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ORCIDYu Qiao 0001
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- affiliation: University of Tokyo, Graduate School of Information Science and Technology
Other persons with the same name
- Yu Qiao — disambiguation page
- Yu Qiao 0002 — Biomedical Imaging Lab, Singapore
- Yu Qiao 0003
![[0000-0001-8180-9554]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8180-9554")
— Shanghai Jiao Tong University, Department of Automation, Institute of Image Processing and Pattern Recognition, China (and 1 more) - Yu Qiao 0004 — Nanjing University of Information Science and Technology, School of Computer and Software, China
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2020 – today
- 2021
[j49]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Multi-label ocular disease classification with a dense correlation deep neural network. Biomed. Signal Process. Control. 63: 102167 (2021)- 2020
- [j48]Yuping Ye, Zhan Song, Junguang Guo, Yu Qiao:
SIAT-3DFE: A High-Resolution 3D Facial Expression Dataset. IEEE Access 8: 48205-48211 (2020) - [j47]Jiaze Wang, Xiaojiang Peng, Yu Qiao:
Cascade multi-head attention networks for action recognition. Comput. Vis. Image Underst. 192: 102898 (2020) - [j46]Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao, Qiang Peng:
Product image recognition with guidance learning and noisy supervision. Comput. Vis. Image Underst. 196: 102963 (2020) - [j45]Xiaoxing Zeng, Xiaojiang Peng, Yali Wang, Yu Qiao:
Finding hard faces with better proposals and classifier. Mach. Vis. Appl. 31(7): 61 (2020) - [j44]Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng:
Learning label correlations for multi-label image recognition with graph networks. Pattern Recognit. Lett. 138: 378-384 (2020) - [j43]Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao:
Progressive Object Transfer Detection. IEEE Trans. Image Process. 29: 986-1000 (2020) - [j42]Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, Yu Qiao:
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. IEEE Trans. Image Process. 29: 4057-4069 (2020) - [j41]Xianyu Chen, Yali Wang, Jianzhuang Liu, Yu Qiao:
DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection. IEEE Trans. Image Process. 29: 7765-7778 (2020) - [j40]Haidong Lan, Jintao Meng, Christian Hundt, Bertil Schmidt, Minwen Deng, Xiaoning Wang, Weiguo Liu, Yu Qiao, Shengzhong Feng:
FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures. IEEE Trans. Parallel Distributed Syst. 31(3): 580-594 (2020) - [c148]Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao:
Dynamic Sampling Network for Semantic Segmentation. AAAI 2020: 10794-10801 - [c147]Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. AAAI 2020: 12500-12507 - [c146]Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. AAAI 2020: 12653-12660 - [c145]Peiqin Zhuang, Yali Wang, Yu Qiao:
Learning Attentive Pairwise Interaction for Fine-Grained Classification. AAAI 2020: 13130-13137 - [c144]Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao:
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM 2020: 2853-2860 - [c143]Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao:
SmallBigNet: Integrating Core and Contextual Views for Video Classification. CVPR 2020: 1089-1098 - [c142]Sijie Ji, Kai Wang, Xiaojiang Peng, Jianfei Yang, Zhaoyang Zeng, Yu Qiao:
Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild. CVPR Workshops 2020: 1657-1661 - [c141]Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CVPR 2020: 6896-6905 - [c140]Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee, Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong, Woonsung Park, Wonyong Seo, Munchurl Kim, Wenhao Zhang, Pablo Navarrete Michelini, Kazutoshi Akita, Norimichi Ukita:
AIM 2020 Challenge on Video Temporal Super-Resolution. ECCV Workshops (4) 2020: 23-40 - [c139]Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong:
Enhanced Quadratic Video Interpolation. ECCV Workshops (4) 2020: 41-56 - [c138]Jingwen He, Chao Dong, Yu Qiao:
Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration. ECCV (20) 2020: 53-68 - [c137]Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao:
Mining Inter-Video Proposal Relations for Video Object Detection. ECCV (21) 2020: 431-446 - [c136]Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. ECCV (15) 2020: 584-600 - [c135]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition. ECCV (21) 2020: 649-665 - [c134]Jingwen He, Yihao Liu, Yu Qiao, Chao Dong:
Conditional Sequential Modulation for Efficient Global Image Retouching. ECCV (13) 2020: 679-695 - [c133]Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy:
MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation. ECCV (21) 2020: 700-717 - [c132]Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li:
Learning to Predict Context-Adaptive Convolution for Semantic Segmentation. ECCV (25) 2020: 769-786 - [c131]Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao:
Suppressing Mislabeled Data via Grouping and Self-attention. ECCV (16) 2020: 786-802 - [c130]Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao:
Learning Discriminative Representation For Facial Expression Recognition From Uncertainties. ICIP 2020: 903-907 - [c129]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. ISBI 2020: 1-4 - [c128]Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu:
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. ISBI 2020: 1258-1261 - [i62]Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao:
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing. CoRR abs/2001.06968 (2020) - [i61]Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng:
A Comprehensive Study on Temporal Modeling for Online Action Detection. CoRR abs/2001.07501 (2020) - [i60]Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao:
Progressive Object Transfer Detection. CoRR abs/2002.04741 (2020) - [i59]Peiqin Zhuang, Yali Wang, Yu Qiao:
Learning Attentive Pairwise Interaction for Fine-Grained Classification. CoRR abs/2002.10191 (2020) - [i58]Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CoRR abs/2002.10392 (2020) - [i57]Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation. CoRR abs/2003.03530 (2020) - [i56]Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. CoRR abs/2003.07304 (2020) - [i55]Jianbo Liu, Junjun He, Jimmy S. Ren, Yu Qiao, Hongsheng Li:
Learning to Predict Context-adaptive Convolution for Semantic Segmentation. CoRR abs/2004.08222 (2020) - [i54]Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao:
SmallBigNet: Integrating Core and Contextual Views for Video Classification. CoRR abs/2006.14582 (2020) - [i53]Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. CoRR abs/2007.12407 (2020) - [i52]Ruicheng Feng, Weipeng Guan, Yu Qiao, Chao Dong:
Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution. CoRR abs/2008.00239 (2020) - [i51]Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong:
Enhanced Quadratic Video Interpolation. CoRR abs/2009.04642 (2020) - [i50]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i49]Jingwen He, Yihao Liu, Yu Qiao, Chao Dong:
Conditional Sequential Modulation for Efficient Global Image Retouching. CoRR abs/2009.10390 (2020) - [i48]Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution Using Pixel Attention. CoRR abs/2010.01073 (2020) - [i47]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition. CoRR abs/2012.02994 (2020) - [i46]Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. CoRR abs/2012.10921 (2020) - [i45]Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao:
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. CoRR abs/2012.13912 (2020)
2010 – 2019
- 2019
- [j39]Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao:
A Comprehensive Study on Center Loss for Deep Face Recognition. Int. J. Comput. Vis. 127(6-7): 668-683 (2019) - [j38]Yanpeng Cao, Dayan Guan, Weilin Huang, Jiangxin Yang, Yanlong Cao, Yu Qiao:
Pedestrian detection with unsupervised multispectral feature learning using deep neural networks. Inf. Fusion 46: 206-217 (2019) - [j37]Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks for Action Recognition in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2740-2755 (2019) - [j36]Hanyu Peng, Junjun He, Shifeng Chen, Yali Wang, Yu Qiao:
Dual-supervised attention network for deep cross-modal hashing. Pattern Recognit. Lett. 128: 333-339 (2019) - [j35]Wenjuan Gong, Bin Zhang, Chaoqi Wang, Hanbing Yue, Chuantao Li, Linjie Xing, Yu Qiao, Weishan Zhang, Faming Gong:
A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis. Sensors 19(12): 2809 (2019) - [j34]Zhongying Deng, Xiaojiang Peng, Zhifeng Li, Yu Qiao:
Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition. IEEE Trans. Image Process. 28(6): 3102-3114 (2019) - [c127]Zhongying Deng, Xiaojiang Peng, Yu Qiao:
Residual Compensation Networks for Heterogeneous Face Recognition. AAAI 2019: 8239-8246 - [c126]Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. CVPR Workshops 2019: 1964-1973 - [c125]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 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 - [c124]Weihe Zhang, Yali Wang, Yu Qiao:
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition. CVPR 2019: 7373-7382 - [c123]Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao:
Adaptive Pyramid Context Network for Semantic Segmentation. CVPR 2019: 7519-7528 - [c122]An Yan, Yali Wang, Zhifeng Li, Yu Qiao:
PA3D: Pose-Action 3D Machine for Video Recognition. CVPR 2019: 7922-7931 - [c121]Jingwen He, Chao Dong, Yu Qiao:
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. CVPR 2019: 11056-11064 - [c120]Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao:
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction. ICCV 2019: 2315-2324 - [c119]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution. ICCV 2019: 3096-3105 - [c118]Junjun He, Zhongying Deng, Yu Qiao:
Dynamic Multi-Scale Filters for Semantic Segmentation. ICCV 2019: 3561-3571 - [c117]Jin Ye, Xiaojiang Peng, Yu Qiao, Hao Xing, Junli Li, Rongrong Ji:
Visual-Textual Sentiment Analysis in Product Reviews. ICIP 2019: 869-873 - [c116]Debin Meng, Xiaojiang Peng, Kai Wang, Yu Qiao:
Frame Attention Networks for Facial Expression Recognition in Videos. ICIP 2019: 3866-3870 - [c115]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. ICMI 2019: 551-556 - [c114]Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. ICMI 2019: 557-561 - [c113]Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao:
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. ICMI 2019: 562-566 - [c112]Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X. Wu, Xiaoying Tang:
Prostate Segmentation using 2D Bridged U-net. IJCNN 2019: 1-7 - [c111]Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, Yu Qiao:
AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network. ACM Multimedia 2019: 1805-1813 - [i44]Jingwen He, Chao Dong, Yu Qiao:
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers. CoRR abs/1904.08118 (2019) - [i43]Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, Yu Qiao:
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. CoRR abs/1905.04075 (2019) - [i42]Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. CoRR abs/1906.04809 (2019) - [i41]Debin Meng, Xiaojiang Peng, Kai Wang, Yu Qiao:
frame attention networks for facial expression recognition in videos. CoRR abs/1907.00193 (2019) - [i40]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. CoRR abs/1907.03422 (2019) - [i39]Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao:
Product Image Recognition with Guidance Learning and Noisy Supervision. CoRR abs/1907.11384 (2019) - [i38]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. CoRR abs/1908.06382 (2019) - [i37]Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng:
Learning Category Correlations for Multi-label Image Recognition with Graph Networks. CoRR abs/1909.13005 (2019) - [i36]Jingwen He, Chao Dong, Yu Qiao:
Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning. CoRR abs/1912.05293 (2019) - [i35]Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. CoRR abs/1912.10644 (2019) - 2018
- [j33]Limin Wang, Zhe Wang, Yu Qiao, Luc Van Gool:
Transferring Deep Object and Scene Representations for Event Recognition in Still Images. Int. J. Comput. Vis. 126(2-4): 390-409 (2018) - [j32]Wenbin Du, Yali Wang, Yu Qiao:
Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos. IEEE Trans. Image Process. 27(3): 1347-1360 (2018) - [j31]Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, Hanli Wang:
Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs. IEEE Trans. Image Process. 27(5): 2326-2339 (2018) - [c110]Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao:
LSTD: A Low-Shot Transfer Detector for Object Detection. AAAI 2018: 2836-2843 - [c109]Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang:
Boosting up Scene Text Detectors with Guided CNN. BMVC 2018: 307 - [c108]Shixiang Wu, Tianqi Fan, Chao Dong, Yu Qiao:
RDS-Denoiser: a Detail-preserving Convolutional Neural Network for Image Denoising. CBS 2018: 127-132 - [c107]Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun:
An End-to-End TextSpotter With Explicit Alignment and Attention. CVPR 2018: 5020-5029 - [c106]Yali Wang, Lei Zhou, Yu Qiao:
Temporal Hallucinating for Action Recognition With Few Still Images. CVPR 2018: 5314-5322 - [c105]Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan:
FOTS: Fast Oriented Text Spotting With a Unified Network. CVPR 2018: 5676-5685 - [c104]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. ECCV Workshops (5) 2018: 63-79 - [c103]Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. ECCV (11) 2018: 196-211 - [c102]Dian Shao, Yu Xiong, Yue Zhao, Qingqiu Huang, Yu Qiao, Dahua Lin:
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries. ECCV (9) 2018: 202-218 - [c101]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [c100]Jianfei Yang, Kai Wang, Xiaojiang Peng, Yu Qiao:
Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction. ICMI 2018: 594-598 - [c99]Kai Wang, Xiaoxing Zeng, Jianfei Yang, Debin Meng, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues. ICMI 2018: 640-645 - [c98]Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao:
A Multi-task Learning Approach for Image Captioning. IJCAI 2018: 1205-1211 - [c97]Guoxiang Qu, Wenwei Zhang, Zhe Wang, Xing Dai, Jianping Shi, Junjun He, Fei Li, Xiulan Zhang, Yu Qiao:
StripNet: Towards Topology Consistent Strip Structure Segmentation. ACM Multimedia 2018: 283-291 - [c96]Peiqin Zhuang, Yali Wang, Yu Qiao:
WildFish: A Large Benchmark for Fish Recognition in the Wild. ACM Multimedia 2018: 1301-1309 - [i34]Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao:
LSTD: A Low-Shot Transfer Detector for Object Detection. CoRR abs/1803.01529 (2018) - [i33]Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun:
An end-to-end TextSpotter with Explicit Alignment and Attention. CoRR abs/1803.03474 (2018) - [i32]Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang:
Boosting up Scene Text Detectors with Guided CNN. CoRR abs/1805.04132 (2018) - [i31]Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Xiaoying Tang:
W-net: Bridged U-net for 2D Medical Image Segmentation. CoRR abs/1807.04459 (2018) - [i30]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. CoRR abs/1809.00219 (2018) - [i29]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - [i28]Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. CoRR abs/1811.02328 (2018) - 2017
- [j30]Peng-peng Zhang, Yu Qiao, Shengzheng Wang, Jie Yang, Yuemin Zhu:
A robust coherent point drift approach based on rotation invariant shape context. Neurocomputing 219: 455-473 (2017) - [j29]Yongqiang Gao, Weilin Huang, Yu Qiao:
Learning multiple local binary descriptors for image matching. Neurocomputing 266: 239-246 (2017) - [j28]Sheng Guo, Weilin Huang, Yu Qiao:
Improving scale invariant feature transform with local color contrastive descriptor for image classification. J. Electronic Imaging 26(1): 13015 (2017) - [j27]Sheng Guo, Weilin Huang, Limin Wang, Yu Qiao:
Locally Supervised Deep Hybrid Model for Scene Recognition. IEEE Trans. Image Process. 26(2): 808-820 (2017) - [j26]Zhe Wang, Limin Wang, Yali Wang, Bowen Zhang, Yu Qiao:
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition. IEEE Trans. Image Process. 26(4): 2028-2041 (2017) - [j25]Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao:
Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs. IEEE Trans. Image Process. 26(4): 2055-2068 (2017) - [c95]Jiaming Liu, Yali Wang, Yu Qiao:
Sparse Deep Transfer Learning for Convolutional Neural Network. AAAI 2017: 2245-2251 - [c94]Huijuan Huang, Zhi Tian, Tong He, Weilin Huang, Yu Qiao:
Orientation-Aware Text Proposals Network for Scene Text Detection. CCBR 2017: 739-749 - [c93]Wei Zhao, Wei Xu, Min Yang, Jianbo Ye, Zhou Zhao, Yabing Feng, Yu Qiao:
Dual Learning for Cross-domain Image Captioning. CIKM 2017: 29-38 - [c92]Peiqin Zhuang, Linjie Xing, Yanlin Liu, Sheng Guo, Yu Qiao:
Marine Animal Detection and Recognition with Advanced Deep Learning Models. CLEF (Working Notes) 2017 - [c91]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao