Dong-Jin Kim

Orcid: 0000-0001-7231-7494

Affiliations:
  • KAIST, Department of Electrical Engineering, Daejeon, Korea


According to our database1, Dong-Jin Kim authored at least 24 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Empirical study on using adapters for debiased Visual Question Answering.
Comput. Vis. Image Underst., December, 2023

MCDAL: Maximum Classifier Discrepancy for Active Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Local pseudo-attributes for long-tailed recognition.
Pattern Recognit. Lett., August, 2023

Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition.
IEEE Signal Process. Lett., 2023

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning.
CoRR, 2023

Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data.
CoRR, 2023

Counterfactual Mix-Up for Visual Question Answering.
IEEE Access, 2023

Self-Sufficient Framework for Continuous Sign Language Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generative Bias for Robust Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dense Relational Image Captioning via Multi-Task Triple-Stream Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generative Bias for Visual Question Answering.
CoRR, 2022

DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
ACP++: Action Co-Occurrence Priors for Human-Object Interaction Detection.
IEEE Trans. Image Process., 2021

Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.
CoRR, 2021

LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dealing With Missing Modalities in the Visual Question Answer-Difference Prediction Task Through Knowledge Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Single-Modal Entropy based Active Learning for Visual Question Answering.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Detecting Human-Object Interactions with Action Co-occurrence Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2016
Sentence learning on deep convolutional networks for image Caption Generation.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

2015
Relative attributes with deep Convolutional Neural Network.
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015


  Loading...