no code implementations • 13 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).
no code implementations • 31 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.
no code implementations • ICCV 2023 • Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei
3D understanding and rendering of moving humans from monocular videos is a challenging task.
3 code implementations • 6 Feb 2023 • Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari
Magnetic resonance imaging (MRI) is a common and life-saving medical imaging technique.
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.
no code implementations • 11 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.
1 code implementation • 9 Dec 2021 • Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang song, Tiange Xiang, Dongnan Liu, Weidong Cai
General point clouds have been increasingly investigated for different tasks, and recently Transformer-based networks are proposed for point cloud analysis.
Ranked #1 on 3D Point Cloud Classification on IntrA
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.
no code implementations • 13 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.
1 code implementation • 26 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.
no code implementations • 3 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.
2 code implementations • ICCV 2021 • Tiange Xiang, Chaoyi Zhang, Yang song, Jianhui Yu, Weidong Cai
Discrete point cloud objects lack sufficient shape descriptors of 3D geometries.
Ranked #10 on 3D Part Segmentation on ShapeNet-Part
no code implementations • 30 Mar 2021 • Tiange Xiang, Hongliang Yuan, HaoZhi Huang, Yujin Shi
Monte Carlo path tracer renders noisy image sequences at low sampling counts.
1 code implementation • 1 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.