Kandan Ramakrishnan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 13

Top Topics

Action Recognition

Knowledge Transfer

Neural Architecture

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias
Generalization properties of contrastive world models. CoRR (2024)
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) (2022)
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)
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)
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 (2020)
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 (2020)
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) (2020)
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)
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 (2020)
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 (2019)
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 (2019)
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)
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 (2018)
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 (2014)
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)
Kandan Ramakrishnan, Evgeniy Bart
Learning Domain-Specific Feature Descriptors for Document Images. Document Analysis Systems (2012)