Qinfeng Shi

Orcid: 0000-0002-9126-2107

Affiliations:
  • University of Adelaide, Australia


According to our database1, Qinfeng Shi authored at least 160 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

InvariantStock: Learning Invariant Features for Mastering the Shifting Market.
CoRR, 2024

Rethinking State Disentanglement in Causal Reinforcement Learning.
CoRR, 2024

MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models.
CoRR, 2024

Highway Graph to Accelerate Reinforcement Learning.
CoRR, 2024

Identifiable Latent Neural Causal Models.
CoRR, 2024

A Simple-but-effective Baseline for Training-free Class-Agnostic Counting.
CoRR, 2024

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models.
CoRR, 2024

Identifiable Latent Polynomial Causal Models through the Lens of Change.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CLAP: Isolating Content from Style Through Contrastive Learning with Augmented Prompts.
Proceedings of the Computer Vision - ECCV 2024, 2024

Semantic Role Labeling Guided Out-of-distribution Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Augmented Commonsense Knowledge for Remote Object Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Human Interaction Understanding With Consistency-Aware Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

3D Medical image segmentation using parallel transformers.
Pattern Recognit., June, 2023

SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring.
IEEE Trans. Image Process., 2023

Factor Graph Neural Networks.
J. Mach. Learn. Res., 2023

Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines.
CoRR, 2023

CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models.
CoRR, 2023

Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models.
Proceedings of the 20th International Conference on Informatics in Control, 2023

A Generative Approach for Comprehensive Financial Event Extraction at the Document Level.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead.
IEEE Trans. Multim., 2022

Computationally Efficient Dilated Convolutional Model for Melody Extraction.
IEEE Signal Process. Lett., 2022

High dynamic range imaging via gradient-aware context aggregation network.
Pattern Recognit., 2022

Video super-resolution via mixed spatial-temporal convolution and selective fusion.
Pattern Recognit., 2022

Learn to Predict Sets Using Feed-Forward Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.
Int. J. Comput. Vis., 2022

Identifying Latent Causal Content for Multi-Source Domain Adaptation.
CoRR, 2022

Weight-variant Latent Causal Models.
CoRR, 2022

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model.
CoRR, 2022

ForeSI: Success-Aware Visual Navigation Agent.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense.
Proceedings of the International Conference on Machine Learning, 2022

Implicit Sample Extension for Unsupervised Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Lightweight Network for High Dynamic Range Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


Active Learning by Feature Mixing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep Single Image Deraining via Modeling Haze-Like Effect.
IEEE Trans. Multim., 2021

Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.
IEEE J. Biomed. Health Informatics, 2021

Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation.
IEEE Trans. Image Process., 2021

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations.
IEEE Trans. Big Data, 2021

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Towards accurate HDR imaging with learning generator constraints.
Neurocomputing, 2021

Learning for Visual Navigation by Imagining the Success.
CoRR, 2021

Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Memory-augmented Dynamic Neural Relational Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Consistency-Aware Graph Network for Human Interaction Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Accurate Tensor Completion via Adaptive Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Deep Gradient Descent Optimization for Image Deconvolution.
IEEE Trans. Neural Networks Learn. Syst., 2020

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study.
IEEE Trans. Knowl. Data Eng., 2020

Learning Distilled Graph for Large-Scale Social Network Data Clustering.
IEEE Trans. Knowl. Data Eng., 2020

Deep HDR Imaging via A Non-Local Network.
IEEE Trans. Image Process., 2020

Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference.
IEEE Trans. Image Process., 2020

Multi-way backpropagation for training compact deep neural networks.
Neural Networks, 2020

GADE: A Generative Adversarial Approach to Density Estimation and its Applications.
Int. J. Comput. Vis., 2020

Ghost Removal via Channel Attention in Exposure Fusion.
Comput. Vis. Image Underst., 2020

LAGNet: Logic-Aware Graph Network for Human Interaction Understanding.
CoRR, 2020

COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution.
CoRR, 2020

Utilising Prior Knowledge for Visual Navigation: Distil and Adapt.
CoRR, 2020

MOT20: A benchmark for multi object tracking in crowded scenes.
CoRR, 2020

Learn to Predict Sets Using Feed-Forward Neural Networks.
CoRR, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards deep clustering of human activities from wearables.
Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

Enhancing Piano Transcription by Dilated Convolution.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Harmonic Structure-Based Neural Network Model for Music Pitch Detection.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision and Language Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis.
IEEE Trans. Multim., 2019

An Adaptive Markov Random Field for Structured Compressive Sensing.
IEEE Trans. Image Process., 2019

MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution.
IEEE Trans. Image Process., 2019

Semantics-Aware Visual Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2019

One-step adaptive markov random field for structured compressive sensing.
Signal Process., 2019

Accurate imagery recovery using a multi-observation patch model.
Inf. Sci., 2019

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction.
CoRR, 2019

Gradient Information Guided Deraining with A Novel Network and Adversarial Training.
CoRR, 2019

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes.
CoRR, 2019

CVPR19 Tracking and Detection Challenge: How crowded can it get?
CoRR, 2019

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.
CoRR, 2019

Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection.
CoRR, 2019

Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator.
CoRR, 2019

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes.
CoRR, 2019

Multi-Scale Dense Networks for Deep High Dynamic Range Imaging.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

New Convex Relaxations for MRF Inference With Unknown Graphs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Variational Bayesian Dropout With a Hierarchical Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Generative Adversarial Density Estimator.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks.
Pattern Recognit., 2018

Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction.
Int. J. Comput. Vis., 2018

An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks.
CoRR, 2018

Variational Bayesian Dropout.
CoRR, 2018

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks.
CoRR, 2018

Learning an Optimizer for Image Deconvolution.
CoRR, 2018

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deblurring Natural Image Using Super-Gaussian Fields.
Proceedings of the Computer Vision - ECCV 2018, 2018

Active Learning from Noisy Tagged Images.
Proceedings of the British Machine Vision Conference 2018, 2018

Joint Learning of Set Cardinality and State Distribution.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Part-Based Robust Tracking Using Online Latent Structured Learning.
IEEE Trans. Circuits Syst. Video Technol., 2017

A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people.
Pervasive Mob. Comput., 2017

Beyond Low Rank: A Data-Adaptive Tensor Completion Method.
CoRR, 2017

Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks.
CoRR, 2017

Bayesian Conditional Generative Adverserial Networks.
CoRR, 2017

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-Paced Kernel Estimation for Robust Blind Image Deblurring.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing.
IEEE Trans. Geosci. Remote. Sens., 2016

Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields.
CoRR, 2016

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs.
CoRR, 2016

Cluster Sparsity Field for Hyperspectral Imagery Denoising.
Proceedings of the Computer Vision - ECCV 2016, 2016

Pairwise Matching through Max-Weight Bipartite Belief Propagation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Joint Probabilistic Matching Using m-Best Solutions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Blind Image Deconvolution by Automatic Gradient Activation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.
IEEE Trans. Image Process., 2015

Hashing on Nonlinear Manifolds.
IEEE Trans. Image Process., 2015

Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems.
IEEE Trans. Image Process., 2015

A Hybrid Loss for Multiclass and Structured Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient.
CoRR, 2015

Image-Based Recommendations on Styles and Substitutes.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Joint Probabilistic Data Association Revisited.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning graph structure for multi-label image classification via clique generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
RandomBoost: Simplified Multiclass Boosting Through Randomization.
IEEE Trans. Neural Networks Learn. Syst., 2014

Fast Supervised Hashing with Decision Trees for High-Dimensional Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
RandomBoost: Simplified Multi-class Boosting through Randomization
CoRR, 2013

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations.
CoRR, 2013

Evaluation of Wearable Sensor Tag Data Segmentation Approaches for Real Time Activity Classification in Elderly.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

Part-Based Visual Tracking with Online Latent Structural Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Inductive Hashing on Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Dimensionality reduction via compressive sensing.
Pattern Recognit. Lett., 2012

Is margin preserved after random projection?.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Tracking with Weighted Online Structured Learning.
Proceedings of the Computer Vision - ECCV 2012, 2012

Non-sparse linear representations for visual tracking with online reservoir metric learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models.
Int. J. Comput. Vis., 2011

Is face recognition really a Compressive Sensing problem?
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Real-time visual tracking using compressive sensing.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Real-time Visual Tracking Using Sparse Representation
CoRR, 2010

Conditional Random Fields and Support Vector Machines: A Hybrid Approach
CoRR, 2010

Rapid face recognition using hashing.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Hash Kernels for Structured Data.
J. Mach. Learn. Res., 2009

Hash Kernels.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Discriminative Maximum Margin Image Object Categorization with Exact Inference.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008
Discriminative human action segmentation and recognition using semi-Markov model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Semi-Markov Models for Sequence Segmentation.
Proceedings of the EMNLP-CoNLL 2007, 2007


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