3 citations · 7 across the 4 of their papers we have counts for
4 papers
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong +3
Human motion generation aims to produce plausible human motion sequences according to various conditional inputs, such as text or audio. Despite the feasibility of existing methods…
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation
Jiren Mai, Fei Zhang, Junjie Ye +5
Weakly Supervised Semantic Segmentation (WSSS) with image-level labels has long been suffering from fragmentary object regions led by Class Activation Map (CAM), which is incapable…
Federated Semi-Supervised Learning with Annotation Heterogeneity
Xinyi Shang, Gang Huang, Yang Lu +4
Federated Semi-Supervised Learning (FSSL) aims to learn a global model from different clients in an environment with both labeled and unlabeled data. Most of the existing FSSL work…
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Fu, Yixuan Shen
Semantic-driven 3D shape generation aims to generate 3D objects conditioned on text. Previous works face problems with single-category generation, low-frequency 3D details, and req…