activity
20192023
most citedData Augmentation for Object Detection via Progressive and Selective Instance-Switching

56 citations · 61 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20231 cited

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Shengming Yin, Chenfei Wu, Huan Yang +13

In this paper, we propose NUWA-XL, a novel Diffusion over Diffusion architecture for eXtremely Long video generation. Most current work generates long videos segment by segment seq…

cs.CV2023

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Xiaodong Wang, Chenfei Wu, Shengming Yin +9

3D photography renders a static image into a video with appealing 3D visual effects. Existing approaches typically first conduct monocular depth estimation, then render the input f…

cs.CV20231 cited

A Unified Multi-view Multi-person Tracking Framework

Fan Yang, Shigeyuki Odashima, Sosuke Yamao +3

Although there is a significant development in 3D Multi-view Multi-person Tracking (3D MM-Tracking), current 3D MM-Tracking frameworks are designed separately for footprint and pos…

cs.CV20223 cited

A Multi-Person Video Dataset Annotation Method of Spatio-Temporally Actions

Fan Yang

Spatio-temporal action detection is an important and challenging problem in video understanding. However, the application of the existing large-scale spatio-temporal action dataset…

cs.CV2019

A Hierarchical Mixture Density Network

Fan Yang, Jaymar Soriano, Takatomi Kubo +1

The relationship among three correlated variables could be very sophisticated, as a result, we may not be able to find their hidden causality and model their relationship explicitl…

cs.CV201956 cited

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Hao Wang, Qilong Wang, Fan Yang +2

Collection of massive well-annotated samples is effective in improving object detection performance but is extremely laborious and costly. Instead of data collection and annotation…