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ORCIDMohit Vaishnav
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2020 – today
- 2023
[c7]Mohit Vaishnav, Thomas Serre:
GAMR: A Guided Attention Model for (visual) Reasoning. ICLR 2023- [i5]Mohit Vaishnav:
PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture. CoRR abs/2306.14650 (2023) - 2022
- [j1]Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen
, Thomas Serre:
Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. 34(5): 1075-1099 (2022) - [c6]Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre:
A Benchmark for Compositional Visual Reasoning. NeurIPS 2022 - [i4]Mohit Vaishnav, Thomas Serre:
MAREO: Memory- and Attention- based visual REasOning. CoRR abs/2206.04928 (2022) - [i3]Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre:
A Benchmark for Compositional Visual Reasoning. CoRR abs/2206.05379 (2022) - [i2]Mohit Vaishnav, Thomas Fel, Ivan Felipe Rodríguez, Thomas Serre:
Conviformers: Convolutionally guided Vision Transformer. CoRR abs/2208.08900 (2022) - 2021
- [i1]Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre:
Understanding the computational demands underlying visual reasoning. CoRR abs/2108.03603 (2021)
2010 – 2019
- 2014
- [c5]Mohit Vaishnav, Binny Tewani, Anil Kumar Tiwari:
Residue Coding Technique for Video Compression. DCC 2014: 429 - [c4]Mohit Vaishnav, Anil Kumar Tiwari:
Bin Classification Using Temporal Gradient Estimation for Lossless Video Coding. DCC 2014: 430 - [c3]Mohit Vaishnav, Dinesh Kumar Chobey, Anil Kumar Tiwari:
Temporal Stationarity Based Prediction Method For Lossless Video Coding. ICVGIP 2014: 39:1-39:6 - 2013
- [c2]Dinesh Kumar Chobey, Mohit Vaishnav, Anil Kumar Tiwari:
An Optimal Switched Adaptive Prediction Method for Lossless Video Coding. DCC 2013: 481 - 2011
- [c1]Mohit Vaishnav, Ashwani Sharma, Anil Kumar Tiwari:
A Novel Computationally Efficient Motion Compensation Method Based on Pixel by Pixel Prediction. DCC 2011: 480
Coauthor Index
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