Li, Hongyang

59 publications

ICCV 2025 Decoupled Diffusion Sparks Adaptive Scene Generation Yunsong Zhou, Naisheng Ye, William Ljungbergh, Tianyu Li, Jiazhi Yang, Zetong Yang, Hongzi Zhu, Christoffer Petersson, Hongyang Li

ICCV 2025 Detect Anything 3D in the Wild Hanxue Zhang, Haoran Jiang, Qingsong Yao, Yanan Sun, Renrui Zhang, Hao Zhao, Hongyang Li, Hongzi Zhu, Zetong Yang

ICCV 2025 ETA: Efficiency Through Thinking Ahead, a Dual Approach to Self-Driving with Large Models Shadi Hamdan, Chonghao Sima, Zetong Yang, Hongyang Li, Fatma Guney

CoRL 2025 Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

NeurIPS 2025 ReSim: Reliable World Simulation for Autonomous Driving Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen

NeurIPS 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li

ECCV 2024 DriveLM: Driving with Graph Visual Question Answering Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Zhang Hanxue, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li

ECCV 2024 Embodied Understanding of Driving Scenarios Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li

CVPR 2024 FastMAC: Stochastic Spectral Sampling of Correspondence Graph Yifei Zhang, Hao Zhao, Hongyang Li, Siheng Chen

ECCV 2024 Fully Sparse 3D Occupancy Prediction Haisong Liu, Yang Chen, Haiguang Wang, Zetong Yang, Tianyu Li, Jia Zeng, Li Chen, Hongyang Li, Limin Wang

CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

CoRL 2024 Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving Kairui Ding, Boyuan Chen, Yuchen Su, Huan-ang Gao, Bu Jin, Chonghao Sima, Xiaohui Li, Wuqiang Zhang, Paul Barsch, Hongyang Li, Hao Zhao

NeurIPSW 2024 LLM4Drive: A Survey of Large Language Models for Autonomous Driving Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan

ECCV 2024 LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang

ICLR 2024 LaneSegNet: mAP Learning with Lane Segment Perception for Autonomous Driving Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li

NeurIPS 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

NeurIPS 2024 Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving Haochen Liu, Li Chen, Yu Qiao, Chen Lv, Hongyang Li

AAAI 2024 Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation Shilin Yan, Renrui Zhang, Ziyu Guo, Wenchao Chen, Wei Zhang, Hongyang Li, Yu Qiao, Hao Dong, Zhongjiang He, Peng Gao

IJCAI 2024 SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome, Oliver Njeru, Miguel Shinyenyi, Catherine Wanjiru, Sekou L. Remy, William Ogallo, Itai Guez, Parthasarathy Suryanarayanan, Joseph A. Morrone, Shreyans Sethi, Seung-gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy D. Cornell

ECCV 2024 TAPTR: Tracking Any Point with Transformers as Detection Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Lei Zhang

NeurIPS 2024 TAPTRv2: Attention-Based Position Update Improves Tracking Any Point Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Feng Li, Tianhe Ren, Bohan Li, Lei Zhang

NeurIPS 2024 Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li

CVPR 2024 Visual In-Context Prompting Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao

CVPR 2024 Visual Point Cloud Forecasting Enables Scalable Autonomous Driving Zetong Yang, Li Chen, Yanan Sun, Hongyang Li

CVPR 2023 BEVFormer V2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai

ICCV 2023 DFA3D: 3D Deformable Attention for 2D-to-3D Feature Lifting Hongyang Li, Hao Zhang, Zhaoyang Zeng, Shilong Liu, Feng Li, Tianhe Ren, Lei Zhang

ICCV 2023 Density-Invariant Features for Distant Point Cloud Registration Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo

ICCV 2023 Detection Transformer with Stable Matching Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang

CVPR 2023 Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li

ICCV 2023 DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li

NeurIPS 2023 Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li

CVPR 2023 Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR Feng Li, Ailing Zeng, Shilong Liu, Hao Zhang, Hongyang Li, Lei Zhang, Lionel M. Ni

NeurIPS 2023 OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li

CVPR 2023 Planning-Oriented Autonomous Driving Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li

ICLR 2023 Policy Pre-Training for Autonomous Driving via Self-Supervised Geometric Modeling Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao

ICCV 2023 Scene as Occupancy Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, Hongyang Li

CVPR 2023 Stare at What You See: Masked Image Modeling Without Reconstruction Hongwei Xue, Peng Gao, Hongyang Li, Yu Qiao, Hao Sun, Houqiang Li, Jiebo Luo

CVPR 2023 Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li

ICCV 2023 Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, Li Zhang

CVPR 2022 Align Representations with Base: A New Approach to Self-Supervised Learning Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang

ECCV 2022 BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai

ECCV 2022 DCL-Net: Deep Correspondence Learning Network for 6d Pose Estimation Hongyang Li, Jiehong Lin, Kui Jia

ECCV 2022 PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan

ECCV 2022 ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao

CoRL 2022 Towards Capturing the Temporal Dynamics for Trajectory Prediction: A Coarse-to-Fine Approach Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao

NeurIPS 2022 Trajectory-Guided Control Prediction for End-to-End Autonomous Driving: A Simple yet Strong Baseline Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao

CVPR 2021 Exploring Intermediate Representation for Monocular Vehicle Pose Estimation Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng

CVPR 2021 Monocular 3D Object Detection: An Extrinsic Parameter Free Approach Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang

NeurIPS 2021 Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia

CVPR 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

AAAI 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin

NeurIPS 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin

ECCV 2020 Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin

AAAI 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin

ICLR 2019 Feature Intertwiner for Object Detection Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang

ECCV 2018 Neural Network Encapsulation Hongyang Li, Xiaoyang Guo, Bo DaiWanli Ouyang, Xiaogang Wang

ICCV 2017 Recurrent Scale Approximation for Object Detection in CNN Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang

ICML 2016 Multi-Bias Non-Linear Activation in Deep Neural Networks Hongyang Li, Wanli Ouyang, Xiaogang Wang

ICCV 2015 Learning Deep Representation with Large-Scale Attributes Wanli Ouyang, Hongyang Li, Xingyu Zeng, Xiaogang Wang