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ORCIDQinfeng Shi
Qinfeng (Javen) Shi – Javen Shi
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- affiliation: University of Adelaide, Australia
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2020 – today
- 2022
[j36]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022)- [j35]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang:
High dynamic range imaging via gradient-aware context aggregation network. Pattern Recognit. 122: 108342 (2022) - 2021
- [j34]Qingsen Yan, Bo Wang, Lei Zhang, Jingyu Zhang, Zheng You, Qinfeng Shi, Yanning Zhang:
Towards accurate HDR imaging with learning generator constraints. Neurocomputing 428: 79-91 (2021) - [j33]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): 1:1-1:22 (2021) - [j32]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): 13-24 (2021) - [j31]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: 2947-2962 (2021) - [j30]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): 2629-2642 (2021) - [j29]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: 2481-2492 (2021) - [c56]Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. WACV 2021: 3732-3741 - [i50]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Learning for Visual Navigation by Imagining the Success. CoRR abs/2103.00446 (2021) - 2020
- [j28]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: 103079 (2020) - [j27]M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu:
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128(10): 2731-2743 (2020) - [j26]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: 250-261 (2020) - [j25]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: 277-288 (2020) - [j24]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: 4308-4322 (2020) - [j23]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): 288-301 (2020) - [j22]Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann:
Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. 32(7): 1393-1404 (2020) - [j21]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): 4170-4184 (2020) - [j20]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): 5468-5482 (2020) - [c55]Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel:
Counterfactual Vision and Language Learning. CVPR 2020: 10041-10051 - [c54]Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. CVPR 2020: 13447-13456 - [c53]Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. ECCV (9) 2020: 177-195 - [c52]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. ICMLA 2020: 87-92 - [c51]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Enhancing Piano Transcription by Dilated Convolution. ICMLA 2020: 1446-1453 - [c50]Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Hamid Rezatofighi, Damith Ranasinghe:
Towards deep clustering of human activities from wearables. ISWC 2020: 1-6 - [c49]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel:
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS 2020 - [i49]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 abs/2001.02381 (2020) - [i48]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 abs/2001.11845 (2020) - [i47]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i46]Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. CoRR abs/2004.03222 (2020) - [i45]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 abs/2004.10987 (2020) - [i44]Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. CoRR abs/2007.02632 (2020) - [i43]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 abs/2007.07172 (2020) - [i42]Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Seyed Hamid Rezatofighi, Damith Chinthana Ranasinghe:
Towards Deep Clustering of Human Activities from Wearables. CoRR abs/2008.01659 (2020) - [i41]Zhenhua Wang, Jiajun Meng, Jin Zhou, Dongyan Guo, Guosheng Lin, Jianhua Zhang, Qinfeng (Javen) Shi, Shengyong Chen:
LAGNet: Logic-Aware Graph Network for Human Interaction Understanding. CoRR abs/2011.10250 (2020)
2010 – 2019
- 2019
- [j19]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: 724-741 (2019) - [j18]Suwichaya Suwanwimolkul, Lei Zhang, Damith Chinthana Ranasinghe, Qinfeng Shi:
One-step adaptive markov random field for structured compressive sensing. Signal Process. 156: 116-144 (2019) - [j17]Rui Yao, Guosheng Lin, Chunhua Shen, Yanning Zhang, Qinfeng Shi:
Semantics-Aware Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1687-1700 (2019) - [j16]Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi:
An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Trans. Image Process. 28(3): 1556-1570 (2019) - [j15]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): 1851-1865 (2019) - [j14]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): 2726-2737 (2019) - [c48]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: 1751-1760 - [c47]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: 4155-4164 - [c46]Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout With a Hierarchical Prior. CVPR 2019: 7124-7133 - [c45]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: 7693-7702 - [c44]M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. CVPR 2019: 10782-10791 - [c43]Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang:
New Convex Relaxations for MRF Inference With Unknown Graphs. ICCV 2019: 9934-9942 - [c42]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. ICMLA 2019: 1353-1358 - [c41]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: 353-366 - [c40]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: 5780-5786 - [c39]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: 41-50 - [i40]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 abs/1901.03796 (2019) - [i39]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 abs/1903.00620 (2019) - [i38]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR abs/1903.11250 (2019) - [i37]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 abs/1904.10293 (2019) - [i36]Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi:
Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. CoRR abs/1905.03721 (2019) - [i35]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi:
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. CoRR abs/1905.04430 (2019) - [i34]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 abs/1905.05404 (2019) - [i33]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 abs/1906.02399 (2019) - [i32]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019) - [i31]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 abs/1906.09433 (2019) - [i30]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR abs/1907.03076 (2019) - [i29]Yinglong Wang, Haokui Zhang, Yu Liu, Qinfeng Shi, Bing Zeng:
Gradient Information Guided Deraining with A Novel Network and Adversarial Training. CoRR abs/1910.03839 (2019) - [i28]Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye:
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. CoRR abs/1911.05202 (2019) - 2018
- [j13]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): 797-821 (2018) - [j12]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: 252-266 (2018) - [c38]Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. AAAI 2018: 3968-3975 - [c37]M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel:
Active Learning from Noisy Tagged Images. BMVC 2018: 252 - [c36]Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi:
Deblurring Natural Image Using Super-Gaussian Fields. ECCV (1) 2018: 467-484 - [c35]Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi:
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) 2018: 675-691 - [c34]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: 246-253 - [i27]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning an Optimizer for Image Deconvolution. CoRR abs/1804.03368 (2018) - [i26]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 abs/1805.00613 (2018) - [i25]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR abs/1810.05438 (2018) - [i24]Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout. CoRR abs/1811.07533 (2018) - [i23]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 abs/1811.08127 (2018) - [i22]Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel:
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR abs/1812.06398 (2018) - [i21]Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR abs/1812.06401 (2018) - 2017
- [j11]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: 1-16 (2017) - [j10]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): 1235-1248 (2017) - [c33]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI 2017: 1934-1940 - [c32]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: 3804-3811 - [c31]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: 3806-3815 - [c30]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: 1-8 - [c29]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV 2017: 1670-1679 - [c28]Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi:
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. IJCAI 2017: 4662-4668 - [i20]Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe:
Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks. CoRR abs/1702.06212 (2017) - [i19]M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick:
Bayesian Conditional Generative Adverserial Networks. CoRR abs/1706.05477 (2017) - [i18]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Beyond Low Rank: A Data-Adaptive Tensor Completion Method. CoRR abs/1708.01008 (2017) - [i17]Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. CoRR abs/1709.04093 (2017) - 2016
- [j9]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): 7223-7235 (2016) - [c27]Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI 2016: 2080-2086 - [c26]Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi:
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. CIKM 2016: 1743-1752 - [c25]Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Matching Using m-Best Solutions. CVPR 2016: 136-145 - [c24]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: 1202-1210 - [c23]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Blind Image Deconvolution by Automatic Gradient Activation. CVPR 2016: 1827-1836 - [c22]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: 5877-5886 - [c21]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field for Hyperspectral Imagery Denoising. ECCV (5) 2016: 631-647 - [i16]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 abs/1603.03627 (2016) - [i15]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 abs/1611.01773 (2016) - [i14]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 abs/1612.02583 (2016) - 2015
- [j8]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): 2-12 (2015) - [j7]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): 1839-1851 (2015) - [j6]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): 2382-2392 (2015) - [j5]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): 4918-4933 (2015) - [c20]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: 4100-4109 - [c19]Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Data Association Revisited. ICCV 2015: 3047-3055 - [c18]Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi:
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. ICCV 2015: 3550-3558 - [c17]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: 3988-3994 - [c16]Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-Based Recommendations on Styles and Substitutes. SIGIR 2015: 43-52 - [i13]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 abs/1503.02828 (2015) - [i12]Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-based Recommendations on Styles and Substitutes. CoRR abs/1506.04757 (2015) - 2014
- [j4]Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multiclass Boosting Through Randomization. IEEE Trans. Neural Networks Learn. Syst. 25(4): 764-779 (2014) - [c15]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR 2014: 1971-1978 - [i11]Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang:
A Hybrid Loss for Multiclass and Structured Prediction. CoRR abs/1402.1921 (2014) - [i10]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR abs/1404.1561 (2014) - [i9]Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. CoRR abs/1411.7450 (2014) - [i8]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. CoRR abs/1412.0826 (2014) - 2013
- [c14]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CVPR 2013: 1562-1569 - [c13]Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel:
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs. CVPR 2013: 1690-1697 - [c12]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Visual Tracking with Online Latent Structural Learning. CVPR 2013: 2363-2370 - [c11]Roberto Luis Shinmoto Torres, Damith Chinthana Ranasinghe, Qinfeng Shi:
Evaluation of Wearable Sensor Tag Data Segmentation Approaches for Real Time Activity Classification in Elderly. MobiQuitous 2013: 384-395 - [i7]Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multi-class Boosting through Randomization. CoRR abs/1302.0963 (2013) - [i6]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CoRR abs/1303.7043 (2013) - [i5]