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Hui Ji

37 papers · 2013–2026 · 6 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ 🏃 Academic Marathon (12) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (12) 🤝 Dynamic Duo (26) 🔬 Deep Specialist (22) 🧬 Topic Evolution 🏆 Keyword Champion (6) 🗃️ Keyword Collector (139) 🚀 Conference Pioneer 🔥 Unstoppable (7) 💎 Century Club (36) Prolific Year (7)

Conferences

CVPR (17) ICCV (8) AAAI (4) ECCV (4) NIPS (3) ACL (1)

Research topics

Papers

Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation AAAI 2026 A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts CVPR 2025 Fingerprinting Denoising Diffusion Probabilistic Models CVPR 2025 Multi-Focus Image Fusion via Explicit Defocus Blur Modelling AAAI 2025 Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025 Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling CVPR 2025 RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts ACL 2024 Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024 Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation NIPS 2024 Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising NIPS 2024 Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers ECCV 2024 Neumann Network With Recursive Kernels for Single Image Defocus Deblurring CVPR 2023 Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation AAAI 2023 Unsupervised Deep Video Denoising with Untrained Network AAAI 2023 Ground-Truth Free Meta-Learning for Deep Compressive Sampling CVPR 2023 Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization CVPR 2023 Fingerprinting Deep Image Restoration Models ICCV 2023 Single Image Defocus Deblurring via Implicit Neural Inverse Kernels ICCV 2023 Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics CVPR 2022 Learning Deep Non-Blind Image Deconvolution without Ground Truths ECCV 2022 Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging ECCV 2022 Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NIPS 2021 Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising CVPR 2021 Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity CVPR 2021 Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing ECCV 2020 Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution CVPR 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image CVPR 2020 A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019 Deep Learning for Seeing Through Window With Raindrops ICCV 2019 Estimating Defocus Blur via Rank of Local Patches ICCV 2017 Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis CVPR 2016 Sparse Coding for Classification via Discrimination Ensemble CVPR 2016 Removing Rain From a Single Image via Discriminative Sparse Coding ICCV 2015 Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning ICCV 2015 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014 Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration ICCV 2013