Chenfeng Xu

According to our database, Chenfeng Xu authored at least 45 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Q-SLAM: Quadric Representations for Monocular SLAM.

Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

CoRR, 2024

Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting.

Lawrence Yunliang Chen, Kush Hari, Karthik Dharmarajan, Chenfeng Xu, Quan Vuong, Ken Goldberg

CoRR, 2024

2023

Sparse R-CNN: An End-to-End Framework for Object Detection.

Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Zehuan Yuan, Ping Luo

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Quadric Representations for LiDAR Odometry, Mapping and Localization.

Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., 2023

ADfM-Net: An Adversarial Depth-From-Motion Network Based on Cross Attention and Motion Enhanced.

Yangqi Long, Huimin Yu, Chenfeng Xu, Zhiqiang Deng

IEEE Robotics Autom. Lett., 2023

StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation.

Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Kurt Keutzer

CoRR, 2023

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features.

Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany

CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 2023

What Matters to You? Towards Visual Representation Alignment for Robot Learning.

Ran Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy

CoRR, 2023

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding

CoRR, 2023

Human-oriented Representation Learning for Robotic Manipulation.

Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan

CoRR, 2023

RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving.

Tong Zhao, Chenfeng Xu, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Yintao Wei

CoRR, 2023

HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption.

Bohan Zhai, Shijia Yang, Xiangchen Zhao, Chenfeng Xu, Sheng Shen, Dongdi Zhao, Kurt Keutzer, Manling Li, Tan Yan, Xiangjun Fan

CoRR, 2023

Pre-training on Synthetic Driving Data for Trajectory Prediction.

Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

CoRR, 2023

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection.

Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.

Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection.

Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds.

Chensheng Peng, Guangming Wang, Xian Wan Lo, Xinrui Wu, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Open-Vocabulary Point-Cloud Object Detection without 3D Annotation.

Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

AutoScale: Learning to Scale for Crowd Counting.

Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka

Int. J. Comput. Vis., 2022

Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning.

Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models.

Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

Proceedings of the Computer Vision - ECCV 2022, 2022

PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map.

Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan

Proceedings of the Computer Vision - ECCV 2022, 2022

DetMatch: Two Teachers are Better than One for Joint 2D and 3D Semi-Supervised Object Detection.

Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets.

Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

CoRR, 2021

DCANet: Dense Context-Aware Network for Semantic Segmentation.

Yifu Liu, Chenfeng Xu, Xinyu Jin

CoRR, 2021

You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module.

Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding.

Di Feng, Yiyang Zhou, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sparse R-CNN: End-to-End Object Detection With Learnable Proposals.

Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Dual-Stream Network with Scale Context Selection Attention Module for Semantic Segmentation.

Yifu Liu, Chenfeng Xu, Zhihong Chen, Chao Chen, Han Zhao, Xinyu Jin

Neural Process. Lett., 2020

Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda

CoRR, 2020

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.

Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

Proceedings of the Computer Vision - ECCV 2020, 2020

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting.

Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai

CoRR, 2019

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting.

Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles.

Jian Chen, Chenfeng Xu, Chengshuai Wu, Weihua Xu

IEEE Trans. Ind. Informatics, 2018

Neural Network-Based State of Charge Observer Design for Lithium-Ion Batteries.

Jian Chen, Quan Ouyang, Chenfeng Xu, Hongye Su

IEEE Trans. Control. Syst. Technol., 2018

2017

Real-Time Adaptive Control of a Fuel Cell/Battery Hybrid Power System With Guaranteed Stability.

Chengshuai Wu, Jian Chen, Chenfeng Xu, Zhiyang Liu

IEEE Trans. Control. Syst. Technol., 2017

2016

Adaptive control strategy of a fuel cell/battery hybrid power system.

Chengshuai Wu, Jian Chen, Chenfeng Xu, Zhiyang Liu

Proceedings of the 2016 American Control Conference, 2016

Cell balancing control for serially connected lithium-ion batteries.

Quan Ouyang, Jian Chen, Chenfeng Xu, Hongye Su

Proceedings of the 2016 American Control Conference, 2016

2011

Evaluation and Optimization of Kernel File Readaheads Based on Markov Decision Models.

Chenfeng Xu, Hongsheng Xi, Fengguang Wu

Comput. J., 2011

2010

On-line identification of new coal type using joint probability density arbiter.

Lijun Xu, Cheng Tan, Xiaomin Li, Chenfeng Xu

Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

2008

On the design of a new Linux readahead framework.

Fengguang Wu, Hongsheng Xi, Chenfeng Xu

ACM SIGOPS Oper. Syst. Rev., 2008

Event-related optimization for a class of resource location with admission control.

Chenfeng Xu, Jian Yang, Hongsheng Xi, Qi Jiang, Baoqun Yin

Proceedings of the International Joint Conference on Neural Networks, 2008