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2020 – today
- 2024
[j5]Yanxin Long, Jianhua Han, Runhui Huang, Hang Xu, Yi Zhu, Chunjing Xu, Xiaodan Liang:
Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16277-16287 (2024)- [c72]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: 906-912 - [c71]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: 2375-2382 - [c70]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: 2383-2390 - [c69]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: 3212-3219 - [i68]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 abs/2407.08526 (2024) - 2023
- [j4]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): 87-110 (2023) - [c68]Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-Robust Language-Image Pre-training. AAAI 2023: 926-934 - [c67]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: 9611-9621 - [c66]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: 1616-1622 - [i67]Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang:
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CoRR abs/2303.01788 (2023) - [i66]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 abs/2304.05277 (2023) - [i65]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 abs/2305.01622 (2023) - [i64]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 abs/2312.03408 (2023) - 2022
- [j3]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): 1050-1069 (2022) - [j2]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): 7731-7746 (2022) - [c65]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: 799-807 - [c64]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: 1854-1862 - [c63]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: 10697-10707 - [c62]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: 275-292 - [c61]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: 406-423 - [c60]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: 124:1-124:9 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [i63]Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian:
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR abs/2201.03297 (2022) - [i62]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 abs/2202.06767 (2022) - [i61]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 abs/2203.07724 (2022) - [i60]Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang:
Laneformer: Object-aware Row-Column Transformers for Lane Detection. CoRR abs/2203.09830 (2022) - [i59]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 abs/2204.04428 (2022) - [i58]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 abs/2205.13267 (2022) - [i57]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. CoRR abs/2207.08455 (2022) - [i56]Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang:
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. CoRR abs/2209.08953 (2022) - [i55]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 abs/2209.09407 (2022) - [i54]Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang:
P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. CoRR abs/2211.00849 (2022) - [i53]Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-robust Language-Image Pre-training. CoRR abs/2212.07086 (2022) - 2021
- [c55]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: 280 - [c54]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CVPR 2021: 2154-2164 - [c53]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: 2653-2662 - [c52]Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu:
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR 2021: 4411-4420 - [c51]Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang:
Learning Student Networks in the Wild. CVPR 2021: 6428-6437 - [c50]Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang:
Data-Free Knowledge Distillation for Image Super-Resolution. CVPR 2021: 7852-7861 - [c49]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: 10896-10906 - [c48]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: 12299-12310 - [c47]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR 2021: 15648-15657 - [c46]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: 2703-2712 - [c45]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. ICCV 2021: 3144-3153 - [c44]Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang:
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV 2021: 4288-4297 - [c43]Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. ICML 2021: 6307-6315 - [c42]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021: 6894-6905 - [c41]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 - [c40]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: 14555-14566 - [c39]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. NeurIPS 2021: 15908-15919 - [c38]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: 21297-21309 - [c37]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 - [c36]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021: 25553-25565 - [i52]Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR abs/2101.08525 (2021) - [i51]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 abs/2101.10015 (2021) - [i50]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. CoRR abs/2103.00112 (2021) - [i49]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR abs/2103.00841 (2021) - [i48]Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang:
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR abs/2103.08357 (2021) - [i47]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CoRR abs/2103.14475 (2021) - [i46]Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. CoRR abs/2105.05530 (2021) - [i45]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. CoRR abs/2105.14202 (2021) - [i44]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 abs/2106.11037 (2021) - [i43]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 abs/2106.11118 (2021) - [i42]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR abs/2107.03453 (2021) - [i41]Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR abs/2107.06263 (2021) - [i40]Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. CoRR abs/2108.00177 (2021) - [i39]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i38]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 abs/2109.02499 (2021) - [i37]Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR abs/2109.09310 (2021) - [i36]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 abs/2110.11945 (2021) - [i35]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 abs/2111.07783 (2021) - [i34]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. CoRR abs/2112.13608 (2021) - 2020
- [c35]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: 3585-3592 - [c34]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: 5964-5971 - [c33]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. AAAI 2020: 12007-12014 - [c32]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: 1465-1474 - [c31]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features From Cheap Operations. CVPR 2020: 1577-1586 - [c30]Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
Frequency Domain Compact 3D Convolutional Neural Networks. CVPR 2020: 1638-1647 - [c29]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: 1807-1816 - [c28]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. CVPR 2020: 1826-1835 - [c27]Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CVPR Workshops 2020: 1924-1933 - [c26]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: 8005-8014 - [c25]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: 614-630 - [c24]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. ICML 2020: 4017-4026 - [c23]Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian:
Discernible Image Compression. ACM Multimedia 2020: 1561-1569 - [c22]Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang:
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS 2020 - [c21]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS 2020 - [c20]Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS 2020 - [c19]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 - [i33]Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian:
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR abs/2002.00555 (2020) - [i32]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 abs/2002.11022 (2020) - [i31]Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling portable Generative Adversarial Networks for Image Translation. CoRR abs/2003.03519 (2020) - [i30]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 abs/2005.06821 (2020) - [i29]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 abs/2005.14446 (2020) - [i28]Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu:
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. CoRR abs/2007.05146 (2020) - [i27]Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu:
Multi-Task Pruning for Semantic Segmentation Networks. CoRR abs/2007.08386 (2020) - [i26]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 abs/2007.10595 (2020) - [i25]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. CoRR abs/2009.08695 (2020) - [i24]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR abs/2009.08891 (2020) - [i23]Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. CoRR abs/2009.13044 (2020) - [i22]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR abs/2010.04871 (2020) - [i21]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR abs/2010.10732 (2020) - [i20]Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang:
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR abs/2010.14819 (2020) - [i19]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:
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR abs/2011.01507 (2020) - [i18]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 abs/2012.00364 (2020) - [i17]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 Visual Transformer. CoRR abs/2012.12556 (2020)
2010 – 2019
- 2019
- [c18]Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CVPR 2019: 1057-1066 - [c17]Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian:
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CVPR 2019: 1145-1154 - [c16]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. ICCV 2019: 3234-3243 - [c15]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. ICCV 2019: 3513-3521 - [c14]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. ICCV Workshops 2019: 2041-2044 - [c13]Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML 2019: 7005-7014 - [c12]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI 2019: 2456-2462 - [c11]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI 2019: 3001-3007 - [c10]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. NeurIPS 2019: 2561-2570 - [i16]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. CoRR abs/1904.01186 (2019) - [i15]Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian:
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CoRR abs/1904.03358 (2019) - [i14]Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CoRR abs/1904.12681 (2019) - [i13]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. CoRR abs/1907.10804 (2019) - [i12]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR abs/1907.11837 (2019) - [i11]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR abs/1907.11840 (2019) - [i10]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
Full-Stack Filters to Build Minimum Viable CNNs. CoRR abs/1908.02023 (2019) - [i9]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. CoRR abs/1909.04977 (2019) - [i8]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. CoRR abs/1909.07378 (2019) - [i7]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. CoRR abs/1909.09757 (2019) - [i6]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. CoRR abs/1909.11409 (2019) - [i5]Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. CoRR abs/1910.01523 (2019) - [i4]Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CoRR abs/1910.02593 (2019) - [i3]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features from Cheap Operations. CoRR abs/1911.11907 (2019) - [i2]Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? CoRR abs/1912.13200 (2019) - 2018
- [c9]Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao:
Learning Versatile Filters for Efficient Convolutional Neural Networks. NeurIPS 2018: 1615-1625 - 2014
- [c8]Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu:
Transitive Distance Clustering with K-Means Duality. CVPR 2014: 987-994 - 2013
- [c7]Yongqiang Gao, Yu Qiao, Zhifeng Li, Chunjing Xu:
LTD: Local Ternary Descriptor for image matching. ICIA 2013: 1375-1380 - 2012
- [c6]Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu:
Bag of textons for image segmentation via soft clustering and convex shift. CVPR 2012: 781-788 - 2011
- [c5]Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu:
Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation. CVPR 2011: 2201-2208 - [c4]Zhiding Yu, Chunjing Xu, Jianzhuang Liu, Oscar C. Au, Xiaoou Tang:
Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking. ACM Multimedia 2011: 1297-1300 - 2010
- [c3]Chunjing Xu, Zhengwu Zhang, Jianzhuang Liu, Xiaoou Tang:
3D object search through semantic component. ACM Multimedia 2010: 959-962
2000 – 2009
- 2009
- [j1]Chunjing Xu, Jianzhuang Liu, Xiaoou Tang:
2D Shape Matching by Contour Flexibility. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 180-186 (2009) - [c2]Boqing Gong, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang:
Boosting 3D object retrieval by object flexibility. ACM Multimedia 2009: 525-528 - 2007
- [i1]Chunjing Xu, Jianzhuang Liu, Xiaoou Tang:
Clustering with Transitive Distance and K-Means Duality. CoRR abs/0711.3594 (2007) - 2006
- [c1]Yun Li, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang:
Detecting irregularity in videos using kernel estimation and KD trees. ACM Multimedia 2006: 639-642
Coauthor Index
[j4] [j3] [j2] [i63] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c44] [c43] [c42] [c39] [c36] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i41] [i40] [i37] [i34] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i16] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i3] [i2] [c9]
[j3] [j2] [i63] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [c44] [c42] [c36] [i49] [i48] [i47] [i45] [i41] [i37] [i34] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c25] [c24] [c23] [c21] [c20] [c19] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [i24] [i23] [i22] [i21] [i18] [c16] [c15] [c13] [c12] [c11] [c10] [i16] [i13] [i12] [i11] [i10] [i9] [i7] [i6] [i5] [i3] [i2] [c9]
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