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2020 – today
- 2022
[j54]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical perspective on learning with normalization layers. Neurocomputing 487: 66-74 (2022)- [j53]Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving behavior explanation with multi-level fusion. Pattern Recognit. 123: 108421 (2022) - [j52]B. Ravi Kiran
, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 23(6): 4909-4926 (2022) - [i71]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) - [i70]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2204.11667 (2022) - [i69]Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt:
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance. CoRR abs/2205.05677 (2022) - 2021
- [j51]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Handling new target classes in semantic segmentation with domain adaptation. Comput. Vis. Image Underst. 212: 103258 (2021) - [j50]Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, Christian Theobalt:
Neural monocular 3D human motion capture with physical awareness. ACM Trans. Graph. 40(4): 83:1-83:15 (2021) - [c167]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. AAAI 2021: 2692-2700 - [c166]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 - [c165]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR 2021: 6830-6840 - [c164]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR 2021: 9342-9350 - [c163]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV 2021: 9052-9061 - [c162]Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut:
Multi-View Radar Semantic Segmentation. ICCV 2021: 15651-15660 - [c161]Julien Rebut, Andrei Bursuc, Patrick Pérez:
StyleLess layer: Improving robustness for real-world driving. IROS 2021: 8992-8999 - [c160]Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. NeurIPS 2021: 16764-16778 - [i68]Éloi Zablocki, Hedi Ben-Younes, Patrick Pérez, Matthieu Cord:
Explainability of vision-based autonomous driving systems: Review and challenges. CoRR abs/2101.05307 (2021) - [i67]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation. CoRR abs/2101.07253 (2021) - [i66]Julien Rebut, Andrei Bursuc, Patrick Pérez:
StyleLess layer: Improving robustness for real-world driving. CoRR abs/2103.13905 (2021) - [i65]Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut:
Multi-View Radar Semantic Segmentation. CoRR abs/2103.16214 (2021) - [i64]Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, Christian Theobalt:
Neural Monocular 3D Human Motion Capture with Physical Awareness. CoRR abs/2105.01057 (2021) - [i63]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation with Class Proportions. CoRR abs/2106.01629 (2021) - [i62]Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce:
Large-Scale Unsupervised Object Discovery. CoRR abs/2106.06650 (2021) - [i61]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. CoRR abs/2108.06962 (2021) - [i60]Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. CoRR abs/2109.03569 (2021) - [i59]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CoRR abs/2109.08048 (2021) - [i58]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) - [i57]Paul Jacob, Éloi Zablocki, Hedi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. CoRR abs/2111.09094 (2021) - [i56]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CoRR abs/2112.03252 (2021) - [i55]Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez:
Raw High-Definition Radar for Multi-Task Learning. CoRR abs/2112.10646 (2021) - 2020
- [j49]Erwan Le Merrer, Patrick Pérez, Gilles Trédan:
Adversarial frontier stitching for remote neural network watermarking. Neural Comput. Appl. 32(13): 9233-9244 (2020) - [j48]Ayush Tewari, Michael Zollhöfer, Florian Bernard, Pablo Garrido, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt:
High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 357-370 (2020) - [j47]Juan-Manuel Pérez-Rúa, Ondrej Miksik, Tomás Crivelli, Patrick Bouthemy, Philip H. S. Torr, Patrick Pérez:
ROAM: A Rich Object Appearance Model with Application to Rotoscoping. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 1996-2010 (2020) - [j46]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Audio-Visual Scene Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 28: 416-428 (2020) - [j45]Ayush Tewari, Mohamed Elgharib, Mallikarjun B. R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
PIE: portrait image embedding for semantic control. ACM Trans. Graph. 39(6): 223:1-223:14 (2020) - [c159]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI 2020: 10688-10695 - [c158]Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. CVPR 2020: 6141-6150 - [c157]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CVPR 2020: 6926-6936 - [c156]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CVPR 2020: 12602-12611 - [c155]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) 2020: 173-189 - [c154]Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward Unsupervised, Multi-object Discovery in Large-Scale Image Collections. ECCV (23) 2020: 779-795 - [c153]Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This Dataset Does Not Exist: Training Models from Generated Images. ICASSP 2020: 1-5 - [c152]Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez:
CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations. ICPR 2020: 5068-5075 - [i54]Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton:
Scattering Features for Multimodal Gait Recognition. CoRR abs/2001.08830 (2020) - [i53]Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey. CoRR abs/2002.00444 (2020) - [i52]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CoRR abs/2002.12247 (2020) - [i51]Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images. CoRR abs/2004.00121 (2020) - [i50]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2004.01130 (2020) - [i49]Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez:
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations. CoRR abs/2005.01456 (2020) - [i48]Xu Yao, Gilles Puy, Patrick Pérez:
Photo style transfer with consistency losses. CoRR abs/2005.04408 (2020) - [i47]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation. CoRR abs/2006.08658 (2020) - [i46]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical Perspective on Learning with Batch Norm. CoRR abs/2006.13382 (2020) - [i45]Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward unsupervised, multi-object discovery in large-scale image collections. CoRR abs/2007.02662 (2020) - [i44]Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Émilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton:
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users. CoRR abs/2007.05397 (2020) - [i43]Ayush Tewari, Mohamed Elgharib, Mallikarjun B. R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
PIE: Portrait Image Embedding for Semantic Control. CoRR abs/2009.09485 (2020) - [i42]Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. CoRR abs/2012.02647 (2020) - [i41]Hedi Ben-Younes, Eloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving Behavior Explanation with Multi-level Fusion. CoRR abs/2012.04983 (2020) - [i40]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. CoRR abs/2012.06508 (2020) - [i39]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. CoRR abs/2012.08274 (2020) - [i38]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR abs/2012.11552 (2020)
2010 – 2019
- 2019
- [c151]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CVPR 2019: 2517-2526 - [c150]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 - [c149]Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver for Fast Style Transfers. CVPR 2019: 8963-8972 - [c148]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. CVPR 2019: 10792-10801 - [c147]Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
FML: Face Model Learning From Videos. CVPR 2019: 10812-10822 - [c146]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. ICCV 2019: 7363-7372 - [c145]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV 2019: 8058-8067 - [c144]Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende:
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. ICCV 2019: 9307-9317 - [c143]Xu Yao, Gilles Puy, Patrick Pérez:
Photo Style Transfer With Consistency Losses. ICIP 2019: 2314-2318 - [c142]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. NeurIPS 2019: 466-477 - [c141]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. NeurIPS 2019: 2898-2909 - [c140]Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. VISIGRAPP (5: VISAPP) 2019: 564-572 - [c139]Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision. WASPAA 2019: 268-272 - [i37]Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring applications of deep reinforcement learning for real-world autonomous driving systems. CoRR abs/1901.01536 (2019) - [i36]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-aware Domain Adaptation in Semantic Segmentation. CoRR abs/1904.01886 (2019) - [i35]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) - [i34]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: a Sorting Deep net to learn ranking loss surrogates. CoRR abs/1904.04272 (2019) - [i33]Senthil Kumar Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez:
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving. CoRR abs/1905.01489 (2019) - [i32]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network. CoRR abs/1905.01861 (2019) - [i31]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. CoRR abs/1906.00817 (2019) - [i30]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning with Self-Supervision. CoRR abs/1906.05186 (2019) - [i29]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. CoRR abs/1910.04851 (2019) - [i28]Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This dataset does not exist: training models from generated images. CoRR abs/1911.02888 (2019) - [i27]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CoRR abs/1911.12676 (2019) - [i26]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QUEST: Quantized embedding space for transferring knowledge. CoRR abs/1912.01540 (2019) - 2018
- [j44]Michael Zollhöfer, Justus Thies, Pablo Garrido, Derek Bradley, Thabo Beeler, Patrick Pérez, Marc Stamminger, Matthias Nießner, Christian Theobalt:
State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications. Comput. Graph. Forum 37(2): 523-550 (2018) - [j43]Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt:
Deep video portraits. ACM Trans. Graph. 37(4): 163 (2018) - [j42]Cagdas Bilen, Alexey Ozerov, Patrick Pérez:
Solving Time-Domain Audio Inverse Problems Using Nonnegative Tensor Factorization. IEEE Trans. Signal Process. 66(21): 5604-5617 (2018) - [c138]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CVPR Workshops 2018: 2518-2519 - [c137]Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt:
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz. CVPR 2018: 2549-2559 - [c136]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. CVPR 2018: 3984-3993 - [c135]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
Learning a Complete Image Indexing Pipeline. CVPR 2018: 4933-4941 - [c134]Eric Grinstein, Ngoc Q. K. Duong, Alexey Ozerov, Patrick Pérez:
Audio Style Transfer. ICASSP 2018: 586-590 - [c133]Huy V. Vo, Ngoc Q. K. Duong, Patrick Pérez:
Structural inpainting. ACM Multimedia 2018: 1948-1956 - [i25]Huy V. Vo, Ngoc Q. K. Duong, Patrick Pérez:
Structural inpainting. CoRR abs/1803.10348 (2018) - [i24]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding beans in burgers: Deep semantic-visual embedding with localization. CoRR abs/1804.01720 (2018) - [i23]Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Bouthemy, Patrick Pérez:
Learning how to be robust: Deep polynomial regression. CoRR abs/1804.06504 (2018) - [i22]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CoRR abs/1804.07345 (2018) - [i21]Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt:
Deep Video Portraits. CoRR abs/1805.11714 (2018) - [i20]Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer. CoRR abs/1806.05285 (2018) - [i19]Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision. CoRR abs/1811.04000 (2018) - [i18]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CoRR abs/1811.12833 (2018) - [i17]Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
FML: Face Model Learning from Videos. CoRR abs/1812.07603 (2018) - 2017
- [j41]Alasdair Newson, Andrés Almansa, Yann Gousseau, Patrick Pérez:
Non-Local Patch-Based Image Inpainting. Image Process. Line 7: 373-385 (2017) - [c132]Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis R. Bach, Patrick Pérez:
Kernel Square-Loss Exemplar Machines for Image Retrieval. CVPR 2017: 7263-7271 - [c131]Ondrej Miksik, Juan-Manuel Pérez-Rúa, Philip H. S. Torr, Patrick Pérez:
ROAM: A Rich Object Appearance Model with Application to Rotoscoping. CVPR 2017: 7426-7434 - [c130]Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton:
Scattering features for multimodal gait recognition. GlobalSIP 2017: 843-847 - [c129]Gilles Puy, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez:
Informed source separation via compressive graph signal sampling. ICASSP 2017: 1-5 - [c128]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Motion informed audio source separation. ICASSP 2017: 6-10 - [c127]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
SuBiC: A Supervised, Structured Binary Code for Image Search. ICCV 2017: 833-842 - [c126]Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Pérez, Christian Theobalt:
MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. ICCV 2017: 3735-3744 - [c125]Alexey Ozerov, Srdan Kitic, Patrick Pérez:
A comparative study of example-guided audio source separation approaches based on nonnegative matrix factorization. MLSP 2017: 1-6 - [c124]Sylvain Duchêne, Carlos Aliaga, Tania Pouli, Patrick Pérez:
Mixed illumination analysis in single image for interactive color grading. NPAR@Expressive 2017: 10:1-10:10 - [c123]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Guiding audio source separation by video object information. WASPAA 2017: 61-65 - [i16]Gilles Puy, Srdan Kitic, Patrick Pérez:
Unifying local and non-local signal processing with graph CNNs. CoRR abs/1702.07759 (2017) - [i15]Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Pérez, Christian Theobalt:
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. CoRR abs/1703.10580 (2017) - [i14]Gilles Puy, Patrick Pérez:
Structured sampling and fast reconstruction of smooth graph signals. CoRR abs/1705.02202 (2017) - [i13]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
SUBIC: A supervised, structured binary code for image search. CoRR abs/1708.02932 (2017) - [i12]