Bin Wang

Orcid: 0000-0002-9730-374X

Affiliations:
  • Nanjing University of Finance and Economics, Key Laboratory of Electronic Business, Nanjing, China
  • Griffith University, Nathan, QLD, Australia


According to our database1, Bin Wang authored at least 35 papers between 2012 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Separated Fan-Beam Projection with Gaussian Convolution for Invariant and Robust Butterfly Image Retrieval.
Pattern Recognit., March, 2024

CUDU-Net: Collaborative up-sampling decoder U-Net for leaf vein segmentation.
Digit. Signal Process., January, 2024

SDePR: Fine-Grained Leaf Image Retrieval with Structural Deep Patch Representation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multiscale Binary-Pattern Dependency: A Novel Co-Occurrence Texture Descriptor for Fine-Grained Leaf Image Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

LV-SEGFORMER: Towards More Accurate Leaf-Vein Segmentation with Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Classification Task Assisted Segmentation Network for Breast Tumor Segmentation in Ultrasound Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Local R-Symmetry Co-Occurrence: Characterising Leaf Image Patterns for Identifying Cultivars.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Symmetric Binary Tree Based Co-occurrence Texture Pattern Mining for Fine-grained Plant Leaf Image Retrieval.
Pattern Recognit., 2022

Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification.
Comput. Electron. Agric., 2022

StrokeNet: Harmonizing Stoke Domains Between Sketches and Natural Images for Sketch-based Image Retrieval.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Leaf Vocabulary: Fine-Grained Leaf Image Retrieval Using Bag-of-Visual-Words Representation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Pairwise Rotational-Difference LBP for Fine-Grained Leaf Image Retrieval.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Fine-Grained Plant Leaf Image Retrieval Using Local Angle Co-occurrence Histograms.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Deep learning techniques for automatic butterfly segmentation in ecological images.
Comput. Electron. Agric., 2020

Invariant leaf image recognition with histogram of Gaussian convolution vectors.
Comput. Electron. Agric., 2020

DE-Net: Dilated Encoder Network for Automated Tongue Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Gaussian Convolution Angles: Invariant Vein and Texture Descriptors for Butterfly Species Identification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Chord Bunch Walks for Recognizing Naturally Self-Overlapped and Compound Leaves.
IEEE Trans. Image Process., 2019

From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images.
CoRR, 2019

2018
Material based salient object detection from hyperspectral images.
Pattern Recognit., 2018

2017
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Structure Integral Transform Versus Radon Transform: A 2D Mathematical Tool for Invariant Shape Recognition.
IEEE Trans. Image Process., 2016

Similarity based leaf image retrieval using multiscale R-angle description.
Inf. Sci., 2016

A Local Scale Selection Scheme for Multiscale Area Integral Invariants.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Affine Invariant Point-Set Matching Using Convex Hull Bisection.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
MARCH: Multiscale-arch-height description for mobile retrieval of leaf images.
Inf. Sci., 2015

Multi-scale bisector integrals: An invariant descriptor for accurate shape retrieval.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Hierarchical String Cuts: A Translation, Rotation, Scale, and Mirror Invariant Descriptor for Fast Shape Retrieval.
IEEE Trans. Image Process., 2014

Polygonal approximation using integer particle swarm optimization.
Inf. Sci., 2014

2013
Mobile plant leaf identification using smart-phones.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Fast and Effective Retrieval of Plant Leaf Shapes.
Proceedings of the Computer Vision, 2012


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