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Books and Theses
- 2015
- [b2]Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Sparse Coding and its Applications in Computer Vision. WorldScientific 2015, ISBN 9789814725040, pp. 1-240 - 2011
- [b1]Jianchao Yang:
Sparse modeling of high-dimensional data for learning and vision. University of Illinois Urbana-Champaign, USA, 2011
Journal Articles
- 2024
- [j41]Shiyuan Zhang
, Xingyu Lu
, Ke Tan, Huabin Yan
, Jianchao Yang, Zheng Dai, Hong Gu:
Co-Frequency Interference Suppression of Integrated Detection and Jamming System Based on 2D Sparse Recovery. Remote. Sens. 16(13): 2325 (2024) - [j40]Huabin Yan
, Shiyuan Zhang
, Xingyu Lu, Jianchao Yang, Lunhao Duan, Ke Tan, Hong Gu:
A Waveform Design for Integrated Radar and Jamming Based on Smart Modulation and Complementary Coding. Remote. Sens. 16(15): 2725 (2024) - [j39]Guanqi Tong
, Xingyu Lu, Jianchao Yang, Wenchao Yu, Hong Gu, Weimin Su:
A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain. Sensors 24(10): 3095 (2024) - [j38]Wenchao Yu
, Xingyu Lu
, Weimin Su
, Hong Gu
, Jianchao Yang
:
Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology. IEEE Trans. Aerosp. Electron. Syst. 60(1): 1091-1101 (2024) - 2023
- [j37]Ke Tan, Shengqi Zhou, Xingyu Lu, Jianchao Yang, Weimin Su, Hong Gu:
Real Aperture Radar Super-Resolution Imaging for Sea Surface Monitoring Based on a Hybrid Model. Sensors 23(23): 9609 (2023) - [j36]Wenchao Yu
, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu:
Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv's Distribution. Signal Image Video Process. 17(6): 2771-2778 (2023) - 2022
- [j35]Wenchao Yu
, Xingyu Lu, Weimin Su, Hong Gu, Jianchao Yang:
Complex migration correction and coherent integration algorithm for radar target with arbitrary moving direction. Digit. Signal Process. 129: 103674 (2022) - [j34]Xingyu Lu
, Jianchao Yang, Tat Soon Yeo
, Weimin Su
, Hong Gu, Wenchao Yu
:
Accurate SAR Image Recovery From RFI Contaminated Raw Data by Using Image Domain Mixed Regularizations. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j33]Ke Tan, Xingyu Lu, Jianchao Yang, Weimin Su, Hong Gu:
A Novel Bayesian Super-Resolution Method for Radar Forward-Looking Imaging Based on Markov Random Field Model. Remote. Sens. 13(20): 4115 (2021) - [j32]Xingyu Lu
, Jianchao Yang, Wenchao Yu, Weimin Su
, Hong Gu, Tat Soon Yeo
:
Enhanced LRR-Based RFI Suppression for SAR Imaging Using the Common Sparsity of Range Profiles for Accurate Signal Recovery. IEEE Trans. Geosci. Remote. Sens. 59(2): 1302-1318 (2021) - [j31]Yifan Jiang
, Xinyu Gong
, Ding Liu
, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou
, Zhangyang Wang
:
EnlightenGAN: Deep Light Enhancement Without Paired Supervision. IEEE Trans. Image Process. 30: 2340-2349 (2021) - 2020
- [j30]Yumeng Zhang
, Li Luo, Fengyi Zhang
, Ruixiao Kong, Jianchao Yang, Ya-bing Feng, Huili Guo:
Emergency patient flow forecasting in the radiology department. Health Informatics J. 26(4): 2362-2374 (2020) - [j29]Xingyu Lu
, Yujiu Zhao
, Jianchao Yang, Weimin Su
, Hong Gu, Tat Soon Yeo
:
An Efficient Method for Single-Channel SAR Target Reconstruction Under Severe Deceptive Jamming. IEEE Geosci. Remote. Sens. Lett. 17(2): 237-241 (2020) - [j28]Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu:
Weak maneuvering target detection in random pulse repetition interval radar. Signal Process. 171: 107520 (2020) - 2019
- [j27]Jianchao Yang, Feng Guo, Li Luo, Xiaoming Ye:
Bilevel mixed-integer nonlinear programming for integrated scheduling in a supply chain network. Clust. Comput. 22(6): 15517-15532 (2019) - [j26]Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu:
Fast implementation of ground maneuvering target focusing. Digit. Signal Process. 89: 155-169 (2019) - [j25]Yumeng Zhang
, Li Luo, Jianchao Yang, Dunhu Liu, Ruixiao Kong, Ya-bing Feng:
A hybrid ARIMA-SVR approach for forecasting emergency patient flow. J. Ambient Intell. Humaniz. Comput. 10(8): 3315-3323 (2019) - [j24]Chenchen Wang
, Weimin Su, Hong Gu, Jianchao Yang:
Focusing Bistatic Forward-Looking Synthetic Aperture Radar Based on an Improved Hyperbolic Range Model and a Modified Omega-K Algorithm. Sensors 19(17): 3792 (2019) - [j23]Zhengyuan Yang
, Yuncheng Li, Jianchao Yang, Jiebo Luo
:
Action Recognition With Spatio-Temporal Visual Attention on Skeleton Image Sequences. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2405-2415 (2019) - 2018
- [j22]Yingzhen Yang
, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
Subspace Learning by ℓ0-Induced Sparsity. Int. J. Comput. Vis. 126(10): 1138-1156 (2018) - [j21]Yang Zhao, Ronggang Wang, Wei Jia, Jianchao Yang, Wenmin Wang, Wen Gao:
Local patch encoding-based method for single image super-resolution. Inf. Sci. 433-434: 292-305 (2018) - [j20]Xiaodan Liang, Liang Lin
, Yunchao Wei
, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Proposal-Free Network for Instance-Level Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2978-2991 (2018) - [j19]Xingyu Lu
, Weimin Su, Jianchao Yang, Hong Gu, Hailong Zhang, Wenchao Yu, Tat Soon Yeo
:
Radio Frequency Interference Suppression for SAR via Block Sparse Bayesian Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4835-4847 (2018) - 2017
- [j18]Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang
, Liang Lin, Shuicheng Yan:
Human Parsing with Contextualized Convolutional Neural Network. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 115-127 (2017) - [j17]Xiaodan Liang, Yunchao Wei, Liang Lin
, Yunpeng Chen
, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Learning to Segment Human by Watching YouTube. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1462-1468 (2017) - [j16]Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao
, Jiaying Liu
, Zongming Guo, Shuicheng Yan:
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution. IEEE Trans. Image Process. 26(12): 5895-5907 (2017) - 2016
- [j15]Jian Dong, Qiang Chen, ZhongYang Huang, Jianchao Yang, Shuicheng Yan:
Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 88-101 (2016) - [j14]Ding Liu
, Zhaowen Wang, Bihan Wen
, Jianchao Yang, Wei Han, Thomas S. Huang:
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. IEEE Trans. Image Process. 25(7): 3194-3207 (2016) - 2015
- [j13]Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan:
Deep Human Parsing with Active Template Regression. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2402-2414 (2015) - [j12]Xiaoyuan Yu, Jianchao Yang, Zhe L. Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang:
Subcategory-Aware Object Detection. IEEE Signal Process. Lett. 22(9): 1472-1476 (2015) - [j11]Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang:
Key Point Detection by Max Pooling for Tracking. IEEE Trans. Cybern. 45(3): 444-452 (2015) - [j10]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
Learning Super-Resolution Jointly From External and Internal Examples. IEEE Trans. Image Process. 24(11): 4359-4371 (2015) - [j9]Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang
:
Image-Specific Prior Adaptation for Denoising. IEEE Trans. Image Process. 24(12): 5469-5478 (2015) - [j8]Xin Lu, Zhe L. Lin, Hailin Jin, Jianchao Yang, James Z. Wang
:
Rating Image Aesthetics Using Deep Learning. IEEE Trans. Multim. 17(11): 2021-2034 (2015) - 2014
- [j7]Usman Tariq, Jianchao Yang, Thomas S. Huang:
Supervised super-vector encoding for facial expression recognition. Pattern Recognit. Lett. 46: 89-95 (2014) - 2013
- [j6]Haichao Zhang, Jianchao Yang, Yanning Zhang, Thomas S. Huang:
Image and Video Restorations via Nonlocal Kernel Regression. IEEE Trans. Cybern. 43(3): 1035-1046 (2013) - 2012
- [j5]Jianchao Yang, Zhaowen Wang, Zhe Lin, Scott Cohen, Thomas S. Huang:
Coupled Dictionary Training for Image Super-Resolution. IEEE Trans. Image Process. 21(8): 3467-3478 (2012) - [j4]Jianchao Yang, Jiebo Luo
, Jie Yu, Thomas S. Huang:
Photo Stream Alignment and Summarization for Collaborative Photo Collection and Sharing. IEEE Trans. Multim. 14(6): 1642-1651 (2012) - 2010
- [j3]Bin Cheng, Jianchao Yang, Shuicheng Yan
, Yun Fu, Thomas S. Huang:
Learning With ℓ1-Graph for Image Analysis. IEEE Trans. Image Process. 19(4): 858-866 (2010) - [j2]Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma:
Image Super-Resolution Via Sparse Representation. IEEE Trans. Image Process. 19(11): 2861-2873 (2010) - 2009
- [j1]Jianchao Yang, Shuicheng Yan
, Thomas S. Huang:
Ubiquitously Supervised Subspace Learning. IEEE Trans. Image Process. 18(2): 241-249 (2009)
Conference and Workshop Papers
- 2023
- [c82]Zeyu Xue, Mei Wen, Zhaoyun Chen, Yang Shi, Minjin Tang, Jianchao Yang, Zhongdi Luo:
Releasing the Potential of Tensor Core for Unstructured SpMM using Tiled-CSR Format. ICCD 2023: 457-464 - 2022
- [c81]Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang:
Dressing in the Wild by Watching Dance Videos. CVPR 2022: 3470-3479 - [c80]Yasong Cao, Mei Wen, Junzhong Shen, Sheng Liu, Zhi Wang, Minjin Tang, Yahao Fang, Jianchao Yang, Renyu Yang, Yuhan Kang, Jiawei Fei:
MZ Core: An Enhanced Matrix Acceleration Engine for HPC/ AI Applications. HPCC/DSS/SmartCity/DependSys 2022: 126-134 - [c79]Jianchao Yang, Mei Wen, Xiaolei Zhao, Yang Shi:
Light: A Component Enhances Faster and More Accurate Traffic Measurement*. ICC 2022: 3673-3678 - [c78]Jianchao Yang, Mei Wen, Junzhong Shen, Yasong Cao, Minjin Tang, Renyu Yang, Jiawei Fei, Chunyuan Zhang:
BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays. ICCD 2022: 415-418 - [c77]Minjin Tang, Mei Wen, Yasong Cao, Junzhong Shen, Jianchao Yang, Jiawei Fei, Yang Guo, Sheng Liu:
Mentha: Enabling Sparse-Packing Computation on Systolic Arrays. ICPP 2022: 18:1-18:11 - 2021
- [c76]Jianchao Yang, Mei Wen, Minjin Tang, Junzhong Shen, Chunyuan Zhang:
SAI: Self-Adjusting Incremental Quantile Estimation for Sparse Training of Neural Networks on Hardware Accelerators. HPCC/DSS/SmartCity/DependSys 2021: 1049-1058 - [c75]Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang:
Online Multi-Granularity Distillation for GAN Compression. ICCV 2021: 6773-6783 - [c74]Ke Tan, Jianchao Yang, Xingyu Lu, Weiming Su, Hong Gu:
A Super-Resolution Imaging Method for Real-Aperture Scanning Radar Based on MRF Prior Model. IGARSS 2021: 5079-5082 - [c73]Jianchao Yang, Xingyu Lu, Zheng Dai, Ke Tan, Wenchao Yu:
Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization. IGARSS 2021: 5103-5106 - 2020
- [c72]Jian Ren, Menglei Chai, Sergey Tulyakov, Chen Fang, Xiaohui Shen, Jianchao Yang:
Human Motion Transfer from Poses in the Wild. ECCV Workshops (3) 2020: 262-279 - [c71]Xiaolin Liu, Yong Liu, Rui Xu, Jianchao Yang:
A Joint Algorithm for Carrier Phase and Timing Synchronization in Non-binary LDPC Coded CPM Systems. ICDSP 2020: 347-352 - [c70]Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. ICLR 2020 - [c69]Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR 2020 - 2019
- [c68]Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch. CVPR 2019: 9059-9068 - [c67]Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas S. Huang:
Slimmable Neural Networks. ICLR (Poster) 2019 - 2018
- [c66]Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos
:
Efficient Video Object Segmentation via Network Modulation. CVPR 2018: 6499-6507 - [c65]Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang:
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. ECCV (5) 2018: 603-619 - [c64]Yue Li
, Li Li, Zhu Li, Jianchao Yang, Ning Xu, Dong Liu, Houqiang Li:
A Hybrid Neural Network for Chroma Intra Prediction. ICIP 2018: 1797-1801 - [c63]Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang:
3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) 2018 - [c62]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks Through Weight Sampling. ICML 2018: 2357-2366 - [c61]Zhengyuan Yang, Yuncheng Li, Jianchao Yang, Jiebo Luo
:
Action Recognition with Visual Attention on Skeleton Images. ICPR 2018: 3309-3314 - 2017
- [c60]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu
, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII 2017: 65-70 - [c59]Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li
:
Dense Captioning with Joint Inference and Visual Context. CVPR 2017: 1978-1987 - [c58]Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo
, Li-Jia Li
:
Learning from Noisy Labels with Distillation. ICCV 2017: 1928-1936 - [c57]Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang:
Support Regularized Sparse Coding and Its Fast Encoder. ICLR (Poster) 2017 - [c56]Wanmin Wu, Jianchao Yang, Qi Tian, Roger Zimmermann:
First International ACM Thematic Workshops 2017. ACM Multimedia 2017: 1959-1960 - [c55]Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang:
Neighborhood Regularized l^1-Graph. UAI 2017 - 2016
- [c54]Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. AAAI 2016: 308-314 - [c53]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) 2016: 731-747 - [c52]Xiang Yu, Jianchao Yang, Linjie Luo, Wilmot Li, Jonathan Brandt, Dimitris N. Metaxas:
Customized expression recognition for performance-driven cutout character animation. WACV 2016: 1-9 - [c51]Quanzeng You, Jiebo Luo
, Hailin Jin, Jianchao Yang:
Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia. WSDM 2016: 13-22 - 2015
- [c50]Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks. AAAI 2015: 381-388 - [c49]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang:
Self-tuned deep super resolution. CVPR Workshops 2015: 1-8 - [c48]Chen Fang, Hailin Jin, Jianchao Yang, Zhe Lin:
Collaborative feature learning from social media. CVPR 2015: 577-585 - [c47]Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan:
Matching-CNN meets KNN: Quasi-parametric human parsing. CVPR 2015: 1419-1427 - [c46]Haichao Zhang, Jianchao Yang:
Intra-frame deblurring by leveraging inter-frame camera motion. CVPR 2015: 4036-4044 - [c45]Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei:
Fine-grained recognition without part annotations. CVPR 2015: 5546-5555 - [c44]Zhaowen Wang, Ding Liu
, Jianchao Yang, Wei Han, Thomas S. Huang:
Deep Networks for Image Super-Resolution with Sparse Prior. ICCV 2015: 370-378 - [c43]Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang
, Liang Lin, Shuicheng Yan:
Human Parsing with Contextualized Convolutional Neural Network. ICCV 2015: 1386-1394 - [c42]Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang:
DeepFont: Identify Your Font from An Image. ACM Multimedia 2015: 451-459 - [c41]Zhangyang Wang, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Zhaowen Wang, Yuyan Song, Joseph Hsieh, Sarah Kong, Thomas S. Huang:
DeepFont: A System for Font Recognition and Similarity. ACM Multimedia 2015: 813-814 - [c40]Quanzeng You, Jiebo Luo
, Hailin Jin, Jianchao Yang:
Joint Visual-Textual Sentiment Analysis with Deep Neural Networks. ACM Multimedia 2015: 1071-1074 - [c39]Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang:
Designing a composite dictionary adaptively from joint examples. VCIP 2015: 1-4 - [c38]Zhaowen Wang, Jianchao Yang, Zhe L. Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning Using Large Margin Neighborhood Embedding. WACV 2015: 464-471 - [c37]Guang Chen, Jianchao Yang, Hailin Jin, Eli Shechtman, Jonathan Brandt, Tony X. Han:
Selective Pooling Vector for Fine-Grained Recognition. WACV 2015: 860-867 - [c36]Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang:
Real-World Font Recognition Using Deep Network and Domain Adaptation. ICLR (Workshop) 2015 - 2014
- [c35]Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang:
Data Clustering by Laplacian Regularized L1-Graph. AAAI 2014: 3148-3149 - [c34]Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang:
Regularized l1-Graph for Data Clustering. BMVC 2014 - [c33]Jian Dong, Qiang Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Towards Unified Human Parsing and Pose Estimation. CVPR 2014: 843-850 - [c32]Ketan Tang, Jianchao Yang, Jue Wang
:
Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing. CVPR 2014: 2995-3002 - [c31]Guang Chen, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Tony X. Han:
Large-Scale Visual Font Recognition. CVPR 2014: 3598-3605 - [c30]Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng
, Alex Yong Sang Chia, Jianchao Yang, Hailin Jin, Thomas S. Huang:
Epitomic image colorization. ICASSP 2014: 2470-2474 - [c29]Xianbiao Shu, Jianchao Yang, Narendra Ahuja:
Non-local compressive sampling recovery. ICCP 2014: 1-8 - [c28]Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang
:
RAPID: Rating Pictorial Aesthetics using Deep Learning. ACM Multimedia 2014: 457-466 - [c27]Haichao Zhang, Jianchao Yang:
Scale Adaptive Blind Deblurring. NIPS 2014: 3005-3013 - [c26]Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
A joint perspective towards image super-resolution: Unifying external- and self-examples. WACV 2014: 596-603 - [c25]Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas S. Huang:
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training. ICLR (Workshop Poster) 2014 - 2013
- [c24]Jianchao Yang, Zhe Lin, Scott Cohen:
Fast Image Super-Resolution Based on In-Place Example Regression. CVPR 2013: 1059-1066 - [c23]Brandon M. Smith
, Li Zhang, Jonathan Brandt, Zhe Lin, Jianchao Yang:
Exemplar-Based Face Parsing. CVPR 2013: 3484-3491 - [c22]Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang:
Probabilistic Elastic Matching for Pose Variant Face Verification. CVPR 2013: 3499-3506 - [c21]Usman Tariq, Jianchao Yang, Thomas S. Huang:
Maximum margin GMM learning for facial expression recognition. FG 2013: 1-6 - [c20]Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang:
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation. ICCV 2013: 793-800 - [c19]Zhaowen Wang, Jianchao Yang, Nasser M. Nasrabadi, Thomas S. Huang:
A Max-Margin Perspective on Sparse Representation-Based Classification. ICCV 2013: 1217-1224 - [c18]Weilin Huang, Zhe Lin, Jianchao Yang, Jue Wang
:
Text Localization in Natural Images Using Stroke Feature Transform and Text Covariance Descriptors. ICCV 2013: 1241-1248 - [c17]Zhaowen Wang, Jianchao Yang, Nasser M. Nasrabadi, Jiangping Wang, Thomas S. Huang:
Opportunistic sensing for object recognition - A unified formulation for dynamic sensor selection and feature extraction. ICME 2013: 1-6 - 2012
- [c16]Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu, Thomas S. Huang:
Bilevel sparse coding for coupled feature spaces. CVPR 2012: 2360-2367 - [c15]Usman Tariq, Jianchao Yang, Thomas S. Huang:
Multi-view Facial Expression Recognition Analysis with Generic Sparse Coding Feature. ECCV Workshops (3) 2012: 578-588 - [c14]Po-Sen Huang, Jianchao Yang, Mark Hasegawa-Johnson, Feng Liang, Thomas S. Huang:
Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. INTERSPEECH 2012: 2518-2521 - 2011
- [c13]Haichao Zhang, Jianchao Yang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Close the loop: Joint blind image restoration and recognition with sparse representation prior. ICCV 2011: 770-777 - [c12]Haichao Zhang, Jianchao Yang, Yanning Zhang, Thomas S. Huang:
Multi-scale Non-Local Kernel Regression for super resolution. ICIP 2011: 1353-1356 - [c11]Jianchao Yang, Jiangping Wang, Thomas S. Huang:
Learning the sparse representation for classification. ICME 2011: 1-6 - [c10]Haichao Zhang, Jianchao Yang, Yanning Zhang, Thomas S. Huang:
Sparse representation based blind image deblurring. ICME 2011: 1-6 - 2010
- [c9]Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas S. Huang, Yihong Gong:
Locality-constrained Linear Coding for image classification. CVPR 2010: 3360-3367 - [c8]Jianchao Yang, Kai Yu, Thomas S. Huang:
Supervised translation-invariant sparse coding. CVPR 2010: 3517-3524 - [c7]Jianchao Yang, Kai Yu, Thomas S. Huang:
Efficient Highly Over-Complete Sparse Coding Using a Mixture Model. ECCV (5) 2010: 113-126 - [c6]Haichao Zhang, Jianchao Yang, Yanning Zhang, Thomas S. Huang:
Non-Local Kernel Regression for Image and Video Restoration. ECCV (3) 2010: 566-579 - 2009
- [c5]Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huang:
Linear spatial pyramid matching using sparse coding for image classification. CVPR 2009: 1794-1801 - 2008
- [c4]Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma:
Image super-resolution as sparse representation of raw image patches. CVPR 2008 - [c3]Jianchao Yang, Shuicheng Yan
, Yun Fu, Xuelong Li
, Thomas S. Huang:
Non-negative graph embedding. CVPR 2008 - [c2]Jianchao Yang, Hao Tang, Yi Ma, Thomas S. Huang:
Face hallucination VIA sparse coding. ICIP 2008: 1264-1267 - [c1]Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang, Fengjun Lv, Wei Xu, Ming Yang, Kai Yu, Guangyu Zhu, Yihong Gong:
Surveillance Event Detection. TRECVID 2008
Editorship
- 2017
- [e1]Wanmin Wu, Jianchao Yang, Qi Tian, Roger Zimmermann:
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23 - 27, 2017. ACM 2017, ISBN 978-1-4503-5416-5 [contents]
Informal and Other Publications
- 2022
- [i39]Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang:
Dressing in the Wild by Watching Dance Videos. CoRR abs/2203.15320 (2022) - [i38]Jianchao Yang, Mei Wen, Junzhong Shen, Yasong Cao, Minjin Tang, Renyu Yang, Jiawei Fei, Chunyuan Zhang:
BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays. CoRR abs/2209.09434 (2022) - 2021
- [i37]Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu:
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning. CoRR abs/2104.13114 (2021) - [i36]Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang:
Online Multi-Granularity Distillation for GAN Compression. CoRR abs/2108.06908 (2021) - 2020
- [i35]Jian Ren, Menglei Chai, Sergey Tulyakov, Chen Fang, Xiaohui Shen, Jianchao Yang:
Human Motion Transfer from Poses in the Wild. CoRR abs/2004.03142 (2020) - 2019
- [i34]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement without Paired Supervision. CoRR abs/1906.06972 (2019) - [i33]Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Deep Model Compression via Filter Auto-sampling. CoRR abs/1907.05642 (2019) - [i32]Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. CoRR abs/1912.09640 (2019) - 2018
- [i31]Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han:
Learning 3D-FilterMap for Deep Convolutional Neural Networks. CoRR abs/1801.01609 (2018) - [i30]Zhengyuan Yang, Yuncheng Li, Jianchao Yang, Jiebo Luo:
Action Recognition with Visual Attention on Skeleton Images. CoRR abs/1801.10304 (2018) - [i29]Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos:
Efficient Video Object Segmentation via Network Modulation. CoRR abs/1802.01218 (2018) - [i28]Jian Ren, Jianchao Yang, Ning Xu, David J. Foran:
Factorized Adversarial Networks for Unsupervised Domain Adaptation. CoRR abs/1806.01376 (2018) - [i27]Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching. CoRR abs/1806.01940 (2018) - [i26]Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang:
Wide Activation for Efficient and Accurate Image Super-Resolution. CoRR abs/1808.08718 (2018) - [i25]Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang:
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. CoRR abs/1809.00461 (2018) - [i24]Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, Thomas S. Huang:
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark. CoRR abs/1809.03327 (2018) - [i23]Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas S. Huang:
Slimmable Neural Networks. CoRR abs/1812.08928 (2018) - 2017
- [i22]Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Jia Li:
Learning from Noisy Labels with Distillation. CoRR abs/1703.02391 (2017) - [i21]Yang Zhao, Ronggang Wang, Wei Jia, Jianchao Yang, Wenmin Wang, Wen Gao:
Local Patch Classification Based Framework for Single Image Super-Resolution. CoRR abs/1703.04088 (2017) - [i20]Yang Zhao, Ronggang Wang, Weisheng Dong, Wei Jia, Jianchao Yang, Xiaoping Liu, Wen Gao:
GUN: Gradual Upsampling Network for single image super-resolution. CoRR abs/1703.04244 (2017) - [i19]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR abs/1709.01230 (2017) - [i18]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR abs/1709.03126 (2017) - [i17]Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Learning to Segment Human by Watching YouTube. CoRR abs/1710.01457 (2017) - [i16]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks with Weight Sampling. CoRR abs/1711.10067 (2017) - 2016
- [i15]Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution. CoRR abs/1604.08671 (2016) - [i14]Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. CoRR abs/1605.02677 (2016) - [i13]Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li:
Dense Captioning with Joint Inference and Visual Context. CoRR abs/1611.06949 (2016) - 2015
- [i12]Chen Fang, Hailin Jin, Jianchao Yang, Zhe L. Lin:
Collaborative Feature Learning from Social Media. CoRR abs/1502.01423 (2015) - [i11]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
Learning Super-Resolution Jointly from External and Internal Examples. CoRR abs/1503.01138 (2015) - [i10]Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan:
Deep Human Parsing with Active Template Regression. CoRR abs/1503.02391 (2015) - [i9]Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang:
Designing A Composite Dictionary Adaptively From Joint Examples. CoRR abs/1503.03621 (2015) - [i8]Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan:
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing. CoRR abs/1504.01220 (2015) - [i7]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang:
Self-Tuned Deep Super Resolution. CoRR abs/1504.05632 (2015) - [i6]Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang:
DeepFont: Identify Your Font from An Image. CoRR abs/1507.03196 (2015) - [i5]Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deeply Improved Sparse Coding for Image Super-Resolution. CoRR abs/1507.08905 (2015) - [i4]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Liang Lin, Shuicheng Yan:
Proposal-free Network for Instance-level Object Segmentation. CoRR abs/1509.02636 (2015) - [i3]Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks. CoRR abs/1509.06041 (2015) - [i2]Yingzhen Yang, Jiashi Feng, Jianchao Yang, Thomas S. Huang:
Learning ℓ0-Graph for Data Clustering. CoRR abs/1510.08520 (2015) - 2014
- [i1]Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning using Large Margin Neighborhood Embedding. CoRR abs/1404.6272 (2014)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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