139 citations · 934 across the 48 of their papers we have counts for
4 papers · 1 filter
Impression Network for Video Object Detection
Congrui Hetang, Hongwei Qin, Shaohui Liu +1
Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccura…
Peephole: Predicting Network Performance Before Training
Boyang Deng, Junjie Yan, Dahua Lin
The quest for performant networks has been a significant force that drives the advancements of deep learning in recent years. While rewarding, improving network design has never be…
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Xihui Liu, Haiyu Zhao, Maoqing Tian +5
Pedestrian analysis plays a vital role in intelligent video surveillance and is a key component for security-centric computer vision systems. Despite that the convolutional neural…
Scale-Aware Face Detection
Zekun Hao, Yu Liu, Hongwei Qin +3
Convolutional neural network (CNN) based face detectors are inefficient in handling faces of diverse scales. They rely on either fitting a large single model to faces across a larg…