Zhanghui Kuang

Orcid: 0000-0002-9102-5152

According to our database1, Zhanghui Kuang authored at least 41 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

A Coarse-to-Fine Framework for Automatic Video Unscreen.
IEEE Trans. Multim., 2023

2022
GenDet: Meta Learning to Generate Detectors From Few Shots.
IEEE Trans. Neural Networks Learn. Syst., 2022

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection.
IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Reasoning Network for Human-Object Interaction Detection.
IEEE Trans. Image Process., 2021

Pseudo-mask Matters inWeakly-supervised Semantic Segmentation.
CoRR, 2021

Spatial Dual-Modality Graph Reasoning for Key Information Extraction.
CoRR, 2021

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Group Fisher Pruning for Practical Network Compression.
Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Impartial Multi-task Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Vision Transformer with Progressive Sampling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fourier Contour Embedding for Arbitrary-Shaped Text Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Context-Aware RCNN: A Baseline for Action Detection in Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning Efficient Detector with Semi-supervised Adaptive Distillation.
CoRR, 2019

Learning Local Similarity with Spatial Relations for Object Retrieval.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Geometry Normalization Networks for Accurate Scene Text Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Driven Neuron Allocation for Scale Aggregation Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Efficient Detector with Semi-supervised Adaptive Distillation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Extractive Video Summarizer with Memory Augmented Neural Networks.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting up Scene Text Detectors with Guided CNN.
Proceedings of the British Machine Vision Conference 2018, 2018

Fast Video Shot Transition Localization with Deep Structured Models.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

2016
Reflective Regression of 2D-3D Face Shape Across Large Pose.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations.
Int. J. Comput. Vis., 2015

Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Learning structural SVMs and its applications in computer vision.
PhD thesis, 2014

2013
Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Relatively-Paired Space Analysis.
Proceedings of the British Machine Vision Conference, 2013

2012
Markov Weight Fields for face sketch synthesis.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning image-specific parameters for interactive segmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Improved stochastic competitive Hopfield network for polygonal approximation.
Expert Syst. Appl., 2011

Accurate Foreground Segmentation without Pre-learning.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010
Local multiple orientations estimation using k-medoids.
Proceedings of the International Conference on Image Processing, 2010

2009
Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems.
Expert Syst. Appl., 2009

2008
A Chaotic Neural Network Combined Heuristic Strategy for Multidimensional Knapsack Problem.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008


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