Lei Luo

A General Anchor-Based Framework for Scalable Fair Clustering AAAI 2026 LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models CVPR 2026 Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation AAAI 2026 Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation AAAI 2026 Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts ICCV 2025 Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis AAAI 2025 Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images IJCAI 2025 Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios CVPR 2025 Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation ICML 2025 Straighten Viscous Rectified Flow via Noise Optimization ICCV 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem ECCV 2024 Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection IJCAI 2024 Frequency-Spatial Entanglement Learning for Camouflaged Object Detection ECCV 2024 UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model CVPR 2024 AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation CVPR 2023 Curriculum Temperature for Knowledge Distillation AAAI 2023 Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning AAAI 2023 Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples AAAI 2023 Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering AAAI 2023 An Optimal Transport Approach to Deep Metric Learning (Student Abstract) AAAI 2022 Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022 Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset Interspeech 2022 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method IJCAI 2021 Unsupervised Hyperbolic Metric Learning CVPR 2021 Adversarial Nonnegative Matrix Factorization ICML 2020 Sinkhorn Regression IJCAI 2020 Curvilinear Distance Metric Learning NeurIPS 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019 Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees AAAI 2019 Bilevel Distance Metric Learning for Robust Image Recognition NeurIPS 2018 Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018