activity
20232026
collaborators

8 papers

cs.LG2026

FRWKV+: Periodic-Aware Adaptive Gating for Frequency-Space Linear Time Series Forecasting

Qingyuan Yang, Dongyue Chen, Da Teng +3

Accurate and efficient long-term multivariate time series forecasting requires capturing recurring temporal structure while keeping inference cheap across many variables and horizo…

cs.LG2025

FRWKV:Frequency-Domain Linear Attention for Long-Term Time Series Forecasting

Qingyuan Yang, Shizhuo Deng, Dongyue Chen +2

Traditional Transformers face a major bottleneck in long-sequence time series forecasting due to their quadratic complexity and their limited ability to effect…

cs.CV2025

FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception

Mingyuan Li, Tong Jia, Han Gu +7

Overlapping object perception aims to decouple the randomly overlapping foreground-background features, extracting foreground features while suppressing background features, which…

cs.CV2024

CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels

Shizhuo Deng, Bowen Han, Jiaqi Chen +3

Noisy labels threaten the robustness of few-shot learning (FSL) due to the inexact features in a new domain. CLIP, a large-scale vision-language model, performs well in FSL on imag…

cs.CV2024

SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition

Jiaqi Chen, Yan Yang, Shizhuo Deng +2

Human action recognition (HAR) plays a key role in various applications such as video analysis, surveillance, autonomous driving, robotics, and healthcare. Most HAR algorithms are…

cs.CV2024

Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion

Tingxuan Huang, Jiacheng Miao, Shizhuo Deng +2

Depth completion is a critical task for handling depth images with missing pixels, which can negatively impact further applications. Recent approaches have utilized Convolutional N…

cs.CV2023

Prior Knowledge Guided Network for Video Anomaly Detection

Zhewen Deng, Dongyue Chen, Shizhuo Deng

Video Anomaly Detection (VAD) involves detecting anomalous events in videos, presenting a significant and intricate task within intelligent video surveillance. Existing studies oft…

cs.CV2023

AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion

Dongyue Chen, Tingxuan Huang, Zhimin Song +2

Recently, stereo vision based on lightweight RGBD cameras has been widely used in various fields. However, limited by the imaging principles, the commonly used RGB-D cameras based…