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20162026
most citedFeature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

175 citations · 304 across the 42 of their papers we have counts for

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cs.CV2026

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution

Ao Li, Yapeng Du, Yi Xin +5

Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-leve…

cs.CV2026

Real-Time Underwater Image Enhancement via Frequency-Guided Dual-Path Attention

Leshen Zhang, Ao Li, Ce Zhu

Real-time underwater image enhancement (UIE) is crucial for mobile underwater photography and autonomous robotic systems, where practical deployment typically requires low latency…

cs.CV2026

Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Super-Resolution for Snapshot Compressive Imaging

Wudi Chen, Zhiyuan Zha, Xin Yuan +6

Recent advances have demonstrated that coded aperture snapshot spectral imaging (CASSI) systems show great potential for capturing 3D hyperspectral images (HSIs) from a single 2D m…

cs.CV2026

DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization

Ao Li, Xiaoning Liu, Sheng Li +5

All-in-one image restoration aims to handle diverse degradations within a single model. However, existing methods often suffer from three key limitations: 1) per-input computationa…

cs.CV2024

FunOTTA: On-the-Fly Adaptation on Cross-Domain Fundus Image via Stable Test-time Training

Qian Zeng, Le Zhang, Yipeng Liu +2

Fundus images are essential for the early screening and detection of eye diseases. While deep learning models using fundus images have significantly advanced the diagnosis of multi…

cs.CV20242 cited

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection

Ruituo Wu, Yang Chen, Jian Xiao +5

Cooperation between temporal convolutional networks (TCN) and graph convolutional networks (GCN) as a processing module has shown promising results in skeleton-based video anomaly…