Tiange Xiang

According to our database, Tiange Xiang authored at least 26 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SocialGen: Modeling Multi-Human Social Interaction with Language Models.

Heng Yu, Juze Zhang, Changan Chen, Tiange Xiang, Yusu Fang, Juan Carlos Niebles, Ehsan Adeli-Mosabbeb

CoRR, March, 2025

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation.

Tiange Xiang, Kai Li, Chengjiang Long, Christian Häne, Peihong Guo, Scott L. Delp, Ehsan Adeli, Li Fei-Fei

CoRR, March, 2025

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound.

Chieh-Ju Chao, Yunqi Richard Gu, Wasan Kumar, Tiange Xiang, Lalith Appari, Justin Wu, Juan Maria Farina, Rachael Wraith, Jiwoong Jason Jeong, Reza Arsanjani, Garvan C. Kane, Jae K. Oh, Curtis P. Langlotz, Imon Banerjee, Li Fei-Fei, Ehsan Adeli

npj Digit. Medicine, 2025

MoDeFA: Multiobserver and Denoising-Enhanced Fingerprint Augmentation for Semi-Supervised Wi-Fi RSS-Based Indoor Positioning.

Tiange Xiang, Yuanjiang Sun, Gang Shen

IEEE Internet Things J., 2025

NeuHMR: Neural Rendering-Guided Human Motion Reconstruction.

Tiange Xiang, Kuan-Chieh Wang, Jaewoo Heo, Ehsan Adeli, Serena Yeung, Scott L. Delp, Li Fei-Fei

Proceedings of the International Conference on 3D Vision, 2025

2024

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images.

Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Tom Weidong Cai, Zongwei Zhou

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach.

Minseok Choi, Tiange Xiang, Joongheon Kim

IEEE Trans. Intell. Veh., February, 2024

Caching, transcoding, delivery and learning for advanced video streaming services.

Minseok Choi, Tiange Xiang, Hyelee Lim, Yunoh Kim, Minkyun Ahn, Sunghun Oh, Hyeonsu Kim

ICT Express, 2024

Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models.

Yanchen Wang, Adam Turnbull, Tiange Xiang, Yunlong Xu, Sa Zhou, Adnan Masoud, Shekoofeh Azizi, Feng Vankee Lin, Ehsan Adeli

CoRR, 2024

Wild2Avatar: Rendering Humans Behind Occlusions.

Tiange Xiang, Adam Sun, Scott L. Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli

CoRR, 2024

Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning.

Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

OccFusion: Rendering Occluded Humans with Generative Diffusion Priors.

Adam Sun, Tiange Xiang, Scott L. Delp, Li Fei-Fei, Ehsan Adeli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DDM²: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models.

Tiange Xiang, Mahmut Yurt, Ali B. Syed, Kawin Setsompop, Akshay Chaudhari

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rendering Humans from Object-Occluded Monocular Videos.

Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection.

Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding.

Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis.

Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai

IEEE Trans. Medical Imaging, 2022

Towards bi-directional skip connections in encoder-decoder architectures and beyond.

Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai

Medical Image Anal., 2022

2021

3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis.

Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang Song, Tiange Xiang, Dongnan Liu, Weidong Cai

CoRR, 2021

In-painting Radiography Images for Unsupervised Anomaly Detection.

Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou

CoRR, 2021

Partial Graph Reasoning for Neural Network Regularization.

Tiange Xiang, Chaoyi Zhang, Yang Song, Siqi Liu, Hongliang Yuan, Tom Weidong Cai

CoRR, 2021

Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool.

Tiange Xiang, Hongliang Yuan, Haozhi Huang, Yujin Shi

CoRR, 2021

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation.

Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis.

Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture.

Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.

Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang

Proceedings of the Intelligent Computing Theories and Application, 2019