Jia-Hong Huang

According to our database, Jia-Hong Huang authored at least 25 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Conditional Modeling Based Automatic Video Summarization.

Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring

CoRR, 2023

Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions.

Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring

CoRR, 2023

Expert-defined Keywords Improve Interpretability of Retinal Image Captioning.

Ting-Wei Wu, Jia-Hong Huang, Joseph Lin, Marcel Worring

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Query-Based Video Summarization with Pseudo Label Supervision.

Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring

Proceedings of the IEEE International Conference on Image Processing, 2023

Causalainer: Causal Explainer for Automatic Video Summarization.

Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Non-local Attention Improves Description Generation for Retinal Images.

Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Causal Video Summarizer for Video Exploration.

Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

The Dawn of Quantum Natural Language Processing.

Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning".

Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring

CoRR, 2021

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.

Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Contextualized Keyword Representations for Multi-modal Retinal Image Captioning.

Jia-Hong Huang, Ting-Wei Wu, Marcel Worring

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization.

Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Deep Context-Encoding Network For Retinal Image Captioning.

Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Query-controllable Video Summarization.

Jia-Hong Huang, Marcel Worring

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

2019

Assessing the Robustness of Visual Question Answering.

Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring

CoRR, 2019

SILCO: Show a Few Images, Localize the Common Object.

Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees Snoek

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Novel Framework for Robustness Analysis of Visual QA Models.

Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.

Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér

CoRR, 2018

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases.

Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér

CoRR, 2018

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.

Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Synthesizing New Retinal Symptom Images by Multiple Generative Models.

Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

Robustness Analysis of Visual QA Models by Basic Questions.

Jia-Hong Huang, Modar Alfadly, Bernard Ghanem

CoRR, 2017

VQABQ: Visual Question Answering by Basic Questions.

Jia-Hong Huang, Modar Alfadly, Bernard Ghanem

CoRR, 2017

2013

An Adaptive Receiver Design for OFDM Systems Using Conjugate Transmission.

Chin-Liang Wang, Po-Chung Shen, Ying-Chang Lin, Jia-Hong Huang

IEEE Trans. Commun., 2013

2011

An Improved Adaptive Receiver for OFDM Systems Using Conjugate Transmission.

Chin-Liang Wang, Po-Chung Shen, Jia-Hong Huang

Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011