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ORCIDKandan Ramakrishnan
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2020 – today
- 2024
[i7]Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias:
Generalization properties of contrastive world models. CoRR abs/2401.00057 (2024)- 2022
- [j3]Mathew Monfort
, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9434-9445 (2022) - 2021
- [c6]Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 2021: 9294-9302 - [c5]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - 2020
- [j2]Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund:
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 502-508 (2020) - [c4]Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops 2020: 1009-1018 - [i6]Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR abs/2006.13314 (2020) - [i5]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020) - [i4]Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR abs/2011.10608 (2020)
2010 – 2019
- 2019
- [c3]Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops 2019: 12-15 - [i3]Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva:
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. CoRR abs/1905.05675 (2019) - [i2]Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR abs/1911.00232 (2019) - 2018
- [i1]Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva:
Moments in Time Dataset: one million videos for event understanding. CoRR abs/1801.03150 (2018) - 2014
- [j1]Kandan Ramakrishnan, H. Steven Scholte, Iris I. A. Groen, Arnold W. M. Smeulders, Sennay Ghebreab:
Visual dictionaries as intermediate features in the human brain. Frontiers Comput. Neurosci. 8: 168 (2014) - [c2]Kandan Ramakrishnan, Iris I. A. Groen, H. Steven Scholte, Arnold W. M. Smeulders, Sennay Ghebreab:
Visual dictionaries in the Brain: Comparing HMAX and BOW. ICME 2014: 1-6 - 2012
- [c1]Kandan Ramakrishnan, Evgeniy Bart:
Learning Domain-Specific Feature Descriptors for Document Images. Document Analysis Systems 2012: 415-418
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