Kandan Ramakrishnan

16 papers A* 2A 1B 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Generalization properties of contrastive world models.
CoRR
Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias
2022 J jnl
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2021 A* conf
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition.
CVPR
Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2021 A* conf
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.
AAAI
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
2020 J jnl
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition.
CoRR
Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2020 J jnl
Large Scale Neural Architecture Search with Polyharmonic Splines.
CoRR
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
2020 J jnl
Moments in Time Dataset: One Million Videos for Event Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund
2020 J jnl
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.
CoRR
Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020 — conf
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors.
CVPR Workshops
Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris
2019 — conf
Identifying Interpretable Action Concepts in Deep Networks.
CVPR Workshops
Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2019 J jnl
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.
CoRR
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2019 J jnl
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence.
CoRR
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva
2018 J jnl
Moments in Time Dataset: one million videos for event understanding.
CoRR
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva
2014 J jnl
Visual dictionaries as intermediate features in the human brain.
Frontiers Comput. Neurosci.
Kandan Ramakrishnan, H. Steven Scholte, Iris I. A. Groen, Arnold W. M. Smeulders, Sennay Ghebreab
2014 A conf
Visual dictionaries in the Brain: Comparing HMAX and BOW.
ICME
Kandan Ramakrishnan, Iris I. A. Groen, H. Steven Scholte, Arnold W. M. Smeulders, Sennay Ghebreab
2012 B conf
Learning Domain-Specific Feature Descriptors for Document Images.
Document Analysis Systems
Kandan Ramakrishnan, Evgeniy Bart