26 citations · 29 across the 6 of their papers we have counts for
6 papers
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR
Zhenyang Li, Yangyang Guo, Kejie Wang +3
Visual Commonsense Reasoning (VCR) calls for explanatory reasoning behind question answering over visual scenes. To achieve this goal, a model is required to provide an acceptable…
Learning to Agree on Vision Attention for Visual Commonsense Reasoning
Zhenyang Li, Yangyang Guo, Kejie Wang +3
Visual Commonsense Reasoning (VCR) remains a significant yet challenging research problem in the realm of visual reasoning. A VCR model generally aims at answering a textual questi…
Joint Answering and Explanation for Visual Commonsense Reasoning
Zhenyang Li, Yangyang Guo, Kejie Wang +3
Visual Commonsense Reasoning (VCR), deemed as one challenging extension of the Visual Question Answering (VQA), endeavors to pursue a more high-level visual comprehension. It is co…
TrUMAn: Trope Understanding in Movies and Animations
Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai +3
Understanding and comprehending video content is crucial for many real-world applications such as search and recommendation systems. While recent progress of deep learning has boos…
OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su +4
To effectively apply robots in working environments and assist humans, it is essential to develop and evaluate how visual grounding (VG) can affect machine performance on occluded…
Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang, Hung-Ting Su, Jui-heng Hsu +7
The human ability of deep cognitive skills are crucial for the development of various real-world applications that process diverse and abundant user generated input. While recent p…