Chenfeng Xu

According to our database, Chenfeng Xu authored at least 81 papers between 2008 and 2025.

Collaborative distances:

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

2025

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control.

Yuxin Chen, Jianglan Wei, Chenfeng Xu, Boyi Li, Masayoshi Tomizuka, Andrea Bajcsy, Ran Tian

CoRR, June, 2025

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity.

Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Chenfeng Xu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu

CoRR, June, 2025

Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals.

Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen

CoRR, June, 2025

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

CoRR, May, 2025

Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility.

Yiheng Li, Feng Liang, Dan Kondratyuk, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

CoRR, May, 2025

LDGNet: A Lightweight Difference Guiding Network for Remote Sensing Change Detection.

Chenfeng Xu

CoRR, April, 2025

FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling.

Weiqing Li, Guochao Jiang, Xiangyong Ding, Zhangcheng Tao, Chuzhan Hao, Chenfeng Xu, Yuewei Zhang, Hao Wang

CoRR, April, 2025

Residual Policy Gradient: A Reward View of KL-regularized Objective.

Pengcheng Wang, Xinghao Zhu, Yuxin Chen, Chenfeng Xu, Masayoshi Tomizuka, Chenran Li

CoRR, March, 2025

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives.

Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Yiran Chen, Kurt Keutzer, Chenfeng Xu

CoRR, February, 2025

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

CoRR, February, 2025

Representation of Human arm Dynamic Intents With an Electrical Impedance Tomography (EIT)-Driven Musculoskeletal Model for Human-Robot Interaction.

Enhao Zheng, Xiaodong Liu, Chenfeng Xu, Zhihao Zhou, Qining Wang

IEEE Trans. Robotics, 2025

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives.

Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Looking Backward: Streaming Video-to-Video Translation with Feature Banks.

Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios.

Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander T. Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence.

Qiyang Qian, Hansheng Chen, Masayoshi Tomizuka, Kurt Keutzer, Qianqian Wang, Chenfeng Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes.

Chensheng Peng, Chengwei Zhang, Yixiao Wang, Chenfeng Xu, Yichen Xie, Wenzhao Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Segment Any Motion in Videos.

Nan Huang, Wenzhao Zheng, Chenfeng Xu, Kurt Keutzer, Shanghang Zhang, Angjoo Kanazawa, Qianqian Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians.

Chongjian Ge, Chenfeng Xu, Yuanfeng Ji, Chensheng Peng, Masayoshi Tomizuka, Ping Luo, Mingyu Ding, Varun Jampani, Wei Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment.

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

CoRR, 2024

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision.

Chensheng Peng, Ido Sobol, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu, Or Litany

CoRR, 2024

TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection.

Philip L. Jacobson, Yichen Xie, Mingyu Ding, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Ming C. Wu

CoRR, 2024

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning.

Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Muhammad Zubair Irshad, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg

CoRR, 2024

Law of Vision Representation in MLLMs.

Shijia Yang, Bohan Zhai, Quanzeng You, Jianbo Yuan, Hongxia Yang, Chenfeng Xu

CoRR, 2024

CooPre: Cooperative Pretraining for V2X Cooperative Perception.

Seth Z. Zhao, Hao Xiang, Chenfeng Xu, Xin Xia, Bolei Zhou, Jiaqi Ma

CoRR, 2024

WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning.

Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan

CoRR, 2024

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

CoRR, 2024

NeRF in Robotics: A Survey.

Guangming Wang, Lei Pan, Songyou Peng, Shaohui Liu, Chenfeng Xu, Yanzi Miao, Wei Zhan, Masayoshi Tomizuka, Marc Pollefeys, Hesheng Wang

CoRR, 2024

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

Proceedings of the Robotics: Science and Systems XX, 2024

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

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

Proceedings of the Robotics: Science and Systems XX, 2024

Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering.

Ido Sobol, Chenfeng Xu, Or Litany

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment.

Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation.

Huixin Zhang, Guangming Wang, Xinrui Wu, Chenfeng Xu, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction.

Zhangchen Ye, Tao Jiang, Chenfeng Xu, Yiming Li, Hang Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

Sparse Refinement for Efficient High-Resolution Semantic Segmentation.

Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning.

Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 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

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

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

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