Search Results for author: Ke-Jyun Wang

Found 3 papers, 2 papers with code

TrUMAn: Trope Understanding in Movies and Animations

no code implementations10 Aug 2021 Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu

By coping with the trope understanding task and enabling the deep cognition skills of machines, data mining applications and algorithms could be taken to the next level.

Recommendation Systems

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

1 code implementation NAACL 2021 Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su, Jen-Wei Wang, Yu-Siang Wang, Winston H. Hsu, Wen-Chin Chen

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 objects.

Referring Expression Referring Expression Segmentation +1

Situation and Behavior Understanding by Trope Detection on Films

1 code implementation19 Jan 2021 Chen-Hsi Chang, Hung-Ting Su, Jui-heng Hsu, Yu-Siang Wang, Yu-Cheng Chang, Zhe Yu Liu, Ya-Liang Chang, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu

Experimental result demonstrates that modern models including BERT contextual embedding, movie tag prediction systems, and relational networks, perform at most 37% of human performance (23. 97/64. 87) in terms of F1 score.

Reading Comprehension Sentence +1

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