37 citations · 60 across the 4 of their papers we have counts for
5 papers
Learning Global Structure Consistency for Robust Object Tracking
Bi Li, Chengquan Zhang, Zhibin Hong +5
Fast appearance variations and the distractions of similar objects are two of the most challenging problems in visual object tracking. Unlike many existing trackers that focus on m…
HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces
Yang Liu, Xu Tang, Xiang Wu +3
Current face detectors utilize anchors to frame a multi-task learning problem which combines classification and bounding box regression. Effective anchor design and anchor matching…
DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors
Shuai Chen, Jinpeng Li, Chuanqi Yao +4
Traditional neural objection detection methods use multi-scale features that allow multiple detectors to perform detecting tasks independently and in parallel. At the same time, wi…
PyramidBox++: High Performance Detector for Finding Tiny Face
Zhihang Li, Xu Tang, Junyu Han +2
With the rapid development of deep convolutional neural network, face detection has made great progress in recent years. WIDER FACE dataset, as a main benchmark, contributes greatl…
PyramidBox: A Context-assisted Single Shot Face Detector
Xu Tang, Daniel K. Du, Zeqiang He +1
Face detection has been well studied for many years and one of remaining challenges is to detect small, blurred and partially occluded faces in uncontrolled environment. This paper…