Jun Li

Accelerating Autoregressive Video Diffusion via History-Guided Cache and Residual Correction CVPR 2026 Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing CVPR 2026 Bezier Degradation Modeling for LiDAR-based Human Motion Capture CVPR 2026 DVAR: Dynamic Visual Autoregressive Modeling for Image Super-Resolution CVPR 2026 RMLer: Synthesizing Novel Objects Across Diverse Categories via Reinforcement Mixing Learning AAAI 2026 Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion CVPR 2025 Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video AAAI 2025 DuCos: Duality Constrained Depth Super-Resolution via Foundation Model ICCV 2025 Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking AAAI 2025 Guided Real Image Dehazing Using YCbCr Color Space AAAI 2025 Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion AAAI 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation AAAI 2025 RAGD: Regional-Aware Diffusion Model for Text-to-Image Generation ICCV 2025 Volume-Aware Distance for Robust Similarity Learning ICML 2025 AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization AAAI 2024 DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain NeurIPS 2024 Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem ECCV 2024 Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance CVPR 2024 MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space NeurIPS 2024 Novel Object Synthesis via Adaptive Text-Image Harmony NeurIPS 2024 TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling ECCV 2024 Tri-Perspective View Decomposition for Geometry-Aware Depth Completion CVPR 2024 Creative Birds: Self-Supervised Single-View 3D Style Transfer ICCV 2023 Curriculum Temperature for Knowledge Distillation AAAI 2023 DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion AAAI 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion ICML 2023 Recurrent Structure Attention Guidance for Depth Super-resolution AAAI 2023 Structure Flow-Guided Network for Real Depth Super-resolution AAAI 2023 Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation CVPR 2022 Learning Contrastive Embedding in Low-Dimensional Space NeurIPS 2022 Linearity-Aware Subspace Clustering AAAI 2022 Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion ECCV 2022 RigNet: Repetitive Image Guided Network for Depth Completion ECCV 2022 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection CVPR 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021 Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark ICCV 2021 Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration ICCV 2021 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NeurIPS 2020 Lifelong Spectral Clustering AAAI 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Adversarial Graph Embedding for Ensemble Clustering IJCAI 2019 Cross-X Learning for Fine-Grained Visual Categorization ICCV 2019 Curvilinear Distance Metric Learning NeurIPS 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Adversarial Metric Learning IJCAI 2018 Large-scale Subspace Clustering by Fast Regression Coding IJCAI 2017 Projective Low-rank Subspace Clustering via Learning Deep Encoder IJCAI 2017