Kandan Ramakrishnan
Kandan Ramakrishnan
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Moments in time dataset: one million videos for event understanding
M Monfort, A Andonian, B Zhou, K Ramakrishnan, SA Bargal, T Yan, ...
IEEE transactions on pattern analysis and machine intelligence 42 (2), 502-508, 2019
Deep analysis of cnn-based spatio-temporal representations for action recognition
CFR Chen, R Panda, K Ramakrishnan, R Feris, J Cohn, A Oliva, Q Fan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Multi-moments in time: Learning and interpreting models for multi-action video understanding
M Monfort, B Pan, K Ramakrishnan, A Andonian, BA McNamara, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9434 …, 2021
The algonauts project: A platform for communication between the sciences of biological and artificial intelligence
RM Cichy, G Roig, A Andonian, K Dwivedi, B Lahner, A Lascelles, ...
arXiv preprint arXiv:1905.05675, 2019
Visual pathways from the perspective of cost functions and multi-task deep neural networks
HS Scholte, MM Losch, K Ramakrishnan, EHF de Haan, SM Bohte
cortex 98, 249-261, 2018
A robust two level classification algorithm for text localization in documents
R Kandan, NK Reddy, KR Arvind, AG Ramakrishnan
Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake …, 2007
Learning domain-specific feature descriptors for document images
K Ramakrishnan, E Bart
2012 10th IAPR International Workshop on Document Analysis Systems, 415-418, 2012
Relationship matters: Relation guided knowledge transfer for incremental learning of object detectors
K Ramakrishnan, R Panda, Q Fan, J Henning, A Oliva, R Feris
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Visual dictionaries as intermediate features in the human brain
K Ramakrishnan, HS Scholte, IIA Groen, AWM Smeulders, S Ghebreab
Frontiers in computational neuroscience 8, 168, 2015
Convolutional neural networks in the brain: an fMRI study
K Ramakrishnan, S Scholte, V Lamme, A Smeulders, S Ghebreab
Journal of vision 15 (12), 371-371, 2015
Nastransfer: Analyzing architecture transferability in large scale neural architecture search
R Panda, M Merler, MS Jaiswal, H Wu, K Ramakrishnan, U Finkler, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9294-9302, 2021
Overlap in performance of CNN's, human behavior and EEG classification
N Seijdel, K Ramakrishnan, M Losch, S Scholte
Journal of Vision 16 (12), 501-501, 2016
Online character recognition using regression techniques
N Reddy, R Kandan, K Shashikiran, S Sundaram, AG Ramakrishnan
2008 IEEE Workshop on Applications of Computer Vision, 1-6, 2008
Localization of Handwritten text in Documents using moment invariants and Delaunay Triangulation
K Ramakrishnan, KR Arvind, AG Ramakrishnan
International Conference on Computational Intelligence and Multimedia …, 2007
others (2018). Moments in time dataset: one million videos for event understanding
M Monfort, B Zhou, SA Bargal, A Andonian, T Yan, K Ramakrishnan
arXiv preprint arXiv:1801.03150, 0
Identifying Interpretable Action Concepts in Deep Networks.
K Ramakrishnan, M Monfort, BA McNamara, A Lascelles, D Gutfreund, ...
CVPR Workshops, 12-15, 2019
Characterizing the temporal dynamics of object recognition by deep neural networks: role of depth
K Ramakrishnan, IIA Groen, AWM Smeulders, HS Scholte, S Ghebreab
bioRxiv, 178541, 2017
Visual dictionaries in the Brain: Comparing HMAX and BOW
K Ramakrishnan, IIA Groen, HS Scholte, AWM Smeulders, S Ghebreab
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
Large Scale Neural Architecture Search with Polyharmonic Splines
U Finkler, M Merler, R Panda, MS Jaiswal, H Wu, K Ramakrishnan, ...
arXiv preprint arXiv:2011.10608, 2020
Mapping human visual representations by deep neural networks
K Ramakrishnan, HS Scholte, A Smeulders, S Ghebreab
Journal of Vision 16 (12), 373-373, 2016
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