We have one paper accepted to the Pattern Recognition Letters. The paper is “Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization” by Han-Mu Park and Kuk-Jin Yoon. [Publication Link]
Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking – Author: Seung-Hwan Bae, and Kuk-Jin Yoon – Published Date: March 2018 – Category: Tracking and Detection – Place of publication: IEEE Transactions on Pattern Analysis and Machine Intelligence Abstract Online multi-object tracking aims at estimating the tracks of multiple objects instantly with each incoming frame…
We have one paper accepted to the Sensors. The paper is “Calibration and Noise Identification of a Rolling Shutter Camera and a Low-cost Inertial Measurement Unit” by Chang-Ryeol Lee, Ju Hong Yoon, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the International Journal of Computer Vision (IJCV). The paper is “Structural Constraint Data Association for Online Multi-Object Tracking” by Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “Learning and selecting confidence measures for robust stereo matching” by Min-Gyu Park and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IEEE Transactions on Image Processing (2018). The paper is “PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification” by Yeong-Jun Cho and Kuk-Jin Yoon. [Publication Link]
Multi-attributed Graph Matching with Multi-layer Graph Structure and Multi-layer Random Walks– Author : Han-Mu Park and Kuk-Jin Yoon – Published Date : May 2018 – Category : Graph Matching – Place of publication : IEEE Transactions on Image Processing Abstract This paper addresses the multi-attributed graph matching problem, which considers multiple attributes jointly while preserving the characteristics of each…
The paper “Animal Detection in Huge Air-view images using CNN-based Sliding Window” by Young-Chul Yoon and Kuk-Jin Yoon won the best student paper award at International Workshop on Frontiers of Computer Vision (FCV 2018). [Publication Link]
Greedy Refinement of Object Proposals via Boundary-aligned Minimum Bounding Box Search– Author : Han-Mu Park, Dae-Yong Cho, and Kuk-Jin Yoon – Published Date : March 2018 – Category : Object detection – Place of publication : IET Computer Vision Abstract Recently developed object detectors rely on automatically generated object proposals, instead of using a dense sliding window search scheme; generating…
Animal Detection in Huge Air-view Images using CNN-based Sliding Window– Author : Young-Chul Yoon, Kuk-Jin Yoon – Published Date : TBD – Category : Object Detection, Object Classification – Place of publication : The International Workshop on Frontiers of Computer Vision (IW-FCV) Abstract Our work concentrates on detecting tiny animals in huge air-view images with competitive accuracy…
