15 citations · 31 across the 6 of their papers we have counts for
6 papers
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking
Pan Wang, Liangliang Ren, Shengkai Wu +4
The point cloud based 3D single object tracking has drawn increasing attention. Although many breakthroughs have been achieved, we also reveal two severe issues. By extensive analy…
Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacement
Lijun Gou, Shengkai Wu, Jinrong Yang +4
One major impediment in rapidly deploying object detection models for industrial applications is the lack of large annotated datasets. We currently have presented the Sacked Carton…
Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
Shengkai Wu, Jinrong Yang, Hangcheng Yu +2
For most of the anchor-based detectors, Intersection over Union(IoU) is widely utilized to assign targets for the anchors during training. However, IoU pays insufficient attention…
SCD: A Stacked Carton Dataset for Detection and Segmentation
Jinrong Yang, Shengkai Wu, Lijun Gou +5
Carton detection is an important technique in the automatic logistics system and can be applied to many applications such as the stacking and unstacking of cartons, the unloading o…
IoU-aware Single-stage Object Detector for Accurate Localization
Shengkai Wu, Xiaoping Li, Xinggang Wang
Due to the simpleness and high efficiency, single-stage object detectors have been widely applied in many computer vision applications . However, the low correlation between the cl…
IoU-balanced Loss Functions for Single-stage Object Detection
Shengkai Wu, Jinrong Yang, Xinggang Wang +1
Single-stage object detectors have been widely applied in computer vision applications due to their high efficiency. However, we find that the loss functions adopted by single-stag…