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Mohit Vaishnav
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Year
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
92022
A benchmark for compositional visual reasoning
A Zerroug, M Vaishnav, J Colin, S Musslick, T Serre
arXiv preprint arXiv:2206.05379, 2022
22022
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
22011
Bin classification using temporal gradient estimation for lossless video coding
M Vaishnav, AK Tiwari
2014 Data Compression Conference, 430-430, 2014
12014
An optimal switched adaptive prediction method for lossless video coding
DK Chobey, M Vaishnav, AK Tiwari
2013 Data Compression Conference, 481-481, 2013
12013
GAMR: A Guided Attention Model for (visual) Reasoning
M Vaishnav, T Serre
International Conference on Learning Representations, 2023
2023
Conviformers: Convolutionally guided Vision Transformer
M Vaishnav, T Fel, IF Rodrıguez, T Serre
arXiv preprint arXiv:2208.08900, 2022
2022
MAREO: Memory-and Attention-based visual REasOning
M Vaishnav, T Serre
arXiv preprint arXiv:2206.04928, 2022
2022
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
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Articles 1–10