Chunjing Xu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 134

Top Venues

CoRR

CVPR

NeurIPS

AAAI

Publications

Yunfan Yang, Denglong Chen, Tong Qin, Xiangru Mu, Chunjing Xu, Ming Yang
E2E Parking: Autonomous Parking by the End-to-end Neural Network on the CARLA Simulator. IV (2024)
Jin Pan, Xiangru Mu, Tong Qin, Chunjing Xu, Ming Yang
2D-3D Cross-Modality Network for End-to-End Localization with Probabilistic Supervision. IV (2024)
Hang Wu, Zhenghao Zhang, Siyuan Lin, Tong Qin, Jin Pan, Qiang Zhao, Chunjing Xu, Ming Yang
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight. CoRR (2024)
Hang Wu, Zhenghao Zhang, Siyuan Lin, Tong Qin, Jin Pan, Qiang Zhao, Chunjing Xu, Ming Yang
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight. IV (2024)
Xiangru Mu, Tong Qin, Songan Zhang, Chunjing Xu, Ming Yang
Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. IV (2024)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
NLIP: Noise-Robust Language-Image Pre-training. AAAI (2023)
Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CoRR (2023)
Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li
Topology Reasoning for Driving Scenes. CoRR (2023)
Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. CoRR (2023)
Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu, Yuxiang Guan, Zhongxue Gan
FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow. ICRA (2023)
Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu, Yuxiang Guan, Zhongxue Gan
FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow. CoRR (2023)
Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CVPR (2023)
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. AAAI (2022)
Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. CoRR (2022)
Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. CoRR (2022)
Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang
Laneformer: Object-aware Row-Column Transformers for Lane Detection. CoRR (2022)
Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang
Laneformer: Object-Aware Row-Column Transformers for Lane Detection. AAAI (2022)
Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS (2022)
Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) (2022)
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR (2022)
Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR (2022)
Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. CVPR (2022)
Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang
OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. CoRR (2022)
Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. NeurIPS (2022)
Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu
LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. ICCAD (2022)
Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130 (4) (2022)
Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. CoRR (2022)
Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. NeurIPS (2022)
Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
NLIP: Noise-robust Language-Image Pre-training. CoRR (2022)
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. CoRR (2022)
Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang
Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. ECCV (20) (2022)
Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
Greedy Network Enlarging. CoRR (2021)
Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR (2021)
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
Transformer in Transformer. CoRR (2021)
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CoRR (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CVPR (2021)
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
Pre-Trained Image Processing Transformer. CVPR (2021)
Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV (2021)
Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR (2021)
Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR (2021)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR (2021)
Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR (2021)
Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR (2021)
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu
One Million Scenes for Autonomous Driving: ONCE Dataset. NeurIPS Datasets and Benchmarks (2021)
Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang
Winograd Algorithm for AdderNet. ICML (2021)
Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
SOFT: Softmax-free Transformer with Linear Complexity. CoRR (2021)
Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
SOFT: Softmax-free Transformer with Linear Complexity. NeurIPS (2021)
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR (2021)
Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR (2021)
Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. ICCV (2021)
Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang
Data-Free Knowledge Distillation for Image Super-Resolution. CVPR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS (2021)
Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang
Winograd Algorithm for AdderNet. CoRR (2021)
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
Voxel Transformer for 3D Object Detection. CoRR (2021)
Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS (2021)
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR (2021)
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu
One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR (2021)
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang
Adder Neural Networks. CoRR (2021)
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
Transformer in Transformer. NeurIPS (2021)
Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR (2021)
Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu
Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. BMVC (2021)
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
Voxel Transformer for 3D Object Detection. ICCV (2021)
Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang
Learning Student Networks in the Wild. CVPR (2021)
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS (2021)
Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
An Empirical Study of Adder Neural Networks for Object Detection. CoRR (2021)
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
Pre-Trained Image Processing Transformer. CoRR (2020)
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
Kernel Based Progressive Distillation for Adder Neural Networks. CoRR (2020)
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
A Semi-Supervised Assessor of Neural Architectures. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
A Semi-Supervised Assessor of Neural Architectures. CVPR (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Training Binary Neural Networks through Learning with Noisy Supervision. ICML (2020)
Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian
Discernible Image Compression. ACM Multimedia (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR (2020)
Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. ECCV (6) (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR (2020)
Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
Distilling Portable Generative Adversarial Networks for Image Translation. AAAI (2020)
Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR (2020)
Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
Video Super-resolution with Temporal Group Attention. CoRR (2020)
Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang
Efficient Residual Dense Block Search for Image Super-Resolution. AAAI (2020)
Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. CoRR (2020)
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS (2020)
Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
Searching for Low-Bit Weights in Quantized Neural Networks. CoRR (2020)
Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu
Multi-Task Pruning for Semantic Segmentation Networks. CoRR (2020)
Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR (2020)
Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
Video Super-Resolution With Temporal Group Attention. CVPR (2020)
Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR (2020)
Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR (2020)
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
GhostNet: More Features From Cheap Operations. CVPR (2020)

Chunjing Xu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chunjing Xu