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Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation

Jan 18, 2021
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez

* arXiv admin note: text overlap with arXiv:1911.12676 

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Explainability of vision-based autonomous driving systems: Review and challenges

Jan 13, 2021
Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

* submitted to IJCV 

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Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning

Dec 21, 2020
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez

* Technical report. Code at https://github.com/valeoai/obow 

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Artificial Dummies for Urban Dataset Augmentation

Dec 15, 2020
Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, Josef Šivic

* Accepted to AAAI 2021 

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Confidence Estimation via Auxiliary Models

Dec 11, 2020
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

* Under review at TPAMI 

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Driving Behavior Explanation with Multi-level Fusion

Dec 09, 2020
Hédi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord

* Accepted at NeurIPS Workshop ML4AD 2020 

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Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Dec 04, 2020
Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi

* Submission to IEEE Transactions on Intelligent Transportation Systems (T-ITS) 

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PIE: Portrait Image Embedding for Semantic Control

Sep 20, 2020
Ayush Tewari, Mohamed Elgharib, Mallikarjun B R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt

* To appear in SIGGRAPH Asia 2020. Project webpage: https://gvv.mpi-inf.mpg.de/projects/PIE/ 

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VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users

Jul 10, 2020
Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Emilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton

* This paper is reprinted from, "VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users, IS&T Electronic Imaging: Autonomous Vehicles and Machines 2020 Proceedings, (IS&T, Springfield, VA, 2020) page 109-1-10. DOI: 10.2352/ISSN.2470-1173.2020.16.AVM-109." Reprinted with permission of The Society for Imaging Science and Technology, holders of the 2020 copyright 

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Toward unsupervised, multi-object discovery in large-scale image collections

Jul 06, 2020
Huy V. Vo, Patrick Pérez, Jean Ponce

* Accepted for publication in ECCV 2020 

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Spherical Perspective on Learning with Batch Norm

Jun 23, 2020
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry


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ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation

Jun 15, 2020
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

* Accepted at the CVPR 2020 Workshop on Scalability in Autonomous Driving 

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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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