activity
20232025
most citedLanguage-Inspired Relation Transfer for Few-shot Class-Incremental Learning

15 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 15 cited

Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning

Yifan Zhao, Jia Li, Zeyin Song +1

Depicting novel classes with language descriptions by observing few-shot samples is inherent in human-learning systems. This lifelong learning capability helps to distinguish new k…

cs.CV2024

High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theorem

Wei Zhang, Weiquan Yan, Yun Zhao +4

Neuromorphic vision sensors, such as the dynamic vision sensor (DVS) and spike camera, have gained increasing attention in recent years. The spike camera can detect fine textures b…

cs.CV2024★ 1 cited

Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation

Hanyu Zhou, Yi Chang, Zhiwei Shi +4

Optical flow has made great progress in clean scenes, while suffers degradation under adverse weather due to the violation of the brightness constancy and gradient continuity assum…

cs.NE2023★ 3 cited

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Wei Fang, Yanqi Chen, Jianhao Ding +7

Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As…

cs.CV2023★ 1 cited

HiFi-123: Towards High-fidelity One Image to 3D Content Generation

Wangbo Yu, Li Yuan, Yan-Pei Cao +6

Recent advances in diffusion models have enabled 3D generation from a single image. However, current methods often produce suboptimal results for novel views, with blurred textures…