Tiange Xiang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Diffusion Models

Top Venues

Publications

Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. CoRR (2024)
Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang
Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning. WACV (2024)
Adam Sun, Tiange Xiang, Scott L. Delp, Li Fei-Fei, Ehsan Adeli
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors. CoRR (2024)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Tom Weidong Cai, Zongwei Zhou
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Tiange Xiang, Adam Sun, Scott Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli
Wild2Avatar: Rendering Humans Behind Occlusions. CoRR (2024)
Minseok Choi, Tiange Xiang, Joongheon Kim
Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Intell. Veh. 9 (2) (2024)
Minseok Choi, Tiange Xiang, Hyelee Lim, Yunoh Kim, Minkyun Ahn, Sunghun Oh, Hyeonsu Kim
Caching, transcoding, delivery and learning for advanced video streaming services. ICT Express 10 (4) (2024)
Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei
Rendering Humans from Object-Occluded Monocular Videos. ICCV (2023)
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding. CVPR (2023)
Tiange Xiang, Mahmut Yurt, Ali B. Syed, Kawin Setsompop, Akshay Chaudhari
: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models. CoRR (2023)
Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei
Rendering Humans from Object-Occluded Monocular Videos. CoRR (2023)
Tiange Xiang, Mahmut Yurt, Ali B. Syed, Kawin Setsompop, Akshay Chaudhari
: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models. ICLR (2023)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. CVPR (2023)
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding. CoRR (2022)
Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Tom Weidong Cai
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond. CoRR (2022)
Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging 41 (8) (2022)
Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Anal. 78 (2022)
Tiange Xiang, Chaoyi Zhang, Yang Song, Siqi Liu, Hongliang Yuan, Tom Weidong Cai
Partial Graph Reasoning for Neural Network Regularization. CoRR (2021)
Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
In-painting Radiography Images for Unsupervised Anomaly Detection. CoRR (2021)
Tiange Xiang, Hongliang Yuan, Haozhi Huang, Yujin Shi
Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool. CoRR (2021)
Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. ICCV (2021)
Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. MICCAI (1) (2021)
Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. CoRR (2021)
Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. CoRR (2021)
Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR (2021)
Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang Song, Tiange Xiang, Dongnan Liu, Weidong Cai
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. CoRR (2021)
Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR (2020)
Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. MICCAI (1) (2020)
Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method. ICIC (1) (2019)