Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

16 June 2023

Papers citing "Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos"

8 / 8 papers shown

Title
Vision-based 3D Semantic Scene Completion via Capture Dynamic Representations Meng Wang Fan Wu Yunchuan Qin Ruihui Li Zhuo Tang KenLi Li 3DPC 99 0 0 08 Mar 2025
When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis Ruixuan Zhang Beichen Wang Juexiao Zhang Zilin Bian Chen Feng K. Ozbay 45 3 0 17 Jan 2025
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding Hu Xu Gargi Ghosh Po-Yao (Bernie) Huang Dmytro Okhonko Armen Aghajanyan Florian Metze Luke Zettlemoyer Florian Metze Luke Zettlemoyer Christoph Feichtenhofer CLIP VLM 259 558 0 28 Sep 2021
ActionCLIP: A New Paradigm for Video Action Recognition Mengmeng Wang Jiazheng Xing Yong Liu VLM 152 362 0 17 Sep 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 283 1,984 0 09 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation Jaemin Cho Jie Lei Hao Tan Joey Tianyi Zhou MLLM 274 525 0 04 Feb 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016