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Jiun-Hao Jhan

2 accepted papers

2021

Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention

NAACL 2021long

Most chatbot literature that focuses on improving the fluency and coherence of a chatbot, is dedicated to making chatbots more human-like. However, very little work delves into what really separates humans from chatbots – humans intrinsically understand the effect their responses have on the interlo…

Cited by 7Source ↗PDF ↗Scholar ↗
2020

Face Feature Recovery via Temporal Fusion for Person Search

ICASSP 2020accepted

Searching actors from videos by a single portrait image is a challenging task, due to large variations of video scenes and intra-person appearance. To tackle this problem, most recent works apply deep neural networks for detecting and extracting robust facial features for matching. However, when the…

Cited by 0Source ↗Scholar ↗