Topic: video-language Goto Github
Some thing interesting about video-language
Some thing interesting about video-language
video-language,A Video Chat Agent with Temporal Prior
Organization: bigai-nlco
video-language,A new multi-shot video understanding benchmark Shot2Story with comprehensive video summaries and detailed shot-level captions.
Organization: bytedance
Home Page: https://mingfei.info/shot2story
video-language,A repository of Video Language papers, code and datasets.
User: jena-shreyas
video-language,Code for CVPR 2023 paper "SViTT: Temporal Learning of Sparse Video-Text Transformers"
User: jerryyli
Home Page: https://arxiv.org/abs/2304.08809
video-language,The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and self-supervised learning models. Additionally, it also collects many useful tutorials and tools in these related domains.
User: junchen14
video-language,A Survey on video and language understanding.
User: liveseongho
video-language,The official GitHub page for the survey paper "Self-Supervised learning for Videos: A survey"
User: maddy12
Home Page: https://dl.acm.org/doi/abs/10.1145/3577925
video-language,VLG: General Video Recognition with Web Textual Knowledge (https://arxiv.org/abs/2212.01638)
Organization: mcg-nju
video-language,An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"
Organization: microsoft
Home Page: https://arxiv.org/abs/2002.06353
video-language,Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
User: mikewangwzhl
video-language,Pressure Testing Large Video-Language Models (LVLM): Doing multimodal retrieval from LVLM at any video lengths to measure accuracy
User: patrick-tssn
video-language,Align and Prompt: Video-and-Language Pre-training with Entity Prompts
Organization: salesforce
video-language,a multi-modal video caption dataset with richer annotation
User: sczwangxiao
video-language,ACM Multimedia 2023 (Oral) - RTQ: Rethinking Video-language Understanding Based on Image-text Model
User: sczwangxiao
video-language,[CVPR2023] All in One: Exploring Unified Video-Language Pre-training
Organization: showlab
Home Page: https://arxiv.org/abs/2203.07303
video-language,[NeurIPS2022] Egocentric Video-Language Pretraining
Organization: showlab
Home Page: https://arxiv.org/pdf/2206.01670.pdf
video-language,The Pytorch implementation for "Video-Text Pre-training with Learned Regions"
Organization: showlab
video-language,[ICCV2023] UniVTG: Towards Unified Video-Language Temporal Grounding
Organization: showlab
Home Page: https://arxiv.org/abs/2307.16715
video-language,official repo of "VideoGUI: A Benchmark for GUI Automation from Instructional Videos"
Organization: showlab
Home Page: https://showlab.github.io/videogui/
video-language,Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain.
Organization: showlab
video-language,An end-to-end masked contrastive video-and-language pre-training framework
User: shufangxun
video-language,[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)
User: theshadow29
Home Page: https://vidsitu.org/
video-language,[ICCV 2023] The official PyTorch implementation of the paper: "Localizing Moments in Long Video Via Multimodal Guidance"
User: waybarrios
Home Page: https://arxiv.org/abs/2302.13372
video-language,A curated list of video-text datasets in a variety of languages. These datasets can be used for video captioning (video description) or video retrieval.
User: willyfh
video-language,[CVPR2022] Official Implementation of ReferFormer
User: wjn922
video-language,Pytorch version of DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization (NAACL 2021)
User: zinengtang
video-language,PyTorch code for "Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention" (WACV 2023)
User: zinengtang
video-language,Official implementation for paper Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
User: zjr2000
Home Page: https://arxiv.org/abs/2303.06378
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