15 citations · 18 across the 3 of their papers we have counts for
6 papers
Learning to Track Instances without Video Annotations
Yang Fu, Sifei Liu, Umar Iqbal +3
Tracking segmentation masks of multiple instances has been intensively studied, but still faces two fundamental challenges: 1) the requirement of large-scale, frame-wise annotation…
Clique: Spatiotemporal Object Re-identification at the City Scale
Tiantu Xu, Kaiwen Shen, Yang Fu +2
Object re-identification (ReID) is a key application of city-scale cameras. While classic ReID tasks are often considered as image retrieval, we treat them as spatiotemporal querie…
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Yang Fu, Linjie Yang, Ding Liu +2
Video instance segmentation is a complex task in which we need to detect, segment, and track each object for any given video. Previous approaches only utilize single-frame features…
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
Yang Fu, Xiaoyang Wang, Yunchao Wei +1
In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the large-scale person re-identification task in videos. Different from the most existing metho…
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
Yang Fu, Yunchao Wei, Guanshuo Wang +3
Domain adaptation in person re-identification (re-ID) has always been a challenging task. In this work, we explore how to harness the natural similar characteristics existing in th…
Horizontal Pyramid Matching for Person Re-identification
Yang Fu, Yunchao Wei, Yuqian Zhou +5
Despite the remarkable recent progress, person re-identification (Re-ID) approaches are still suffering from the failure cases where the discriminative body parts are missing. To m…