no code implementations • 11 Apr 2023 • Soohyun Kim, Junho Kim, Taekyung Kim, Hwan Heo, Seungryong Kim, Jiyoung Lee, Jin-Hwa Kim
This task is difficult due to the geometric distortion of panoramic images and the lack of a panoramic image dataset with diverse conditions, like weather or time.
no code implementations • 5 Mar 2023 • Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim
We present a learning framework for reconstructing neural scene representations from a small number of unconstrained tourist photos.
no code implementations • 3 Feb 2023 • Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim
Multi-resolution hash encoding has recently been proposed to reduce the computational cost of neural renderings, such as NeRF.
no code implementations • 2 Feb 2023 • Hwan Heo, Youngjin Oh, Jaewon Lee, Hyunwoo J. Kim
Recent studies have proven that DNNs, unlike human vision, tend to exploit texture information rather than shape.
1 code implementation • CVPR 2022 • Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
Motivated by various inference paths for HOI detection, we propose cross-path consistency learning (CPC), which is a novel end-to-end learning strategy to improve HOI detection for transformers by leveraging augmented decoding paths.
Ranked #1 on Human-Object Interaction Detection on V-COCO (MAP metric)