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ORCIDNicolas Ballas
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- affiliation: Mines ParisTech, France
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2020 – today
- 2024
[j2]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)- [c47]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. CVPR 2024: 14076-14088 - [c46]Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Stochastic positional embeddings improve masked image modeling. ICML 2024 - [c45]Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas:
Modeling Caption Diversity in Contrastive Vision-Language Pretraining. ICML 2024 - [c44]Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz:
Discovering Environments with XRM. ICML 2024 - [i42]Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun:
Learning and Leveraging World Models in Visual Representation Learning. CoRR abs/2403.00504 (2024) - [i41]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 abs/2404.08471 (2024) - [i40]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 abs/2405.00740 (2024) - [i39]Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha:
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. CoRR abs/2410.03478 (2024) - 2023
- [c43]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: 15619-15629 - [c42]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 - [c41]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 - [i38]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 abs/2301.08243 (2023) - [i37]Quentin Duval, Ishan Misra, Nicolas Ballas:
A Simple Recipe for Competitive Low-compute Self supervised Vision Models. CoRR abs/2301.09451 (2023) - [i36]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 abs/2304.05369 (2023) - [i35]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:
DINOv2: Learning Robust Visual Features without Supervision. CoRR abs/2304.07193 (2023) - [i34]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 abs/2308.00566 (2023) - [i33]Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz:
Discovering environments with XRM. CoRR abs/2309.16748 (2023) - [i32]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 abs/2312.12423 (2023) - 2022
- [c40]Rim Assouel, Lluís Castrejón, Aaron C. Courville, Nicolas Ballas, Yoshua Bengio:
VIM: Variational Independent Modules for Video Prediction. CLeaR 2022: 70-89 - [c39]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: 456-473 - [c38]Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Cascaded Video Generation for Videos In-the-Wild. ICPR 2022: 2385-2392 - [c37]Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas:
Neural Attentive Circuits. NeurIPS 2022 - [i31]Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR abs/2201.00072 (2022) - [i30]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 abs/2204.07141 (2022) - [i29]Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Cascaded Video Generation for Videos In-the-Wild. CoRR abs/2206.00735 (2022) - [i28]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 abs/2210.07277 (2022) - [i27]Nasim Rahaman, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas:
Neural Attentive Circuits. CoRR abs/2210.08031 (2022) - [i26]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 abs/2211.01866 (2022) - [i25]Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi:
Uniform Masking Prevails in Vision-Language Pretraining. CoRR abs/2212.05195 (2022) - 2021
- [c36]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: 8423-8432 - [i24]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 abs/2104.13963 (2021) - [i23]Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Hierarchical Video Generation for Complex Data. CoRR abs/2106.02719 (2021) - [i22]Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas:
Trade-offs of Local SGD at Scale: An Empirical Study. CoRR abs/2110.08133 (2021) - 2020
- [c35]Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing:
Proposal-Based Video Completion. ECCV (27) 2020: 38-54 - [c34]Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat:
Lookahead Converges to Stationary Points of Smooth Non-convex Functions. ICASSP 2020: 8604-8608 - [c33]Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat:
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. ICLR 2020 - [i21]Mahmoud Assran, Nicolas Ballas, Lluís Castrejón, Michael G. Rabbat:
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. CoRR abs/2006.10803 (2020) - [i20]César Laurent, Camille Ballas, Thomas George, Nicolas Ballas, Pascal Vincent:
Revisiting Loss Modelling for Unstructured Pruning. CoRR abs/2006.12279 (2020) - [i19]Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat:
A Closer Look at Codistillation for Distributed Training. CoRR abs/2010.02838 (2020)
2010 – 2019
- 2019
- [c32]Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Improved Conditional VRNNs for Video Prediction. ICCV 2019: 7607-7616 - [c31]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 - [c30]Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat:
Stochastic Gradient Push for Distributed Deep Learning. ICML 2019: 344-353 - [c29]Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat:
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS 2019: 13299-13309 - [i18]Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Improved Conditional VRNNs for Video Prediction. CoRR abs/1904.12165 (2019) - [i17]Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat:
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR abs/1906.04585 (2019) - [i16]Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal:
Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR abs/1908.06037 (2019) - [i15]Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat:
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. CoRR abs/1910.00643 (2019) - 2018
- [c28]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: 392-402 - [c27]Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio:
Residual Connections Encourage Iterative Inference. ICLR (Poster) 2018 - [c26]Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey:
Finding Flatter Minima with SGD. ICLR (Workshop) 2018 - [c25]César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent:
An Evaluation of Fisher Approximations Beyond Kronecker Factorization. ICLR (Workshop) 2018 - [c24]Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent:
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis. NeurIPS 2018: 9573-9583 - [i14]Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent:
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis. CoRR abs/1806.03884 (2018) - [i13]Amy Zhang, Nicolas Ballas, Joelle Pineau:
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. CoRR abs/1806.07937 (2018) - [i12]Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey:
DNN's Sharpest Directions Along the SGD Trajectory. CoRR abs/1807.05031 (2018) - [i11]Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat:
Stochastic Gradient Push for Distributed Deep Learning. CoRR abs/1811.10792 (2018) - 2017
- [c23]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: 7359-7368 - [c22]Tim Cooijmans, Nicolas Ballas, César Laurent, Çaglar Gülçehre, Aaron C. Courville:
Recurrent Batch Normalization. ICLR (Poster) 2017 - [c21]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 - [c20]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 - [c19]César Laurent, Nicolas Ballas, Pascal Vincent:
Recurrent Normalization Propagation. ICLR (Workshop) 2017 - [c18]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: 233-242 - [i10]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 abs/1706.05394 (2017) - [i9]Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio:
Residual Connections Encourage Iterative Inference. CoRR abs/1710.04773 (2017) - [i8]Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey:
Three Factors Influencing Minima in SGD. CoRR abs/1711.04623 (2017) - 2016
- [c17]Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio:
Oracle Performance for Visual Captioning. BMVC 2016 - [c16]Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville:
Dynamic Capacity Networks. ICML 2016: 2549-2558 - [c15]Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville:
Delving Deeper into Convolutional Networks for Learning Video Representations. ICLR (Poster) 2016 - [i7]Tim Cooijmans, Nicolas Ballas, César Laurent, Aaron C. Courville:
Recurrent Batch Normalization. CoRR abs/1603.09025 (2016) - [i6]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 abs/1605.02688 (2016) - [i5]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 abs/1606.01305 (2016) - [i4]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 abs/1611.07810 (2016) - 2015
- [j1]Haoquan Shen, Yan Yan, Shicheng Xu, Nicolas Ballas, Wenzhi Chen:
Evaluation of semi-supervised learning method on action recognition. Multim. Tools Appl. 74(2): 523-542 (2015) - [c14]Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville:
Describing Videos by Exploiting Temporal Structure. ICCV 2015: 4507-4515 - [c13]Alexandru-Lucian Gînsca, Adrian Popescu, Hervé Le Borgne, Nicolas Ballas, Phong Vo, Ioannis Kanellos:
Large-Scale Image Mining with Flickr Groups. MMM (1) 2015: 318-334 - [c12]Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio:
FitNets: Hints for Thin Deep Nets. ICLR (Poster) 2015 - [i3]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 abs/1502.08029 (2015) - [i2]Li Yao, Nicolas Ballas, KyungHyun Cho, John R. Smith, Yoshua Bengio:
Trainable performance upper bounds for image and video captioning. CoRR abs/1511.04590 (2015) - [i1]Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville:
Dynamic Capacity Networks. CoRR abs/1511.07838 (2015) - 2014
- [c11]Zhen-Zhong Lan, Yi Yang, Nicolas Ballas, Shoou-I Yu, Alexander G. Hauptmann:
Resource Constrained Multimedia Event Detection. MMM (1) 2014: 388-399 - [c10]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 - 2013
- [b1]Nicolas Ballas:
Modélisation de contextes pour l'annotation sémantique de vidéos. (Context based modeling for video semantic annotation). Mines ParisTech, France, 2013 - [c9]Nicolas Ballas, Yi Yang, Zhen-Zhong Lan, Bertrand Delezoide, Françoise J. Prêteux, Alexander G. Hauptmann:
Space-Time Robust Representation for Action Recognition. ICCV 2013: 2704-2711 - [c8]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 - [c7]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 - [c6]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: 520-529 - 2012
- [c5]Nicolas Ballas, Bertrand Delezoide, Françoise J. Prêteux:
A new point process model for trajectory-based events annotation. Image Processing: Machine Vision Applications 2012: 83000B - [c4]Adrian Popescu, Nicolas Ballas:
CEA LIST's Participation at MediaEval 2012 Placing Task. MediaEval 2012 - [c3]Nicolas Ballas, Bertrand Delezoide, Françoise J. Prêteux:
Trajectory signature for action recognition in video. ACM Multimedia 2012: 1429-1432 - [c2]Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Aymen Shabou:
CEA LIST at TRECVID 2012 : Semantic Indexing and instance search. TRECVID 2012 - [c1]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
Coauthor Index
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