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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
- 2022
[j61]Xiaoxing Zeng, Zhelun Wu, Xiaojiang Peng, Yu Qiao:
Joint 3D facial shape reconstruction and texture completion from a single image. Comput. Vis. Media 8(2): 239-256 (2022)- 2021
- [j60]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) - [j59]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification. Biomed. Signal Process. Control. 67: 102491 (2021) - [j58]Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation. Neurocomputing 438: 270-279 (2021) - [j57]Xiaoxing Zeng, Ruyun Hu, Wu Shi, Yu Qiao:
Multi-view self-supervised learning for 3D facial texture reconstruction from single image. Image Vis. Comput. 115: 104311 (2021) - [j56]Linwei Zhu, Yun Zhang, Shiqi Wang, Sam Kwong, Xin Jin, Yu Qiao:
Deep Learning-Based Chroma Prediction for Intra Versatile Video Coding. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3168-3181 (2021) - [j55]Junhao Zhang, Yali Wang, Zhipeng Zhou, Tianyu Luan, Zhe Wang, Yu Qiao:
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos. IEEE Trans. Image Process. 30: 7914-7925 (2021) - [j54]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. IEEE Trans. Image Process. 30: 8008-8018 (2021) - [j53]Diping Song, Bin Fu, Fei Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function. IEEE Trans. Medical Imaging 40(9): 2392-2402 (2021) - [j52]Peiqin Zhuang, Yali Wang, Yu Qiao:
Wildfish++: A Comprehensive Fish Benchmark for Multimedia Research. IEEE Trans. Multim. 23: 3603-3617 (2021) - [c177]Pei Liu, Guorun Yang, Peixuan Li, Zhe Wang, Jianping Shi, Zhidong Deng, Yu Qiao:
MP-Mono: Monocular 3D Detection Using Multiple Priors for Autonomous Driving. 3DV 2021: 535-544 - [c176]Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao:
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos. AAAI 2021: 2269-2276 - [c175]Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, Junjie Yan:
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. AAAI 2021: 2602-2610 - [c174]Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu:
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation. AAAI 2021: 3030-3038 - [c173]Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. AAAI 2021: 3047-3055 - [c172]Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. AAAI 2021: 3056-3064 - [c171]Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. CVPR Workshops 2021: 294-303 - [c170]Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization. CVPR Workshops 2021: 354-363 - [c169]Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang:
Temporal Context Aggregation Network for Temporal Action Proposal Refinement. CVPR 2021: 485-494 - [c168]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CVPR 2021: 495-504 - [c167]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2021: 677-690 - [c166]Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li:
Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification. CVPR 2021: 3436-3445 - [c165]Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong:
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. CVPR 2021: 12016-12025 - [c164]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CVPR 2021: 14646-14655 - [c163]Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao:
CT-Net: Channel Tensorization Network for Video Classification. ICLR 2021 - [c162]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. ICLR 2021 - [c161]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao:
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. ISBI 2021: 571-574 - [c160]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 48-58 - [c159]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. MICCAI (1) 2021: 569-578 - [i101]Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. CoRR abs/2103.02503 (2021) - [i100]Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong:
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. CoRR abs/2103.04039 (2021) - [i99]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CoRR abs/2103.08214 (2021) - [i98]Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao:
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos. CoRR abs/2103.09009 (2021) - [i97]Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. CoRR abs/2103.10339 (2021) - [i96]Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang:
Temporal Context Aggregation Network for Temporal Action Proposal Refinement. CoRR abs/2103.13141 (2021) - [i95]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. CoRR abs/2104.02008 (2021) - [i94]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CoRR abs/2104.02867 (2021) - [i93]Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu:
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation. CoRR abs/2104.05374 (2021) - [i92]Yihao Liu, Jingwen He, Xiangyu Chen, Zhengwen Zhang, Hengyuan Zhao, Chao Dong, Yu Qiao:
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation. CoRR abs/2104.06279 (2021) - [i91]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - [i90]Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. CoRR abs/2105.03085 (2021) - [i89]Yi Liu, Limin Wang, Xiao Ma, Yali Wang, Yu Qiao:
FineAction: A Fined Video Dataset for Temporal Action Localization. CoRR abs/2105.11107 (2021) - [i88]Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization. CoRR abs/2105.13084 (2021) - [i87]Haisheng Su, Jinyuan Feng, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao:
TSI: Temporal Saliency Integration for Video Action Recognition. CoRR abs/2106.01088 (2021) - [i86]Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao:
CT-Net: Channel Tensorization Network for Video Classification. CoRR abs/2106.01603 (2021) - [i85]Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Scalable Transformers for Neural Machine Translation. CoRR abs/2106.02242 (2021) - [i84]Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li:
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification. CoRR abs/2106.06133 (2021) - [i83]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR abs/2107.02053 (2021) - [i82]Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. CoRR abs/2107.03055 (2021) - [i81]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank. CoRR abs/2107.09427 (2021) - [i80]Haisheng Su, Peiqin Zhuang, Yukun Li, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao:
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021. CoRR abs/2107.12618 (2021) - [i79]Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong:
Discovering "Semantics" in Super-Resolution Networks. CoRR abs/2108.00406 (2021) - [i78]Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong:
A New Journey from SDRTV to HDRTV. CoRR abs/2108.07978 (2021) - [i77]Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao:
Digging into Uncertainty in Self-supervised Multi-view Stereo. CoRR abs/2108.12966 (2021) - [i76]Junhao Zhang, Yali Wang, Zhipeng Zhou, Tianyu Luan, Zhe Wang, Yu Qiao:
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos. CoRR abs/2109.07353 (2021) - [i75]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. CoRR abs/2109.12629 (2021) - [i74]Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao:
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. CoRR abs/2110.04544 (2021) - [i73]Renrui Zhang, Rongyao Fang, Wei Zhang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li:
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling. CoRR abs/2111.03930 (2021) - [i72]David Junhao Zhang, Kunchang Li, Yunpeng Chen, Yali Wang, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou:
MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video. CoRR abs/2111.12527 (2021) - [i71]Changyao Tian, Wenhai Wang, Xizhou Zhu, Xiaogang Wang, Jifeng Dai, Yu Qiao:
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. CoRR abs/2111.13579 (2021) - [i70]Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. CoRR abs/2112.02413 (2021) - 2020
- [j51]Yuping Ye, Zhan Song, Junguang Guo, Yu Qiao:
SIAT-3DFE: A High-Resolution 3D Facial Expression Dataset. IEEE Access 8: 48205-48211 (2020) - [j50]Jiaze Wang, Xiaojiang Peng, Yu Qiao:
Cascade multi-head attention networks for action recognition. Comput. Vis. Image Underst. 192: 102898 (2020) - [j49]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) - [j48]Xiaoxing Zeng, Xiaojiang Peng, Yali Wang, Yu Qiao:
Finding hard faces with better proposals and classifier. Mach. Vis. Appl. 31(7): 61 (2020) - [j47]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) - [j46]Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao:
Progressive Object Transfer Detection. IEEE Trans. Image Process. 29: 986-1000 (2020) - [j45]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) - [j44]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) - [j43]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) - [c158]Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao:
FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing. AAAI 2020: 10729-10736 - [c157]Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao:
Dynamic Sampling Network for Semantic Segmentation. AAAI 2020: 10794-10801 - [c156]Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. AAAI 2020: 12500-12507 - [c155]Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. AAAI 2020: 12653-12660 - [c154]Peiqin Zhuang, Yali Wang, Yu Qiao:
Learning Attentive Pairwise Interaction for Fine-Grained Classification. AAAI 2020: 13130-13137 - [c153]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 - [c152]Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao:
SmallBigNet: Integrating Core and Contextual Views for Video Classification. CVPR 2020: 1089-1098 - [c151]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 - [c150]Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CVPR 2020: 6896-6905 - [c149]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, 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. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c148]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 - [c147]Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong:
Enhanced Quadratic Video Interpolation. ECCV Workshops (4) 2020: 41-56 - [c146]Jingwen He, Chao Dong, Yu Qiao:
Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration. ECCV (20) 2020: 53-68 - [c145]Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution Using Pixel Attention. ECCV Workshops (3) 2020: 56-72 - [c144]Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li:
RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax. ECCV (26) 2020: 296-311 - [c143]Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao:
Mining Inter-Video Proposal Relations for Video Object Detection. ECCV (21) 2020: 431-446 - [c142]Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. ECCV (15) 2020: 584-600 - [c141]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 - [c140]Jingwen He, Yihao Liu, Yu Qiao, Chao Dong:
Conditional Sequential Modulation for Efficient Global Image Retouching. ECCV (13) 2020: 679-695 - [c139]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 - [c138]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 - [c137]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 - [c136]Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao:
Learning Discriminative Representation For Facial Expression Recognition From Uncertainties. ICIP 2020: 903-907 - [c135]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 - [c134]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 - [i69]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) - [i68]Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng:
A Comprehensive Study on Temporal Modeling for Online Action Detection. CoRR abs/2001.07501 (2020) - [i67]Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao:
Progressive Object Transfer Detection. CoRR abs/2002.04741 (2020) - [i66]Peiqin Zhuang, Yali Wang, Yu Qiao:
Learning Attentive Pairwise Interaction for Fine-Grained Classification. CoRR abs/2002.10191 (2020) - [i65]Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CoRR abs/2002.10392 (2020) - [i64]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) - [i63]Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. CoRR abs/2003.07304 (2020) - [i62]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. CoRR abs/2003.07325 (2020) - [i61]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) - [i60]Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao:
SmallBigNet: Integrating Core and Contextual Views for Video Classification. CoRR abs/2006.14582 (2020) - [i59]Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. CoRR abs/2007.12407 (2020) - [i58]Ruicheng Feng, Weipeng Guan, Yu Qiao, Chao Dong:
Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution. CoRR abs/2008.00239 (2020) - [i57]Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong:
Enhanced Quadratic Video Interpolation. CoRR abs/2009.04642 (2020) - [i56]Haisheng Su, Jing Su, Dongliang Wang, Weihao Gan, Wei Wu, Mengmeng Wang, Junjie Yan, Yu Qiao:
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition. CoRR abs/2009.06902 (2020) - [i55]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) - [i54]Haisheng Su, Weihao Gan, Wei Wu, Junjie Yan, Yu Qiao:
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. CoRR abs/2009.07641 (2020) - [i53]Jingwen He, Yihao Liu, Yu Qiao, Chao Dong:
Conditional Sequential Modulation for Efficient Global Image Retouching. CoRR abs/2009.10390 (2020) - [i52]Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution Using Pixel Attention. CoRR abs/2010.01073 (2020) - [i51]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) - [i50]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) - [i49]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
- [j42]Fei Li, Zhe Wang, Guoxiang Qu, Diping Song, Ye Yuan, Yang Xu, Kai Gao, Guangwei Luo, Zegu Xiao, Dennis S. C. Lam, Hua Zhong, Yu Qiao, Xiulan Zhang:
Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network. BMC Medical Imaging 19(1): 40:1 (2019) - [j41]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) - [j40]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) - [j39]Jianhan Mei, Ziming Wu, Xiang Chen, Yu Qiao, Henghui Ding, Xudong Jiang:
DeepDeblur: text image recovery from blur to sharp. Multim. Tools Appl. 78(13): 18869-18885 (2019) - [j38]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) - [j37]