28 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.CV2023
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation
Ilwi Yun, Chanyong Shin, Hyunku Lee +2
Estimating the depths of equirectangular (i.e., 360) images (EIs) is challenging given the distorted 180 x 360 field-of-view, which is hard to be addressed via convolutional neural…
cs.CV2021★ 28 cited
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
Ilwi Yun, Hyuk-Jae Lee, Chae Eun Rhee
Due to difficulties in acquiring ground truth depth of equirectangular (360) images, the quality and quantity of equirectangular depth data today is insufficient to represent the v…
cs.CV2021★ 1 cited
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee +1
Weakly-supervised instance segmentation (WSIS) has been considered as a more challenging task than weakly-supervised semantic segmentation (WSSS). Compared to WSSS, WSIS requires i…