https://sgvr.kaist.ac.kr/publication/part-based-pseudo-label-refinement-for-unsupervised-person-re-identification/
TopIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
https://sgvr.kaist.ac.kr/publication/deep-video-inpainting-guided-by-audio-visual-self-supervision-2/
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
https://sgvr.kaist.ac.kr/publication/bmvc2021-in-n-out/
British Machine Vision Conference (BMVC), 2021
Abstract In computer vision, recovering spatial information by filling in masked regions, e.g., inpainting, has been widely investigated for its usability and wide applicability to other various applications: image inpainting, … Continue reading "In-N-Out: Towards Good Initialization for Inpainting and Outpainting"
https://sgvr.kaist.ac.kr/publication/hypergraph-propagation-and-community-selection-for-objects-retrieval/
Top35th Conference on Neural Information Processing Systems (NeurIPS), 2021
https://sgvr.kaist.ac.kr/publication/unsupsimflow/
TopEuropean Conference on Computer Vision (ECCV), 2020
https://sgvr.kaist.ac.kr/publication/single-image-reflection-removal-with-physically-based-training-images/
TopComputer Vision and Pattern Recognition (CVPR), 2020
Oral paper
https://sgvr.kaist.ac.kr/publication/real-time-3-d-mapping-with-estimating-acoustic-materials/
IEEE/SICE International Symposium on System Integration (SII), 2020
https://sgvr.kaist.ac.kr/publication/an-objectness-score-for-accurate-and-fast-detection-during-navigation/
The World Congress on Advances in Nano, Bio, Robotics and Energy (ANBRE), 2019
https://sgvr.kaist.ac.kr/publication/coarse-to-fine-clothing-image-generation-with-progressively-constructed-conditional-gan/
International Conference on Computer Vision Theory and Application (VISAPP), 2019
https://sgvr.kaist.ac.kr/publication/accv2018-age-estimation/
Asian Conference on Computer Vision (ACCV), 2018
Source code: ZIP file
Github page
[pdf] Korea Advanced Institute of Science and Technology (KAIST) Figure 1. Overall network framework of our method. In the bottleneck layer, we apply the adaptive triplet ranking strategy (L_T : … Continue reading "ACCV2018 Age Estimation"
https://sgvr.kaist.ac.kr/publication/distance-encoded-product-quantization-for-approximate-k-nearest-neighbor-search-in-high-dimensional-space/
IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2018
https://sgvr.kaist.ac.kr/news/2018/271/
JaeYoon attended BMVC 18 and presented his work on image search with an attention module. This work was done as part of NAVER project.
https://sgvr.kaist.ac.kr/publication/regional-attention-based-deep-feature-for-image-retrieval/
British Machine Vision Conference(BMVC), 2018
Source code: ZIP file,
Github page
https://sgvr.kaist.ac.kr/publication/image-completion-with-intrinsic-reflectance-guidance/
British Machine Vision Conference(BMVC), 2017
Source code: ZIP file,
Github page
https://sgvr.kaist.ac.kr/publication/rank-based-voting-with-inclusion-relationship-for-accurate-image-search/
CGI 2017 and a special issue of Journal The Visual Computer(TVC), 2017
Source code: ZIP file, Github page