Ig-Jae Kim

Person re-identification in indoor videos by information fusion using Graph Convolutional Networks

D. P. Dogra, S. Kar, Komal Soni, 2022, Expert Syst. Appl..

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

D. P. Dogra, Hee-seung Choi, Ig-Jae Kim, 2022, ArXiv.

Probabilistic Representations for Video Contrastive Learning

K. Sohn, Ig-Jae Kim, Jungin Park, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos

D. P. Dogra, Ig-Jae Kim, T. K. Vijay, 2023, IEEE Transactions on Intelligent Transportation Systems.

Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning

D. P. Dogra, Ig-Jae Kim, Haksub Kim, 2022, IEEE Transactions on Intelligent Transportation Systems.

Paper Title: A Benchmark Video Dataset for Rare Type Anomalies

D. P. Dogra, Ig-Jae Kim, Haksub Kim, 2023, Pattern Recognition.

MAIR: Multi-View Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation

Junghyun Cho, Haesol Park, Ig-Jae Kim, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

D. P. Dogra, N. Sharma, Ig-Jae Kim, 2022, Expert Syst. Appl..

Let’s Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach

D. P. Dogra, Ig-Jae Kim, Heeseung Choi, 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).