Yuhang Ding
dyh127
I am Ph.D student in University of Technology Sydney (UTS).
Languages
Repos
20
Stars
143
Forks
20
Top Language
Python
Loading contributions...
Top Repositories
code for our work: RFNet for Incomplete Multi-modal Brain Tumor Segmentation
This is the official implementation of "Clustering Propagation for Universal Medical Image Segmentation" (Accepted at CVPR 2024).
code of our work : Adaptive Exploration for Unsupervised Person Re-Identification
code for our work: Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation
collection of papers of unsupervised person Reid
code for our work: Semi-supervised Multi-modal Brain Tumor Segmentation via Multi-modality Dependency Minimization
Repositories
20code for our work: RFNet for Incomplete Multi-modal Brain Tumor Segmentation
code of our work : Adaptive Exploration for Unsupervised Person Re-Identification
This is the official implementation of "Clustering Propagation for Universal Medical Image Segmentation" (Accepted at CVPR 2024).
This collects about 3,700,000 reactions for reaction representation learning.
code for our work: Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation
This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at CVPR 2024).
Repository of our CVPR2023 paper "Lana: A Language-Capable Navigator for Instruction Following and Generation"
Official Pytorch implementation of 'Visual Recognition with Deep Nearest Centroids'. (ICLR2023 Spotlight)
[NeurIPS 2022 Spotlight] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
code for our work: Semi-supervised Multi-modal Brain Tumor Segmentation via Multi-modality Dependency Minimization
label smoothing PyTorch implementation
collection of papers of unsupervised person Reid
No description provided.
TensorFlow implementation of PointRNN, PointGRU and PointLSTM.
Summaries of machine learning papers
xml from cvat annotation ,xml from tracvid
第四次作业
USTC 2017秋季学期 现代软件工程 第二次作业
USTC 2017秋季学期 现代软件工程第一次作业
No description provided.