Chunjing Xu - RankMe

146 papers A* 58A 2C 4Journal 74Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. CoRR Kai Chen, Ruiyuan Gao, Lanqing Hong, Hang Xu, Xu Jia, Holger Caesar, Dengxin Dai, Bingbing Liu, Dzmitry Tsishkou, Songcen Xu, Chunjing Xu, Qiang Xu, Huchuan Lu, Dit-Yan Yeung
2024	C	`conf`	2D-3D Cross-Modality Network for End-to-End Localization with Probabilistic Supervision. IV Jin Pan, Xiangru Mu, Tong Qin, Chunjing Xu, Ming Yang
2024	C	`conf`	BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight. IV Hang Wu, Zhenghao Zhang, Siyuan Lin, Tong Qin, Jin Pan, Qiang Zhao, Chunjing Xu, Ming Yang
2024	J	`jnl`	BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight. CoRR Hang Wu, Zhenghao Zhang, Siyuan Lin, Tong Qin, Jin Pan, Qiang Zhao, Chunjing Xu, Ming Yang
2024	C	`conf`	E2E Parking: Autonomous Parking by the End-to-end Neural Network on the CARLA Simulator. IV Yunfan Yang, Denglong Chen, Tong Qin, Xiangru Mu, Chunjing Xu, Ming Yang
2024	J	`jnl`	Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. IEEE Trans. Neural Networks Learn. Syst. Yanxin Long, Jianhua Han, Runhui Huang, Hang Xu, Yi Zhu, Chunjing Xu, Xiaodan Liang
2024	C	`conf`	Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. IV Xiangru Mu, Tong Qin, Songan Zhang, Chunjing Xu, Ming Yang
2023	J	`jnl`	A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 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
2023	A*	`conf`	FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow. ICRA Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu, Yuxiang Guan, Zhongxue Gan
2023	J	`jnl`	FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow. CoRR Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu, Yuxiang Guan, Zhongxue Gan
2023	A*	`conf`	NLIP: Noise-Robust Language-Image Pre-training. AAAI Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
2023	J	`jnl`	Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. CoRR 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
2023	J	`jnl`	Topology Reasoning for Driving Scenes. CoRR 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
2023	A*	`conf`	Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CVPR Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
2023	J	`jnl`	Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CoRR Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
2022	—	`conf`	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 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
2022	J	`jnl`	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR 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
2022	A*	`conf`	DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. NeurIPS Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
2022	J	`jnl`	DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. CoRR Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu
2022	A*	`conf`	Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. NeurIPS Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
2022	J	`jnl`	Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. CoRR Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang
2022	A*	`conf`	FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2022	J	`jnl`	GhostNets on Heterogeneous Devices via Cheap Operations. CoRR Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
2022	J	`jnl`	GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
2022	A*	`conf`	Laneformer: Object-Aware Row-Column Transformers for Lane Detection. AAAI Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang
2022	J	`jnl`	Laneformer: Object-aware Row-Column Transformers for Lane Detection. CoRR Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang
2022	A	`conf`	LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. ICCAD Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu
2022	J	`jnl`	Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
2022	A*	`conf`	ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. CVPR Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu
2022	J	`jnl`	ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. CoRR Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu
2022	J	`jnl`	NLIP: Noise-robust Language-Image Pre-training. CoRR Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
2022	—	`conf`	Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. ECCV (20) Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang
2022	J	`jnl`	Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. CoRR Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang
2022	J	`jnl`	P CoRR Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang
2022	A*	`conf`	Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. AAAI Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2022	J	`jnl`	Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. CoRR Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2022	J	`jnl`	Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. CoRR Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu
2022	A*	`conf`	Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu
2021	J	`jnl`	Adder Neural Networks. CoRR Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang
2021	J	`jnl`	AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao
2021	A*	`conf`	AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
2021	A*	`conf`	An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	An Empirical Study of Adder Neural Networks for Object Detection. CoRR Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Data-Free Knowledge Distillation for Image Super-Resolution. CVPR Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Distilling Object Detectors via Decoupled Features. CVPR Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
2021	J	`jnl`	Distilling Object Detectors via Decoupled Features. CoRR Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
2021	J	`jnl`	FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2021	J	`jnl`	GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Greedy Network Enlarging. CoRR Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2021	A*	`conf`	Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Learning Frequency Domain Approximation for Binary Neural Networks. CoRR Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
2021	J	`jnl`	Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
2021	A*	`conf`	Learning Student Networks in the Wild. CVPR Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang
2021	J	`jnl`	Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
2021	—	`conf`	One Million Scenes for Autonomous Driving: ONCE Dataset. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu
2021	A*	`conf`	Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
2021	A*	`conf`	Pre-Trained Image Processing Transformer. CVPR Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
2021	A*	`conf`	Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. ICCV Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	J	`jnl`	Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	A*	`conf`	ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
2021	J	`jnl`	S CoRR Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	A*	`conf`	S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	—	`conf`	SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021	J	`jnl`	SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021	A*	`conf`	SOFT: Softmax-free Transformer with Linear Complexity. NeurIPS Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
2021	J	`jnl`	SOFT: Softmax-free Transformer with Linear Complexity. CoRR Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
2021	A	`conf`	Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. BMVC Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu
2021	A*	`conf`	Transformer in Transformer. NeurIPS Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Transformer in Transformer. CoRR Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Voxel Transformer for 3D Object Detection. ICCV Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	J	`jnl`	Voxel Transformer for 3D Object Detection. CoRR Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	A*	`conf`	Winograd Algorithm for AdderNet. ICML Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Winograd Algorithm for AdderNet. CoRR Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang
2020	A*	`conf`	A Semi-Supervised Assessor of Neural Architectures. CVPR Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	J	`jnl`	A Semi-Supervised Assessor of Neural Architectures. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	J	`jnl`	A Survey on Visual Transformer. CoRR 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
2020	A*	`conf`	AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	J	`jnl`	AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
2020	A*	`conf`	Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
2020	J	`jnl`	Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
2020	A*	`conf`	CARS: Continuous Evolution for Efficient Neural Architecture Search. CVPR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	A*	`conf`	Discernible Image Compression. ACM Multimedia Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian
2020	A*	`conf`	Distilling Portable Generative Adversarial Networks for Image Translation. AAAI Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2020	J	`jnl`	Distilling portable Generative Adversarial Networks for Image Translation. CoRR Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2020	A*	`conf`	Efficient Residual Dense Block Search for Image Super-Resolution. AAAI Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang
2020	A*	`conf`	Frequency Domain Compact 3D Convolutional Neural Networks. CVPR Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	A*	`conf`	GhostNet: More Features From Cheap Operations. CVPR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2020	J	`jnl`	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu
2020	A*	`conf`	Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	J	`jnl`	Kernel Based Progressive Distillation for Adder Neural Networks. CoRR Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	A*	`conf`	Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
2020	J	`jnl`	Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
2020	J	`jnl`	Multi-Task Pruning for Semantic Segmentation Networks. CoRR Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu
2020	—	`conf`	Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. ECCV (6) Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
2020	J	`jnl`	Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. CoRR Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
2020	J	`jnl`	Pre-Trained Image Processing Transformer. CoRR Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
2020	A*	`conf`	SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
2020	J	`jnl`	SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
2020	A*	`conf`	Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
2020	J	`jnl`	Searching for Low-Bit Weights in Quantized Neural Networks. CoRR Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
2020	A*	`conf`	Training Binary Neural Networks through Learning with Noisy Supervision. ICML Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	J	`jnl`	Training Binary Neural Networks through Learning with Noisy Supervision. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	—	`conf`	Unsupervised Image Super-Resolution with an Indirect Supervised Path. CVPR Workshops Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian
2020	J	`jnl`	VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
2020	A*	`conf`	Video Super-Resolution With Temporal Group Attention. CVPR Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
2020	J	`jnl`	Video Super-resolution with Temporal Group Attention. CoRR Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
2020	J	`jnl`	Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
2019	J	`jnl`	AdderNet: Do We Really Need Multiplications in Deep Learning? CoRR Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2019	A*	`conf`	Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	J	`jnl`	Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	A*	`conf`	BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CVPR Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian
2019	J	`jnl`	BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CoRR Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian
2019	J	`jnl`	CARS: Continuous Evolution for Efficient Neural Architecture Search. CoRR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2019	A*	`conf`	Co-Evolutionary Compression for Unpaired Image Translation. ICCV Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
2019	J	`jnl`	Co-Evolutionary Compression for Unpaired Image Translation. CoRR Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
2019	A*	`conf`	Data-Free Learning of Student Networks. ICCV Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
2019	J	`jnl`	Data-Free Learning of Student Networks. CoRR Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
2019	A*	`conf`	Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CVPR Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou
2019	J	`jnl`	Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CoRR Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou
2019	J	`jnl`	Efficient Residual Dense Block Search for Image Super-Resolution. CoRR Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang
2019	J	`jnl`	Full-Stack Filters to Build Minimum Viable CNNs. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	GhostNet: More Features from Cheap Operations. CoRR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2019	A*	`conf`	Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	J	`jnl`	Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	A*	`conf`	LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2019	A*	`conf`	Positive-Unlabeled Compression on the Cloud. NeurIPS Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	Positive-Unlabeled Compression on the Cloud. CoRR Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	RNAS: Architecture Ranking for Powerful Networks. CoRR Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
2019	—	`conf`	Searching for Accurate Binary Neural Architectures. ICCV Workshops Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
2019	J	`jnl`	Searching for Accurate Binary Neural Architectures. CoRR Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
2019	J	`jnl`	Unsupervised Image Super-Resolution with an Indirect Supervised Path. CoRR Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian
2018	A*	`conf`	Learning Versatile Filters for Efficient Convolutional Neural Networks. NeurIPS Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao
2014	A*	`conf`	Transitive Distance Clustering with K-Means Duality. CVPR Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu
2013	—	`conf`	LTD: Local Ternary Descriptor for image matching. ICIA Yongqiang Gao, Yu Qiao, Zhifeng Li, Chunjing Xu
2012	A*	`conf`	Bag of textons for image segmentation via soft clustering and convex shift. CVPR Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu
2011	A*	`conf`	Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking. ACM Multimedia Zhiding Yu, Chunjing Xu, Jianzhuang Liu, Oscar C. Au, Xiaoou Tang
2011	A*	`conf`	Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation. CVPR Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu
2010	A*	`conf`	3D object search through semantic component. ACM Multimedia Chunjing Xu, Zhengwu Zhang, Jianzhuang Liu, Xiaoou Tang
2009	J	`jnl`	2D Shape Matching by Contour Flexibility. IEEE Trans. Pattern Anal. Mach. Intell. Chunjing Xu, Jianzhuang Liu, Xiaoou Tang
2009	A*	`conf`	Boosting 3D object retrieval by object flexibility. ACM Multimedia Boqing Gong, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang
2007	J	`jnl`	Clustering with Transitive Distance and K-Means Duality CoRR Chunjing Xu, Jianzhuang Liu, Xiaoou Tang
2006	A*	`conf`	Detecting irregularity in videos using kernel estimation and KD trees. ACM Multimedia Yun Li, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang