Papers

2023

• Listening Style-Aware Dyadic Facial Motion Generation

  • Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal

  • IJCAI Workshop'23 on Spatio-Temporal Reasoning and Learning (STRL), 2023

2022

• AQT: Adversarial Query Transformers for Domain Adaptive Object Detection

  • Wei-Jie Huang, Yu-Lin Lu, Shih-Yao Lin, Yu-sheng Xie and Yen-Yu Lin

  • Int' Joint Conf.  Artificial Intelligence (IJCAI), 2022 (Oral) [Code]

2021

• TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation

  • Haoyu Ma, Liangjian Chen,  Deying Kong, Zhe Wang, Xingwei, Liu, Hao Tang, Xiangyi Yan, Yusheng Xie, Shih-Yao Lin, and Xiaohui Xie

  • British Machine Vision Conference (BMVC), 2021 [Code]

• Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos

  • Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, and Xiaohui Xie

  • Winter Conf. Applications of Computer Vision (WACV), 2021 [Slide][Presentation]

• MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation

  • Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, and Xiaohui Xie

  • Winter Conf. Applications of Computer Vision (WACV), 2021 [Slide][Presentation][Dataset]

2020

• MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis

  • Zhenyu Wu, Duc Hoang, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, and Wei Fan

  • ACM Int' Conf. Multimedia (ACM MM), 2020 (Long Paper) [Video] [Poster] [Code]

• DGGAN: Depth-image Guided Generative Adversarial Networks for jointly Disentangling RGB and Depth Images and Estimating 3D Hand Pose

  • Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, and Xiaohui Xie

  • Winter Conf. Applications of Computer Vision (WACV), 2020 (First Round Early Accepted) [Video][Slide][Poster]

2019

• TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic Hand Pose Synthesis

  • Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Hui Tang, Yufan Xue, Xiaohui Xie, Yen-Yu Lin, and Wei Fan

  • British Machine Vision Conference (BMVC), 2019 [Poster]

2018

• Action Recognition with the Augmented MoCap Data using Neural Data Translation

  • Shih-Yao Lin and Yen-Yu Lin

  • British Machine Vision Conference (BMVC), 2018 [Poster][Video][Code]

• Learning Conditional Random Fields with Augmented Observations for Partially Observed Action Recognition

  • Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung

  • arXiv preprint, arXiv:1811.09986, 2019 [Video]

2017

• Learning and Inferring Human Actions with Temporal Pyramid Features based on Conditional Random Fields

  • Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung

  • IEEE Int' Conf. Acoustics, Speech and Signal Processing (ICASSP), 2017 [Poster] [Tai-Chi Chun3D dataset] 

• Recognizing Human Actions with Outlier Frames by Observation Filtering and Completion

  • Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung,  

  • ACM Trans. Multimedia Comput. Commun. and Appl. (TOMM), Vol. 13 No. 3, pp. 28:1 - 28:23, 2017 (Impact Factor: 2.25) [Video] [Code] [Dataset]

[Publications before 2017]