19 citations · 24 across the 19 of their papers we have counts for
5 papers · 1 filter
Continual Learning via Manifold Expansion Replay
Zihao Xu, Xuan Tang, Yufei Shi +4
In continual learning, the learner learns multiple tasks in sequence, with data being acquired only once for each task. Catastrophic forgetting is a major challenge to continual le…
Hyperbolic Graph Diffusion Model
Lingfeng Wen, Xuan Tang, Mingjie Ouyang +5
Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic…
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations
Jianzhang Zheng, Hao Shen, Jian Yang +5
Autoencoders have achieved great success in various computer vision applications. The autoencoder learns appropriate low dimensional image representations through the self-supervis…
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification
Xian Wei, Muyu Wang, Shing-Ho Jonathan Lin +4
Self-attention modules have demonstrated remarkable capabilities in capturing long-range relationships and improving the performance of point cloud tasks. However, point cloud obje…
Group Equivariant BEV for 3D Object Detection
Hongwei Liu, Jian Yang, Jianfeng Zhang +5
Recently, 3D object detection has attracted significant attention and achieved continuous improvement in real road scenarios. The environmental information is collected from a sing…