[Semantic Understanding] Debaditya Roy, Dhruv Verma, and Basura Fernando. ”Effectively Leveraging CLIP for Generating Situational Summaries of Images and Videos” International Journal of Computer Vision, Springer (accepted)
[NeuroSymoblic AI, Predictive Robotics] Ramanathan Rajendiran, Debaditya Roy, and Basura Fernando, "Learning to Generate Long-term Future Narrations Describing Activities of Daily Living" arXiv preprint arXiv:2503.01416
[Federated Learning] Sourasekhar Banerjee, Debaditya Roy, Vigneshwaran Subbaraju, Monowar Bhuyan, "Predicting Event Memorability using Personalized Federated Learning" WACV 2025
[NeuroSymoblic AI] Shantanu Jaiswal, Debaditya Roy, Basura Fernando, and Cheston Tan, "Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios", NeurIPS 2024
[NeuroSymoblic AI, Predictive Robotics] Debaditya Roy, and Basura Fernando, "Predicting the Next Action by Modeling the Abstract Goal" accepted at International Conference on Pattern Recognition (ICPR 2024). Ranked 1 on EK55 Action Anticipation
[Autonomous Driving] K. Naveen Kumar, Debaditya Roy, Thakur Ashutosh Suman, Chalavadi Vishnu, C Krishna Mohan, "TSANet:Forecasting Traffic Congestion Patterns from Aerial Videos using Graphs and Transformers", Pattern Recognition, Elsevier (accepted) (impact factor: 7.196)
Debaditya Roy, Dinesh Singh, Chalavadi Vishnu, Chalavadi Krishna Mohan, "Method and system for crime event detection in surveillance videos", Indian Patent Office, Patent no. 516052, Application no. 201741041239
[Semantic Understanding] Debaditya Roy, Dhruv Verma, and Basura Fernando. ”ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition.” [pdf] IEEE WACV 2024
[Predictive Robotics, Human Behavior Understanding] Debaditya Roy, Ramanathan Rajendiran, and Basura Fernando, "Interaction Visual Transformer for Egocentric Action Anticipation", [pdf] Ranked 1 on EK100 Action Anticipation WACV 2024
[Human Behavior Understanding] Ramanathan Rajendiran, Debaditya Roy, and Basura Fernando, "Modelling Spatio-Temporal Interactions for Compositional Action Recognition", [pdf] arXiv preprint arXiv:2305.02673
[NeuroSymoblic AI, Predictive Robotics, Human Behavior Understanding] Debaditya Roy, and Basura Fernando, "Predicting the Next Action by Modeling the Abstract Goal", [pdf] Ranked 1 on EK55 Action Anticipation
[Autonomous Driving] Vishnu, Chalavadi, Vineel Abhinav, Debaditya Roy, C. Krishna Mohan, and Ch Sobhan Babu. "Improving multi-agent trajectory prediction using traffic states on interactive driving scenarios." IEEE Robotics and Automation Letters 8, no. 5 (2023): 2708-2715. (impact factor: 4.321) [pdf]
Chalavadi Krishna Mohan, Dinesh Singh, Chalavadi Vishnu, Debaditya Roy, "A method and system for real-time detection of traffic violation by two-wheeled riders", Indian Patent Office, Patent no. 414669, Application no. 201741038813
Dinesh Singh, Chalavadi Vishnu, Debaditya Roy, Chalavadi Krishna Mohan, "Method and system for detection of accident in traffic surveillance video", Indian Patent Office, Patent no. 410755, Application no. 201841003604
[Predictive Robotics, Human Behavior Understanding] Siyuan Brandon Loh, Debaditya Roy, and Basura Fernando, "Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural Networks", IEEE CVPR 2022: 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)[pdf]
[Predictive Robotics, Human Behavior Understanding] Debaditya Roy, and Basura Fernando, "Action anticipation using latent goal learning", IEEE Winter Conference on Applications of Computer Vision (WACV), 2022 [pdf][poster][video][code]
[Predictive Robotics, Human Behavior Understanding] Debaditya Roy, and Basura Fernando, "Action Anticipation using Pairwise Human-Object Interactions and Transformers", IEEE Transactions on Image Processing (TIP), pp. 8116 - 8129, Sep. 2021 (impact factor: 10.856)[pdf]
[Predictive Robotics, Human Behavior Understanding] Chalavadi Vishnu, Rajesh Reddy Datla, Debaditya Roy, C. Krishna Mohan, Ch. Sobhan Babu, "Human fall detection in surveillance videos using fall motion vector modeling", IEEE Sensors Journal, May 2021 (accepted) (impact factor: 3.076)[pdf]
[Human Behavior Understanding] Vinoj Jayasundara, Debaditya Roy, and Basura Fernando, "FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition", IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 [pdf]
Debaditya Roy, Tetsuhiro Ishizaka, C. Krishna Mohan, and Atsushi Fukuda, ''Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM", IEEE Transactions on Intelligent Transportation Systems (T-ITS), pp. 1-11, Oct. 2020. (impact factor: 6.319)[pdf]
Nazil Perveen, Debaditya Roy, and C. Krishna Mohan, "Facial Expression Recognition in Videos using Dynamic Kernels", IEEE Transactions on Image Processing (TIP) vol. 29, pp. 8316-8325, 2020. (impact factor: 6.790)[pdf]
[Medical Imaging]Inayathullah Ghori, Debaditya Roy, Renu John, and C. Krishna Mohan, "Echocardiogram Analysis using Motion Profile Modeling'', IEEE Transactions on Medical Imaging (TMI). vol. 39, issue 5, pp. 1767-1774, May 2020. (impact factor: 7.816) [pdf]
[Autonomous Driving] Debaditya Roy, K. Naveen Kumar, and C. Krishna Mohan, "Defining Traffic States using Spatio-temporal Traffic Graphs", IEEE Intelligent Transportation Systems Conference (ITSC), pp.1-6, 2020 [pdf]
[Human Behavior Understanding] Debaditya Roy, K. Sri Rama Murty, and C. Krishna Mohan. "Unsupervised Universal Attribute Modelling for Action Recognition", IEEE Transactions on Multimedia (TMM). vol. 21, no. 7, pp. 1672-1680, Jul. 2019. (impact factor: 5.452) [pdf] [code]
[Autonomous Driving] Debaditya Roy, Tetsuhiro Ishizaka, Atsushi Fukuda, and C. Krishna Mohan, "Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks'', IEEE Intelligent Transportation Systems Conference (ITSC), pp.2318-2323, 2019. [pdf]
[Human Behavior Understanding] Nazil Perveen, Debaditya Roy, and C. Krishna Mohan. "Spontaneous Expression Recognition using Universal Attribute Model", IEEE Transactions on Image Processing (TIP). vol. 27, no. 11, pp. 5575-5584, Nov. 2018.(impact factor: 5.071) [pdf]
[Human Behavior Understanding] Debaditya Roy and C. Krishna Mohan. "Snatch Theft Detection in Unconstrained Surveillance Videos Using Action Attribute Modeling'', Pattern Recognition Letters, Elsevier, vol. 108, pp. 56-61, Mar. 2018. (impact factor: 2.810) [pdf]
[Motion Tracking] Debaditya Roy, Gaddam Sreedatta Sanjay Bharath, Mani Kumar T., and C. Krishna Mohan. "Tracking rapid body deformation using sparse representation of deep features." 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP). Association for Computing Machinery, Article 70, pp. 1–7. Dec. 2018 [pdf]
[Human Behavior Understanding] Debaditya Roy, K. Sri Rama Murty and C. Krishna Mohan, "Action Recognition based on discriminative embedding of actions using Siamese networks", IEEE International Conference on Image Processing (ICIP), pp. 3473-3477, 2018.
[Distributed Learning] Dinesh Singh, Debaditya Roy, and C. Krishna Mohan. "DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data'', IEEE Transactions on Big Data, vol. 3, no. 1, pp. 79-90, Mar. 2017. (impact factor: 5.67) [pdf]
[Human Behavior Understanding] Debaditya Roy, K. Sri Rama Murty and C. Krishna Mohan, "Action-vectors: Unsupervised movement modeling for action recognition,", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1602-1606, Mar. 2017.
[Human Behavior Understanding] Debaditya Roy, M. Srinivas, and C. Krishna Mohan. "Sparsity-inducing Dictionaries for Effective Action Classification'', Pattern Recognition, Elsevier, vol. 59, pp. 55-62, Nov. 2016.(impact factor: 5.898) [pdf]
M. Srinivas, Debaditya Roy and C. Krishna Mohan. "Discriminative Feature Extraction from X-ray Images using Deep Convolutional Neural Networks'', IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 917-921, Mar. 2016.
Debaditya Roy, K. Sri Rama Murty and C. Krishna Mohan. "Feature selection using deep neural networks'', International Joint Conference on Neural Networks (IJCNN), pp. 1-7, Jul. 2015. IEEE.
Debaditya Roy, M. Srinivas and C. Krishna Mohan. ``Sparsifying Dense Features for Action Recognition'', International Conference on Perception and Machine Intelligence (PerMIn'15), pp. 211-217, Feb. 2015. ACM ICPS.
Debaditya Roy, M. Srinivas and C. Krishna Mohan. ``Sparsifying Dense Features for Action Recognition'', Xerox Research Centre India Research Symposium (XRCI Open 2015), Jan. 2015
Srinivas, M., Roy, D., & Mohan, C. K. (2014, August). ``Learning sparse dictionaries for music and speech classification." International Conference on Digital Signal Processing (DSP), pp. 673-675, 2014. IEEE.
Srinivas, M., Roy, D., & Mohan, C. K. (2014, July). ``Music genre classification using On-line Dictionary Learning." International Joint Conference onNeural Networks (IJCNN), pp. 1937-1941, 2014. IEEE.