Xianming Liu

23

Papers

44

Total Citations

Papers (23)

DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds

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

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

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

Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain

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

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

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

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

Spatial-Frequency Mutual Learning for Face Super-Resolution

Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks

Robust Video Super-Resolution With Learned Temporal Dynamics

Learning With Noisy Labels via Sparse Regularization

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

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

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

Joint Asymmetric Loss for Learning with Noisy Labels

Spatial Annealing for Efficient Few-shot Neural Rendering

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

FMRNet: Image Deraining via Frequency Mutual Revision

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