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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
[j67]Diping Song, Fei Li, Cheng Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis. Comput. Biol. Medicine 151(Part): 106283 (2022)- [j66]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) - [j65]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7149-7166 (2022) - [j64]Jingwen He, Chao Dong, Yihao Liu, Yu Qiao:
Interactive Multi-Dimension Modulation for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9363-9379 (2022) - [j63]Weijian Ruan, Yiran Tao, Linjun Ruan, Xiujun Shu, Yu Qiao:
Temporal Weighting Appearance-Aligned Network for Nighttime Video Retrieval. IEEE Signal Process. Lett. 29: 2008-2012 (2022) - [j62]Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu, Yu Qiao:
Robust Image Forgery Detection Against Transmission Over Online Social Networks. IEEE Trans. Inf. Forensics Secur. 17: 443-456 (2022) - [j61]Yi Liu, Limin Wang, Yali Wang, Xiao Ma, Yu Qiao:
FineAction: A Fine-Grained Video Dataset for Temporal Action Localization. IEEE Trans. Image Process. 31: 6937-6950 (2022) - [c191]Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong:
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CVPR Workshops 2022: 832-842 - [c190]Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. CVPR 2022: 8542-8552 - [c189]Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai:
BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers. ECCV (9) 2022: 1-18 - [c188]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. ECCV (24) 2022: 19-35 - [c187]Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao:
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. ECCV (25) 2022: 73-91 - [c186]David Junhao Zhang, Kunchang Li, Yali Wang, Yunpeng Chen, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou:
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning. ECCV (35) 2022: 230-248 - [c185]Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. ECCV (35) 2022: 388-404 - [c184]Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu:
Self-slimmed Vision Transformer. ECCV (11) 2022: 432-448 - [c183]Renrui Zhang, Wei Zhang, Rongyao Fang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li:
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification. ECCV (35) 2022: 493-510 - [c182]Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning. ICLR 2022 - [c181]Bin Wang, Yu Qiao, Dahua Lin, Stephen D. H. Yang, Weijia Li:
Cycle-Consistent Learning for Weakly Supervised Semantic Segmentation. HCMA@MM 2022: 7-13 - [i129]Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning. CoRR abs/2201.04676 (2022) - [i128]Mingye Xu, Zhipeng Zhou, Hongbin Xu, Yali Wang, Yu Qiao:
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning. CoRR abs/2201.08215 (2022) - [i127]Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unifying Convolution and Self-attention for Visual Recognition. CoRR abs/2201.09450 (2022) - [i126]Kexue Fu, Peng Gao, Renrui Zhang, Hongsheng Li, Yu Qiao, Manning Wang:
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning. CoRR abs/2202.04241 (2022) - [i125]Renrui Zhang, Han Qiu, Tai Wang, Xuanzhuo Xu, Ziyu Guo, Yu Qiao, Peng Gao, Hongsheng Li:
MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection. CoRR abs/2203.13310 (2022) - [i124]Kexue Fu, Peng Gao, Shaolei Liu, Renrui Zhang, Yu Qiao, Manning Wang:
POS-BERT: Point Cloud One-Stage BERT Pre-Training. CoRR abs/2204.00989 (2022) - [i123]Peng Gao, Teli Ma, Hongsheng Li, Ziyi Lin, Jifeng Dai, Yu Qiao:
ConvMAE: Masked Convolution Meets Masked Autoencoders. CoRR abs/2205.03892 (2022) - [i122]Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong:
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CoRR abs/2205.05996 (2022) - [i121]Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong:
Evaluating the Generalization Ability of Super-Resolution Networks. CoRR abs/2205.07019 (2022) - [i120]Renrui Zhang, Ziyu Guo, Peng Gao, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li:
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training. CoRR abs/2205.14401 (2022) - [i119]Mingye Xu, Yali Wang, Yihao Liu, Yu Qiao:
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. CoRR abs/2207.05359 (2022) - [i118]Renrui Zhang, Zhang Wei, Rongyao Fang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li:
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification. CoRR abs/2207.09519 (2022) - [i117]Yuexin Ma, Tai Wang, Xuyang Bai, Huitong Yang, Yuenan Hou, Yaming Wang, Yu Qiao, Ruigang Yang, Dinesh Manocha, Xinge Zhu:
Vision-Centric BEV Perception: A Survey. CoRR abs/2208.02797 (2022) - [i116]Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. CoRR abs/2208.03550 (2022) - [i115]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. CoRR abs/2209.01542 (2022) - [i114]Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo:
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. CoRR abs/2209.05324 (2022) - [i113]Renrui Zhang, Hanqiu Deng, Bohao Li, Wei Zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao:
Collaboration of Pre-trained Models Makes Better Few-shot Learner. CoRR abs/2209.12255 (2022) - [i112]Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao:
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. CoRR abs/2211.05778 (2022) - [i111]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. CoRR abs/2211.09807 (2022) - [i110]Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao:
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR abs/2212.01853 (2022) - [i109]Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao:
Diff-Font: Diffusion Model for Robust One-Shot Font Generation. CoRR abs/2212.05895 (2022) - [i108]Mingye Xu, Mutian Xu, Tong He, Wanli Ouyang, Yali Wang, Xiaoguang Han, Yu Qiao:
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency. CoRR abs/2212.09948 (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) - [c180]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 - [c179]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 - [c178]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 - [c177]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 - [c176]Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. AAAI 2021: 3047-3055 - [c175]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 - [c174]Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. CVPR Workshops 2021: 294-303 - [c173]Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization. CVPR Workshops 2021: 354-363 - [c172]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 - [c171]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CVPR 2021: 495-504 - [c170]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 - [c169]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 - [c168]Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong:
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. CVPR 2021: 12016-12025 - [c167]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CVPR 2021: 14646-14655 - [c166]Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong:
A New Journey from SDRTV to HDRTV. ICCV 2021: 4480-4489 - [c165]Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao:
Digging into Uncertainty in Self-supervised Multi-view Stereo. ICCV 2021: 6058-6067 - [c164]Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao:
CT-Net: Channel Tensorization Network for Video Classification. ICLR 2021 - [c163]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. ICLR 2021 - [c162]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 - [c161]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 - [c160]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 - [i107]Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. CoRR abs/2103.02503 (2021) - [i106]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) - [i105]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CoRR abs/2103.08214 (2021) - [i104]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) - [i103]Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. CoRR abs/2103.10339 (2021) - [i102]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) - [i101]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. CoRR abs/2104.02008 (2021) - [i100]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CoRR abs/2104.02867 (2021) - [i99]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) - [i98]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) - [i97]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) - [i96]Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. CoRR abs/2105.03085 (2021) - [i95]Yi Liu, Limin Wang, Xiao Ma, Yali Wang, Yu Qiao:
FineAction: A Fined Video Dataset for Temporal Action Localization. CoRR abs/2105.11107 (2021) - [i94]Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization. CoRR abs/2105.13084 (2021) - [i93]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) - [i92]Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao:
CT-Net: Channel Tensorization Network for Video Classification. CoRR abs/2106.01603 (2021) - [i91]Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Scalable Transformers for Neural Machine Translation. CoRR abs/2106.02242 (2021) - [i90]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) - [i89]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR abs/2107.02053 (2021) - [i88]Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. CoRR abs/2107.03055 (2021) - [i87]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank. CoRR abs/2107.09427 (2021) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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. CoRR abs/2109.12634 (2021) - [i79]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) - [i78]Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Yu Qiao, Chao Dong:
Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning. CoRR abs/2110.04562 (2021) - [i77]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) - [i76]Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao:
INTERN: A New Learning Paradigm Towards General Vision. CoRR abs/2111.08687 (2021) - [i75]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) - [i74]Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu:
Self-slimmed Vision Transformer. CoRR abs/2111.12624 (2021) - [i73]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) - [i72]Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao:
A Simple Long-Tailed Recognition Baseline via Vision-Language Model. CoRR abs/2111.14745 (2021) - [i71]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) - [i70]Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Reflash Dropout in Image Super-Resolution. CoRR abs/2112.12089 (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]