Kandan Ramakrishnan
Kandan Ramakrishnan
Assistant Professor, Baylor College of medicine
bcm.edu üzerinde doğrulanmış e-posta adresine sahip
Alıntı yapanlar
Alıntı yapanlar
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
A robust two level classification algorithm for text localization in documents
R Kandan, NK Reddy, KR Arvind, AG Ramakrishnan
International Symposium on Visual Computing, 96-105, 2007
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
Multi-moments in time: Learning and interpreting models for multi-action video understanding
M Monfort, K Ramakrishnan, A Andonian, BA McNamara, A Lascelles, ...
arXiv preprint arXiv:1911.00232, 2019
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
Learning domain-specific feature descriptors for document images
K Ramakrishnan, E Bart
2012 10th IAPR International Workshop on Document Analysis Systems, 415-418, 2012
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
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
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
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
Nastransfer: Analyzing architecture transferability in large scale neural architecture search
R Panda, M Merler, M Jaiswal, H Wu, K Ramakrishnan, U Finkler, ...
arXiv preprint arXiv:2006.13314, 2020
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
Identifying Interpretable Action Concepts in Deep Networks.
K Ramakrishnan, M Monfort, BA McNamara, A Lascelles, D Gutfreund, ...
CVPR Workshops, 12-15, 2019
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
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
Mapping human visual representations by deep neural networks
K Ramakrishnan, HS Scholte, A Smeulders, S Ghebreab
Journal of Vision 16 (12), 373-373, 2016
A cognitively-aligned representational space for DNNs
K Ramakrishnan, Y Mohsenzadeh, M Monfort, A Oliva
Journal of Vision 19 (10), 61-61, 2019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20