Jia-Hong Huang

According to our database, Jia-Hong Huang authored at least 36 papers between 2011 and 2024.

Collaborative distances:

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

2024

Personalized Video Summarization using Text-Based Queries and Conditional Modeling.

Jia-Hong Huang

CoRR, 2024

A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation.

Weijia Zhang, Mohammad Aliannejadi, Jiahuan Pei, Yifei Yuan, Jia-Hong Huang, Evangelos Kanoulas

CoRR, 2024

Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models.

Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas

CoRR, 2024

Automated Retinal Image Analysis and Medical Report Generation through Deep Learning.

Jia-Hong Huang

CoRR, 2024

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks.

Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring

CoRR, 2024

Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models.

Hongyi Zhu, Jia-Hong Huang, Stevan Rudinac, Evangelos Kanoulas

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Multi-modal Video Summarization.

Jia-Hong Huang

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

A Novel Evaluation Framework for Image2Text Generation.

Jia-Hong Huang, Hongyi Zhu, Yixian Shen, Stevan Rudinac, Alessio M. Pacces, Evangelos Kanoulas

Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), 2024

Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics.

Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas

Proceedings of the 17th International Natural Language Generation Conference, 2024

QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs.

Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models.

Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, Evangelos Kanoulas

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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