https://sgvr.kaist.ac.kr/publication/ksc2022/
한국소프트웨어종합학술대회 (KSC), 2022
Abstract 본 연구는 행동 예측기를 통해서 시나리오를 생성하는 문제를 탐구한다. 시나리오란 행동의 시퀀스로서, 소셜로봇이 사용자와 협업을 수행하는 데 이용될 수 있다. 하지만 수집된 데이터만으로는 시나리오의 종류가 한정적이기 때문에 다양한 시나리오를 … Continue reading "행동 Scene-Graph 예측기를 활용한 시나리오 생성"
https://sgvr.kaist.ac.kr/publication/contour-aware-equipotential-learning-for-semantic-segmentation/
IEEE Transactions on Multimedia (TMM), 2022
https://sgvr.kaist.ac.kr/publication/icip2022-ada/
IEEE International Conference on Image Processing (ICIP), 2022
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.