Qinfeng Shi

ORCID

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 92

Top Venues

CoRR

CVPR

IEEE Trans. Image Process.

ICCV

Publications

Qingsen Yan, Bo Wang, Wei Zhang, Chuan Luo, Wei Xu, Zhengqing Xu, Yanning Zhang, Qinfeng Shi, Liang Zhang, Zheng You
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Qingsen Yan, Bo Wang, Lei Zhang, Jingyu Zhang, Zheng You, Qinfeng Shi, Yanning Zhang
Towards accurate HDR imaging with learning generator constraints. Neurocomputing 428 (2021)
Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Jingyang Ai, Qinfeng Shi, Yanning Zhang, Shuo Jin, Liang Zhang, Zheng You
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. IEEE Trans. Big Data 7 (1) (2021)
Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng
Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Trans. Multim. 23 (2021)
Alireza Abedin, Mahsa Ehsanpour, Qinfeng Shi, Hamid Rezatofighi, Damith C. Ranasinghe
Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (1) (2021)
Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. IEEE Trans. Image Process. 30 (2021)
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS (2020)
Xian Wang, Lingqiao Liu, Qinfeng Shi
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. ICMLA (2020)
Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang
Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Qingsen Yan, Lei Zhang, Yu Liu, Yu Zhu, Jinqiu Sun, Qinfeng Shi, Yanning Zhang
Deep HDR Imaging via A Non-Local Network. IEEE Trans. Image Process. 29 (2020)
Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Hamid Rezatofighi, Damith Ranasinghe
Towards deep clustering of human activities from wearables. ISWC (2020)
Xian Wang, Lingqiao Liu, Qinfeng Shi
Enhancing Piano Transcription by Dilated Convolution. ICMLA (2020)
Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126 (2020)
Qingsen Yan, Bo Wang, Peipei Li, Xianjun Li, Ao Zhang, Qinfeng Shi, Zheng You, Yu Zhu, Jinqiu Sun, Yanning Zhang
Ghost Removal via Channel Attention in Exposure Fusion. Comput. Vis. Image Underst. 201 (2020)
Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. CoRR (2020)
Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. CoRR (2020)
Chongyu Liu, Rui Yao, Seyed Hamid Rezatofighi, Ian Reid, Qinfeng Shi
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Trans. Image Process. 29 (2020)
Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR (2020)
Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Seyed Hamid Rezatofighi, Damith Chinthana Ranasinghe
Towards Deep Clustering of Human Activities from Wearables. CoRR (2020)
Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32 (2) (2020)
Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang
Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Alireza Abedin, Mahsa Ehsanpour, Qinfeng Shi, Hamid Rezatofighi, Damith Chinthana Ranasinghe
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors. CoRR (2020)
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes. CoRR (2019)
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) (2019)
Yinglong Wang, Haokui Zhang, Yu Liu, Qinfeng Shi, Bing Zeng
Gradient Information Guided Deraining with A Novel Network and Adversarial Training. CoRR (2019)
Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CoRR (2019)
Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. CoRR (2019)
Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CVPR (2019)
Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang
Accurate imagery recovery using a multi-observation patch model. Inf. Sci. 501 (2019)
Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. CVPR (2019)
M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu
A Generative Adversarial Density Estimator. CVPR (2019)
Suwichaya Suwanwimolkul, Lei Zhang, Damith Chinthana Ranasinghe, Qinfeng Shi
One-step adaptive markov random field for structured compressive sensing. Signal Process. 156 (2019)
Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR (2019)
Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. 28 (4) (2019)
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR (2019)
Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang
New Convex Relaxations for MRF Inference With Unknown Graphs. ICCV (2019)
Rui Yao, Guosheng Lin, Chunhua Shen, Yanning Zhang, Qinfeng Shi
Semantics-Aware Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29 (6) (2019)
Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21 (11) (2019)
Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR (2019)
Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
Variational Bayesian Dropout With a Hierarchical Prior. CVPR (2019)
Xian Wang, Lingqiao Liu, Qinfeng Shi
Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. ICMLA (2019)
Alireza Abedin, Seyed Hamid Rezatofighi, Qinfeng Shi, Damith Chinthana Ranasinghe
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. IJCAI (2019)
Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR (2019)
Alireza Abedin Varamin, Seyed Hamid Rezatofighi, Qinfeng Shi, Damith Chinthana Ranasinghe
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. CoRR (2019)
Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. WACV (2019)
Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. CoRR (2019)
Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR (2019)
Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi
Deblurring Natural Image Using Super-Gaussian Fields. ECCV (1) (2018)
Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang
Learning an Optimizer for Image Deconvolution. CoRR (2018)
Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. MobiQuitous (2018)
Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
Variational Bayesian Dropout. CoRR (2018)
Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognit. 78 (2018)
Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR (2018)
Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) (2018)
Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid
Joint Learning of Set Cardinality and State Distribution. AAAI (2018)
M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel
Active Learning from Noisy Tagged Images. BMVC (2018)
Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR (2018)
Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. CoRR (2018)
Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. Int. J. Comput. Vis. 126 (8) (2018)
Roberto Luis Shinmoto Torres, Qinfeng Shi, Anton van den Hengel, Damith Chinthana Ranasinghe
A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive Mob. Comput. 40 (2017)
Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. IJCAI (2017)
Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. AAAI (2017)
Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang
Beyond Low Rank: A Data-Adaptive Tensor Completion Method. CoRR (2017)
Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel
Part-Based Robust Tracking Using Online Latent Structured Learning. IEEE Trans. Circuits Syst. Video Technol. 27 (6) (2017)
Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid
Joint Learning of Set Cardinality and State Distribution. CoRR (2017)
Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI (2017)
Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe
Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks. CoRR (2017)
Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV (2017)
Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR (2017)
Chongyu Liu, Rui Yao, Seyed Hamid Rezatofighi, Ian D. Reid, Qinfeng Shi
Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference. DICTA (2017)
M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick
Bayesian Conditional Generative Adverserial Networks. CoRR (2017)
Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
Blind Image Deconvolution by Automatic Gradient Activation. CVPR (2016)
Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid
Joint Probabilistic Matching Using m-Best Solutions. CVPR (2016)
Roberto Luis Shinmoto Torres, Damith Chinthana Ranasinghe, Qinfeng Shi, Anton van den Hengel
Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields. CoRR (2016)
Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. CVPR (2016)
Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR (2016)
Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel
Pairwise Matching through Max-Weight Bipartite Belief Propagation. CVPR (2016)
Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR (2016)
Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
Cluster Sparsity Field for Hyperspectral Imagery Denoising. ECCV (5) (2016)
Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. CIKM (2016)
Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 54 (12) (2016)
Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang
Learning graph structure for multi-label image classification via clique generation. CVPR (2015)
Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel
Image-based Recommendations on Styles and Substitutes. CoRR (2015)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. IEEE Trans. Image Process. 24 (8) (2015)
Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid
Joint Probabilistic Data Association Revisited. ICCV (2015)
Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. ICCV (2015)
Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI (2015)
Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. 24 (12) (2015)
Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen
Hashing on Nonlinear Manifolds. IEEE Trans. Image Process. 24 (6) (2015)
Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel
Image-Based Recommendations on Styles and Substitutes. SIGIR (2015)
Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi
Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. CoRR (2015)
Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel
RandomBoost: Simplified Multiclass Boosting Through Randomization. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)
Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR (2014)
Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen
Hashing on Nonlinear Manifolds. CoRR (2014)
Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR (2014)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
A Hybrid Loss for Multiclass and Structured Prediction. CoRR (2014)
Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. CoRR (2014)
Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel
RandomBoost: Simplified Multi-class Boosting through Randomization CoRR (2013)
Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang
Inductive Hashing on Manifolds. CVPR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qinfeng Shi