Learning Domain-Specific Feature Descriptors for Document Images. - Kandan Ramakrishnan; Evgeniy Bart (Document Analysis Systems, 2012)

Visual dictionaries in the Brain: Comparing HMAX and BOW. - Kandan Ramakrishnan; Iris I. A. Groen; H. Steven Scholte; Arnold W. M. Smeulders; Sennay Ghebreab (ICME, 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)

Identifying Interpretable Action Concepts in Deep Networks. - Kandan Ramakrishnan; Mathew Monfort; Barry A. McNamara; Alex Lascelles; Dan Gutfreund; Rogério Schmidt Feris; Aude Oliva (CVPR Workshops, 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)

Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. - Kandan Ramakrishnan; Rameswar Panda; Quanfu Fan; John Henning; Aude Oliva; Rogério Feris (CVPR Workshops, 2020)

Large Scale Neural Architecture Search with Polyharmonic Splines. - Ulrich Finkler; Michele Merler; Rameswar Panda; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Chun-Fu Chen 001; Minsik Cho; David S. Kung 001; Rogério Feris; Bishwaranjan Bhattacharjee (CoRR, 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)

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. - Rameswar Panda; Michele Merler; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Ulrich Finkler; Chun-Fu (Richard) Chen; Minsik Cho; Rogério Feris; David S. Kung 001; Bishwaranjan Bhattacharjee (AAAI, 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 (CVPR, 2021)

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)

Generalization properties of contrastive world models. - Kandan Ramakrishnan; R. James Cotton; Xaq Pitkow; Andreas S. Tolias (CoRR, 2024)