62 citations · 84 across the 2 of their papers we have counts for
6 papers
Self-Supervised Multi-Object Tracking with Path Consistency
Zijia Lu, Bing Shuai, Yanbei Chen +2
In this paper, we propose a novel concept of path consistency to learn robust object matching without using manual object identity supervision. Our key idea is that, to track a obj…
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
Haodong Duan, Mingze Xu, Bing Shuai +4
We present SkeleTR, a new framework for skeleton-based action recognition. In contrast to prior work, which focuses mainly on controlled environments, we target more general scenar…
Object-Centric Multiple Object Tracking
Zixu Zhao, Jiaze Wang, Max Horn +13
Unsupervised object-centric learning methods allow the partitioning of scenes into entities without additional localization information and are excellent candidates for reducing th…
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee +5
Previous research has studied the task of segmenting cinematic videos into scenes and into narrative acts. However, these studies have overlooked the essential task of multimodal a…
Improving Fully Convolution Network for Semantic Segmentation
Bing Shuai, Ting Liu, Gang Wang
Fully Convolution Networks (FCN) have achieved great success in dense prediction tasks including semantic segmentation. In this paper, we start from discussing FCN by understanding…
A Siamese Long Short-Term Memory Architecture for Human Re-Identification
Rahul Rama Varior, Bing Shuai, Jiwen Lu +2
Matching pedestrians across multiple camera views known as human re-identification (re-identification) is a challenging problem in visual surveillance. In the existing works concen…