Generalizable Person Re-identification via Balancing Alignment and Uniformity
https://sgvr.kaist.ac.kr/publication/generalizable-person-re-identification-via-balancing-alignment-and-uniformity/
Yoonki Cho, Jaeyoon Kim, Woo Jae Kim, Junsik Jung, and Sung-Eui Yoon
TopConference on Neural Information Processing Systems (NeurIPS), 2024
Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
https://sgvr.kaist.ac.kr/publication/towards-content-based-pixel-retrieval-in-revisited-oxford-and-paris/
Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, and SungEui Yoon
TopInternational Conference on Computer Vision (ICCV), 2023
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
https://sgvr.kaist.ac.kr/publication/part-based-pseudo-label-refinement-for-unsupervised-person-re-identification/
Yoonki Cho, Woo Jae Kim, Seunghoon Hong, and Sung-Eui Yoon
TopIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Hypergraph Propagation and Community Selection for Objects Retrieval
https://sgvr.kaist.ac.kr/publication/hypergraph-propagation-and-community-selection-for-objects-retrieval/
Guoyuan An, Yuchi Huo, and Sung-Eui Yoon
Top35th Conference on Neural Information Processing Systems (NeurIPS), 2021
Two-stream Spatiotemporal Feature for Video QA Task
https://sgvr.kaist.ac.kr/publication/two-stream-spatiotemporal-feature-for-video-qa-task/
Chiwan Song, Woobin Im, and Sung-eui Yoon
Arxiv, 2019
Distance Encoded Product Quantization for Approximate K-Nearest Neighbor Search in High-Dimensional Space
https://sgvr.kaist.ac.kr/publication/distance-encoded-product-quantization-for-approximate-k-nearest-neighbor-search-in-high-dimensional-space/
Jae-Pil Heo, Zhe Lin, and Sung-Eui Yoon
IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2018
Regional Attention Based Deep Feature for Image Retrieval
https://sgvr.kaist.ac.kr/publication/regional-attention-based-deep-feature-for-image-retrieval/
Jaeyoon Kim and Sung-Eui Yoon
British Machine Vision Conference(BMVC), 2018
Source code: ZIP file, Github page
Rank-based Voting with Inclusion Relationship for Accurate Image Search
https://sgvr.kaist.ac.kr/publication/rank-based-voting-with-inclusion-relationship-for-accurate-image-search/
Jaehyeong Cho, Jae-Pil Heo, Taeyoung Kim, Bohyung Han, and Sung-Eui Yoon
CGI 2017 and a special issue of Journal The Visual Computer(TVC), 2017
Source code: ZIP file, Github page
Memory-Efficient NBNN Image Classification
https://sgvr.kaist.ac.kr/publication/memory-efficient-nbnn-image-classification/
YoonSeok Lee and Sung-eui Yoon
JCSE, 2017
Source code: ZIP file, Github page
Accurate image search using rank-based voting with inclusion relationship포함 관계와 순위 기반 투표를 활용한 정밀 이미지 검색
https://sgvr.kaist.ac.kr/publication/accurate-image-search-using-rank-based-voting-with-inclusion-relationship/
조재형 (Jaehyeong Cho)
Thesis, 2017
전산학부 (Department of Computer Science), KAIST
Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search
https://sgvr.kaist.ac.kr/publication/shortlist-selection-with-residual-aware-distance-estimator-for-k-nearest-neighbor-search/
Jae-Pil Heo, Zhe Lin, Xiaohui Shen, Jonathan Brandt, and Sung-Eui Yoon
CVPR, 2016
Discriminative Subgraphs for Discovering Family Photos
https://sgvr.kaist.ac.kr/publication/discriminative-subgraphs-for-discovering-family-photos/
Changmin Choi, YoonSeok Lee, and Sung-Eui Yoon
Computational Visual Media, 2016
(Received minor revision)
Source code available
Spherical Hashing: Binary Code Embedding with Hyperspheres
https://sgvr.kaist.ac.kr/publication/spherical-hashing-binary-code-embedding-with-hyperspheres/
Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang, and Sung-eui Yoon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
IRIW: Image Retrieval based Image Watermarking for Large-Scale Image Databases
https://sgvr.kaist.ac.kr/publication/iriw-image-retrieval-based-image-watermarking-for-large-scale-image-databases/
Jong Yun Jun, Kunho Kim, Jae-Pil Heo, and Sung-eui Yoon
10th International Workshop on Digital-forensics and Watermarking (IWDW11), 2011