Suman Saha

Orcid: 0000-0001-6667-3986

Affiliations:
  • ETH Zurich, Switzerland
  • Oxford Brookes University, UK (PhD 2018)


According to our database1, Suman Saha authored at least 20 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
ROAD: The Road Event Awareness Dataset for Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding.
CoRR, 2023

Spatio-Temporal Action Detection Under Large Motion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Two-Stream AMTnet for Action Detection.
CoRR, 2020

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference.
Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Spatio-temporal human action detection and instance segmentation in videos.
PhD thesis, 2018

Action Detection from a Robot-Car Perspective.
CoRR, 2018

Predicting Action Tubes.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Incremental Tube Construction for Human Action Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

TraMNet - Transition Matrix Network for Efficient Action Tube Proposals.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos.
CoRR, 2017

Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos.
Proceedings of the British Machine Vision Conference 2016, 2016


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