito, Julien Mairal, Jean Ponce:
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation. CoRR abs/2312.05190 (2023) - 2022
- [j59]Yaqing Ding
, Jian Yang, Jean Ponce, Hui Kong:
Homography-Based Minimal-Case Relative Pose Estimation With Known Gravity Direction. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 196-210 (2022) - [j58]Junghyup Lee, Dohyung Kim, Wonkyung Lee, Jean Ponce, Bumsub Ham:
Learning Semantic Correspondence Exploiting an Object-Level Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1399-1414 (2022) - [j57]Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal:
High dynamic range and super-resolution from raw image bursts. ACM Trans. Graph. 41(4): 38:1-38:21 (2022) - [c145]Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce:
Active Learning Strategies for Weakly-Supervised Object Detection. ECCV (30) 2022: 211-230 - [c144]Adrien Bardes, Jean Ponce, Yann LeCun:
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. ICLR 2022 - [c143]Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. IROS 2022: 10223-10229 - [c142]Adrien Bardes, Jean Ponce, Yann LeCun:
VICRegL: Self-Supervised Learning of Local Visual Features. NeurIPS 2022 - [i46]Thomas Chabal, Robin Strudel, Etienne Arlaud, Jean Ponce, Cordelia Schmid:
Assembly Planning from Observations under Physical Constraints. CoRR abs/2204.09616 (2022) - [i45]Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce:
Active Learning Strategies for Weakly-supervised Object Detection. CoRR abs/2207.12112 (2022) - [i44]Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal:
High Dynamic Range and Super-Resolution from Raw Image Bursts. CoRR abs/2207.14671 (2022) - [i43]Adrien Bardes, Jean Ponce, Yann LeCun:
VICRegL: Self-Supervised Learning of Local Visual Features. CoRR abs/2210.01571 (2022) - [i42]Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Learning Reward Functions for Robotic Manipulation by Observing Humans. CoRR abs/2211.09019 (2022) - [i41]Yann de Mont-Marin, Jean Ponce, Jean-Paul Laumond:
A minimum swept-volume metric structure for configuration space. CoRR abs/2211.11811 (2022) - [i40]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction. CoRR abs/2211.14308 (2022) - 2021
- [j56]Beomjun Kim, Jean Ponce, Bumsub Ham:
Deformable Kernel Networks for Joint Image Filtering. Int. J. Comput. Vis. 129(2): 579-600 (2021) - [c141]Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-supervised Transformers and no Labels. BMVC 2021: 310 - [c140]Bruno Lecouat, Jean Ponce, Julien Mairal:
Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts. ICCV 2021: 2350-2359 - [c139]Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. ICCV 2021: 8620-8630 - [c138]Sarah El Kazdadi, Justin Carpentier, Jean Ponce:
Equality Constrained Differential Dynamic Programming. ICRA 2021: 8053-8059 - [c137]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. NeurIPS 2021: 14042-14055 - [c136]Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. NeurIPS 2021: 16764-16778 - [c135]Oumayma Bounou, Jean Ponce, Justin Carpentier:
Online Learning and Control of Complex Dynamical Systems from Sensory Input. NeurIPS 2021: 27852-27864 - [i39]Bruno Lecouat, Jean Ponce, Julien Mairal:
Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts. CoRR abs/2104.06191 (2021) - [i38]Thomas Eboli, Jian Sun, Jean Ponce:
Learning to Jointly Deblur, Demosaick and Denoise Raw Images. CoRR abs/2104.06459 (2021) - [i37]Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry:
Unsupervised Layered Image Decomposition into Object Prototypes. CoRR abs/2104.14575 (2021) - [i36]Adrien Bardes, Jean Ponce, Yann LeCun:
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. CoRR abs/2105.04906 (2021) - [i35]Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021) - [i34]Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. CoRR abs/2106.06650 (2021) - [i33]Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid:
Residual Reinforcement Learning from Demonstrations. CoRR abs/2106.08050 (2021) - [i32]Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. CoRR abs/2107.08037 (2021) - [i31]Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-Supervised Transformers and no Labels. CoRR abs/2109.14279 (2021) - 2020
- [c134]Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong:
Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length. CVPR 2020: 7043-7051 - [c133]Bruno Lecouat, Jean Ponce, Julien Mairal:
Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration. ECCV (22) 2020: 238-254 - [c132]Thomas Eboli, Jian Sun, Jean Ponce:
End-to-end Interpretable Learning of Non-blind Image Deblurring. ECCV (17) 2020: 314-331 - [c131]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. ECCV (15) 2020: 346-363 - [c130]Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward Unsupervised, Multi-object Discovery in Large-Scale Image Collections. ECCV (23) 2020: 779-795 - [c129]Bruno Lecouat, Jean Ponce, Julien Mairal:
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding. NeurIPS 2020 - [i30]Thomas Eboli, Alex Nowak-Vila, Jian Sun, Francis R. Bach, Jean Ponce, Alessandro Rudi:
Structured and Localized Image Restoration. CoRR abs/2006.09261 (2020) - [i29]Bruno Lecouat, Jean Ponce, Julien Mairal:
Designing and Learning Trainable Priors with Non-Cooperative Games. CoRR abs/2006.14859 (2020) - [i28]Thomas Eboli, Jian Sun, Jean Ponce:
End-to-end Interpretable Learning of Non-blind Image Deblurring. CoRR abs/2007.01769 (2020) - [i27]Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward unsupervised, multi-object discovery in large-scale image collections. CoRR abs/2007.02662 (2020) - [i26]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. CoRR abs/2007.10587 (2020)
2010 – 2019
- 2019
- [c128]Matthew Trager, Martial Hebert, Jean Ponce:
Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry. CVPR 2019: 225-233 - [c127]Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham:
SFNet: Learning Object-Aware Semantic Correspondence. CVPR 2019: 2278-2287 - [c126]Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. CVPR 2019: 8287-8296 - [c125]Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong:
An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction. ICCV 2019: 1655-1664 - [c124]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. ICCV 2019: 3394-3403 - [c123]Yigong Zhang, Yicheng Gao, Shuo Gu, Yubin Guo, Minghao Liu, Zezhou Sun, Zhixing Hou, Hang Yang, Ying Wang, Jian Yang, Jean Ponce, Hui Kong:
Build your own hybrid thermal/EO camera for autonomous vehicle. ICRA 2019: 6555-6560 - [i25]Beomjun Kim, Jean Ponce, Bumsub Ham:
Deformable kernel networks for guided depth map upsampling. CoRR abs/1903.11286 (2019) - [i24]Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham:
SFNet: Learning Object-aware Semantic Correspondence. CoRR abs/1904.01810 (2019) - [i23]Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. CoRR abs/1904.03148 (2019) - [i22]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. CoRR abs/1908.06537 (2019) - [i21]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
SPair-71k: A Large-scale Benchmark for Semantic Correspondence. CoRR abs/1908.10543 (2019) - [i20]Beomjun Kim, Jean Ponce, Bumsub Ham:
Deformable Kernel Networks for Joint Image Filtering. CoRR abs/1910.08373 (2019) - [i19]Junghyup Lee, Dohyung Kim, Wonkyung Lee, Jean Ponce, Bumsub Ham:
Learning Semantic Correspondence Exploiting an Object-level Prior. CoRR abs/1911.12914 (2019) - [i18]Bruno Lecouat, Jean Ponce, Julien Mairal:
Revisiting Non Local Sparse Models for Image Restoration. CoRR abs/1912.02456 (2019) - 2018
- [j55]Bumsub Ham, Minsu Cho, Jean Ponce:
Robust Guided Image Filtering Using Nonconvex Potentials. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 192-207 (2018) - [j54]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) - [j53]Yigong Zhang, Yingna Su, Jian Yang, Jean Ponce, Hui Kong:
When Dijkstra Meets Vanishing Point: A Stereo Vision Approach for Road Detection. IEEE Trans. Image Process. 27(5): 2176-2188 (2018) - [c122]Matthew Trager, Brian Osserman, Jean Ponce:
On the Solvability of Viewing Graphs. ECCV (16) 2018: 335-350 - [c121]Yigong Zhang, Jian Yang, Jean Ponce, Hui Kong:
Dijkstra Model for Stereo-Vision Based Road Detection: A Non-Parametric Method. ICRA 2018: 1-8 - [i17]Matthew Trager, Brian Osserman, Jean Ponce:
On the Solvability of Viewing Graphs. CoRR abs/1808.02856 (2018) - 2017
- [j52]Jean Ponce, Bernd Sturmfels, Matthew Trager:
Congruences and concurrent lines in multi-view geometry. Adv. Appl. Math. 88: 62-91 (2017) - [c120]Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General Models for Rational Cameras and the Case of Two-Slit Projections. CVPR 2017: 2520-2528 - [c119]Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis R. Bach, Patrick Pérez:
Kernel Square-Loss Exemplar Machines for Image Retrieval. CVPR 2017: 7263-7271 - [c118]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 - [i16]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. CoRR abs/1703.07144 (2017) - [i15]Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. CoRR abs/1705.04043 (2017) - 2016
- [j51]Jian Sun, Jean Ponce:
Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation. Int. J. Comput. Vis. 120(2): 111-133 (2016) - [j50]Matthew Trager, Jean Ponce, Martial Hebert:
Trinocular Geometry Revisited. Int. J. Comput. Vis. 120(2): 134-152 (2016) - [c117]Matthew Trager, Martial Hebert, Jean Ponce:
Consistency of Silhouettes and Their Duals. CVPR 2016: 3346-3354 - [c116]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow. CVPR 2016: 3475-3484 - [i14]Jean Ponce, Bernd Sturmfels, Matthew Trager:
Congruences and Concurrent Lines in Multi-View Geometry. CoRR abs/1608.05924 (2016) - [i13]Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General models for rational cameras and the case of two-slit projections. CoRR abs/1612.01160 (2016) - 2015
- [c115]Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce:
Learning a convolutional neural network for non-uniform motion blur removal. CVPR 2015: 769-777 - [c114]Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. CVPR 2015: 1201-1210 - [c113]Bumsub Ham, Minsu Cho, Jean Ponce:
Robust image filtering using joint static and dynamic guidance. CVPR 2015: 4823-4831 - [c112]Matthew Trager, Martial Hebert, Jean Ponce:
The Joint Image Handbook. ICCV 2015: 909-917 - [c111]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. ICCV 2015: 3173-3181 - [c110]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 - [c109]Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in images and videos. URAI 2015: 292-293 - [i12]Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals. CoRR abs/1501.06170 (2015) - [i11]Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce:
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal. CoRR abs/1503.00593 (2015) - [i10]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. CoRR abs/1505.03825 (2015) - [i9]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) - [i8]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow. CoRR abs/1511.05065 (2015) - 2014
- [j49]Julien Mairal, Francis R. Bach, Jean Ponce:
Sparse Modeling for Image and Vision Processing. Found. Trends Comput. Graph. Vis. 8(2-3): 85-283 (2014) - [c108]Jean Ponce, Martial Hebert:
Trinocular Geometry Revisited. CVPR 2014: 17-24 - [c107]Minsu Cho, Jian Sun, Olivier Duchenne, Jean Ponce:
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers. CVPR 2014: 2091-2098 - [c106]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 - [c105]Jean Ponce, Martial Hebert:
On Image Contours of Projective Shapes. ECCV (4) 2014: 736-749 - [p4]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Efficient, blind, spatially-variant deblurring for shaken images. Motion Deblurring 2014: 75-99 - [i7]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) - [i6]Julien Mairal, Francis R. Bach, Jean Ponce:
Sparse Modeling for Image and Vision Processing. CoRR abs/1411.3230 (2014) - 2013
- [c104]Florent Couzinie-Devy, Jian Sun, Karteek Alahari, Jean Ponce:
Learning to Estimate and Remove Non-uniform Image Blur. CVPR 2013: 1075-1082 - [c103]