Qinfeng Shi
27 papers · 2005–2019 · 7 venues · across top CS/AI venues
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Achievements
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(13)
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Keyword Champion
(3)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(122)
Top co-authors
Research topics
Machine Learning
(18)
Core Methods
(12)
Deep Learning
(10)
Computer Vision
(9)
Mathematics & Optimization
(8)
Optimization
(8)
Optimization & Theory Β· Machine Learning
(8)
Bayesian & Probabilistic
(5)
Learning Types
(5)
Artificial Intelligence
(4)
Analysis
(4)
Core AI
(4)
Optimization & Theory Β· Deep Learning
(4)
Processing
(4)
Computer Science
(2)
Keywords
graphical model
(3)
bayesian inference
(3)
human activity recognition
(3)
belief propagation
(2)
latent variable
(2)
feature matching
(2)
manifold learning
(2)
bipartite matching
(2)
markov random field
(2)
binary code
(2)
bayesian model
(2)
map inference
(2)
compressive sensing
(1)
motion deblurring
(1)
semantic segmentation
(1)
convex optimization
(1)
image classification
(1)
riemannian optimization
(1)
image restoration
(1)
uncertainty quantification
(1)
Papers
A Generative Adversarial Density Estimator
CVPR 2019
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
CVPR 2019
New Convex Relaxations for MRF Inference With Unknown Graphs
ICCV 2019
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
CVPR 2019
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
IJCAI 2019
Variational Bayesian Dropout With a Hierarchical Prior
CVPR 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions
CVPR 2019
Deblurring Natural Image Using Super-Gaussian Fields
ECCV 2018
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal
ECCV 2018
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching
IJCAI 2017
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
CVPR 2017
Self-Paced Kernel Estimation for Robust Blind Image Deblurring
ICCV 2017
Blind Image Deconvolution by Automatic Gradient Activation
CVPR 2016
Joint Probabilistic Matching Using m-Best Solutions
CVPR 2016
Pairwise Matching Through Max-Weight Bipartite Belief Propagation
CVPR 2016
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization
CVPR 2016
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior
ICCV 2015
Joint Probabilistic Data Association Revisited
ICCV 2015
Learning Graph Structure for Multi-Label Image Classification via Clique Generation
CVPR 2015
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search
IJCAI 2015
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
CVPR 2014
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs
CVPR 2013
Inductive Hashing on Manifolds
CVPR 2013
Part-Based Visual Tracking with Online Latent Structural Learning
CVPR 2013
Hash Kernels for Structured Data
JMLR 2009
Semi-Markov Models for Sequence Segmentation
EMNLP 2007
Hash Kernels
AISTATS 2005