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Home/Authors/Xianming Liu

Xianming Liu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

20

papers

437

total citations

papers (20)

Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon

Learning With Noisy Labels via Sparse Regularization

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

Debiased All-in-one Image Restoration with Task Uncertainty Regularization

COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

CALLIC: Content Adaptive Learning for Lossless Image Compression

Spatial Annealing for Efficient Few-shot Neural Rendering

Joint Asymmetric Loss for Learning with Noisy Labels

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging

FMRNet: Image Deraining via Frequency Mutual Revision

Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression

Spatial-Frequency Mutual Learning for Face Super-Resolution