Xianming Liu

41 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird

🐝 Cross-Pollinator (13) 🗺️ Taxonomy Completionist (66) 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (31) 🏆 Grand Slam 🔬 Deep Specialist (14) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (7) 🗃️ Keyword Collector (171) 🔥 Unstoppable (6) 💎 Century Club (38)

Conferences

AAAI (12) CVPR (9) ICCV (5) ICLR (4) ECCV (3) ICML (3) IJCAI (2) NIPS (2) JMLR (1)

Top co-authors

Junjun Jiang (33) Xiangyang Ji (16) Kui Jiang (11) Deming Zhai (11) Xiong Zhou (11) Gang Wu (5) Jialiang Wang (4) Chenyang Wang (4) Feilong Zhang (3) Xin Gao (3)

Research topics

Techniques (1)

Keywords

image restoration (5) deep neural network (4) convolutional neural network (4) label noise (4) loss function (4) mutual learning (3) noisy label (3) 3d vision (3) image deraining (3) 3d gaussian splatting (2) contrastive learning (2) 3d reconstruction (2) multi-task learning (2) feature representation (2) image compression (2) noisy label learning (2) semantic segmentation (2) multi-modal learning (2) self-supervised learning (2) deep learning (2)

Papers

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning AAAI 2026 Variation-Bounded Loss for Noise-Tolerant Learning AAAI 2026 Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining AAAI 2026 DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds CVPR 2025 COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting CVPR 2025 CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025 Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025 Joint Asymmetric Loss for Learning with Noisy Labels ICCV 2025 Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation AAAI 2024 AFBench: A Large-scale Benchmark for Airfoil Design NIPS 2024 $\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024 Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI 2024 FMRNet: Image Deraining via Frequency Mutual Revision AAAI 2024 OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition CVPR 2024 Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training ECCV 2024 Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs ICLR 2024 Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data ICLR 2024 On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023 Spatial-Frequency Mutual Learning for Face Super-Resolution CVPR 2023 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023 Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising AAAI 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022 Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training ECCV 2022 Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion ECCV 2022 Learning Towards The Largest Margins ICLR 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 Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022 Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022 Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021 Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021 Learning With Noisy Labels via Sparse Regularization ICCV 2021 Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression 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