Semi-Markov Models for Sequence Segmentation. - Qinfeng Shi; Yasemin Altun; Alexander J. Smola; S. V. N. Vishwanathan (EMNLP-CoNLL, 2007)

Discriminative human action segmentation and recognition using semi-Markov model. - Qinfeng Shi; Li Wang 033; Li Cheng 001; Alexander J. Smola (CVPR, 2008)

Discriminative Maximum Margin Image Object Categorization with Exact Inference. - Qinfeng Shi; Luping Zhou; Li Cheng 001; Dale Schuurmans (ICIG, 2009)

Hash Kernels. - Qinfeng Shi; James Petterson; Gideon Dror; John Langford 001; Alexander J. Smola; Alexander L. Strehl; Vishy Vishwanathan (AISTATS, 2009)

Hash Kernels for Structured Data. - Qinfeng Shi; James Petterson; Gideon Dror; John Langford 001; Alexander J. Smola; S. V. N. Vishwanathan (J. Mach. Learn. Res., 2009)

Rapid face recognition using hashing. - Qinfeng Shi; Hanxi Li; Chunhua Shen (CVPR, 2010)

Conditional Random Fields and Support Vector Machines: A Hybrid Approach - Qinfeng Shi; Mark D. Reid; Tibério S. Caetano (CoRR, 2010)

Real-time Visual Tracking Using Sparse Representation - Hanxi Li; Chunhua Shen; Qinfeng Shi (CoRR, 2010)

Real-time visual tracking using compressive sensing. - Hanxi Li; Chunhua Shen; Qinfeng Shi (CVPR, 2011)

Is face recognition really a Compressive Sensing problem? - Qinfeng Shi; Anders P. Eriksson; Anton van den Hengel; Chunhua Shen (CVPR, 2011)

Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models. - Qinfeng Shi; Li Cheng 001; Li Wang 033; Alexander J. Smola (Int. J. Comput. Vis., 2011)

Non-sparse linear representations for visual tracking with online reservoir metric learning. - Xi Li 001; Chunhua Shen; Qinfeng Shi; Anthony R. Dick; Anton van den Hengel (CVPR, 2012)

Robust Tracking with Weighted Online Structured Learning. - Rui Yao; Qinfeng Shi; Chunhua Shen; Yanning Zhang 001; Anton van den Hengel (ECCV (3), 2012)

Is margin preserved after random projection?. - Qinfeng Shi; Chunhua Shen; Rhys Hill; Anton van den Hengel (ICML, 2012)

Dimensionality reduction via compressive sensing. - Junbin Gao; Qinfeng Shi; Tibério S. Caetano (Pattern Recognit. Lett., 2012)

Inductive Hashing on Manifolds. - Fumin Shen; Chunhua Shen; Qinfeng Shi; Anton van den Hengel; Zhenmin Tang (CVPR, 2013)

Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs. - Zhenhua Wang 003; Qinfeng Shi; Chunhua Shen; Anton van den Hengel (CVPR, 2013)

Part-Based Visual Tracking with Online Latent Structural Learning. - Rui Yao; Qinfeng Shi; Chunhua Shen; Yanning Zhang 001; Anton van den Hengel (CVPR, 2013)

Evaluation of Wearable Sensor Tag Data Segmentation Approaches for Real Time Activity Classification in Elderly. - Roberto Luis Shinmoto Torres; Damith Chinthana Ranasinghe; Qinfeng Shi (MobiQuitous, 2013)

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations. - Zhen Zhang 008; Qinfeng Shi; Yanning Zhang 001; Chunhua Shen; Anton van den Hengel (CoRR, 2013)

RandomBoost: Simplified Multi-class Boosting through Randomization - Sakrapee Paisitkriangkrai; Chunhua Shen; Qinfeng Shi; Anton van den Hengel (CoRR, 2013)

Fast Supervised Hashing with Decision Trees for High-Dimensional Data. - Guosheng Lin; Chunhua Shen; Qinfeng Shi; Anton van den Hengel; David Suter (CVPR, 2014)

RandomBoost: Simplified Multiclass Boosting Through Randomization. - Sakrapee Paisitkriangkrai; Chunhua Shen; Qinfeng Shi; Anton van den Hengel (IEEE Trans. Neural Networks Learn. Syst., 2014)

Learning graph structure for multi-label image classification via clique generation. - Mingkui Tan; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Junbin Gao; Fuyuan Hu; Zhen Zhang 008 (CVPR, 2015)

Joint Probabilistic Data Association Revisited. - Seyed Hamid Rezatofighi; Anton Milan; Zhen Zhang 008; Qinfeng Shi; Anthony R. Dick; Ian D. Reid 001 (ICCV, 2015)

Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. - Lei Zhang 054; Wei Wei 008; Yanning Zhang 001; Fei Li 011; Chunhua Shen; Qinfeng Shi (ICCV, 2015)

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. - Yan Yan 006; Mingkui Tan; Ivor W. Tsang; Yi Yang 001; Chengqi Zhang; Qinfeng Shi (IJCAI, 2015)

Image-Based Recommendations on Styles and Substitutes. - Julian J. McAuley; Christopher Targett; Qinfeng Shi; Anton van den Hengel (SIGIR, 2015)

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. - Mingkui Tan; Shijie Xiao; Junbin Gao; Dong Xu 001; Anton van den Hengel; Qinfeng Shi (CoRR, 2015)

A Hybrid Loss for Multiclass and Structured Prediction. - Qinfeng Shi; Mark D. Reid; Tibério S. Caetano; Anton van den Hengel; Zhenhua Wang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. - Hui Li 031; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (IEEE Trans. Image Process., 2015)

Hashing on Nonlinear Manifolds. - Fumin Shen; Chunhua Shen; Qinfeng Shi; Anton van den Hengel; Zhenmin Tang; Heng Tao Shen (IEEE Trans. Image Process., 2015)

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. - Ming Yin 002; Junbin Gao; Zhouchen Lin; Qinfeng Shi; Yi Guo 001 (IEEE Trans. Image Process., 2015)

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. - Mingkui Tan; Yan Yan 006; Li Wang 033; Anton van den Hengel; Ivor W. Tsang; Qinfeng (Javen) Shi (AAAI, 2016)

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. - Wei Emma Zhang; Mingkui Tan; Quan Z. Sheng; Lina Yao 001; Qinfeng Shi (CIKM, 2016)

Blind Image Deconvolution by Automatic Gradient Activation. - Dong Gong; Mingkui Tan; Yanning Zhang 001; Anton van den Hengel; Qinfeng Shi (CVPR, 2016)

Joint Probabilistic Matching Using m-Best Solutions. - Seyed Hamid Rezatofighi; Anton Milan; Zhen Zhang 008; Qinfeng Shi; Anthony R. Dick; Ian D. Reid 001 (CVPR, 2016)

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. - Mingkui Tan; Shijie Xiao; Junbin Gao; Dong Xu 001; Anton van den Hengel; Qinfeng Shi (CVPR, 2016)

Pairwise Matching through Max-Weight Bipartite Belief Propagation. - Zhen Zhang 008; Qinfeng Shi; Julian J. McAuley; Wei Wei 008; Yanning Zhang 001; Anton van den Hengel (CVPR, 2016)

Cluster Sparsity Field for Hyperspectral Imagery Denoising. - Lei Zhang 054; Wei Wei 008; Yanning Zhang 001; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (ECCV (5), 2016)

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. - Yong Guo; Mingkui Tan; Qingyao Wu; Jian Chen 011; Anton van den Hengel; Qinfeng Shi (CoRR, 2016)

Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields. - Roberto Luis Shinmoto Torres; Damith Chinthana Ranasinghe; Qinfeng Shi; Anton van den Hengel (CoRR, 2016)

Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. - Lei Zhang 054; Wei Wei 008; Yanning Zhang 001; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (IEEE Trans. Geosci. Remote. Sens., 2016)

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. - Dong Gong; Mingkui Tan; Yanning Zhang 001; Anton van den Hengel; Qinfeng Shi (AAAI, 2017)

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. - Zhen Zhang 008; Qinfeng Shi; Julian J. McAuley; Wei Wei 008; Yanning Zhang 001; Rui Yao; Anton van den Hengel (AAAI, 2017)

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. - Dong Gong; Jie Yang 002; Lingqiao Liu; Yanning Zhang 001; Ian D. Reid 001; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (CVPR, 2017)

Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference. - Chongyu Liu; Rui Yao; Seyed Hamid Rezatofighi; Ian D. Reid 001; Qinfeng Shi (DICTA, 2017)

Self-Paced Kernel Estimation for Robust Blind Image Deblurring. - Dong Gong; Mingkui Tan; Yanning Zhang 001; Anton van den Hengel; Qinfeng Shi (ICCV, 2017)

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. - Zhen Zhang 008; Julian J. McAuley; Yong Li; Wei Wei 008; Yanning Zhang 001; Qinfeng Shi (IJCAI, 2017)

Bayesian Conditional Generative Adverserial Networks. - M. Ehsan Abbasnejad; Qinfeng Shi; Iman Abbasnejad; Anton van den Hengel; Anthony R. Dick (CoRR, 2017)

Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks. - Rui Yao; Guosheng Lin; Qinfeng Shi; Damith Chinthana Ranasinghe (CoRR, 2017)

Beyond Low Rank: A Data-Adaptive Tensor Completion Method. - Lei Zhang 054; Wei Wei 008; Qinfeng Shi; Chunhua Shen; Anton van den Hengel; Yanning Zhang 001 (CoRR, 2017)

A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. - Roberto Luis Shinmoto Torres; Qinfeng Shi; Anton van den Hengel; Damith Chinthana Ranasinghe (Pervasive Mob. Comput., 2017)

Part-Based Robust Tracking Using Online Latent Structured Learning. - Rui Yao; Qinfeng Shi; Chunhua Shen; Yanning Zhang 001; Anton van den Hengel (IEEE Trans. Circuits Syst. Video Technol., 2017)

Joint Learning of Set Cardinality and State Distribution. - Seyed Hamid Rezatofighi; Anton Milan; Qinfeng Shi; Anthony R. Dick; Ian D. Reid 001 (AAAI, 2018)

Active Learning from Noisy Tagged Images. - M. Ehsan Abbasnejad; Anthony R. Dick; Qinfeng Shi; Anton van den Hengel (BMVC, 2018)

Deblurring Natural Image Using Super-Gaussian Fields. - Yuhang Liu 002; Wenyong Dong; Dong Gong; Lei Zhang 054; Qinfeng Shi (ECCV (1), 2018)

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. - Jie Yang 002; Dong Gong; Lingqiao Liu; Qinfeng Shi (ECCV (3), 2018)

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. - Alireza Abedin Varamin; Ehsan Abbasnejad; Qinfeng Shi; Damith Chinthana Ranasinghe; Seyed Hamid Rezatofighi (MobiQuitous, 2018)

Learning an Optimizer for Image Deconvolution. - Dong Gong; Zhen Zhang 008; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Yanning Zhang 001 (CoRR, 2018)

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. - Seyed Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (CoRR, 2018)

Variational Bayesian Dropout. - Yuhang Liu 002; Wenyong Dong; Lei Zhang 054; Dong Gong; Qinfeng Shi (CoRR, 2018)

An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. - Ehsan Abbasnejad; Qi Wu 001; Iman Abbasnejad; Javen Shi; Anton van den Hengel (CoRR, 2018)

Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. - Lei Zhang 054; Wei Wei 008; Yanning Zhang 001; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (Int. J. Comput. Vis., 2018)

Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. - Rui Yao; Guosheng Lin; Qinfeng Shi; Damith Chinthana Ranasinghe (Pattern Recognit., 2018)

A Generative Adversarial Density Estimator. - M. Ehsan Abbasnejad; Qinfeng Shi; Anton van den Hengel; Lingqiao Liu (CVPR, 2019)

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. - Ehsan Abbasnejad; Qi Wu 001; Qinfeng Shi; Anton van den Hengel (CVPR, 2019)

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. - Jie Li 040; Yu Liu 029; Dong Gong; Qinfeng Shi; Xia Yuan; Chunxia Zhao; Ian D. Reid 001 (CVPR, 2019)

Variational Bayesian Dropout With a Hierarchical Prior. - Yuhang Liu 002; Wenyong Dong; Lei Zhang 054; Dong Gong; Qinfeng Shi (CVPR, 2019)

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. - Qingsen Yan; Dong Gong; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Ian D. Reid 001; Yanning Zhang 001 (CVPR, 2019)

New Convex Relaxations for MRF Inference With Unknown Graphs. - Zhenhua Wang 003; Tong Liu; Qinfeng Shi; M. Pawan Kumar; Jianhua Zhang 002 (ICCV, 2019)

Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. - Xian Wang; Lingqiao Liu; Qinfeng Shi (ICMLA, 2019)

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. - Mehdi Neshat; Ehsan Abbasnejad; Qinfeng Shi; Bradley Alexander; Markus Wagner 007 (ICONIP (2), 2019)

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. - Alireza Abedin; Seyed Hamid Rezatofighi; Qinfeng Shi; Damith Chinthana Ranasinghe (IJCAI, 2019)

Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. - Qingsen Yan; Dong Gong; Pingping Zhang; Qinfeng Shi; Jinqiu Sun; Ian David Reid; Yanning Zhang 001 (WACV, 2019)

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. - Yu Liu 029; Lingqiao Liu; Seyed Hamid Rezatofighi; Thanh-Toan Do; Qinfeng Shi; Ian D. Reid 001 (CoRR, 2019)

Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. - Amin Parvaneh; Ehsan Abbasnejad; Qi Wu 001; Javen Shi (CoRR, 2019)

Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. - Mohammad Mahdi Kazemi Moghaddam; Ehsan Abbasnejad; Javen Shi (CoRR, 2019)

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. - Yinglong Wang 002; Dong Gong; Jie Yang 002; Qinfeng Shi; Anton van den Hengel; Dehua Xie; Bing Zeng (CoRR, 2019)

CVPR19 Tracking and Detection Challenge: How crowded can it get? - Patrick Dendorfer; Seyed Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes. - Yinglong Wang 002; Qinfeng Shi; Ehsan Abbasnejad; Chao Ma 004; Xiaoping Ma; Bing Zeng (CoRR, 2019)

Gradient Information Guided Deraining with A Novel Network and Adversarial Training. - Yinglong Wang 002; Haokui Zhang; Yu Liu 029; Qinfeng Shi; Bing Zeng (CoRR, 2019)

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. - Liangyi Kang; Jie Liu 008; Lingqiao Liu; Qinfeng Shi; Dan Ye 004 (CoRR, 2019)

Accurate imagery recovery using a multi-observation patch model. - Lei Zhang 054; Wei Wei 008; Qinfeng Shi; Chunhua Shen; Anton van den Hengel; Yanning Zhang 001 (Inf. Sci., 2019)

One-step adaptive markov random field for structured compressive sensing. - Suwichaya Suwanwimolkul; Lei Zhang 054; Damith Chinthana Ranasinghe; Qinfeng Shi (Signal Process., 2019)

Semantics-Aware Visual Object Tracking. - Rui Yao; Guosheng Lin; Chunhua Shen; Yanning Zhang 001; Qinfeng Shi (IEEE Trans. Circuits Syst. Video Technol., 2019)

MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. - Dong Gong; Mingkui Tan; Qinfeng Shi; Anton van den Hengel; Yanning Zhang 001 (IEEE Trans. Image Process., 2019)

An Adaptive Markov Random Field for Structured Compressive Sensing. - Suwichaya Suwanwimolkul; Lei Zhang 054; Dong Gong; Zhen Zhang 008; Chao Chen 012; Damith Chinthana Ranasinghe; Qinfeng (Javen) Shi (IEEE Trans. Image Process., 2019)

Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. - Yong Guo; Qi Chen 014; Jian Chen 011; Qingyao Wu; Qinfeng Shi; Mingkui Tan (IEEE Trans. Multim., 2019)

Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. - Ehsan Abbasnejad; Iman Abbasnejad; Qi Wu 001; Javen Shi; Anton van den Hengel (CVPR, 2020)

Counterfactual Vision and Language Learning. - Ehsan Abbasnejad; Damien Teney; Amin Parvaneh; Javen Shi; Anton van den Hengel (CVPR, 2020)

Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. - Mahsa Ehsanpour; Alireza Abedin; Fatemeh Sadat Saleh; Javen Shi; Ian D. Reid 001; Hamid Rezatofighi (ECCV (9), 2020)

Harmonic Structure-Based Neural Network Model for Music Pitch Detection. - Xian Wang; Lingqiao Liu; Qinfeng Shi (ICMLA, 2020)

Enhancing Piano Transcription by Dilated Convolution. - Xian Wang; Lingqiao Liu; Qinfeng Shi (ICMLA, 2020)

Towards deep clustering of human activities from wearables. - Alireza Abedin; Farbod T. Motlagh; Qinfeng Shi; Hamid Rezatofighi; Damith Ranasinghe (ISWC, 2020)

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. - Amin Parvaneh; Ehsan Abbasnejad; Damien Teney; Qinfeng Shi; Anton van den Hengel (NeurIPS, 2020)

Learn to Predict Sets Using Feed-Forward Neural Networks. - Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (CoRR, 2020)

MOT20: A benchmark for multi object tracking in crowded scenes. - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2020)

Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. - Mohammad Mahdi Kazemi Moghaddam; Qi Wu 001; Ehsan Abbasnejad; Javen Shi (CoRR, 2020)

COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. - Qingsen Yan; Bo Wang 011; Dong Gong; Chuan Luo 003; Wei Zhao; Jianhu Shen; Qinfeng Shi; Shuo Jin; Liang Zhang 010; Zheng You (CoRR, 2020)

LAGNet: Logic-Aware Graph Network for Human Interaction Understanding. - Zhenhua Wang 003; Jiajun Meng; Jin Zhou; Dongyan Guo; Guosheng Lin; Jianhua Zhang 002; Qinfeng (Javen) Shi; Shengyong Chen (CoRR, 2020)

Ghost Removal via Channel Attention in Exposure Fusion. - Qingsen Yan; Bo Wang 011; Peipei Li; Xianjun Li; Ao Zhang; Qinfeng Shi; Zheng You; Yu Zhu 004; Jinqiu Sun; Yanning Zhang 001 (Comput. Vis. Image Underst., 2020)

GADE: A Generative Adversarial Approach to Density Estimation and its Applications. - M. Ehsan Abbasnejad; Javen Shi; Anton van den Hengel; Lingqiao Liu (Int. J. Comput. Vis., 2020)

Multi-way backpropagation for training compact deep neural networks. - Yong Guo; Jian Chen 011; Qing Du; Anton van den Hengel; Qinfeng Shi; Mingkui Tan (Neural Networks, 2020)

Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. - Chongyu Liu; Rui Yao; Seyed Hamid Rezatofighi; Ian Reid 001; Qinfeng Shi (IEEE Trans. Image Process., 2020)

Deep HDR Imaging via A Non-Local Network. - Qingsen Yan; Lei Zhang 054; Yu Liu 029; Yu Zhu 004; Jinqiu Sun; Qinfeng Shi; Yanning Zhang 001 (IEEE Trans. Image Process., 2020)

Learning Distilled Graph for Large-Scale Social Network Data Clustering. - Wenhe Liu; Dong Gong; Mingkui Tan; Qinfeng (Javen) Shi; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Knowl. Data Eng., 2020)

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. - Yan Yan 006; Mingkui Tan; Ivor W. Tsang; Yi Yang 001; Qinfeng Shi; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2020)

Learning Deep Gradient Descent Optimization for Image Deconvolution. - Dong Gong; Zhen Zhang 008; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Yanning Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Accurate Tensor Completion via Adaptive Low-Rank Representation. - Lei Zhang 054; Wei Wei 008; Qinfeng Shi; Chunhua Shen; Anton van den Hengel; Yanning Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. - Qingsen Yan; Bo Wang 011; Dong Gong; Dingwen Zhang; Yang Yang 009; Zheng You; Yanning Zhang 001; Javen Qinfeng Shi (BMVC, 2021)

Consistency-Aware Graph Network for Human Interaction Understanding. - Zhenhua Wang 003; Jiajun Meng; Dongyan Guo; Jianhua Zhang 002; Qinfeng (Javen) Shi; Shengyong Chen (ICCV, 2021)

Memory-augmented Dynamic Neural Relational Inference. - Dong Gong; Zhen Zhang 008; Qinfeng (Javen) Shi; Anton van den Hengel (ICCV, 2021)

Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. - Mohammad Mahdi Kazemi Moghaddam; Qi Wu 001; Ehsan Abbasnejad; Javen Shi (WACV, 2021)

Learning for Visual Navigation by Imagining the Success. - Mohammad Mahdi Kazemi Moghaddam; Ehsan Abbasnejad; Qi Wu 001; Javen Shi; Anton van den Hengel (CoRR, 2021)

Towards accurate HDR imaging with learning generator constraints. - Qingsen Yan; Bo Wang 011; Lei Zhang 054; Jingyu Zhang; Zheng You; Qinfeng Shi; Yanning Zhang 001 (Neurocomputing, 2021)

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors. - Alireza Abedin; Mahsa Ehsanpour; Qinfeng Shi; Hamid Rezatofighi; Damith C. Ranasinghe (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. - Qingsen Yan; Bo Wang 011; Dong Gong; Chuan Luo 003; Wei Zhao; Jianhu Shen; Jingyang Ai; Qinfeng Shi; Yanning Zhang 001; Shuo Jin; Liang Zhang 010; Zheng You (IEEE Trans. Big Data, 2021)

Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. - Wei Sun 036; Dong Gong; Qinfeng Shi; Anton van den Hengel; Yanning Zhang 001 (IEEE Trans. Image Process., 2021)

Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation. - Qingsen Yan; Bo Wang 011; Wei Zhang 098; Chuan Luo 003; Wei Xu 005; Zhengqing Xu; Yanning Zhang 001; Qinfeng Shi; Liang Zhang 010; Zheng You (IEEE J. Biomed. Health Informatics, 2021)

Deep Single Image Deraining via Modeling Haze-Like Effect. - Yinglong Wang 002; Dong Gong; Jie Yang 002; Qinfeng Shi; Anton van den Hengel; Dehua Xie; Bing Zeng (IEEE Trans. Multim., 2021)

Active Learning by Feature Mixing. - Amin Parvaneh; Ehsan Abbasnejad; Damien Teney; Reza Haffari; Anton van den Hengel; Javen Qinfeng Shi (CVPR, 2022)

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. - Eduardo Pérez-Pellitero; Sibi Catley-Chandar; Richard Shaw; Ales Leonardis; Radu Timofte; Zexin Zhang; Cen Liu; Yunbo Peng; Yue Lin 002; Gaocheng Yu; Jin Zhang; Zhe Ma; et al. (CVPR Workshops, 2022)

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. - Qingsen Yan; Dong Gong; Yuhang Liu 002; Anton van den Hengel; Javen Qinfeng Shi (CVPR, 2022)

A Lightweight Network for High Dynamic Range Imaging. - Qingsen Yan; Song Zhang; Weiye Chen; Yuhang Liu 002; Zhen Zhang 008; Yanning Zhang 001; Javen Qinfeng Shi; Dong Gong (CVPR Workshops, 2022)

Implicit Sample Extension for Unsupervised Person Re-Identification. - Xinyu Zhang 015; Dongdong Li; Zhigang Wang 002; Jian Wang 066; Errui Ding; Javen Qinfeng Shi; Zhaoxiang Zhang 001; Jingdong Wang 001 (CVPR, 2022)

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. - Bao Gia Doan; Ehsan Abbasnejad; Javen Qinfeng Shi; Damith C. Ranasinghe (ICML, 2022)

Truncated Matrix Power Iteration for Differentiable DAG Learning. - Zhen Zhang 008; Ignavier Ng; Dong Gong; Yuhang Liu 002; Ehsan Abbasnejad; Mingming Gong; Kun Zhang 001; Javen Qinfeng Shi (NeurIPS, 2022)

ForeSI: Success-Aware Visual Navigation Agent. - Mohammad Mahdi Kazemi Moghaddam; Ehsan Abbasnejad; Qi Wu 001; Qinfeng (Javen) Shi; Anton van den Hengel (WACV, 2022)

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. - Jinan Zou; Haiyao Cao; Lingqiao Liu; Yuhao Lin; Ehsan Abbasnejad; Javen Qinfeng Shi (CoRR, 2022)

Weight-variant Latent Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2022)

Identifying Latent Causal Content for Multi-Source Domain Adaptation. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2022)

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. - Qingsen Yan; Dong Gong; Qinfeng (Javen) Shi; Anton van den Hengel; Chunhua Shen; Ian D. Reid 001; Yanning Zhang 001 (Int. J. Comput. Vis., 2022)

Learn to Predict Sets Using Feed-Forward Neural Networks. - Hamid Rezatofighi; Tianyu Zhu 001; Roman Kaskman; Farbod T. Motlagh; Javen Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Video super-resolution via mixed spatial-temporal convolution and selective fusion. - Wei Sun 036; Dong Gong; Javen Qinfeng Shi; Anton van den Hengel; Yanning Zhang 001 (Pattern Recognit., 2022)

High dynamic range imaging via gradient-aware context aggregation network. - Qingsen Yan; Dong Gong; Qinfeng (Javen) Shi; Anton van den Hengel; Jinqiu Sun; Yu Zhu 004; Yanning Zhang 001 (Pattern Recognit., 2022)

Computationally Efficient Dilated Convolutional Model for Melody Extraction. - Xian Wang; Lingqiao Liu; Javen Qinfeng Shi (IEEE Signal Process. Lett., 2022)

Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead. - Amin Parvaneh; Ehsan Abbasnejad; Qi Wu 001; Qinfeng (Javen) Shi; Anton van den Hengel (IEEE Trans. Multim., 2022)

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. - Yuhao Lin; Haiming Xu; Lingqiao Liu; Jinan Zou; Javen Shi (DICTA, 2023)

A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. - Jinan Zou; Yanxi Liu 002; Yuankai Qi; Haiyao Cao; Lingqiao Liu; Javen Qinfeng Shi (ICAIF, 2023)

Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models. - Mohamed Khalil Jabri; Panagiotis Papadakis; Ehsan Abbasnejad; Gilles Coppin; Javen Shi (ICINCO (2), 2023)

CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models. - Yichao Cai 001; Yuhang Liu 002; Zhen Zhang 008; Javen Qinfeng Shi (CoRR, 2023)

Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. - Hamed Damirchi; Cristian Rodriguez Opazo; Ehsan Abbasnejad; Damien Teney; Javen Qinfeng Shi; Stephen Gould; Anton van den Hengel (CoRR, 2023)

Factor Graph Neural Networks. - Zhen Zhang 008; Mohammed Haroon Dupty; Fan Wu 011; Javen Qinfeng Shi; Wee Sun Lee (J. Mach. Learn. Res., 2023)

SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring. - Qingsen Yan; Dong Gong; Pei Wang; Zhen Zhang 008; Yanning Zhang 001; Javen Qinfeng Shi (IEEE Trans. Image Process., 2023)

3D Medical image segmentation using parallel transformers. - Qingsen Yan; Shengqiang Liu; Songhua Xu; Caixia Dong; Zongfang Li; Javen Qinfeng Shi; Yanning Zhang 001; Duwei Dai (Pattern Recognit., 2023)

Human Interaction Understanding With Consistency-Aware Learning. - Jiajun Meng; Zhenhua Wang 003; Kaining Ying; Jianhua Zhang 002; Dongyan Guo; Zhen Zhang 008; Javen Qinfeng Shi; Shengyong Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Augmented Commonsense Knowledge for Remote Object Grounding. - Bahram Mohammadi; Yicong Hong; Yuankai Qi; Qi Wu 001; Shirui Pan; Javen Qinfeng Shi (AAAI, 2024)

Semantic Role Labeling Guided Out-of-distribution Detection. - Jinan Zou; Maihao Guo; Yu Tian 001; Yuhao Lin; Haiyao Cao; Lingqiao Liu; Ehsan Abbasnejad; Javen Qinfeng Shi (LREC/COLING, 2024)

CLAP: Isolating Content from Style Through Contrastive Learning with Augmented Prompts. - Yichao Cai 001; Yuhang Liu 002; Zhen Zhang 008; Javen Qinfeng Shi (ECCV (21), 2024)

Invariant Representation Learning for Generalizable Imitation. - Mohamed Khalil Jabri; Panagiotis Papadakis; Ehsan Abbasnejad; Gilles Coppin; Javen Shi (ESANN, 2024)

Identifiable Latent Polynomial Causal Models through the Lens of Change. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (ICLR, 2024)

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Biwei Huang; Mingming Gong; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2024)

Identifiable Latent Neural Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2024)

MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models. - Hongrong Cheng; Miao Zhang; Javen Qinfeng Shi (CoRR, 2024)

Rethinking State Disentanglement in Causal Reinforcement Learning. - Haiyao Cao; Zhen Zhang 008; Panpan Cai; Yuhang Liu 002; Jinan Zou; Ehsan Abbasnejad; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2024)

Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. - Yuhao Lin; Lingqiao Liu; Javen Shi (CoRR, 2024)

InvariantStock: Learning Invariant Features for Mastering the Shifting Market. - Haiyao Cao; Jinan Zou; Yuhang Liu 002; Zhen Zhang 008; Ehsan Abbasnejad; Anton van den Hengel; Javen Qinfeng Shi (Trans. Mach. Learn. Res., 2024)

Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining. - Hongrong Cheng; Miao Zhang; Javen Qinfeng Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations. - Hongrong Cheng; Miao Zhang; Javen Qinfeng Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Analytic DAG Constraints for Differentiable DAG Learning. - Zhen Zhang 008; Ignavier Ng; Dong Gong; Yuhang Liu 002; Mingming Gong; Biwei Huang; Kun Zhang 001; Anton van den Hengel; Javen Qinfeng Shi (ICLR, 2025)

Coreset Selection via Reducible Loss in Continual Learning. - Ruilin Tong; Yuhang Liu 002; Javen Qinfeng Shi; Dong Gong (ICLR, 2025)

A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting. - Yuhao Lin; Haiming Xu; Lingqiao Liu; Javen Qinfeng Shi (WACV, 2025)

One-stage keypoint detection network for end-to-end cow body measurement. - Guangyuan Yang; Yongliang Qiao; Hongxing Deng; Javen Qinfeng Shi; Huaibo Song (Eng. Appl. Artif. Intell., 2025)

Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (Trans. Mach. Learn. Res., 2025)

Highway Graph to Accelerate Reinforcement Learning. - Zidu Yin; Zhen Zhang 008; Dong Gong; Stefano V. Albrecht; Javen Qinfeng Shi (Trans. Mach. Learn. Res., 2025)

I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? - Yuhang Liu 002; Dong Gong; Erdun Gao; Zhen Zhang 008; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning. - Mingkai Tian; Guorong Li; Yuankai Qi; Amin Beheshti; Javen Qinfeng Shi; Anton van den Hengel; Qingming Huang (CoRR, 2025)

Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning. - Yichao Cai 001; Yuhang Liu 002; Erdun Gao; Tianjiao Jiang; Zhen Zhang 008; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models. - Bahram Mohammadi; Ehsan Abbasnejad; Yuankai Qi; Qi Wu 001; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning. - Tianjiao Jiang; Zhen Zhang 008; Yuhang Liu 002; Javen Qinfeng Shi (CoRR, 2025)