A benchmark for compositional visual reasoning A Zerroug, M Vaishnav, J Colin, S Musslick, T Serre Neural Information Processing Systems (NeurIPS) - Datasets and Benchmarks Track, 2022 | 23 | 2022 |
Understanding the computational demands underlying visual reasoning M Vaishnav, R Cadene, A Alamia, D Linsley, R VanRullen, T Serre Neural Computation 34 (5), 1075-1099, 2022 | 19 | 2022 |
GAMR: A Guided Attention Model for (visual) Reasoning M Vaishnav, T Serre International Conference on Learning Representations, 2023 | 18 | 2023 |
Conviformers: Convolutionally guided vision transformer M Vaishnav, T Fel, IF Rodríguez, T Serre arXiv preprint arXiv:2208.08900, 2022 | 3 | 2022 |
A novel computationally efficient motion compensation method based on pixel by pixel prediction M Vaishnav, A Sharma, AK Tiwari 2011 Data Compression Conference, 480-480, 2011 | 2 | 2011 |
Bin classification using temporal gradient estimation for lossless video coding M Vaishnav, AK Tiwari 2014 Data Compression Conference, 430-430, 2014 | 1 | 2014 |
An optimal switched adaptive prediction method for lossless video coding DK Chobey, M Vaishnav, AK Tiwari 2013 Data Compression Conference, 481-481, 2013 | 1 | 2013 |
PhD Thesis: Exploring the role of (self-) attention in cognitive and computer vision architecture M Vaishnav arXiv preprint arXiv:2306.14650, 2023 | | 2023 |
Exploring the role of (self-) attention in cognitive and computer vision architecture M Vaishnav Université Paul Sabatier-Toulouse III, 2023 | | 2023 |
Temporal Stationarity Based Prediction Method For Lossless Video Coding M Vaishnav, DK Chobey, AK Tiwari Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014 | | 2014 |
Residue coding technique for video compression M Vaishnav, B Tewani, AK Tiwari 2014 Data Compression Conference, 429-429, 2014 | | 2014 |