|Tushar Sandhan and Jin Young Choi, "Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal", CVPR2017|
|Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, and Jin Young Choi, "Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold", CVPR2017|
|Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi, "Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning", CVPR2017 (accepted)|
|Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi, "Attentional Correlation Filter Network for Adaptive Visual Tracking", CVPR2017 (accepted)|
|YoungJoon Yoo, Kimin Yun, Sangdoo Yun, JongHee Hong, Hawook Jeong and Jin Young Choi, "Visual Path Prediction in Complex Scenes with Crowded Moving Objects", CVPR 2016|
The goal of the PILab is to gain useful technologies on perception and intelligence which can be applied to visual surveillance systems, inspection machines, robots, etc.
We are developing perceptual primitives to detect, track, and recognize human/vehicles, faces and to understand abnormal behaviors and situations through visual information. In addition, we are developing incremental learning models including probabilistic learning machines for integrating multiple sensory modalities in the changing environments.
|Computer vision journal list 2015|
|Computer Vision journal list|