Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Guo, Xiaobao"'
Autor:
Guo, Xiaobao, Yu, Zitong, Selvaraj, Nithish Muthuchamy, Shen, Bingquan, Kong, Adams Wai-Kin, Kot, Alex C.
Automated deception detection is crucial for assisting humans in accurately assessing truthfulness and identifying deceptive behavior. Conventional contact-based techniques, like polygraph devices, rely on physiological signals to determine the authe
Externí odkaz:
http://arxiv.org/abs/2405.06995
Concept Bottleneck Models (CBM) map images to human-interpretable concepts before making class predictions. Recent approaches automate CBM construction by prompting Large Language Models (LLMs) to generate text concepts and employing Vision Language
Externí odkaz:
http://arxiv.org/abs/2405.01825
Autor:
Zhao, Ruochen, Chen, Hailin, Wang, Weishi, Jiao, Fangkai, Do, Xuan Long, Qin, Chengwei, Ding, Bosheng, Guo, Xiaobao, Li, Minzhi, Li, Xingxuan, Joty, Shafiq
As Large Language Models (LLMs) become popular, there emerged an important trend of using multimodality to augment the LLMs' generation ability, which enables LLMs to better interact with the world. However, there lacks a unified perception of at whi
Externí odkaz:
http://arxiv.org/abs/2303.10868
Autor:
Guo, Xiaobao, Selvaraj, Nithish Muthuchamy, Yu, Zitong, Kong, Adams Wai-Kin, Shen, Bingquan, Kot, Alex
Deception detection in conversations is a challenging yet important task, having pivotal applications in many fields such as credibility assessment in business, multimedia anti-frauds, and custom security. Despite this, deception detection research i
Externí odkaz:
http://arxiv.org/abs/2303.12745
Continual learning involves training neural networks incrementally for new tasks while retaining the knowledge of previous tasks. However, efficiently fine-tuning the model for sequential tasks with minimal computational resources remains a challenge
Externí odkaz:
http://arxiv.org/abs/2302.14314
Autor:
Li, Zhaoxu, Yu, Zitong, Selvaraj, Nithish Muthuchamy, Guo, Xiaobao, Shen, Bingquan, Kong, Adams Wai-Kin, Kot, Alex
Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud. Recently, audio-visual deception detection attracts more attention due to its better performance than using only a single modality. Howe
Externí odkaz:
http://arxiv.org/abs/2302.05727
Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the character of a clothing image (e.g. texture, logo, embroidery) when warpi
Externí odkaz:
http://arxiv.org/abs/2003.05863
Publikováno v:
In Biomedical Signal Processing and Control August 2019 53
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.