Swathikiran Sudhakaran

Orcid: 0000-0002-7261-3581

According to our database1, Swathikiran Sudhakaran authored at least 21 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2023
Gate-Shift-Fuse for Video Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Learning to Recognize Actions on Objects in Egocentric Video With Attention Dictionaries.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

2022
Relevance-based Margin for Contrastively-trained Video Retrieval Models.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021
SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021.
CoRR, 2021

Space-time Mixing Attention for Video Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
FBK-HUPBA Submission to the EPIC-Kitchens Action Recognition 2020 Challenge.
CoRR, 2020

Gate-Shift Networks for Video Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Neural Architectures for Video Representation Learning.
PhD thesis, 2019

Top-down attention recurrent VLAD encoding for action recognition in videos.
Intelligenza Artificiale, 2019

An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective.
CoRR, 2019

FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge.
CoRR, 2019

Hierarchical Feature Aggregation Networks for Video Action Recognition.
CoRR, 2019

Semantic Guided Deep Unsupervised Image Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

LSTA: Long Short-Term Attention for Egocentric Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Learning to detect violent videos using convolutional long short-term memory.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Low Resolution Sparse Binary Face Patterns.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2015
Sparse distributed localized gradient fused features of objects.
Pattern Recognit., 2015

Activity detection with dendrite threshold model.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014
Ancient indian document analysis using cognitive memory network.
Proceedings of the 2014 International Conference on Advances in Computing, 2014


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