Lu, Hao

46 publications

NeurIPS 2025 DrivingRecon: Large 4D Gaussian Reconstruction Model for Autonomous Driving Hao Lu, Tianshuo Xu, Wenzhao Zheng, Yunpeng Zhang, Wei Zhan, Dalong Du, Masayoshi Tomizuka, Kurt Keutzer, Ying-Cong Chen

CVPR 2025 MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Yifan Liu, Keyu Fan, Weihao Yu, Chenxin Li, Hao Lu, Yixuan Yuan

NeurIPS 2025 OCRBench V2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Ling Fu, Zhebin Kuang, Jiajun Song, Mingxin Huang, Biao Yang, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai

CVPR 2025 Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Yuting Zhang, Hao Lu, Qingyong Hu, Yin Wang, Kaishen Yuan, Xin Liu, Kaishun Wu

ICCV 2025 RhythmGuassian: Repurposing Generalizable Gaussian Model for Remote Physiological Measurement Hao Lu, Yuting Zhang, Jiaqi Tang, Bowen Fu, Wenhang Ge, Wei Wei, Kaishun Wu, Yingcong Chen

AAAI 2025 Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering Hao Lu, Yunpeng Zhang, Guoqing Wang, Qing Lian, Dalong Du, Ying-Cong Chen

AAAI 2025 Training Matting Models Without Alpha Labels Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue

ECCV 2024 An Incremental Unified Framework for Small Defect Inspection Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen, Fugee Tsung

ICLR 2024 Backdoor Contrastive Learning via Bi-Level Trigger Optimization Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin

ECCV 2024 Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement Haodong Li, Hao Lu, Yingcong Chen

CVPRW 2024 GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing Hao Lu, Xuesong Niu, Jiyao Wang, Yin Wang, Qingyong Hu, Jiaqi Tang, Yuting Zhang, Kaishen Yuan, Bin Huang, Zitong Yu, Dengbo He, Shuiguang Deng, Hao Chen, Yingcong Chen, Shiguang Shan

NeurIPS 2024 HAWK: Learning to Understand Open-World Video Anomalies Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen

CVPR 2024 In-Context Matting He Guo, Zixuan Ye, Zhiguo Cao, Hao Lu

ICMLW 2024 Learning the Boundary-to-Domain Mapping Using Lifting Product Fourier Neural Operators for Partial Differential Equations Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu

ECCV 2024 SCAPE: A Simple and Strong Category-Agnostic Pose Estimator Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu

CVPR 2024 Unifying Automatic and Interactive Matting with Pretrained ViTs Zixuan Ye, Wenze Liu, He Guo, Yujia Liang, Chaoyi Hong, Hao Lu, Zhiguo Cao

AAAI 2024 Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting Zhicheng Wang, Liwen Xiao, Zhiguo Cao, Hao Lu

ICCV 2023 ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer Mingxin Huang, Jiaxin Zhang, Dezhi Peng, Hao Lu, Can Huang, Yuliang Liu, Xiang Bai, Lianwen Jin

ICCV 2023 Fast Full-Frame Video Stabilization with Iterative Optimization Weiyue Zhao, Xin Li, Zhan Peng, Xianrui Luo, Xinyi Ye, Hao Lu, Zhiguo Cao

AAAI 2023 Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression Zhiyu Pan, Yinpeng Chen, Jiale Zhang, Hao Lu, Zhiguo Cao, Weicai Zhong

AAAI 2023 Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu

AAAI 2023 Learning Second-Order Attentive Context for Efficient Correspondence Pruning Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao

ICCV 2023 Learning to Upsample by Learning to Sample Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao

CVPR 2023 Neuron Structure Modeling for Generalizable Remote Physiological Measurement Hao Lu, Zitong Yu, Xuesong Niu, Ying-Cong Chen

ICCV 2023 Point-Query Quadtree for Crowd Counting, Localization, and More Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu

ECCV 2022 3D Instances as 1d Kernels Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong

CVPR 2022 BokehMe: When Neural Rendering Meets Classical Rendering Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang

ECCV 2022 FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao

ECCV 2022 MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao

CVPR 2022 Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao

ECCV 2022 Robust Object Detection with Inaccurate Bounding Boxes Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang

NeurIPS 2022 SAPA: Similarity-Aware Point Affiliation for Feature Upsampling Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao

ICML 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvari, Mengdi Wang

CVPR 2021 Composing Photos like a Photographer Chaoyi Hong, Shuaiyuan Du, Ke Xian, Hao Lu, Zhiguo Cao, Weicai Zhong

CVPR 2021 Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement Hao Lu, Hu Han, S. Kevin Zhou

ICCVW 2021 Dynamic Color Transform for Wheat Head Detection Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao

CVPR 2021 Learning Affinity-Aware Upsampling for Deep Image Matting Yutong Dai, Hao Lu, Chunhua Shen

ICCV 2021 TransView: Inside, Outside, and Across the Cropping View Boundaries Zhiyu Pan, Zhiguo Cao, Kewei Wang, Hao Lu, Weicai Zhong

ICCVW 2021 VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao

ICLR 2020 A Learning-Based Iterative Method for Solving Vehicle Routing Problems Hao Lu, Xingwen Zhang, Shuang Yang

CVPRW 2020 The 1st Challenge on Remote Physiological Signal Sensing (RePSS) Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, Shiguang Shan

ECCV 2020 Weighing Counts: Sequential Crowd Counting by Reinforcement Learning Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen

ICMLW 2019 Crowdsourcing Reinforcement Learning to Optimize Knee Replacement Pathway Hao Lu, Mengdi Wang

ICML 2018 The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference Hao Lu, Yuan Cao, Zhuoran Yang, Junwei Lu, Han Liu, Zhaoran Wang

ICCV 2017 When Unsupervised Domain Adaptation Meets Tensor Representations Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel

AAAI 2010 Assisting Users with Clustering Tasks by Combining Metric Learning and Classification Sumit Basu, Danyel Fisher, Steven Mark Drucker, Hao Lu