51 results on '"Tieyong Zeng"'
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2. Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization.
3. Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution.
4. VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising.
5. Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems.
6. Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering.
7. No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks.
8. Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration.
9. Dynamic Multimodal Information Bottleneck for Multimodality Classification.
10. A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations.
11. Recognizable Information Bottleneck.
12. EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.
13. ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos.
14. Deep ReLU Networks Have Surprisingly Simple Polytopes.
15. Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees.
16. Fast MRI Reconstruction via Edge Attention.
17. Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks.
18. Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance.
19. Rethink Depth Separation with Intra-layer Links.
20. Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI.
21. One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks.
22. UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution.
23. Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm.
24. BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration.
25. EWT: Efficient Wavelet-Transformer for Single Image Denoising.
26. PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution.
27. VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation.
28. CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution.
29. Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework.
30. A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification.
31. Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks.
32. Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge.
33. Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation.
34. Snow Mask Guided Adaptive Residual Network for Image Snow Removal.
35. Convex Augmentation for Total Variation Based Phase Retrieval.
36. Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer.
37. Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs.
38. A deep neural network approach on solving the linear transport model under diffusive scaling.
39. From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution.
40. Rank-One Prior: Toward Real-Time Scene Recovery.
41. A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications.
42. Structure-Preserving Deraining with Residue Channel Prior Guidance.
43. Deep Tensor CCA for Multi-view Learning.
44. Edge Adaptive Hybrid Regularization Model For Image Deblurring.
45. Overlapping Domain Decomposition Methods for Ptychographic Imaging.
46. Residual Learning for Effective joint Demosaicing-Denoising.
47. Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness.
48. Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points.
49. A Two-stage Classification Method for High-dimensional Data and Point Clouds.
50. Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation.
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