most citedA Local-to-Global Approach to Multi-modal Movie Scene Segmentation

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20202 cited

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

Anyi Rao, Jiaze Wang, Linning Xu +4

Shots are key narrative elements of various videos, e.g. movies, TV series, and user-generated videos that are thriving over the Internet. The types of shots greatly influence how…

cs.CV2020

Online Multi-modal Person Search in Videos

Jiangyue Xia, Anyi Rao, Qingqiu Huang +3

The task of searching certain people in videos has seen increasing potential in real-world applications, such as video organization and editing. Most existing approaches are devise…

cs.CV2020

Learn to Propagate Reliably on Noisy Affinity Graphs

Lei Yang, Qingqiu Huang, Huaiyi Huang +2

Recent works have shown that exploiting unlabeled data through label propagation can substantially reduce the labeling cost, which has been a critical issue in developing visual re…

cs.CV20207 cited

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

Anyi Rao, Linning Xu, Yu Xiong +4

Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment. Identifying the composition of scenes…

stat.ML2019

A General Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM

Linning Xu, Feng Yin, Jiawei Zhang +2

Hyper-parameter optimization remains as the core issue of Gaussian process (GP) for machine learning nowadays. The benchmark method using maximum likelihood (ML) estimation and gra…