Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction
Youngsun Kwon, Minhyuk Sung, and Sung-Eui Yoon
TopIEEE International Conference on Robotics and Automation (ICRA), 2022
In-N-Out: Towards Good Initialization for Inpainting and Outpainting
Changho Jo, Woobin Im, and Sung-Eui Yoon
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"
Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction
In-Young Cho, Yuchi Huo, and Sung-Eui Yoon
TopACM Trans. on Graphics (ToG) (proc. of SIGGRAPH), 2021
High-dimensional Feature Extraction for Denoising Monte Carlo Renderings몬테카를로 렌더링의 노이즈 제거를 위한 고차원 피처 추출
조인영, Yuchi Huo, and 윤성의
한국컴퓨터그래픽스학회(KCGS), 2020
학습 기반 상태 전이 함수를 사용한 Kinodynamic 플래닝
장진혁 and 윤성의
대한전자공학회(IEIE), 2020
Unsupervised Learning of Optical Flow with Deep Feature Similarity
Woobin Im, Tae-Kyun Kim, and Sung-Eui Yoon
TopEuropean Conference on Computer Vision (ECCV), 2020
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
TopACM Trans. on Graphics (ToG), 2020
Chosen as the cover image of the journal issue
Paper Sup. report
Two-stream Spatiotemporal Feature for Video QA Task
Chiwan Song, Woobin Im, and Sung-eui Yoon
Arxiv, 2019
Coarse-to-Fine Clothing Image Generation with Progressively Constructed Conditional GAN
Youngki Kwon, Soomin Kim, Donggeun Yoo, and Sung-Eui Yoon
International Conference on Computer Vision Theory and Application (VISAPP), 2019
Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation
Woobin Im, Sungeun Hong, Sung-Eui Yoon, and Hyun S. Yang
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"
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