1 code implementation • 30 Apr 2024 • Yue Li, Baiqiao Yin, Jinfu Liu, Jiajun Wen, Jiaying Lin, Mengyuan Liu
In recent years, Event Sound Source Localization has been widely applied in various fields.
1 code implementation • 25 Apr 2024 • Jiaying Lin, Jiajun Wen, Mengyuan Liu, Jinfu Liu, Baiqiao Yin, Yue Li
The task of spatiotemporal action localization in chaotic scenes is a challenging task toward advanced video understanding.
1 code implementation • 24 Apr 2024 • Jinfu Liu, Baiqiao Yin, Jiaying Lin, Jiajun Wen, Yue Li, Mengyuan Liu
Skeleton-based action recognition has gained considerable traction thanks to its utilization of succinct and robust skeletal representations.
Ranked #1 on Skeleton Based Action Recognition on UAV-Human
no code implementations • ICCV 2023 • Jiaying Lin, Rynson W.H. Lau
Existing mirror detection methods require supervised ImageNet pre-training to obtain good general-purpose image features.
no code implementations • CVPR 2023 • Jiaying Lin, Xin Tan, Rynson W.H. Lau
However, detecting mirrors over dynamic scenes is still under-explored due to the lack of a high-quality dataset and an effective method for video mirror detection (VMD).
1 code implementation • 28 Nov 2022 • Ruozhen He, Jiaying Lin, Rynson W. H. Lau
We present HetNet (Multi-level \textbf{Het}erogeneous \textbf{Net}work), a highly efficient mirror detection network.
1 code implementation • 28 Jul 2022 • Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W. H. Lau
To achieve this, we first relabel 4, 040 images in existing camouflaged object datasets with scribbles, which takes ~10s to label one image.
1 code implementation • 13 Jul 2022 • Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W. H. Lau, WangMeng Zuo
Mirror detection aims to identify the mirror regions in the given input image.
no code implementations • 22 Jun 2022 • Jiaying Lin, Yuen Hei Yeung, Rynson W. H. Lau
This however poses substantial challenges on the operations of autonomous systems such as robots, self-driving cars and drones, as the glass panels can become transparent obstacles to the navigation. Existing works attempt to exploit various cues, including glass boundary context or reflections, as a prior.
no code implementations • 31 Mar 2022 • Jiaying Lin, Huankang Guan, Rynson W. H. Lau
Salient Object Ranking (SOR) involves ranking the degree of saliency of multiple salient objects in an input image.
no code implementations • CVPR 2022 • Huankang Guan, Jiaying Lin, Rynson W.H. Lau
Inspired by this observation, we propose a model to exploit the semantic associations between the mirror and its surrounding objects for a reliable mirror localization.
no code implementations • CVPR 2021 • Jiaying Lin, Zebang He, Rynson W.H. Lau
However, as it is only based on a general context integration operation and does not consider any specific glass surface properties, it gets confused when the images contain objects that are similar to glass surfaces and degenerates in challenging scenes with insufficient contexts.
no code implementations • CVPR 2020 • Jiaying Lin, Guodong Wang, Rynson W.H. Lau
Hence, we propose a model in this paper to progressively learn the content similarity between the inside and outside of the mirror while explicitly detecting the mirror edges.