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2020 – today
- 2024
[j62]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. Trans. Mach. Learn. Res. 2024 (2024)- [c195]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CVPR Workshops 2024: 4493-4503 - [c194]Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CVPR 2024: 15195-15204 - [c193]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Three Pillars Improving Vision Foundation Model Distillation for Lidar. CVPR 2024: 21519-21529 - [c192]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
A Simple Recipe for Language-Guided Domain Generalized Segmentation. CVPR 2024: 23428-23437 - [c191]Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez:
Winner-takes-all learners are geometry-aware conditional density estimators. ICML 2024 - [c190]Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez:
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? ICRA 2024: 18428-18435 - [c189]David Kalmuk
, Christian Garcia-Arellano, Ronald Barber, Richard Sidle, Kostas Rakopoulos, Hamdi Roumani, William Minor, Alexander Cheung, Robert C. Hooper, Matthew Emmerton, Zach Hoggard, Scott Walkty, Patrick Pérez, Aleksandrs Santars, Michael Chen, Matthew Olan, Daniel C. Zilio, Imran Sayyid, Humphrey Li, Ketan Rampurkar, Krishna K. Ramachandran, Yiren Shen:
Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture. SIGMOD Conference Companion 2024: 188-200 - [i100]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) - [i99]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CoRR abs/2404.14027 (2024) - [i98]Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez:
Winner-takes-all learners are geometry-aware conditional density estimators. CoRR abs/2406.04706 (2024) - 2023
- [j61]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) - [j60]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) - [j59]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) - [j58]Soshi Shimada, Vladislav Golyanik, Patrick Pérez, Christian Theobalt:
Decaf: Monocular Deformation Capture for Face and Hand Interactions. ACM Trans. Graph. 42(6): 262:1-262:16 (2023) - [c188]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 - [c187]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CVPR 2023: 15062-15071 - [c186]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV 2023: 18577-18587 - [c185]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) 2023: 3212-3221 - [c184]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. ICLR 2023 - [c183]Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda:
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. IROS 2023: 7643-7650 - [c182]Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard:
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. NeurIPS 2023 - [c181]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 - [i97]Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome:
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. CoRR abs/2302.03462 (2023) - [i96]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) - [i95]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR abs/2307.00820 (2023) - [i94]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) - [i93]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) - [i92]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) - [i91]Soshi Shimada, Vladislav Golyanik, Patrick Pérez, Christian Theobalt:
Decaf: Monocular Deformation Capture for Face and Hand Interactions. CoRR abs/2309.16670 (2023) - [i90]Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez:
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. CoRR abs/2310.12904 (2023) - [i89]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR abs/2310.17504 (2023) - [i88]Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard:
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. CoRR abs/2311.01052 (2023) - [i87]Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny:
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR abs/2311.14542 (2023) - [i86]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR abs/2311.17922 (2023) - [i85]Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CoRR abs/2312.00703 (2023) - [i84]Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle:
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR abs/2312.06386 (2023) - [i83]Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda:
Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency. CoRR abs/2312.08879 (2023) - [i82]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR abs/2312.09231 (2023) - [i81]Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez:
CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR abs/2312.12359 (2023) - [i80]Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Manipulating Trajectory Prediction with Backdoors. CoRR abs/2312.13863 (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) - [c180]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 - [c179]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops 2022: 3678-3686 - [c178]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 - [c177]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CVPR Workshops 2022: 4408-4417 - [c176]Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez:
Raw High-Definition Radar for Multi-Task Learning. CVPR 2022: 17000-17009 - [c175]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 - [c174]Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) 2022: 387-403 - [c173]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 - [c172]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 - [c171]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) - [c170]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. AAAI 2021: 2692-2700 - [c169]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 - [c168]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 - [c167]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR 2021: 9342-9350 - [c166]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV 2021: 9052-9061 - [c165]Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut:
Multi-View Radar Semantic Segmentation. ICCV 2021: 15651-15660 - [c164]Julien Rebut, Andrei Bursuc, Patrick Pérez:
StyleLess layer: Improving robustness for real-world driving. IROS 2021: 8992-8999 - [c163]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) - [c162]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI 2020: 10688-10695 - [c161]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 - [c160]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CVPR 2020: 6926-6936 - [c159]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 - [c158]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) 2020: 173-189 - [c157]Huy V. Vo, Patrick Pérez, Jean Ponce:
Toward Unsupervised, Multi-object Discovery in Large-Scale Image Collections. ECCV (23) 2020: 779-795 - [c156]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 - [c155]Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This Dataset Does Not Exist: Training Models from Generated Images. ICASSP 2020: 1-5 - [c154]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
- [c153]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 - [c152]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 - [c151]Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver for Fast Style Transfers. CVPR 2019: 8963-8972 - [c150]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. CVPR 2019: 10792-10801 - [c149]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 - [c148]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. ICCV 2019: 7363-7372 - [c147]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV 2019: 8058-8067 - [c146]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 - [c145]Xu Yao, Gilles Puy, Patrick Pérez:
Photo Style Transfer With Consistency Losses. ICIP 2019: 2314-2318 - [c144]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. NeurIPS 2019: 466-477 - [c143]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. NeurIPS 2019: 2898-2909 - [c142]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 - [c141]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) - [c140]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 - [c139]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 - [c138]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. CVPR 2018: 3984-3993 - [c137]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
Learning a Complete Image Indexing Pipeline. CVPR 2018: 4933-4941 - [c136]Eric Grinstein, Ngoc Q. K. Duong, Alexey Ozerov, Patrick Pérez:
Audio Style Transfer. ICASSP 2018: 586-590 - [c135]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) - [c134]Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis R. Bach, Patrick Pérez:
Kernel Square-Loss Exemplar Machines for Image Retrieval. CVPR 2017: 7263-7271 - [c133]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 - [c132]Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton:
Scattering features for multimodal gait recognition. GlobalSIP 2017: 843-847 - [c131]Gilles Puy, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez:
Informed source separation via compressive graph signal sampling. ICASSP 2017: 1-5 - [c130]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Motion informed audio source separation. ICASSP 2017: 6-10 - [c129]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
SuBiC: A Supervised, Structured Binary Code for Image Search. ICCV 2017: 833-842 - [c128]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 - [c127]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 - [c126]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 - [c125]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]Eric Grinstein, Ngoc Q. K. Duong, Alexey Ozerov, Patrick Pérez:
Audio style transfer. CoRR abs/1710.11385 (2017) - [i11]Erwan Le Merrer, Patrick Pérez, Gilles Trédan:
Adversarial Frontier Stitching for Remote Neural Network Watermarking. CoRR abs/1711.01894 (2017) - [i10]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. CoRR abs/1712.02859 (2017) - [i9]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
Learning a Complete Image Indexing Pipeline. CoRR abs/1712.04480 (2017) - 2016
- [j40]Tomás Crivelli, Patrick Pérez, Lionel Oisel:
Visual object trapping. Comput. Vis. Image Underst. 153: 3-15 (2016) - [j39]Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez:
Object-guided motion estimation. Comput. Vis. Image Underst. 153: 88-99 (2016) - [j38]Pablo Garrido, Michael Zollhöfer, Dan Casas, Levi Valgaerts, Kiran Varanasi, Patrick Pérez, Christian Theobalt:
Reconstruction of Personalized 3D Face Rigs from Monocular Video. ACM Trans. Graph. 35(3): 28:1-28:15 (2016) - [j37]Pablo Garrido, Michael Zollhöfer, Chenglei Wu, Derek Bradley, Patrick Pérez, Thabo Beeler, Christian Theobalt:
Corrective 3D reconstruction of lips from monocular video. ACM Trans. Graph. 35(6): 219:1-219:11 (2016) - [c124]Abdelaziz Djelouah, Jean-Sébastien Franco, Edmond Boyer, Patrick Pérez, George Drettakis:
Cotemporal Multi-View Video Segmentation. 3DV 2016: 360-369 - [c123]Xinrui Lyu, Joaquin Zepeda, Patrick Pérez:
Maximum Margin Linear Classifiers in Unions of Subspaces. BMVC 2016 - [c122]Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez, Patrick Bouthemy:
Discovering motion hierarchies via tree-structured coding of trajectories. BMVC 2016 - [c121]Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Bouthemy, Patrick Pérez:
Determining Occlusions from Space and Time Image Reconstructions. CVPR 2016: 1382-1391 - [c120]Gustavo Sena Mafra, Ngoc Q. K. Duong, Alexey Ozerov, Patrick Pérez:
Acoustic Scene Classification: An evaluation of an extremely compact feature representation. DCASE 2016: 85-89 - [c119]Praveen Kulkarni, Frédéric Jurie, Joaquin Zepeda, Patrick Pérez, Louis Chevallier:
SPLeaP: Soft Pooling of Learned Parts for Image Classification. ECCV (8) 2016: 329-345 - [c118]Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou:
Approximate Search with Quantized Sparse Representations. ECCV (7) 2016: 681-696 - [c117]Pierre Prablanc, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez:
Text-informed speech inpainting via voice conversion. EUSIPCO 2016: 878-882 - [c116]Mozhdeh Seifi, Neus Sabater, Valter Drazic, Patrick Pérez:
On plenoptic sub-aperture view recovery. EUSIPCO 2016: 893-897 - [c115]Cagdas Bilen, Joaquin Zepeda, Patrick Pérez:
The CNN news footage datasets: Enabling supervision in image retrieval. EUSIPCO 2016: 1901-1905 - [c114]Cagdas Bilen, Alexey Ozerov, Patrick Pérez:
Automatic allocation of NTF components for user-guided audio source separation. ICASSP 2016: 484-488 - [c113]Alexey Ozerov, Cagdas Bilen, Patrick Pérez:
Multichannel audio declipping. ICASSP 2016: 659-663 - [c112]Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez:
Sketching for large-scale learning of mixture models. ICASSP 2016: 6190-6194 - [c111]Cagdas Bilen, Joaquin Zepeda, Patrick Pérez:
Supervised learning of low-rank transforms for image retrieval. ICIP 2016: 2455-2459 - [c110]Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez, Patrick Bouthemy:
Hierarchical motion decomposition for dynamic scene parsing. ICIP 2016: 3952-3956 - [i8]Pablo Garrido, Levi Valgaerts, Ole Rehmsen, Thorsten Thormählen, Patrick Pérez, Christian Theobalt:
Automatic Face Reenactment. CoRR abs/1602.02651 (2016) - [i7]Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez:
Sketching for Large-Scale Learning of Mixture Models. CoRR abs/1606.02838 (2016) - [i6]Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou:
Approximate search with quantized sparse representations. CoRR abs/1608.03308 (2016) - [i5]Ondrej Miksik, Juan-Manuel Pérez-Rúa, Philip H. S. Torr, Patrick Pérez:
ROAM: a Rich Object Appearance Model with Application to Rotoscoping. CoRR abs/1612.01495 (2016) - 2015
- [j36]Pablo Garrido, Levi Valgaerts, H. Sarmadi, Ingmar Steiner, Kiran Varanasi, Patrick Pérez, Christian Theobalt:
VDub: Modifying Face Video of Actors for Plausible Visual Alignment to a Dubbed Audio Track. Comput. Graph. Forum 34(2): 193-204 (2015) - [j35]Anthony Bourrier, Florent Perronnin, Rémi Gribonval, Patrick Pérez, Hervé Jégou:
Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels. J. Math. Imaging Vis. 52(3): 459-468 (2015) - [j34]Abdelaziz Djelouah, Jean-Sébastien Franco, Edmond Boyer, François Le Clerc, Patrick Pérez:
Sparse Multi-View Consistency for Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1890-1903 (2015) - [j33]Tomás Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, Patrick Pérez:
Robust Optical Flow Integration. IEEE Trans. Image Process. 24(1): 484-498 (2015) - [c109]Praveen Kulkarni, Joaquin Zepeda, Frédéric Jurie, Patrick Pérez, Louis Chevallier:
Learning the Structure of Deep Architectures Using L1 Regularization. BMVC 2015: 23.1-23.11 - [c108]Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Nießner, Stuart Golodetz, Stephen L. Hicks, Patrick Pérez, Shahram Izadi, Philip H. S. Torr:
The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces. CHI 2015: 3317-3326 - [c107]Gaurav Sharma, Patrick Pérez:
Latent max-margin metric learning for comparing video face tubes. CVPR Workshops 2015: 65-74 - [c106]Joaquin Zepeda, Patrick Pérez:
Exemplar SVMs as visual feature encoders. CVPR 2015: 3052-3060 - [c105]Çagdas Bilen, Alexey Ozerov, Patrick Pérez:
Joint Audio Inpainting and Source Separation. LVA/ICA 2015: 251-258 - [c104]Praveen Kulkarni, Joaquin Zepeda, Frédéric Jurie, Patrick Pérez, Louis Chevallier:
Hybrid multi-layer deep CNN/aggregator feature for image classification. ICASSP 2015: 1379-1383 - [c103]Xavier P. Burgos-Artizzu, Joaquin Zepeda, François Le Clerc, Patrick Pérez:
Pose and Expression-Coherent Face Recovery in the Wild. ICCV Workshops 2015: 877-885 - [c102]Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez:
Background-foreground tracking for video object segmentation. ICIP 2015: 1613-1617 - [c101]Vibhav Vineet, Ondrej Miksik, Morten Lidegaard, Matthias Nießner, Stuart Golodetz, Victor Adrian Prisacariu, Olaf Kähler, David William Murray, Shahram Izadi, Patrick Pérez, Philip H. S. Torr:
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction. ICRA 2015: 75-82 - [c100]Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr:
Incremental dense multi-modal 3D scene reconstruction. IROS 2015: 908-915 - [c99]Cagdas Bilen, Alexey Ozerov, Patrick Pérez:
Audio declipping via nonnegative matrix factorization. WASPAA 2015: 1-5 - [c98]Cagdas Bilen, Alexey Ozerov, Patrick Pérez:
Compressive sampling-based informed source separation. WASPAA 2015: 1-5 - [i4]Praveen Kulkarni, Joaquin Zepeda, Frédéric Jurie, Patrick Pérez, Louis Chevallier:
Hybrid multi-layer Deep CNN/Aggregator feature for image classification. CoRR abs/1503.04065 (2015) - [i3]Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez:
Video Inpainting of Complex Scenes. CoRR abs/1503.05528 (2015) - 2014
- [j32]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Stochastic Level Set Dynamics to Track Closed Curves Through Image Data. J. Math. Imaging Vis. 49(2): 296-316 (2014) - [j31]Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Pérez:
Perceptual Principles for Video Classification With Slow Feature Analysis. IEEE J. Sel. Top. Signal Process. 8(3): 428-437 (2014) - [j30]Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez:
Video Inpainting of Complex Scenes. SIAM J. Imaging Sci. 7(4): 1993-2019 (2014) - [j29]Alasdair Newson, Andrés Almansa, Yann Gousseau, Patrick Pérez:
Robust Automatic Line Scratch Detection in Films. IEEE Trans. Image Process. 23(3): 1240-1254 (2014) - [j28]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory 60(12): 7928-7946 (2014) - [c97]Gaurav Sharma, Frédéric Jurie, Patrick Pérez:
EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification. ACCV (4) 2014: 49-63 - [c96]Aakanksha Rana, Joaquin Zepeda, Patrick Pérez:
Feature Learning for the Image Retrieval Task. ACCV Workshops (3) 2014: 152-165 - [c95]Ondrej Miksik, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr:
Distributed Non-convex ADMM-based inference in large-scale random fields. BMVC 2014 - [c94]Pablo Garrido, Levi Valgaerts, Ole Rehmsen, Thorsten Thormählen, Patrick Pérez, Christian Theobalt:
Automatic Face Reenactment. CVPR 2014: 4217-4224 - [c93]Binod Bhattarai, Gaurav Sharma, Frédéric Jurie, Patrick Pérez:
Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval. ECCV Workshops (2) 2014: 160-172 - [c92]Neus Sabater, Mozhdeh Seifi, Valter Drazic, Gustavo L. Sandri, Patrick Pérez:
Accurate Disparity Estimation for Plenoptic Images. ECCV Workshops (2) 2014: 548-560 - [c91]Mozhdeh Seifi, Neus Sabater, Valter Drazic, Patrick Pérez:
Disparity-guided demosaicking of light field images. ICIP 2014: 5482-5486 - [c90]Aymeric Stamm, Olivier Commowick, Patrick Pérez, Christian Barillot:
Fast identification of optimal fascicle configurations from standard clinical diffusion MRI using Akaike information criterion. ISBI 2014: 238-241 - 2013
- [j27]Safa Chérigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel, Patrick Pérez:
Correspondence Map-Aided Neighbor Embedding for Image Intra Prediction. IEEE Trans. Image Process. 22(3): 1161-1174 (2013) - [c89]Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez:
Towards fast, generic video inpainting. CVMP 2013: 7:1-7:8 - [c88]Anthony Bourrier, Rémi Gribonval, Patrick Pérez:
Compressive Gaussian Mixture estimation. ICASSP 2013: 6024-6028 - [c87]Abdelaziz Djelouah, Jean-Sébastien Franco, Edmond Boyer, François Le Clerc, Patrick Pérez:
Multi-view Object Segmentation in Space and Time. ICCV 2013: 2640-2647 - [c86]Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez:
On evaluating face tracks in movies. ICIP 2013: 3003-3007 - [c85]Alasdair Newson, Andrés Almansa, Yann Gousseau, Patrick Pérez:
Temporal filtering of line scratch detections in degraded films. ICIP 2013: 4088-4092 - [c84]Aymeric Stamm, Olivier Commowick, Christian Barillot, Patrick Pérez:
Adaptive Multi-modal Particle Filtering for Probabilistic White Matter Tractography. IPMI 2013: 594-606 - [c83]Jonathan Delhumeau, Philippe Henri Gosselin, Hervé Jégou, Patrick Pérez:
Revisiting the VLAD image representation. ACM Multimedia 2013: 653-656 - [i2]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems. CoRR abs/1311.6239 (2013) - 2012
- [j26]Hervé Jégou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Pérez, Cordelia Schmid:
Aggregating Local Image Descriptors into Compact Codes. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1704-1716 (2012) - [c82]Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Pérez:
Multi-step flow fusion: towards accurate and dense correspondences in long video shots. BMVC 2012: 1-12 - [c81]Alasdair Newson, Patrick Pérez, Andrés Almansa, Yann Gousseau:
Adaptive line scratch detection in degraded films. CVMP 2012: 66-74 - [c80]Abdelaziz Djelouah, Jean-Sébastien Franco, Edmond Boyer, François Le Clerc, Patrick Pérez:
N-tuple Color Segmentation for Multi-view Silhouette Extraction. ECCV (5) 2012: 818-831 - [c79]Safa Chérigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel, Patrick Pérez:
Hybrid template and block matching algorithm for image intra prediction. ICASSP 2012: 781-784 - [c78]Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez:
From optical flow to dense long term correspondences. ICIP 2012: 61-64 - [c77]Safa Chérigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel, Patrick Pérez:
Map-Aided Locally Linear Embedding methods for image prediction. ICIP 2012: 2909-2912 - [c76]Pierre Hellier, Vincent Demoulin, Lionel Oisel, Patrick Pérez:
A contrario shot detection. ICIP 2012: 3085-3088 - [c75]Aymeric Stamm, Patrick Pérez, Christian Barillot:
A new multi-fiber model for low angular resolution diffusion MRI. ISBI 2012: 936-939 - [c74]André Araújo, Fernando Silveira, Haricharan Lakshman, Joaquin Zepeda, Anmol Sheth, Patrick Pérez, Bernd Girod:
The Stanford/Technicolor/Fraunhofer HHI Video Semantic Indexing System. TRECVID 2012 - 2011
- [j25]Charles Kervrann, Jérôme Boulanger, Thierry Pécot, Patrick Pérez, Jean Salamero:
Multiscale NeighborhoodWise Decision Fusion for Redundancy Detection in Image Pairs. Multiscale Model. Simul. 9(4): 1829-1865 (2011) - [j24]Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez:
View-Independent Action Recognition from Temporal Self-Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 172-185 (2011) - [j23]Frédéric Cao, Yann Gousseau, Simon Masnou, Patrick Pérez:
Geometrically Guided Exemplar-Based Inpainting. SIAM J. Imaging Sci. 4(4): 1143-1179 (2011) - [c73]Philippe Weinzaepfel, Hervé Jégou, Patrick Pérez:
Reconstructing an image from its local descriptors. CVPR 2011: 337-344 - [c72]Kumar Raja, Ivan Laptev, Patrick Pérez, Lionel Oisel:
Joint pose estimation and action recognition in image graphs. ICIP 2011: 25-28 - [c71]Christophe Guilmart, Stéphane Herbin, Patrick Pérez:
Context-driven moving object detection in aerial scenes with user input. ICIP 2011: 1781-1784 - [c70]Safa Chérigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel, Patrick Pérez:
Epitome-based image compression using translational sub-pel mapping. MMSP 2011: 1-6 - 2010
- [j22]Antonio Criminisi, Toby Sharp, Carsten Rother, Patrick Pérez:
Geodesic image and video editing. ACM Trans. Graph. 29(5): 134:1-134:15 (2010) - [c69]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Tracking Level Set Representation Driven by a Stochastic Dynamics. Curves and Surfaces 2010: 130-141 - [c68]Hervé Jégou, Matthijs Douze, Cordelia Schmid, Patrick Pérez:
Aggregating local descriptors into a compact image representation. CVPR 2010: 3304-3311 - [c67]Matthijs Douze, Hervé Jégou, Cordelia Schmid, Patrick Pérez:
Compact Video Description for Copy Detection with Precise Temporal Alignment. ECCV (1) 2010: 522-535 - [c66]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Stochastic Filtering of Level Sets for Curve Tracking. ICPR 2010: 3553-3556
2000 – 2009
- 2009
- [j21]Aurélie Bugeau, Patrick Pérez:
Detection and segmentation of moving objects in complex scenes. Comput. Vis. Image Underst. 113(4): 459-476 (2009) - [c65]Emilie Dexter, Patrick Pérez, Ivan Laptev:
Multi-view Synchronization of Human Actions and Dynamic Scenes. BMVC 2009: 1-11 - [c64]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Tracking Closed Curves with Non-linear Stochastic Filters. SSVM 2009: 576-587 - [c63]Emilie Dexter, Patrick Pérez, Ivan Laptev, Imran N. Junejo:
View-independent Video Synchronization from Temporal Self-similarities. VISAPP (2) 2009: 383-391 - 2008
- [j20]Aurélie Bugeau, Patrick Pérez:
Track and Cut: Simultaneous Tracking and Segmentation of Multiple Objects with Graph Cuts. EURASIP J. Image Video Process. 2008 (2008) - [c62]Matthieu Fradet, Patrick Pérez, Philippe Robert:
Semi-automatic Motion Segmentation with Motion Layer Mosaics. ECCV (3) 2008: 210-223 - [c61]Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez:
Cross-View Action Recognition from Temporal Self-similarities. ECCV (2) 2008: 293-306 - [c60]Matthieu Fradet, Patrick Pérez, Philippe Robert:
Time-sequential extraction of motion layers. ICIP 2008: 3224-3227 - [c59]Aurélie Bugeau, Patrick Pérez:
Track and Cut: Simultaneous Tracking and Segmentation of Multiple ObjectS with Graph Cuts. VISAPP (2) 2008: 447-454 - 2007
- [j19]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Robust tracking with motion estimation and local Kernel-based color modeling. Image Vis. Comput. 25(8): 1205-1216 (2007) - [c58]Aurélie Bugeau, Patrick Pérez:
Joint Tracking and Segmentation of Objects Using Graph Cuts. ACIVS 2007: 628-639 - [c57]Aurélie Bugeau, Patrick Pérez:
Detection and segmentation of moving objects in highly dynamic scenes. CVPR 2007 - [c56]Vijay Badrinarayanan, Patrick Pérez, François Le Clerc, Lionel Oisel:
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues. ICCV 2007: 1-8 - [c55]Ivan Laptev, Patrick Pérez:
Retrieving actions in movies. ICCV 2007: 1-8 - [c54]Vijay Badrinarayanan, Patrick Pérez, François Le Clerc, Lionel Oisel:
On Uncertainties, Random Features and Object Tracking. ICIP (5) 2007: 61-64 - [i1]Aurélie Bugeau, Patrick Pérez:
Bandwidth selection for kernel estimation in mixed multi-dimensional spaces. CoRR abs/0709.1920 (2007) - 2006
- [c53]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Kernel-Based Robust Tracking for Objects Undergoing Occlusion. ACCV (2) 2006: 353-362 - [c52]Patrick Pérez, Jaco Vermaak:
Bayesian Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions. WDV 2006: 190-202 - [c51]Antoine Lehuger, Patrick Léchat, Patrick Pérez:
An adaptive mixture color model for robust visual tracking. ICIP 2006: 573-576 - 2005
- [c50]Ivan Laptev, Serge J. Belongie, Patrick Pérez, Josh Wills:
Periodic Motion Detection and Segmentation via Approximate Sequence Alignment. ICCV 2005: 816-823 - [c49]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Robust tracking with motion estimation and kernel-based color modelling. ICIP (1) 2005: 717-720 - [c48]Jaco Vermaak, Simon Maskell, Mark Briers, Patrick Pérez:
Bayesian visual tracking with existence process. ICIP (1) 2005: 721-724 - 2004
- [j18]Jean-Noël Provost, Christophe Collet, Philippe Rostaing, Patrick Pérez, Patrick Bouthemy:
Hierarchical Markovian segmentation of multispectral images for the reconstruction of water depth maps. Comput. Vis. Image Underst. 93(2): 155-174 (2004) - [j17]Patrick Pérez, Jaco Vermaak, Andrew Blake:
Data fusion for visual tracking with particles. Proc. IEEE 92(3): 495-513 (2004) - [j16]Antonio Criminisi, Patrick Pérez, Kentaro Toyama:
Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process. 13(9): 1200-1212 (2004) - [c47]Lexing Xie, Patrick Pérez:
Slightly Supervised Learning of Part-Based Appearance Models. CVPR Workshops 2004: 107 - [c46]Andrew Blake, Carsten Rother, Matthew A. Brown, Patrick Pérez, Philip H. S. Torr:
Interactive Image Segmentation Using an Adaptive GMMRF Model. ECCV (1) 2004: 428-441 - 2003
- [j15]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach. J. Math. Imaging Vis. 19(3): 175-198 (2003) - [j14]Patrick Pérez, Michel Gangnet, Andrew Blake:
Poisson image editing. ACM Trans. Graph. 22(3): 313-318 (2003) - [c45]Jaco Vermaak, Patrick Pérez:
Constrained Subspace Modelling. CVPR (2) 2003: 106-113 - [c44]Antonio Criminisi, Patrick Pérez, Kentaro Toyama:
Object Removal by Exemplar-Based Inpainting. CVPR (2) 2003: 721-728 - [c43]Jaco Vermaak, Neil D. Lawrence, Patrick Pérez:
Variational Inference for Visual Tracking. CVPR (1) 2003: 773-780 - [c42]Jaco Vermaak, Arnaud Doucet, Patrick Pérez:
Maintaining Multi-Modality through Mixture Tracking. ICCV 2003: 1110-1116 - 2002
- [j13]Étienne Mémin, Patrick Pérez:
Hierarchical Estimation and Segmentation of Dense Motion Fields. Int. J. Comput. Vis. 46(2): 129-155 (2002) - [j12]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Dense Estimation of Fluid Flows. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 365-380 (2002) - [j11]Ronan Fablet, Patrick Bouthemy, Patrick Pérez:
Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval. IEEE Trans. Image Process. 11(4): 393-407 (2002) - [j10]Carine Hue, Jean-Pierre Le Cadre, Patrick Pérez:
Sequential Monte Carlo methods for multiple target tracking and data fusion. IEEE Trans. Signal Process. 50(2): 309-325 (2002) - [c41]Jaco Vermaak, Patrick Pérez, Michel Gangnet, Andrew Blake:
Rapid Summarisation and Browsing of Video Sequences. BMVC 2002: 1-10 - [c40]Jaco Vermaak, Patrick Pérez, Michel Gangnet, Andrew Blake:
Towards Improved Observation Models for Visual Tracking: Selective Adaptation. ECCV (1) 2002: 645-660 - [c39]Patrick Pérez, Carine Hue, Jaco Vermaak, Michel Gangnet:
Color-Based Probabilistic Tracking. ECCV (1) 2002: 661-675 - [c38]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Dense Motion Analysis in Fluid Imagery. ECCV (1) 2002: 676-691 - 2001
- [c37]Fabien Dekeyser, Patrick Bouthemy, Patrick Pérez:
A New Algorithm for Super-Resolution from Image Sequences. CAIP 2001: 473-481 - [c36]Patrick Pérez, Andrew Blake, Michel Gangnet:
JetStream: Probabilistic Contour Extraction with Particles. ICCV 2001: 524-531 - [c35]Jaco Vermaak, Michel Gangnet, Andrew Blake, Patrick Pérez:
Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking. ICCV 2001: 741-747 - [c34]Andrew Blake, Michel Gangnet, Patrick Pérez, Jaco Vermaak:
Integrated Tracking with Vision and Sound. ICIAP 2001: 354- - 2000
- [j9]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor. Comput. Vis. Image Underst. 79(1): 4-24 (2000) - [j8]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 129-141 (2000) - [j7]Patrick Pérez, Annabelle Chardin, Jean-Marc Laferté:
Noniterative manipulation of discrete energy-based models for image analysis. Pattern Recognit. 33(4): 573-586 (2000) - [j6]Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz:
Discrete Markov image modeling and inference on the quadtree. IEEE Trans. Image Process. 9(3): 390-404 (2000) - [j5]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Sonar image segmentation using an unsupervised hierarchical MRF model. IEEE Trans. Image Process. 9(7): 1216-1231 (2000) - [c33]Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez:
An Energy-Based Framework for Dense 3D Registration of Volumetric Brain Images. CVPR 2000: 2270-2275 - [c32]Fabien Dekeyser, Patrick Bouthemy, Patrick Pérez:
Spatio-Temporal Wiener Filtering of Image Sequences Using a Parametric Motion Model. ICIP 2000: 208-211 - [c31]Christophe Collet, Jean-Noël Provost, Philippe Rostaing, Patrick Pérez, Patrick Bouthemy:
Spot Satellite Data Analysis for Bathymetric Mapping. ICIP 2000: 464-467 - [c30]Fabien Dekeyser, Patrick Bouthemy, Patrick Pérez, Étienne Payot:
Super-Resolution from Noisy Image Sequences Exploiting a 2D Parametric Motion Model. ICPR 2000: 3354-3357 - [c29]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Estimating Fluid Optical Flow. ICPR 2000: 7045-7048 - [c28]Ronan Fablet, Patrick Bouthemy, Patrick Pérez:
Statistical motion-based video indexing and retrieval. RIAO 2000: 602-619
1990 – 1999
- 1999
- [j4]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Three-Class Markovian Segmentation of High-Resolution Sonar Images. Comput. Vis. Image Underst. 76(3): 191-204 (1999) - [c27]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Bayesian inference and optimization strategies for some detection and classification problems in sonar imagery. Electronic Imaging: Nonlinear Image Processing 1999 - [c26]Annabelle Chardin, Patrick Pérez:
Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis. EMMCVPR 1999: 83-98 - [c25]Étienne Mémin, Patrick Pérez:
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields. ICCV 1999: 620-625 - [c24]Annabelle Chardin, Patrick Pérez:
Unsupervised Image Classification with a Hierarchical EM Algorithm. ICCV 1999: 969-974 - [c23]Annabelle Chardin, Patrick Pérez:
Mode of Posterior Marginals with Hierarchical Models. ICIP (1) 1999: 324-328 - [c22]Jean-Noël Provost, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
A Hierarchical Unsupervised Multispectral Model to Segment Spot Images for Ocean Cartography. ICIP (1) 1999: 333-337 - [c21]Étienne Mémin, Patrick Pérez:
Dense/Parametric Estimation of Fluid Flows. ICIP (3) 1999: 732-736 - [c20]Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez:
Medical Image Registration with Robust Multigrid Techniques. MICCAI 1999: 680-687 - [c19]Jean-Noël Provost, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Unsupervised multispectral segmentation of SPOT images applied to nautical cartography. NSIP 1999: 622-626 - 1998
- [j3]Étienne Mémin, Patrick Pérez:
Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Trans. Image Process. 7(5): 703-719 (1998) - [c18]Étienne Mémin, Patrick Pérez:
Joint Estimation-Segmentation of Optic Flow. ECCV (2) 1998: 563-577 - [c17]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Statistical model and genetic optimization: application to pattern detection in sonar images. ICASSP 1998: 2741-2744 - [c16]Étienne Mémin, Patrick Pérez:
A Multigrid Approach for Hierarchical Motion Estimation. ICCV 1998: 933-938 - [c15]Annabelle Chardin, Patrick Pérez:
Semi-Iterative Inference with Hierarchical Models. ICIP (1) 1998: 630-634 - 1997
- [j2]Charles Kervrann, Franck Davoine, Patrick Pérez, Robert Forchheimer, Claude Labit:
Generalized likelihood ratio-based face detection and extraction of mouth features. Pattern Recognit. Lett. 18(9): 899-912 (1997) - [c14]Charles Kervrann, Franck Davoine, Patrick Pérez, Haibo Li, Robert Forchheimer, Claude Labit:
Generalized Likelihood Ratio-based Face Detection and Extraction of Mouth Features. AVBPA 1997: 27-34 - [c13]Patrick Pérez, Jean-Marc Laferté:
Noniterative Manipulation of Discrete Energy-Based Models for Image Analysis. EMMCVPR 1997: 149-164 - [c12]Maurice Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Unsupervised Segmentation Applied on Sonar Images. EMMCVPR 1997: 491-506 - [c11]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Unsupervised Markovian segmentation of sonar images. ICASSP 1997: 2781-2784 - 1996
- [j1]Patrick Pérez, Fabrice Heitz:
Restriction of a Markov random field on a graph and multiresolution statistical image modeling. IEEE Trans. Inf. Theory 42(1): 180-190 (1996) - [c10]Nikos Paragios, Patrick Pérez, Georgios Tziritas, Claude Labit, Patrick Bouthemy:
Adaptive detection of moving objects using multiscale techniques. ICIP (1) 1996: 525-528 - [c9]Patrick Piscaglia, Benoît Macq, Étienne Mémin, Patrick Pérez, Claude Labit:
Parallelized robust multiresolution motion estimation. ICIP (1) 1996: 945-948 - [c8]Christophe Collet, Pierre Thourel, Patrick Pérez, Patrick Bouthemy:
Hierarchical MRF modeling for sonar picture segmentation. ICIP (3) 1996: 979-982 - [c7]Charles Kervrann, Fabrice Heitz, Patrick Pérez:
Statistical model-based estimation and tracking of non-rigid motion. ICPR 1996: 244-248 - [c6]Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez:
A multiresolution EM algorithm for unsupervised image classification. ICPR 1996: 849-853 - [c5]Étienne Mémin, Patrick Pérez:
Robust discontinuity-preserving model for estimating optical flow. ICPR 1996: 920-924 - 1995
- [c4]Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre:
Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. ICCV 1995: 908-913 - 1994
- [c3]Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz:
Global non-linear multigrid optimization for image analysis tasks. ICASSP (5) 1994: 533-536 - [c2]Patrick Pérez, Basilis Gidas:
Motion Detection and Tracking using Deformable Templates. ICIP (2) 1994: 272-276 - 1992
- [c1]Patrick Pérez, Fabrice Heitz:
Multiscale Markov random fields and constrained relaxation in low level image analysis. ICASSP 1992: 61-64
Coauthor Index
Hédi Ben-Younes
aka: Hedi Ben-Younes
aka: Hedi Ben-Younes
[j62] [c194] [c190] [j61] [c187] [c185] [i96] [i94] [i93] [i87] [i85] [i84] [i82] [i80] [j57] [j55] [j54] [j52] [c180] [c179] [c178] [c177] [c174] [i78] [i76] [i71] [j51] [c168] [c167] [c166] [i68] [i63] [i61] [i60] [i59] [i57] [i56] [c162] [c160] [c158] [c155] [i52] [i50] [i47] [i42] [i41] [i40] [i38] [c153] [c150] [c148] [c147] [c144] [c143] [i36] [i34] [i32] [i31] [i30] [i29] [i28] [i26] [c138] [i24] [i18] [j31]
Spyros Gidaris
aka: Spyridon Gidaris
aka: Spyridon Gidaris
Eloi Zablocki
aka: Éloi Zablocki
aka: Éloi Zablocki
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