Search Results for author: Tiange Xiang

Found 14 papers, 7 papers with code

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

no code implementations13 Mar 2024 Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou

To this end, we propose a Simple Space-Aware Memory Matrix for In-painting and Detecting anomalies from radiography images (abbreviated as SimSID).

Anatomy Image Reconstruction +1

Wild2Avatar: Rendering Humans Behind Occlusions

no code implementations31 Dec 2023 Tiange Xiang, Adam Sun, Scott Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli

In this work, we present Wild2Avatar, a neural rendering approach catered for occluded in-the-wild monocular videos.

Neural Rendering

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

1 code implementation CVPR 2023 Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou

In this work, we present MinD-Vis: Sparse Masked Brain Modeling with Double-Conditioned Latent Diffusion Model for Human Vision Decoding.

Brain Computer Interface

Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond

no code implementations11 Mar 2022 Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang song, Dongnan Liu, Heng Huang, Weidong Cai

With the backward skip connections, we propose a U-Net based network family, namely Bi-directional O-shape networks, which set new benchmarks on multiple public medical imaging segmentation datasets.

Medical Image Segmentation Neural Architecture Search +1

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

1 code implementation CVPR 2023 Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou

Radiography imaging protocols focus on particular body regions, therefore producing images of great similarity and yielding recurrent anatomical structures across patients.

Anatomy Unsupervised Anomaly Detection

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

no code implementations13 Sep 2021 Tiange Xiang, Yang song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai

With image-level labels only, patch-wise classification would be sub-optimal due to inconsistency between the patch appearance and image-level label.

Classification whole slide images

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

1 code implementation26 Jun 2021 Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang song, Dongnan Liu, Heng Huang, Weidong Cai

We evaluate BiX-NAS on two segmentation tasks using three different medical image datasets, and the experimental results show that our BiX-NAS searched architecture achieves the state-of-the-art performance with significantly lower computational cost.

Image Segmentation Medical Image Segmentation +3

Partial Graph Reasoning for Neural Network Regularization

no code implementations3 Jun 2021 Tiange Xiang, Chaoyi Zhang, Yang song, SiQi Liu, Hongliang Yuan, Weidong Cai

This add-on graph regularizes the network during training and can be completely skipped during inference.

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

1 code implementation1 Jul 2020 Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang song, Heng Huang, Weidong Cai

U-Net has become one of the state-of-the-art deep learning-based approaches for modern computer vision tasks such as semantic segmentation, super resolution, image denoising, and inpainting.

Image Denoising Semantic Segmentation +1

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