Browsing by Titles

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 4 of 4

Conference
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation
  • Lee, Seunghun ; 
  • Choi, Wonhyeok ; 
  • Kim, Changjae ; 
  • Choi, Minwoo ; 
  • Im, Sunghoon
  • 2022-06-24
  • Lee, Seunghun. (2022-06-24). ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. Conference on Computer Vision and Pattern Recognition (poster), 19174–19184. doi: 10.1109/CVPR52688.2022.01860
  • IEEE Computer Society, The Computer Vision Foundation
  • View : 168
  • Download : 0
Conference
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
  • Choi, Wonhyeok ; 
  • Hwang, Kyumin ; 
  • Choi, Minwoo ; 
  • Han, Kiljoon ; 
  • Choi, Wonjoon ; 
  • Shin, Mingyu ; 
  • Im, Sunghoon
  • 2025-02-28
  • AAAI Conference on Artificial Intelligence, pp.2555 - 2563
  • Association for the Advancement of Artificial Intelligence
  • View : 61
  • Download : 0
Article
Scale-Invariant and View-Relational Representation Learning for Full Surround Monocular Depth
  • Hwang, Kyumin ; 
  • Choi, Wonhyeok ; 
  • Han, Kiljoon ; 
  • Choi, Wonjoon ; 
  • Choi, Minwoo ; 
  • Na, Yongcheon ; 
  • Park, Minwoo ; 
  • Im, Sunghoon
  • 2026-01
  • IEEE Robotics and Automation Letters, v.11, no.1, pp.1002 - 1009
  • Institute of Electrical and Electronics Engineers
  • View : 38
  • Download : 0
Conference
Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
  • Choi, Wonhyeok ; 
  • Hwang, Kyumin ; 
  • Peng, Wei ; 
  • Choi, Minwoo ; 
  • Im, Sunghoon
  • 2025-04-26
  • Choi, Wonhyeok. (2025-04-26). Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining. International Conference on Learning Representations, 95218–95236.
  • International Conference on Learning Representations (ICLR)
  • View : 243
  • Download : 0
1