Search Results for author: Ruei-Sung Lin

Found 7 papers, 0 papers with code

DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

no code implementations4 Mar 2024 Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng

In Multiple Object Tracking, objects often exhibit non-linear motion of acceleration and deceleration, with irregular direction changes.

motion prediction Multiple Object Tracking

Bidirectional Autoregressive Diffusion Model for Dance Generation

no code implementations6 Feb 2024 Canyu Zhang, YouBao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang

To make the generated dance motion smoother, a local information decoder is built for local motion enhancement.

HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation

no code implementations18 Jan 2023 Xiaoye Qian, YouBao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin

To mitigate this issue, we propose Hierarchical Spatial-Temporal transFormers (HSTFormer) to capture multi-level joints' spatial-temporal correlations from local to global gradually for accurate 3D HPE.

3D Human Pose Estimation

Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention

no code implementations10 Nov 2022 Yifan Liu, YouBao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang

Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video.

Optical Flow Estimation Temporal Action Localization

PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation

no code implementations22 Jul 2022 Yirui Wang, Shenghua He, YouBao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han

In order to cope with the increasing demand for labeling data and privacy issues with human detection, synthetic data has been used as a substitute and showing promising results in human detection and tracking tasks.

Benchmarking Domain Adaptation +1

Optimal Transport Based Generative Autoencoders

no code implementations16 Oct 2019 Oliver Zhang, Ruei-Sung Lin, Yuchuan Gou

The field of deep generative modeling is dominated by generative adversarial networks (GANs).

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