Author

Lean Fu

Observed name: Fu, Lean

ORCID: 0000-0003-1889-9352

Observed ORCID: 0000-0003-1889-9352

OpenAlex ID: A5073867140

Residual Local Feature Network for Efficient Super-Resolution

2022 · Fangyuan Kong, Mingxi Li, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 307

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Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution

2022 · Zongcai Du, Ding Liu, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 141

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GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

2022 · Jingwen He, Wu Shi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 83

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Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring

2022 · Chao Zhu, Hang Dong, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 56

Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution

2023 · Yong Liu, Hang Dong, et al. · ACM International Conference on Multimedia (ACM MM) · 20

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ByteEdit: Boost, Comply and Accelerate Generative Image Editing

2024 · Yuxi Ren, Jie Wu, et al. · Lecture notes in computer science · 4

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Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization

2023 · Yuhao Huang, Hang Dong, et al. · Lecture notes in computer science · 4

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GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference

2024 · Zeng, Chao, Liu, Songwei, et al. · arXiv (Cornell University) · 1

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UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

2024 · Jiacheng Zhang, Jie Wu, et al. · neural information processing systems · 1

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SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity

2023 · Xu, Haitao, Liu, Songwei, et al. · arXiv (Cornell University)

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Works count: 11

Citation count: 617

H-index: 5

I10-index: 5