3 citations · 7 across the 5 of their papers we have counts for
5 papers
End-to-end Multi-Instance Robotic Reaching from Monocular Vision
Zheyu Zhuang, Xin Yu, Robert Mahony
Multi-instance scenes are especially challenging for end-to-end visuomotor (image-to-control) learning algorithms. "Pipeline" visual servo control algorithms use separate detection…
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
MD Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang +11
Retinal vessel segmentation is generally grounded in image-based datasets collected with bench-top devices. The static images naturally lose the dynamic characteristics of retina f…
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo, Zhuoxiao Chen, Zijian Wang +3
To alleviate the high annotation cost in LiDAR-based 3D object detection, active learning is a promising solution that learns to select only a small portion of unlabeled data to an…
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph
Xin Yu, Jeroen van Baar, Siheng Chen
The ability to estimate the 3D human shape and pose from images can be useful in many contexts. Recent approaches have explored using graph convolutional networks and achieved prom…
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation
Ho Hin Lee, Yucheng Tang, Qi Yang +6
Medical image segmentation, or computing voxelwise semantic masks, is a fundamental yet challenging task to compute a voxel-level semantic mask. To increase the ability of encoder-…