多模态智能感知与认知实验室
多模态智能感知与认知实验室
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学术团队
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学术论文
硕博招生
王洋
研究方向
低质图像增强
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Adaptive Texture and Spectrum Clue Mining for Generalizable Face Forgery Detection
E-MLB: Multilevel Benchmark for Event-Based Camera Denoising
Decoupling-and-Aggregating for Image Exposure Correction
Fusion-Based Low-Light Image Enhancement
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results
Dreaming to Prune Image Deraining Networks
Exposure Normalization and Compensation for Multiple-Exposure Correction
Fast Adaptive Self-Supervised Underwater Image Enhancement
Lightweight Wavelet-Based Network for JPEG Artifacts Removal
Long-Range Feature Dependencies Capturing for Low-Resolution Image Classification
Multi-grained Spatio-Temporal Features Perceived Network for Event-based Lip-Reading
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
S2N: Suppression-Strengthen Network for Event-Based Recognition Under Variant Illuminations
Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification
Dense Residual Network: Enhancing global dense feature flow for character recognition
Leveraging Deep Statistics for Underwater Image Enhancement
Convolutional Dictionary Pair Learning Network for Image Representation Learning
Deep Degradation Prior for Low-Quality Image Classification
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low-Light Image Enhancement
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
A deep CNN method for underwater image enhancement
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