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researcher

Ke-Jyun Wang

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedOCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2021

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…

cs.CL2021★ 2 cited

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…

cs.CL2021★ 1 cited

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…

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