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MovieNet Projects #2

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Introducing NeuoLink’s MovieNet, a deep-learning framework utilizing 1.1K Movies, 60K trailers, 375K meta etc., all freely available at MovieNet. MovieNet is a holistic dataset for movie understanding with various annotations of actors, scene and cinematic styles provided.

MovieNet Projects

Holistic Movie Understanding Dataset

MovieNet: A Holistic Dataset for Movie Understanding

Qingqiu Huang*, Yu Xiong*, Anyi Rao, Jiaze Wang, Dahua Lin

European Conference on Computer Vision (ECCV), 2020 (Spotlight)

Paper Project Page Code Copy BibTeX to Clipboard

Movie Cinematic Style Analysis

A Unified Framework for Shot Type Classification Based on Subject Centric Lens

Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin

European Conference on Computer Vision (ECCV), 2020

Paper Project Page Code Copy BibTeX to Clipboard

Unsupervised Face Recognition

Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation

Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin

European Conference on Computer Vision (ECCV), 2020

Paper Project Page Code Copy BibTeX to Clipboard

Online Person Search

Online Multi-modal Person Search in Videos

Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin

European Conference on Computer Vision (ECCV), 2020

Paper Project Page Code Copy BibTeX to Clipboard

Movie Scene Temporal Segmentation

A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin

Computer Vision and Pattern Recognition (CVPR), 2020

Also appear at LUV 2020 Workshop (15-min talk) and Sight and Sound 2020 Workshop (5-min talk)

Paper Project Page Code Copy BibTeX to Clipboard

Movie Synopsis Association

A Graph-based Framework to Bridge Movies and Synopses

Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin

International Conference in Computer Vision (ICCV), 2019 (Oral)

Paper Project Page Code Copy BibTeX to Clipboard

Person Search

Person Search in Videos with One Portrait Through Visual and Temporal Links

Qingqiu Huang, Wentao Liu, Dahua Lin

European Conference on Computer Vision (ECCV), 2018

Paper Project Page Code Copy BibTeX to Clipboard

Person Recognition

Unifying Identification and Context Learning for Person Recognition

Qingqiu Huang, Yu Xiong, Dahua Lin

Computer Vision and Pattern Recognition (CVPR), 2018

Paper Project Page Copy BibTeX to Clipboard

Trailer Analysis

From Trailers to Storylines: An Efficient Way to Learn from Movies

Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin

Arxiv:1806.05341, 2018

Paper Copy BibTeX to Clipboard

Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive.

Adam Peterson

The development of neural networks is a specialized task that requires expertise and experience. Our team of skilled professionals excels in designing and implementing neural network architectures tailored to your specific business needs. From traditional feedforward networks to advanced convolutional and recurrent networks, we have the knowledge and skills to build models that deliver superior performance and accuracy.

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