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Liangyin Chen

5 accepted papers

2026

Occlusion-Aware SORT: Observing Occlusion for Robust Multi-Object Tracking

CVPR 2026

Multi-object tracking (MOT) involves analyzing object trajectories and counting the number of objects in video sequences. However, 2D MOT faces challenges due to positional cost confusion arising from partial occlusion. To address this issue, we present the novel Occlusion-Aware SORT (OA-SORT) frame

Cited by 0SourceScholar
2025

Extending MPR for Locating a Moving Object Based on TDOA and FDOA

ICASSP 2025accepted

Modified Polar Representation (MPR) has shown its superiority in integration of near and far field localization for a stationary source. This paper extends the researches and applications of the MPR to moving source, where time difference of arrival (TDOA) and frequency difference of arrival (FDOA)…

Cited by 0SourceScholar
2023

A Light Weight Model for Active Speaker Detection

CVPR 2023poster

Active speaker detection is a challenging task in audio-visual scenarios, with the aim to detect who is speaking in one or more speaker scenarios. This task has received considerable attention because it is crucial in many applications. Existing studies have attempted to improve the performance by i…

2023

Robust Iterative Solution for Linear Array-Based 3-D Localization by Message Passing

ICASSP 2023accepted

Recent research has shown that using the 1-D signal arrival angles observed by linear arrays can locate a 3-D source in unique co-ordinates. Current methods to solve this localization problem are based on semidefinite programming (SDP) or gradient-based iteration, which are either computationally de…

Cited by 0SourceScholar
2022

A Light Weight Model for Video Shot Occlusion Detection

ICASSP 2022accepted

The popularity of video social platforms (TikTok, etc.) shows that video is a popular information carrier at present. However, shot occlusion frequently occurs when people are shooting videos to record information. Since the shot occlusion seriously affects the viewers’ experience, the video editors…

Cited by 0SourceScholar