Piotr Bojanowski

100 papers A* 20A 1B 2Misc 2Journal 65Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CHMv2: Improvements in Global Canopy Height Mapping using DINOv3. CoRR John Brandt, Seung Eun Yi, Jamie Tolan, Xinyuan Li, Peter Potapov, Jessica Ertel, Justine Spore, Huy V. Vo, Michaël Ramamonjisoa, Patrick Labatut, Piotr Bojanowski, Camille Couprie
2026	J	`jnl`	Efficient Universal Perception Encoder. CoRR Chenchen Zhu, Saksham Suri, Cijo Jose, Maxime Oquab, Marc Szafraniec, Wei Wen, Yunyang Xiong, Patrick Labatut, Piotr Bojanowski, Raghuraman Krishnamoorthi, Vikas Chandra
2026	J	`jnl`	Revisiting [CLS] and Patch Token Interaction in Vision Transformers. CoRR Alexis Marouani, Oriane Siméoni, Hervé Jégou, Piotr Bojanowski, Huy V. Vo
2025	J	`jnl`	Back to the Features: DINO as a Foundation for Video World Models. CoRR Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski
2025	J	`jnl`	Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy. PLoS Comput. Biol. Théo Moutakanni, Camille Couprie, Seung Eun Yi, Michael Doron, Zitong Sam Chen, Nikita Moshkov, Elouan Gardes, Mathilde Caron, Hugo Touvron, Armand Joulin, Piotr Bojanowski, Wolfgang M. Pernice, Juan C. Caicedo
2025	J	`jnl`	Cluster and Predict Latent Patches for Improved Masked Image Modeling. CoRR Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2025	J	`jnl`	Cluster and Predict Latents Patches for Improved Masked Image Modeling. Trans. Mach. Learn. Res. Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2025	A*	`conf`	DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CVPR Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	DINOv3. CoRR Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	Disentangling the Factors of Convergence between Brains and Computer Vision Models. CoRR Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Rémi King
2025	J	`jnl`	Scaling Channel-Adaptive Self-Supervised Learning. Trans. Mach. Learn. Res. Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice
2025	J	`jnl`	V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. CoRR Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2024	J	`jnl`	Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew J. Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. Trans. Mach. Learn. Res. Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CoRR Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2024	A*	`conf`	Vision Transformers Need Registers. ICLR Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2024	J	`jnl`	You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
2024	A*	`conf`	You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. NeurIPS Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
2023	A*	`conf`	Co-training 2L Submodels for Visual Recognition. CVPR Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2023	J	`jnl`	Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRR Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari
2023	J	`jnl`	ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2023	A*	`conf`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	J	`jnl`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	J	`jnl`	Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. CoRR Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Théo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
2023	A*	`conf`	The hidden uniform cluster prior in self-supervised learning. ICLR Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2023	J	`jnl`	Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions. CoRR Lina Mezghani, Piotr Bojanowski, Karteek Alahari, Sainbayar Sukhbaatar
2023	J	`jnl`	Vision Transformers Need Registers. CoRR Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2022	J	`jnl`	Co-training 2 CoRR Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
2022	Misc	`conf`	Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRL Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari
2022	—	`conf`	Masked Siamese Networks for Label-Efficient Learning. ECCV (31) Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
2022	J	`jnl`	Masked Siamese Networks for Label-Efficient Learning. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
2022	A	`conf`	Memory-Augmented Reinforcement Learning for Image-Goal Navigation. IROS Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari
2022	J	`jnl`	The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2022	J	`jnl`	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski
2022	J	`jnl`	Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision. CoRR Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Karteek Alahari
2021	J	`jnl`	Augmenting Convolutional networks with attention-based aggregation. CoRR Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou
2021	A*	`conf`	Emerging Properties in Self-Supervised Vision Transformers. ICCV Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	Emerging Properties in Self-Supervised Vision Transformers. CoRR Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	Memory-Augmented Reinforcement Learning for Image-Goal Navigation. CoRR Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari
2021	J	`jnl`	ResMLP: Feedforward networks for image classification with data-efficient training. CoRR Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	J	`jnl`	Self-supervised Pretraining of Visual Features in the Wild. CoRR Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
2021	A*	`conf`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2021	A*	`conf`	XCiT: Cross-Covariance Image Transformers. NeurIPS Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	J	`jnl`	XCiT: Cross-Covariance Image Transformers. CoRR Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2020	J	`jnl`	Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski
2020	J	`jnl`	Pruning Convolutional Neural Networks with Self-Supervision. CoRR Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
2020	A*	`conf`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2020	J	`jnl`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2019	—	`conf`	Adaptive Attention Span in Transformers. ACL (1) Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
2019	J	`jnl`	Adaptive Attention Span in Transformers. CoRR Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
2019	J	`jnl`	Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2019	—	`conf`	Misspelling Oblivious Word Embeddings. NAACL-HLT (1) Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri
2019	J	`jnl`	Misspelling Oblivious Word Embeddings. CoRR Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri
2019	—	`conf`	Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin
2019	A*	`conf`	Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2019	J	`jnl`	Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin
2018	B	`conf`	Advances in Pre-Training Distributed Word Representations. LREC Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
2018	—	`conf`	Colorless Green Recurrent Networks Dream Hierarchically. NAACL-HLT Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni
2018	J	`jnl`	Colorless green recurrent networks dream hierarchically. CoRR Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni
2018	—	`conf`	Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
2018	J	`jnl`	Deep Clustering for Unsupervised Learning of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
2018	J	`jnl`	Improving Supervised Bilingual Mapping of Word Embeddings. CoRR Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave
2018	B	`conf`	Learning Word Vectors for 157 Languages. LREC Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
2018	J	`jnl`	Learning Word Vectors for 157 Languages. CoRR Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
2018	J	`jnl`	Learning from Narrated Instruction Videos. IEEE Trans. Pattern Anal. Mach. Intell. Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2018	A*	`conf`	Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave
2018	A*	`conf`	Optimizing the Latent Space of Generative Networks. ICML Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
2017	J	`jnl`	Advances in Pre-Training Distributed Word Representations. CoRR Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
2017	—	`conf`	Bag of Tricks for Efficient Text Classification. EACL (2) Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
2017	J	`jnl`	Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
2017	—	`conf`	Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
2017	J	`jnl`	Fast Linear Model for Knowledge Graph Embeddings. CoRR Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
2017	A*	`conf`	Learning from Video and Text via Large-Scale Discriminative Clustering. ICCV Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic
2017	J	`jnl`	Learning from Video and Text via Large-Scale Discriminative Clustering. CoRR Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic
2017	J	`jnl`	Optimizing the Latent Space of Generative Networks. CoRR Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
2017	A*	`conf`	Parseval Networks: Improving Robustness to Adversarial Examples. ICML Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
2017	J	`jnl`	Parseval Networks: Improving Robustness to Adversarial Examples. CoRR Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
2017	A*	`conf`	Unsupervised Learning by Predicting Noise. ICML Piotr Bojanowski, Armand Joulin
2017	J	`jnl`	Unsupervised Learning by Predicting Noise. CoRR Piotr Bojanowski, Armand Joulin
2016	Misc	`conf`	A weakly-supervised discriminative model for audio-to-score alignment. ICASSP Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis R. Bach
2016	J	`jnl`	Bag of Tricks for Efficient Text Classification. CoRR Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
2016	J	`jnl`	Enriching Word Vectors with Subword Information. CoRR Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
2016	J	`jnl`	FastText.zip: Compressing text classification models. CoRR Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov
2016	A*	`conf`	Instance-Level Video Segmentation from Object Tracks. CVPR Guillaume Seguin, Piotr Bojanowski, Rémi Lajugie, Ivan Laptev
2016	—	`—`	Learning to annotate dynamic video scenes. (Annotation automatique de scenes vidéo). Piotr Bojanowski
2016	A*	`conf`	Unsupervised Learning from Narrated Instruction Videos. CVPR Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2015	J	`jnl`	Alternative structures for character-level RNNs. CoRR Piotr Bojanowski, Armand Joulin, Tomás Mikolov
2015	J	`jnl`	Learning from narrated instruction videos. CoRR Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2015	J	`jnl`	Semidefinite and Spectral Relaxations for Multi-Label Classification. CoRR Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot, Francis R. Bach
2015	J	`jnl`	Weakly-Supervised Alignment of Video With Text. CoRR Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
2015	A*	`conf`	Weakly-Supervised Alignment of Video with Text. ICCV Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
2014	J	`jnl`	Weakly Supervised Action Labeling in Videos Under Ordering Constraints. CoRR Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic
2014	—	`conf`	Weakly Supervised Action Labeling in Videos under Ordering Constraints. ECCV (5) Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic
2013	A*	`conf`	Finding Actors and Actions in Movies. ICCV Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic