Lu, Ming

35 publications

ICCV 2025 3DRealCar: An In-the-Wild RGB-D Car Dataset with 360-Degree Views Xiaobiao Du, Yida Wang, Haiyang Sun, Zhuojie Wu, Hongwei Sheng, Shuyun Wang, Jiaying Ying, Ming Lu, Tianqing Zhu, Kun Zhan, Xin Yu

NeurIPS 2025 Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Qizhe Zhang, Mengzhen Liu, Lichen Li, Ming Lu, Yuan Zhang, Junwen Pan, Qi She, Shanghang Zhang

ICCV 2025 Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs Qizhe Zhang, Aosong Cheng, Ming Lu, Renrui Zhang, Zhiyong Zhuo, Jiajun Cao, Shaobo Guo, Qi She, Shanghang Zhang

ICCV 2025 EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting Xiaobao Wei, Qingpo Wuwu, Zhongyu Zhao, Zhuangzhe Wu, Nan Huang, Ming Lu, Ningning Ma, Shanghang Zhang

ICCV 2025 GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting Xiaobao Wei, Peng Chen, Guangyu Li, Ming Lu, Hui Chen, Feng Tian

AAAI 2025 GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians Xiaobao Wei, Peng Chen, Ming Lu, Hui Chen, Feng Tian

IJCAI 2025 K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers Haofan Ren, Zunjie Zhu, Xiang Chen, Ming Lu, Rongfeng Lu, Chenggang Yan

CVPR 2025 MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang

NeurIPS 2025 Neural B-Frame Video Compression with Bi-Directional Reference Harmonization Yuxi Liu, Dengchao Jin, Shuai Huo, Jiawen Gu, Chao Zhou, Huihui Bai, Ming Lu, Zhan Ma

ICLR 2025 On Quantizing Neural Representation for Variable-Rate Video Coding Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma

ICLR 2025 ThermalGaussian: Thermal 3D Gaussian Splatting Rongfeng Lu, Hangyu Chen, Zunjie Zhu, Yuhang Qin, Ming Lu, Le Zhang, Chenggang Yan, Anke Xue

AAAI 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks Hongwei Sha, Muchen Dong, Quanyou Luo, Ming Lu, Hao Chen, Zhan Ma

ICML 2025 Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma

NeurIPS 2025 UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens Ruichuan An, Sihan Yang, Renrui Zhang, Zijun Shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang

NeurIPS 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation Xu Zhang, Peiyao Guo, Ming Lu, Zhan Ma

AAAI 2024 Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma

AAAI 2024 Deep Hierarchical Video Compression Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma

ECCV 2024 I-MedSAM: Implicit Medical Image Segmentation with Segment Anything Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang

CVPR 2024 NTO3D: Neural Target Object 3D Reconstruction with Segment Anything Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang

CVPR 2024 Towards Backward-Compatible Continual Learning of Image Compression Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, Fengqing Zhu

ICLR 2024 ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

CVPR 2023 BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang

CVPR 2023 CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Yurong Chen, Shunli Zhang

WACV 2023 Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu

ICCV 2023 QD-BEV : Quantization-Aware View-Guided Distillation for Multi-View 3D Object Detection Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang

ECCV 2022 Adaptive Patch Exiting for Scalable Single Image Super-Resolution Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo

ECCV 2022 Efficient Meta-Tuning for Content-Aware Neural Video Delivery Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang

ECCV 2022 Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu

ICCV 2021 Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu

AAAI 2020 Learned Video Compression via Joint Spatial-Temporal Correlation Exploration Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma

CVPRW 2019 Learned Image Restoration for VVC Intra Coding Ming Lu, Tong Chen, Haojie Liu, Zhan Ma

ICCV 2017 Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer Ming Lu, Hao Zhao, Anbang Yao, Feng Xu, Yurong Chen, Li Zhang

CVPR 2017 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang

CVPR 2017 RON: Reverse Connection with Objectness Prior Networks for Object Detection Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen

CVPRW 2015 Channel-Max, Channel-Drop and Stochastic Max-Pooling Yuchi Huang, Xiuyu Sun, Ming Lu, Ming Xu