65 citations · 121 across the 12 of their papers we have counts for
7 papers · 1 filter
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang, Haobo Yuan, Xiangtai Li +3
Few-shot class-incremental learning (FSCIL) has been a challenging problem as only a few training samples are accessible for each novel class in the new sessions. Finetuning the ba…
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Zhengyang Shen, Tao Hong, Qi She +2
Steerable models can provide very general and flexible equivariance by formulating equivariance requirements in the language of representation theory and feature fields, which has…
Graph Construction with Label Information for Semi-Supervised Learning
Liansheng Zhuang, Zihan Zhou, Jingwen Yin +4
In the literature, most existing graph-based semi-supervised learning (SSL) methods only use the label information of observed samples in the label propagation stage, while ignorin…
Correntropy Induced L2 Graph for Robust Subspace Clustering
Canyi Lu, Jinhui Tang, Min Lin +3
In this paper, we study the robust subspace clustering problem, which aims to cluster the given possibly noisy data points into their underlying subspaces. A large pool of previous…
Correlation Adaptive Subspace Segmentation by Trace Lasso
Canyi Lu, Jiashi Feng, Zhouchen Lin +1
This paper studies the subspace segmentation problem. Given a set of data points drawn from a union of subspaces, the goal is to partition them into their underlying subspaces they…
Robust Estimation of 3D Human Poses from a Single Image
Chunyu Wang, Yizhou Wang, Zhouchen Lin +2
Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose…