Thakare Kamalakar Vijay

According to our database, Thakare Kamalakar Vijay authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

IMPACT: Interpretable Most Important Person Analysis and Classification using Transformer-based Models.

Akshat Rampuria, Kamakshya Prasad Nayak, Kamalakar Vijay Thakare, Tushar Joshi, Aditya Dhananjay Singh, Haesol Park, Heeseung Choi, Hyungjoo Jung, Debi Prosad Dogra, Ig-Jae Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

VAST-ReID: A Low-Light Benchmark Dataset for Person Re-Identification with Visual and Attribute-Rich Semantic Tracking.

Hammad Khan, Rakesh Kumar Giri, Kamalakar Vijay Thakare, Heeseung Choi, Hyungjoo Jung, Debi Prosad Dogra, Ig-Jae Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Group Emotion Recognition Explained! A Human-Centric Approach Using Multi-Modal VGER Dataset and Framework.

Harinadh Sivaramakrishna Patamsetti, Kamakshya Prasad Nayak, Kamalakar Vijay Thakare, Debi Prosad Dogra, Heeseung Choi, Haesol Park, Ig-Jae Kim

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

PairAnom: A Benchmark Dataset for Pairwise Fine-Grained Multi-Class Video Anomaly Detection.

Brajesh Kumar Kaushik, Kamakshya Prasad Nayak, Kamalakar Vijay Thakare, Priti Pal, Manvendra Singh, Debi Prosad Dogra

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Can Person-Level Attributes Improve Group Re-Identification?

Kamakshya Prasad Nayak, Kamalakar Vijay Thakare, Ashesh Xalxo, Lalit Lohani, Debi Prosad Dogra

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Pedestrian Attribute Recognition Using Hierarchical Transformers.

Lalit Lohani, Kamalakar Vijay Thakare, Kamakshya Prasad Nayak, Debi Prosad Dogra, Heeseung Choi, Hyungjoo Jung, Ig-Jae Kim

Proceedings of the Pattern Recognition - 27th International Conference, 2024

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., August, 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., February, 2023

DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network.

Kamalakar Vijay Thakare, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection.

Kamalakar Vijay Thakare, Nitin Sharma, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim

Expert Syst. Appl., 2022

2021

PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos.

Shreetam Behera, Thakare Kamalakar Vijay, H. Manish Kausik, Debi Prosad Dogra

Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021