18 citations · 46 across the 8 of their papers we have counts for
4 papers · 1 filter
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification
Peng Jiang, Juan Liu, Lang Wang +3
Labeling medical images depends on professional knowledge, making it difficult to acquire large amount of annotated medical images with high quality in a short time. Thus, making g…
Contrastive Learning of Features between Images and LiDAR
Peng Jiang, Srikanth Saripalli
Image and Point Clouds provide different information for robots. Finding the correspondences between data from different sensors is crucial for various tasks such as localization,…
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey +7
Here we present a structural similarity index measure (SSIM) guided conditional Generative Adversarial Network (cGAN) that generatively performs image-to-image (i2i) synthesis to g…
Deep Learning based Intelligent Coin-tap Test for Defect Recognition
Hongyu Li, Peng Jiang, Tiejun Wang
The coin-tap test is a convenient and primary method for non-destructive testing, while its manual on-site operation is tough and costly. With the help of the latest intelligent si…