A Survey on Multimodal Large Language Models for Autonomous Driving

1 code implementation • 21 Nov 2023 • Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng

We first introduce the background of Multimodal Large Language Models (MLLMs), the multimodal models development using LLMs, and the history of autonomous driving.

Autonomous Driving

System Fingerprint Recognition for Deepfake Audio: An Initial Dataset and Investigation

no code implementations • 21 Aug 2022 • Xinrui Yan, Jiangyan Yi, Chenglong Wang, JianHua Tao, Junzuo Zhou, Hao Gu, Ruibo Fu

The rapid progress of deep speech synthesis models has posed significant threats to society such as malicious content manipulation.

Face Swapping Speech Synthesis

An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio

no code implementations • 20 Aug 2022 • Xinrui Yan, Jiangyan Yi, JianHua Tao, Chenglong Wang, Haoxin Ma, Tao Wang, Shiming Wang, Ruibo Fu

Many effective attempts have been made for fake audio detection.

ADD 2022: the First Audio Deep Synthesis Detection Challenge

no code implementations • 17 Feb 2022 • Jiangyan Yi, Ruibo Fu, JianHua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li, Zheng Lian, Bin Liu

Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.

Audio Generation DeepFake Detection +1