Kandan Ramakrishnan

According to our database, Kandan Ramakrishnan authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalization properties of contrastive world models.

Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias

CoRR, 2024

2022

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.

Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition.

Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Moments in Time Dataset: One Million Videos for Event Understanding.

Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Large Scale Neural Architecture Search with Polyharmonic Splines.

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

CoRR, 2020

Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors.

Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence.

Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva

CoRR, 2019

Identifying Interpretable Action Concepts in Deep Networks.

Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2014

Visual dictionaries as intermediate features in the human brain.

Kandan Ramakrishnan, H. Steven Scholte, Iris I. A. Groen, Arnold W. M. Smeulders, Sennay Ghebreab

Frontiers Comput. Neurosci., 2014

Visual dictionaries in the Brain: Comparing HMAX and BOW.

Kandan Ramakrishnan, Iris I. A. Groen, H. Steven Scholte, Arnold W. M. Smeulders, Sennay Ghebreab

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2012

Learning Domain-Specific Feature Descriptors for Document Images.

Kandan Ramakrishnan, Evgeniy Bart

Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012