Patrick Pérez

LTCI

Photo style transfer with consistency losses

May 09, 2020
Xu Yao, Gilles Puy, Patrick Pérez

* In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 2314-2318). IEEE 
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BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation

Apr 02, 2020
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez


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StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

Mar 31, 2020
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt

* CVPR 2020 (Oral). Project page: https://gvv.mpi-inf.mpg.de/projects/StyleRig/ 
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Learning Representations by Predicting Bags of Visual Words

Feb 27, 2020
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord

* Accepted to CVPR2020 
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Deep Reinforcement Learning for Autonomous Driving: A Survey

Feb 02, 2020
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Yogamani, Patrick Pérez


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Scattering Features for Multimodal Gait Recognition

Jan 23, 2020
Srđan Kitić, Gilles Puy, Patrick Pérez, Philippe Gilberton

* Published at IEEE GlobalSIP 2017 
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QUEST: Quantized embedding space for transferring knowledge

Dec 03, 2019
Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord


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xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Nov 28, 2019
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez

* For a demo video, see http://tiny.cc/xmuda 
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This dataset does not exist: training models from generated images

Nov 07, 2019
Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez


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Addressing Failure Prediction by Learning Model Confidence

Oct 26, 2019
Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez

* NeurIPS 2019 (accepted) 
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Boosting Few-Shot Visual Learning with Self-Supervision

Jun 12, 2019
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord


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Zero-Shot Semantic Segmentation

Jun 03, 2019
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez


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SoDeep: a Sorting Deep net to learn ranking loss surrogates

Apr 08, 2019
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

* Accepted to CVPR 2019 
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DADA: Depth-aware Domain Adaptation in Semantic Segmentation

Apr 04, 2019
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez

* 10 pages, 4 figures 
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FML: Face Model Learning from Videos

Dec 18, 2018
Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt

* Video: https://www.youtube.com/watch?v=SG2BwxCw0lQ, Project Page: https://gvv.mpi-inf.mpg.de/projects/FML19/ 
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ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Nov 30, 2018
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Mathieu Cord, Patrick Pérez


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Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision

Nov 09, 2018
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Duong, Patrick Pérez, Gaël Richard


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Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events

Jul 09, 2018
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard


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A Flexible Convolutional Solver with Application to Photorealistic Style Transfer

Jun 13, 2018
Gilles Puy, Patrick Pérez


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Deep Video Portraits

May 29, 2018
Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt

* SIGGRAPH 2018, Video: https://www.youtube.com/watch?v=qc5P2bvfl44 
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Finding beans in burgers: Deep semantic-visual embedding with localization

Apr 06, 2018
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

* Accepted to CVPR2018 
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Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz

Mar 29, 2018
Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt

* CVPR 2018 (Oral). Project webpage: https://gvv.mpi-inf.mpg.de/projects/FML/ 
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Learning a Complete Image Indexing Pipeline

Dec 12, 2017
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval


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MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

Dec 07, 2017
Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Pérez, Christian Theobalt

* International Conference on Computer Vision (ICCV) 2017 (Oral), 13 pages 
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SUBIC: A supervised, structured binary code for image search

Aug 09, 2017
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval

* Accepted at ICCV 2017 (Spotlight) 
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Unifying local and non-local signal processing with graph CNNs

Jul 07, 2017
Gilles Puy, Srdan Kitic, Patrick Pérez


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Sketching for Large-Scale Learning of Mixture Models

May 05, 2017
Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez


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ROAM: a Rich Object Appearance Model with Application to Rotoscoping

Dec 05, 2016
Ondrej Miksik, Juan-Manuel Pérez-Rúa, Philip H. S. Torr, Patrick Pérez


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Approximate search with quantized sparse representations

Aug 10, 2016
Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou

* ECCV 2016 
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