46 citations · 145 across the 15 of their papers we have counts for
11 papers · 2 filters
Learning Semantic Neural Tree for Human Parsing
Ruyi Ji, Dawei Du, Libo Zhang +5
The majority of existing human parsing methods formulate the task as semantic segmentation, which regard each semantic category equally and fail to exploit the intrinsic physiologi…
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
Longyin Wen, Dawei Du, Pengfei Zhu +4
This paper proposes a space-time multi-scale attention network (STANet) to solve density map estimation, localization and tracking in dense crowds of video clips captured by drones…
Fast Portrait Segmentation with Highly Light-weight Network
Yuezun Li, Ao Luo, Siwei Lyu
In this paper, we describe a fast and light-weight portrait segmentation method based on a new highly light-weight backbone (HLB) architecture. The core element of HLB is a bottlen…
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai, Dawei Du, Libo Zhang +4
Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background. In this paper, we propose a new G…
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Yuezun Li, Xin Yang, Baoyuan Wu +1
Recent years have seen fast development in synthesizing realistic human faces using AI technologies. Such fake faces can be weaponized to cause negative personal and social impact.…
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Dan Liu, Dawei Du, Libo Zhang +4
Existing hand detection methods usually follow the pipeline of multiple stages with high computation cost, i.e., feature extraction, region proposal, bounding box regression, and a…