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Zhangsihao Yang
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2020 – today
- 2024
- [c11]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CVPR 2024: 1249-1259 - [c10]Zhangsihao Yang, Yi Su, Rahimeh Rouhi, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Yalin Wang, Natasha Leporé:
Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification. ISBI 2024: 1-5 - [c9]Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang:
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV 2024: 3291-3301 - [i12]Zhangsihao Yang, Mengyi Shan, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Xuanzhao Dong, Yalin Wang:
AMG: Avatar Motion Guided Video Generation. CoRR abs/2409.01502 (2024) - [i11]Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang:
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement. CoRR abs/2409.10966 (2024) - 2023
- [c8]Chuanyue Shen, Letian Zhang, Zhangsihao Yang, Masood Mortazavi, Xiyun Song, Liang Peng, Heather Yu:
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering. CVPR Workshops 2023: 4623-4632 - [c7]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI 2023: 303-315 - [c6]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang:
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. IPMI 2023: 415-427 - [c5]Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang:
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. NeurIPS 2023 - [c4]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. WACV 2023: 3145-3154 - [i10]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang:
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. CoRR abs/2302.03003 (2023) - [i9]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR abs/2302.03830 (2023) - [i8]Chuanyue Shen, Letian Zhang, Zhangsihao Yang, Masood Mortazavi, Xiyun Song, Liang Peng, Heather Yu:
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering. CoRR abs/2306.16541 (2023) - [i7]Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang:
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. CoRR abs/2310.01680 (2023) - [i6]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR abs/2311.18303 (2023) - 2022
- [i5]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. CoRR abs/2210.09466 (2022) - 2021
- [c3]Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang:
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC 2021: 1051-1054 - [c2]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV 2021: 134-144 - 2020
- [i4]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR abs/2002.02506 (2020)
2010 – 2019
- 2019
- [j2]Wentai Zhang, Haoliang Jiang, Zhangsihao Yang, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Data-driven Upsampling of Point Clouds. Comput. Aided Des. 112: 1-13 (2019) - [j1]Wentai Zhang, Jonelle Z. Yu, Fangcheng Zhu, Yifang Zhu, Zhangsihao Yang, Nurcan Gecer Ulu, Erhan Batuhan Arisoy, Levent Burak Kara:
High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training. J. Comput. Inf. Sci. Eng. 19(3) (2019) - [c1]Zhangsihao Yang, Haoliang Jiang, Lan Zou:
3D Conceptual Design Using Deep Learning. CVC (1) 2019: 16-26 - [i3]Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara:
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders. CoRR abs/1904.07964 (2019) - 2018
- [i2]Wentai Zhang, Haoliang Jiang, Zhangsihao Yang, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Data-driven Upsampling of Point Clouds. CoRR abs/1807.02740 (2018) - [i1]Zhangsihao Yang, Haoliang Jiang, Lan Zou:
3D Conceptual Design Using Deep Learning. CoRR abs/1808.01675 (2018)
Coauthor Index
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