Shih-Han Chou

According to our database, Shih-Han Chou authored at least 13 papers between 2017 and 2025.

Collaborative distances:

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

2025

Test-Time Consistency in Vision Language Models.

Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal

CoRR, June, 2025

MM-R³: On (In-)Consistency of Vision-Language Models (VLMs).

Shih-Han Chou, Shivam Chandhok, Jim Little, Leonid Sigal

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Implicit and explicit commonsense for multi-sentence video captioning.

Shih-Han Chou, James J. Little, Leonid Sigal

Comput. Vis. Image Underst., 2024

MM-R³: On (In-)Consistency of Multi-modal Large Language Models (MLLMs).

Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal

CoRR, 2024

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews).

Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Koçak, Leonid Sigal, Yalda Mohsenzadeh

CoRR, 2024

Multimodal Classification of Alzheimer's Disease by Combining Facial and Eye-Tracking Data.

Shih-Han Chou, Miini Teng, Harshinee Sriram, Chuyuan Li, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field, Hyeju Jang, Gabriel Murray

Proceedings of the Machine Learning for Health, 2024

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews).

Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang

Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024

2022

Semi-supervised Grounding Alignment for Multi-modal Feature Learning.

Shih-Han Chou, Zicong Fan, James J. Little, Leonid Sigal

Proceedings of the 19th Conference on Robots and Vision, 2022

2021

An Improved Attention for Visual Question Answering.

Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images.

Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan Ting Hsu, Min Sun, Jianlong Fu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Visual Question Answering on 360° Images.

Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2018

Self-View Grounding Given a Narrated 360° Video.

Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization.

Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan, Juan Carlos Niebles, Min Sun

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017