Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPatrick Pérez
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j60]Florent Bartoccioni
, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. Comput. Vis. Image Underst. 227: 103601 (2023)- [j59]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1533-1544 (2023) - [j58]Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda:
Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data. IEEE Robotics Autom. Lett. 8(2): 536-543 (2023) - [c181]Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez:
Unsupervised Object Localization: Observing the Background to Discover Objects. CVPR 2023: 3176-3186 - [c180]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CVPR 2023: 15062-15071 - [c179]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. ICLR 2023 - [i85]Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome:
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. CoRR abs/2302.03462 (2023) - [i84]Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez:
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. CoRR abs/2306.09281 (2023) - [i83]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR abs/2307.00820 (2023) - [i82]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR abs/2307.09361 (2023) - [i81]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR abs/2309.01575 (2023) - [i80]Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda:
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. CoRR abs/2309.08302 (2023) - 2022
- [j57]Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges. Int. J. Comput. Vis. 130(10): 2425-2452 (2022) - [j56]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) - [j55]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6043-6055 (2022) - [j54]Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving behavior explanation with multi-level fusion. Pattern Recognit. 123: 108421 (2022) - [j53]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) - [j52]Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23(8): 11823-11835 (2022) - [c178]Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL 2022: 1663-1672 - [c177]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops 2022: 3678-3686 - [c176]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops 2022: 3750-3759 - [c175]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CVPR Workshops 2022: 4408-4417 - [c174]Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez:
Raw High-Definition Radar for Multi-Task Learning. CVPR 2022: 17000-17009 - [c173]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 - [c172]Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) 2022: 387-403 - [c171]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 - [c170]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. ECCV (22) 2022: 516-533 - [c169]Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome:
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. ICPR 2022: 3478-3484 - [i79]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) - [i78]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) - [i77]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) - [i76]Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR abs/2206.13294 (2022) - [i75]Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda:
Teachers in concordance for pseudo-labeling of 3D sequential data. CoRR abs/2207.06079 (2022) - [i74]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) - [i73]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. CoRR abs/2208.00789 (2022) - [i72]Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez:
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR abs/2208.12625 (2022) - [i71]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CoRR abs/2211.12380 (2022) - [i70]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR abs/2212.03241 (2022) - [i69]Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez:
Unsupervised Object Localization: Observing the Background to Discover Objects. CoRR abs/2212.07834 (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) - [c168]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. AAAI 2021: 2692-2700 - [c167]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 - [c166]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 - [c165]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR 2021: 9342-9350 - [c164]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV 2021: 9052-9061 - [c163]Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut:
Multi-View Radar Semantic Segmentation. ICCV 2021: 15651-15660 - [c162]Julien Rebut, Andrei Bursuc, Patrick Pérez:
StyleLess layer: Improving robustness for real-world driving. IROS 2021: 8992-8999 - [c161]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) - [c160]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI 2020: 10688-10695 - [c159]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 - [c158]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CVPR 2020: 6926-6936 - [c157]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 - [c156]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) 2020: 173-189 - [c155]Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward Unsupervised, Multi-object Discovery in Large-Scale Image Collections. ECCV (23) 2020: 779-795 - [c154]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. Autonomous Vehicles and Machines 2020: 1-10 - [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]