Debaditya Roy

Orcid: 0000-0002-8779-1241

According to our database1, Debaditya Roy authored at least 36 papers between 2014 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Interaction Region Visual Transformer for Egocentric Action Anticipation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Correction to "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios".
IEEE Robotics Autom. Lett., November, 2023

Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios.
IEEE Robotics Autom. Lett., May, 2023

ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition.
CoRR, 2023

Modelling Spatio-Temporal Interactions for Compositional Action Recognition.
CoRR, 2023

Classifying falls using out-of-distribution detection in human activity recognition.
AI Commun., 2023

Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Temporal Differential Privacy for Human Activity Recognition.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM.
IEEE Trans. Intell. Transp. Syst., 2022

Interaction Visual Transformer for Egocentric Action Anticipation.
CoRR, 2022

Predicting the Next Action by Modeling the Abstract Goal.
CoRR, 2022

Action anticipation using latent goal learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Out-of-distribution in Human Activity Recognition.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Mixing temporal experts for Human Activity Recognition.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Action Anticipation Using Pairwise Human-Object Interactions and Transformers.
IEEE Trans. Image Process., 2021

Confidence-Calibrated Human Activity Recognition.
Sensors, 2021

FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Echocardiogram Analysis Using Motion Profile Modeling.
IEEE Trans. Medical Imaging, 2020

Facial Expression Recognition in Videos Using Dynamic Kernels.
IEEE Trans. Image Process., 2020

Defining Traffic States using Spatio-temporal Traffic Graphs.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Unsupervised Universal Attribute Modeling for Action Recognition.
IEEE Trans. Multim., 2019

Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Spontaneous Expression Recognition Using Universal Attribute Model.
IEEE Trans. Image Process., 2018

Snatch theft detection in unconstrained surveillance videos using action attribute modelling.
Pattern Recognit. Lett., 2018

Tracking rapid body deformation using sparse representation of deep features.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data.
IEEE Trans. Big Data, 2017

MEC-ConPaaS: An Experimental Single-Board Based Mobile Edge Cloud.
Proceedings of the 5th IEEE International Conference on Mobile Cloud Computing, 2017

Action-vectors: Unsupervised movement modeling for action recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Sparsity-inducing dictionaries for effective action classification.
Pattern Recognit., 2016

Discriminative feature extraction from X-ray images using deep convolutional neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Sparsifying Dense Features for Action Classification.
Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Feature selection using Deep Neural Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Music genre classification using On-line Dictionary Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Learning sparse dictionaries for music and speech classification.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014


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