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

PIE: Simulating Disease Progression via Progressive Image Editing

1 code implementation • 21 Sep 2023 • Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun

Disease progression simulation is a crucial area of research that has significant implications for clinical diagnosis, prognosis, and treatment.

ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis

1 code implementation • 30 Oct 2022 • Xu Cao, Wenqian Ye, Elena Sizikova, Xue Bai, Megan Coffee, Hongwu Zeng, Jianguo Cao

Research progress in the field of ASD facial analysis in pediatric patients has been hindered due to a lack of well-established baselines.

AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation

1 code implementation • 11 May 2022 • Xu Cao, Xiaoye Li, Liya Ma, Yi Huang, Xuan Feng, Zening Chen, Hongwu Zeng, Jianguo Cao

We show that AggPose outperforms hybrid model HRFormer and TokenPose in the infant pose estimation dataset.

Keypoint Detection