Byeong-Ju Han, Kuhyeun Ko and Jae-Young Sim, “End-to-End Trident Network for Person Search Using Adaptive Gradient Propagation”. Byeong-Ju and Kuhyeun, Congratulations!

Eunsung Jo and Jae-Young Sim, “Multi-Scale Selective Residual Learning for Non-Homogeneous Dehazing”. Eunsung, Congratulations!

Eunpil Park and Jae-Young Sim, “Underwater Image Restoration Using Geodesic Color Distance and Complete Image Formation Model”. Eunpil, Congratulations!

Kyu-Yul Lee and Jae-Young Sim, “Warping Residual Based Image Stitching for Large Parallax”. Kyu-Yul, Congratulations!

We publicly release a new UNIST LS3DPC dataset used in our papers. The associated paper is accecpted to IEEE Transactions on Pattern Analysis and Machine Intelligence. The dataset can be downloaded here.

Byeong-Ju Han and Jae-Young Sim, “Single Image Reflection Removal Using Non-Linearly Synthesized Glass Images and Semantic Context”. Byeong-Ju, Congratulations!

Byeong-Ju Han is selected for the program, “High-Potential Individuals Global Training” organized by Institute for Informational & Communications Technology Planning & Evaluation(IITP) under the Ministry of Science and ICT (MSIT) in Korea. He will conduct the training program for 6 months at Carnegie Mellon University in Pittsburgh including artificial Intelligence, machine learning, NLP, and computer vision.

Jae-Seong Yun and Jae-Young Sim, “Virtual Point Removal for Large-Scale 3D Point Clouds With Multiple Glass Planes”. Jae-Seong, Congratulations!

Kyu-Yul Lee and Jae-Young Sim, “Cloud Removal of Satellite Images Using Convolutional Neural Network with Reliable Cloud Image Synthesis Model”. Jae-Seong Yun and Jae-Young Sim, “Cluster-wise removal of reflection artifacts in large-scale 3D point clouds using superpixel-based glass region estimation”. Kyu-Yul and Jae-Seong, Congratulations!

VIP Lab. welcomes the new research intern KuHyeun Ko. (2019/04/01)