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2020 – today
- 2024
[j15]Hannan Lu
, Zhi Tian, Pengxu Wei, Haibing Ren, Wangmeng Zuo:
Integrating instance-level knowledge to see the unseen: A two-stream network for video object segmentation. Neurocomputing 602: 127878 (2024)- [j14]Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j13]Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin:
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j12]Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin:
Multi-Person 3D Pose Estimation With Occlusion Reasoning. IEEE Trans. Multim. 26: 878-889 (2024) - [j11]Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin:
Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14233-14246 (2024) - [c40]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2024: 6108-6132 - [c39]Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao:
SAM-COD: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection. ECCV (35) 2024: 315-331 - [c38]Yuchen Liu, Pengxu Wei:
Cross-Prompt Adversarial Attack on Segment Anything Model. ICCBN 2024: 34-39 - [c37]Xingbei Guo, Ziping Ma, Qing Wang, Pengxu Wei:
Towards Real-world Continuous Super-Resolution: Benchmark and Method. ICME 2024: 1-6 - [c36]Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin:
Kepler codebook. ICML 2024 - [c35]Conghan Yue, Zhengwei Peng, Junlong Ma, Shiyan Du, Pengxu Wei, Dongyu Zhang:
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge. ICML 2024 - [c34]Ziyi Dong, Yao Xiao, Pengxu Wei, Liang Lin:
Decoder-Only LLMs are Better Controllers for Diffusion Models. ACM Multimedia 2024: 10957-10965 - [i23]Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin:
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images. CoRR abs/2403.11870 (2024) - [i22]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2404.09790 (2024) - [i21]Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin:
Towards Better Adversarial Purification via Adversarial Denoising Diffusion Training. CoRR abs/2404.14309 (2024) - [i20]Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. CoRR abs/2406.00632 (2024) - [i19]Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao:
SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection. CoRR abs/2408.10760 (2024) - 2023
- [j10]Pengxu Wei, Ziwei Xie, Guanbin Li, Liang Lin:
Taylor Neural Network for Real-World Image Super-Resolution. IEEE Trans. Image Process. 32: 1942-1951 (2023) - [j9]Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin:
Graph-Convolved Factorization Machines for Personalized Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1567-1580 (2023) - [j8]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. IEEE Trans. Multim. 25: 4752-4763 (2023) - [c33]Yang Wu, Pengxu Wei, Liang Lin:
Scene Graph to Image Synthesis via Knowledge Consensus. AAAI 2023: 2856-2865 - [c32]Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li:
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CVPR 2023: 9729-9738 - [c31]Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin:
Masked Images Are Counterfactual Samples for Robust Fine-Tuning. CVPR 2023: 20301-20310 - [c30]Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation. CVPR 2023: 23673-23684 - [c29]Bin Fu, Hongliang He, Pengxu Wei, Jie Chen:
Learning Task-Aligned Mask Query for Instance Segmentation. ICASSP 2023: 1-5 - [c28]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. ICCV 2023: 13187-13196 - [c27]Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen:
TopoSeg: Topology-Aware Nuclear Instance Segmentation. ICCV 2023: 21250-21259 - [c26]Yao Xiao, Pengxu Wei, Cong Liu, Liang Lin:
Adversarially Robust Source-free Domain Adaptation with Relaxed Adversarial Training. ICME 2023: 2681-2686 - [c25]Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin:
FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features. PRCV (2) 2023: 54-65 - [c24]Zhuo Leng, Zesen Cheng, Pengxu Wei, Jie Chen:
Object-Aware Transfer-Based Black-Box Adversarial Attack on Object Detector. PRCV (12) 2023: 278-289 - [i18]Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin:
Masked Images Are Counterfactual Samples for Robust Fine-tuning. CoRR abs/2303.03052 (2023) - [i17]Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li:
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CoRR abs/2305.08293 (2023) - [i16]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. CoRR abs/2309.04803 (2023) - [i15]Conghan Yue, Zhengwei Peng, Junlong Ma, Shiyan Du, Pengxu Wei, Dongyu Zhang:
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge. CoRR abs/2312.10299 (2023) - 2022
- [c23]Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei:
Cross-modal Contrastive Attention Model for Medical Report Generation. COLING 2022: 2388-2397 - [c22]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237 - [c21]Chi Zhang, Yalu Cheng, Pengxu Wei, Hongliang He, Jie Chen:
CENet: Consolidation-and-Exploration Network for Continuous Domain Adaptation. CVPR Workshops 2022: 3425-3431 - [c20]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CVPR 2022: 5657-5666 - [c19]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. ECCV (9) 2022: 297-313 - [c18]Binbin Yang, Junhao Zhong, Pengxu Wei, Dongyu Zhang, Liang Lin:
Cross-Domain Action Recognition via Prototypical Graph Alignment. ICME 2022: 1-6 - [c17]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Discovering Implicit Classes Achieves Open Set Domain Adaptation. ICME 2022: 1-6 - [i14]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Open Set Domain Adaptation By Novel Class Discovery. CoRR abs/2203.03329 (2022) - [i13]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022) - [i12]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CoRR abs/2205.03524 (2022) - [i11]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. CoRR abs/2206.02609 (2022) - [i10]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. CoRR abs/2207.06202 (2022) - [i9]Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. CoRR abs/2208.00428 (2022) - [i8]Ziyi Dong, Pengxu Wei, Liang Lin:
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning. CoRR abs/2211.11337 (2022) - [i7]Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation. CoRR abs/2211.12268 (2022) - [i6]Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye:
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. CoRR abs/2212.08296 (2022) - 2021
- [j7]Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin:
Deep CockTail Networks. Int. J. Comput. Vis. 129(8): 2328-2351 (2021) - [j6]Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin:
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5379-5391 (2021) - [c16]Xipeng Chen, Pengxu Wei, Liang Lin:
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. AAAI 2021: 1089-1096 - [c15]Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen:
CDNet: Centripetal Direction Network for Nuclear Instance Segmentation. ICCV 2021: 4006-4015 - [c14]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV 2021: 8290-8299 - [c13]Yi-Bin Cheng, Xipeng Chen, Junhong Chen, Pengxu Wei, Dongyu Zhang, Liang Lin:
Hierarchical Transformer: Unsupervised Representation Learning for Skeleton-Based Human Action Recognition. ICME 2021: 1-6 - [c12]Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. ACM Multimedia 2021: 5148-5157 - [i5]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. CoRR abs/2108.05617 (2021) - 2020
- [j5]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1069-1082 (2020) - [c11]Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. ECCV (8) 2020: 101-117 - [c10]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422 - [i4]Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. CoRR abs/2008.01928 (2020) - [i3]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020)
2010 – 2019
- 2019
- [j4]Yukai Shi, Jinghui Qin, Pengxu Wei, Wanli Ouyang, Liang Lin:
Perceptual Image Enhancement by Relativistic Discriminant Learning With Cross-Scale Aggregated Representation. IEEE Access 7: 39660-39669 (2019) - [j3]Fang Wan, Pengxu Wei, Zhenjun Han, Jianbin Jiao, Qixiang Ye:
Min-Entropy Latent Model for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2395-2409 (2019) - [j2]Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin:
Progressively diffused networks for semantic visual parsing. Pattern Recognit. 90: 78-86 (2019) - [c9]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c8]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c7]Xiansong Huang, Hongliang He, Pengxu Wei, Chi Zhang, Juncen Zhang, Jie Chen:
Tumor Tissue Segmentation for Histopathological Images. MMAsia 2019: 35:1-35:4 - [i2]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-supervised Learning. CoRR abs/1901.03798 (2019) - [i1]Fang Wan, Pengxu Wei, Zhenjun Han, Jianbin Jiao, Qixiang Ye:
Min-Entropy Latent Model for Weakly Supervised Object Detection. CoRR abs/1902.06057 (2019) - 2018
- [c6]Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye:
Min-Entropy Latent Model for Weakly Supervised Object Detection. CVPR 2018: 1297-1306 - 2017
- [j1]Pengxu Wei, Fei Qin, Fang Wan, Yi Zhu, Jianbin Jiao, Qixiang Ye:
Correlated Topic Vector for Scene Classification. IEEE Trans. Image Process. 26(7): 3221-3234 (2017) - [c5]Xiaodan Zhang, Shengfeng He, Xinhang Song, Pengxu Wei, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao, Rynson W. H. Lau:
Keyword-driven image captioning via Context-dependent Bilateral LSTM. ICME 2017: 781-786 - 2016
- [c4]Fang Wan, Pengxu Wei, Zhenjun Han, Kun Fu, Qixiang Ye:
Weakly supervised object detection with correlation and part suppression. ICIP 2016: 3638-3642 - 2015
- [c3]Wei Ke, Yao Zhang, Pengxu Wei, Qixiang Ye, Jianbin Jiao:
Pedestrian detection via PCA filters based convolutional channel features. ICASSP 2015: 1394-1398 - 2014
- [c2]Xiaogang Chen, Pengxu Wei, Wei Ke, Qixiang Ye, Jianbin Jiao:
Pedestrian Detection with Deep Convolutional Neural Network. ACCV Workshops (1) 2014: 354-365 - 2013
- [c1]Jialing Zou, Xiaogang Chen, Pengxu Wei, Zhenjun Han, Jianbin Jiao:
A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems. PCM 2013: 779-790
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
