PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos. - Shreetam Behera; Thakare Kamalakar Vijay; H. Manish Kausik; Debi Prosad Dogra (AVSS, 2021)

A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection. - Kamalakar Vijay Thakare; Nitin Sharma 004; Debi Prosad Dogra; Heeseung Choi; Ig-Jae Kim (Expert Syst. Appl., 2022)

Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning. - Kamalakar Vijay Thakare; Debi Prosad Dogra; Heeseung Choi; Haksub Kim; Ig-Jae Kim (IEEE Trans. Intell. Transp. Syst., 2022)

DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network. - Kamalakar Vijay Thakare; Yash Raghuwanshi; Debi Prosad Dogra; Heeseung Choi; Ig-Jae Kim (WACV, 2023)

Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos. - Thakare Kamalakar Vijay; Debi Prosad Dogra; Heeseung Choi; Gi Pyo Nam; Ig-Jae Kim (IEEE Trans. Intell. Transp. Syst., 2023)

RareAnom: A Benchmark Video Dataset for Rare Type Anomalies. - Kamalakar Vijay Thakare; Debi Prosad Dogra; Heeseung Choi; Haksub Kim; Ig-Jae Kim (Pattern Recognit., 2023)

Pedestrian Attribute Recognition Using Hierarchical Transformers. - Lalit Lohani; Kamalakar Vijay Thakare; Kamakshya Prasad Nayak; Debi Prosad Dogra; Heeseung Choi; Hyungjoo Jung; Ig-Jae Kim (ICPR (16), 2024)

Unsupervised Annotation and Detection of Novel Objects Using Known Objectness. - Harsh Singh Jadon; Jagdish Deshmukh; Kamakshya Prasad Nayak; Kamalakar Vijay Thakare; Debi Prosad Dogra (VISIGRAPP (2): VISAPP, 2024)

Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach. - Kamalakar Vijay Thakare; Debi Prosad Dogra; Heeseung Choi; Haksub Kim; Ig-Jae Kim (WACV, 2024)

CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition. - Kamalakar Vijay Thakare; Lalit Lohani; Kamakshya Prasad Nayak; Debi Prosad Dogra; Heeseung Choi; Hyungjoo Jung; Ig-Jae Kim (WACV, 2025)