Dongliang Chang

Orcid: 0000-0002-4081-3001

According to our database1, Dongliang Chang authored at least 49 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Semi-Supervised Learning for FGVC With Out-of-Category Data.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

CreativeSeg: Semantic Segmentation of Creative Sketches.
IEEE Trans. Image Process., 2024

2023
Making a Bird AI Expert Work for You and Me.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

DemoFusion: Democratising High-Resolution Image Generation With No $$$.
CoRR, 2023

Bilinear Adversarial Network for Fine-Grained Domain Adaptation.
Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Multi-View Active Fine-Grained Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On-the-Fly Category Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

An Erudite Fine-Grained Visual Classification Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-View Active Fine-Grained Recognition.
CoRR, 2022

Domain Generalization via Frequency-based Feature Disentanglement and Interaction.
CoRR, 2022

Cross-Layer Feature based Multi-Granularity Visual Classification.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Multi-modal Human-machine Conversation System for Real Physical World.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Complex Scenario-Oriented Fine-Grained Visual Classification Platform.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification.
IEEE Trans. Image Process., 2021

Competing ratio loss for discriminative multi-class image classification.
Neurocomputing, 2021

Deep InterBoost networks for small-sample image classification.
Neurocomputing, 2021

Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data.
CoRR, 2021

Making a Bird AI Expert Work for You and Me.
CoRR, 2021

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features.
CoRR, 2021

Progressive Co-Attention Network for Fine-Grained Visual Classification.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Knowledge Transfer Based Fine-Grained Visual Classification.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Your "Flamingo" is My "Bird": Fine-Grained, or Not.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer.
IEEE Trans. Image Process., 2020

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification.
IEEE Trans. Image Process., 2020

Your "Labrador" is My "Dog": Fine-Grained, or Not.
CoRR, 2020

Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology.
CoRR, 2020

Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation.
CoRR, 2020

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification.
CoRR, 2020

Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

CC-Loss: Channel Correlation Loss for Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

IU-Module: Intersection and Union Module for Fine-Grained Visual Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs.
IEEE Trans. Veh. Technol., 2019

Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification.
IEEE Trans. Veh. Technol., 2019

Channel Max Pooling Layer for Fine-Grained Vehicle Classification.
CoRR, 2019

Large-Margin Regularized Softmax Cross-Entropy Loss.
IEEE Access, 2019

FICAL: Focal Inter-Class Angular Loss for Image Classification.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Channel Max Pooling for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

Small-Sample Image Classification Method of Combining Prototype and Margin Learning.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Dynamic Attention Loss for Small-Sample Image Classification.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
SSE: A New Selective Initialization Strategy for Snapshot Ensembling.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018


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