Xianming Liu

Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition CVPR 2026 FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning AAAI 2026 Reliev3R: Relieving Feed-forward 3D Reconstruction from Multi-View Geometric Annotations CVPR 2026 Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining AAAI 2026 Variation-Bounded Loss for Noise-Tolerant Learning AAAI 2026 Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025 CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025 COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting CVPR 2025 DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds CVPR 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Joint Asymmetric Loss for Learning with Noisy Labels ICCV 2025 Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 AFBench: A Large-scale Benchmark for Airfoil Design NeurIPS 2024 FMRNet: Image Deraining via Frequency Mutual Revision AAAI 2024 Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training ECCV 2024 Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI 2024 Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation AAAI 2024 OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition CVPR 2024 Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data ICLR 2024 Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs ICLR 2024 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023 On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023 Spatial-Frequency Mutual Learning for Face Super-Resolution CVPR 2023 Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion ECCV 2022 Learning Towards The Largest Margins ICLR 2022 Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising AAAI 2022 Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022 Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022 SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022 Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022 Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training ECCV 2022 Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021 Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression CVPR 2021 Learning With Noisy Labels via Sparse Regularization ICCV 2021 Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021 FasterSeg: Searching for Faster Real-time Semantic Segmentation ICLR 2020 When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach IJCAI 2018 Robust Video Super-Resolution With Learned Temporal Dynamics ICCV 2017 Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain CVPR 2015 Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks ICCV 2015 Parametric Local Multimodal Hashing for Cross-View Similarity Search IJCAI 2013