VideoCon: Robust Video-Language Alignment via Contrast Captions

15 November 2023

Papers citing "VideoCon: Robust Video-Language Alignment via Contrast Captions"

7 / 7 papers shown

Title
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Qinghao Ye Haiyang Xu Guohai Xu Jiabo Ye Ming Yan ... Junfeng Tian Qiang Qi Ji Zhang Feiyan Huang Jingren Zhou VLM MLLM 198 883 0 27 Apr 2023
Test of Time: Instilling Video-Language Models with a Sense of Time Piyush Bagad Makarand Tapaswi Cees G. M. Snoek 62 36 0 05 Jan 2023
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners Zhenhailong Wang Manling Li Ruochen Xu Luowei Zhou Jie Lei ... Chenguang Zhu Derek Hoiem Shih-Fu Chang Mohit Bansal Heng Ji MLLM VLM 159 134 0 22 May 2022
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 242 554 0 28 Sep 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 301 771 0 18 Apr 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 253 4,735 0 24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 2,875 0 11 Feb 2021