Nicolas Ballas

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 75

Top Venues

CoRR

ICLR (Poster)

ICLR (Workshop)

ICCV

Mines ParisTech, France (PHD)

Education History

Mines ParisTech, France

PHD

Publications

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
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)
Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR (2024)
Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR (2024)
Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun
Learning and Leveraging World Models in Visual Representation Learning. CoRR (2024)
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy 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
DINOv2: Learning Robust Visual Features without Supervision. CoRR (2023)
Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR (2023)
Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
Predicting masked tokens in stochastic locations improves masked image modeling. CoRR (2023)
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR (2023)
Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
The hidden uniform cluster prior in self-supervised learning. ICLR (2023)
Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR (2023)
Florian Bordes, Samuel Lavoie, Randall Balestriero, Nicolas Ballas, Pascal Vincent
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation. CoRR (2023)
Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR (2023)
Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz
Discovering environments with XRM. CoRR (2023)
Quentin Duval, Ishan Misra, Nicolas Ballas
A Simple Recipe for Competitive Low-compute Self supervised Vision Models. CoRR (2023)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
Masked Siamese Networks for Label-Efficient Learning. CoRR (2022)
Rim Assouel, Lluís Castrejón, Aaron C. Courville, Nicolas Ballas, Yoshua Bengio
VIM: Variational Independent Modules for Video Prediction. CLeaR (2022)
Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi
Uniform Masking Prevails in Vision-Language Pretraining. CoRR (2022)
Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR (2022)
Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
Cascaded Video Generation for Videos In-the-Wild. CoRR (2022)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
Masked Siamese Networks for Label-Efficient Learning. ECCV (31) (2022)
Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR (2022)
Nasim Rahaman, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
Neural Attentive Circuits. CoRR (2022)
Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
Cascaded Video Generation for Videos In-the-Wild. ICPR (2022)
Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
Neural Attentive Circuits. NeurIPS (2022)
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR (2022)
Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas
Trade-offs of Local SGD at Scale: An Empirical Study. CoRR (2021)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV (2021)
Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
Hierarchical Video Generation for Complex Data. CoRR (2021)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR (2021)
Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. ICLR (2020)
Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
Lookahead Converges to Stationary Points of Smooth Non-convex Functions. ICASSP (2020)
Mahmoud Assran, Nicolas Ballas, Lluís Castrejón, Michael G. Rabbat
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. CoRR (2020)
César Laurent, Camille Ballas, Thomas George, Nicolas Ballas, Pascal Vincent
Revisiting Loss Modelling for Unstructured Pruning. CoRR (2020)
Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
A Closer Look at Codistillation for Distributed Training. CoRR (2020)
Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing
Proposal-Based Video Completion. ECCV (27) (2020)
Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. ICLR (Poster) (2019)
Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
Improved Conditional VRNNs for Video Prediction. CoRR (2019)
Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR (2019)
Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR (2019)
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
Stochastic Gradient Push for Distributed Deep Learning. ICML (2019)
Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
Improved Conditional VRNNs for Video Prediction. ICCV (2019)
Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS (2019)
Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. CoRR (2019)
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis. NeurIPS (2018)
Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
DNN's Sharpest Directions Along the SGD Trajectory. CoRR (2018)
Amy Zhang, Nicolas Ballas, Joelle Pineau
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. CoRR (2018)
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
Stochastic Gradient Push for Distributed Deep Learning. CoRR (2018)
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis. CoRR (2018)
Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. ICANN (3) (2018)
César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
An Evaluation of Fisher Approximations Beyond Kronecker Factorization. ICLR (Workshop) (2018)
Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
Residual Connections Encourage Iterative Inference. ICLR (Poster) (2018)
Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
Finding Flatter Minima with SGD. ICLR (Workshop) (2018)
Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
A Closer Look at Memorization in Deep Networks. ICML (2017)
Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
Residual Connections Encourage Iterative Inference. CoRR (2017)
David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville
Deep Nets Don't Learn via Memorization. ICLR (Workshop) (2017)
César Laurent, Nicolas Ballas, Pascal Vincent
Recurrent Normalization Propagation. ICLR (Workshop) (2017)
Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
A Closer Look at Memorization in Deep Networks. CoRR (2017)
Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal
A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. CVPR (2017)
Tim Cooijmans, Nicolas Ballas, César Laurent, Çaglar Gülçehre, Aaron C. Courville
Recurrent Batch Normalization. ICLR (Poster) (2017)
Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
Three Factors Influencing Minima in SGD. CoRR (2017)
David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. ICLR (Poster) (2017)
Tim Cooijmans, Nicolas Ballas, César Laurent, Aaron C. Courville
Recurrent Batch Normalization. CoRR (2016)
Tegan Maharaj, Nicolas Ballas, Aaron C. Courville, Christopher Joseph Pal
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering. CoRR (2016)
David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Aaron C. Courville, Chris Pal
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. CoRR (2016)
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
Dynamic Capacity Networks. ICML (2016)
Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio
Oracle Performance for Visual Captioning. BMVC (2016)
Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville
Delving Deeper into Convolutional Networks for Learning Video Representations. ICLR (Poster) (2016)
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
Theano: A Python framework for fast computation of mathematical expressions. CoRR (2016)
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
Dynamic Capacity Networks. CoRR (2015)
Alexandru-Lucian Gînsca, Adrian Popescu, Hervé Le Borgne, Nicolas Ballas, Phong Vo, Ioannis Kanellos
Large-Scale Image Mining with Flickr Groups. MMM (1) (2015)
Haoquan Shen, Yan Yan, Shicheng Xu, Nicolas Ballas, Wenzhi Chen
Evaluation of semi-supervised learning method on action recognition. Multim. Tools Appl. 74 (2) (2015)
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville
Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism. CoRR (2015)
Li Yao, Nicolas Ballas, KyungHyun Cho, John R. Smith, Yoshua Bengio
Trainable performance upper bounds for image and video captioning. CoRR (2015)
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio
FitNets: Hints for Thin Deep Nets. ICLR (Poster) (2015)
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
Describing Videos by Exploiting Temporal Structure. ICCV (2015)
Zhen-Zhong Lan, Yi Yang, Nicolas Ballas, Shoou-I Yu, Alexander G. Hauptmann
Resource Constrained Multimedia Event Detection. MMM (1) (2014)
Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
IRIM at TRECVID 2014: Semantic Indexing and Instance Search. TRECVID (2014)
Zhenzhong Lan, Lu Jiang, Shoou-I Yu, Chenqiang Gao, Shourabh Rawat, Yang Cai, Shicheng Xu, Haoquan Shen, Xuanchong Li, Yipei Wang, Waito Sze, Yan Yan, Zhigang Ma, Nicolas Ballas, Deyu Meng, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Alexander G. Hauptmann
Informedia@TRECVID 2013. TRECVID (2013)
Adrien Chan-Hon-Tong, Nicolas Ballas, Catherine Achard, Bertrand Delezoide, Laurent Lucat, Patrick Sayd, Françoise J. Prêteux
Skeleton Point Trajectories for Human Daily Activity Recognition. VISAPP (1) (2013)
Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Iván González-Díaz, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Thi-Thu-Thuy Vuong, Han Dong, Nadia Derbas, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. TRECVID (2013)
Nicolas Ballas, Yi Yang, Zhen-Zhong Lan, Bertrand Delezoide, Françoise J. Prêteux, Alexander G. Hauptmann
Space-Time Robust Representation for Action Recognition. ICCV (2013)
Nicolas Ballas, Bertrand Delezoide, Françoise J. Prêteux
Trajectory signature for action recognition in video. ACM Multimedia (2012)
Nicolas Ballas, Bertrand Delezoide, Françoise J. Prêteux
A new point process model for trajectory-based events annotation. Image Processing: Machine Vision Applications (2012)
Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Aymen Shabou
CEA LIST at TRECVID 2012 : Semantic Indexing and instance search. TRECVID (2012)
Adrian Popescu, Nicolas Ballas
CEA LIST's Participation at MediaEval 2012 Placing Task. MediaEval (2012)
Nicolas Ballas, Benjamin Labbé, Aymen Shabou, Hervé Le Borgne, Philippe Gosselin, Miriam Redi, Bernard Mérialdo, Hervé Jégou, Jonathan Delhumeau, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot, Hervé Bredin, Matthieu Cord, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat, Joseph Razik, Sébastion Paris, Hervé Glotin, Tran Ngoc Trung, Dijana Petrovska, Gérard Chollet, Andrei Stoian, Michel Crucianu
IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. TRECVID (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Ballas