Srikanth Muralidharan
Srikanth Muralidharan
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A hierarchical deep temporal model for group activity recognition
MS Ibrahim, S Muralidharan, Z Deng, A Vahdat, G Mori
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Deep structured models for group activity recognition
Z Deng, M Zhai, L Chen, Y Liu, S Muralidharan, MJ Roshtkhari, G Mori
arXiv preprint arXiv:1506.04191, 2015
Fine-pruning: Joint fine-tuning and compression of a convolutional network with Bayesian optimization
F Tung, S Muralidharan, G Mori
arXiv preprint arXiv:1707.09102, 2017
Dynamic scene classification using spatial and temporal cues
A Vasudevan, S Muralidharan, S Chintapalli, S Raman
Proceedings of the IEEE International Conference on Computer Vision …, 2013
Neural network image search
G Mori, T Fred, S Muralidharan
US Patent App. 16/586,204, 2020
Unsupervised learning of supervoxel embeddings for video segmentation
M Khodabandeh, S Muralidharan, A Vahdat, N Mehrasa, EM Pereira, ...
2016 23rd International Conference on Pattern Recognition (ICPR), 2392-2397, 2016
A novel approach to the extraction of multiple salient objects in an image
S Muralidharan, AB Vasudevan, CS Pratheek, S Raman
2015 IEEE International Conference on Signal Processing, Informatics …, 2015
Motion characterization of a dynamic scene
AB Vasudevan, S Muralidharan, SP Chintapalli, S Raman
2014 International Conference on Computer Vision Theory and Applications …, 2014
Class Semantics-based Attention for Action Detection
D Sridhar, N Quader, S Muralidharan, Y Li, P Dai, J Lu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Multi-person video understanding with deep neural networks
S Muralidharan
Simon Fraser University, 2020
Memory Augmented Recurrent Neural Networks for Dense Video Captioning
S Muralidharan, F Tung, G Mori
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