131 citations · 159 across the 8 of their papers we have counts for
8 papers
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves
Arvin Tashakori, Zenan Jiang, Amir Servati +8
Accurate real-time tracking of dexterous hand movements and interactions has numerous applications in human-computer interaction, metaverse, robotics, and tele-health. Capturing re…
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the 7-Point Checklist
Yuheng Wang, Tianze Yu, Jiayue Cai +4
The 7-point checklist (7PCL) is a widely used diagnostic tool in dermoscopy for identifying malignant melanoma by assigning point values to seven specific attributes. However, the…
Multi-modal Streaming 3D Object Detection
Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang +1
Modern autonomous vehicles rely heavily on mechanical LiDARs for perception. Current perception methods generally require 360° point clouds, collected sequentially as the LiDAR sca…
SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images
Yongwei Wang, Yuheng Wang, Tim K. Lee +2
Skin cancer is one of the most common types of malignancy, affecting a large population and causing a heavy economic burden worldwide. Over the last few years, computer-aided diagn…
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
Tianze Yu, Jianzhe Lin, Lichao Mou +3
Most publicly available datasets for image classification are with single labels, while images are inherently multi-labeled in our daily life. Such an annotation gap makes many pre…
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
Xin Ding, Yongwei Wang, Z. Jane Wang +1
Recently, subsampling or refining images generated from unconditional GANs has been actively studied to improve the overall image quality. Unfortunately, these methods are often ob…
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
Xin Ding, Yongwei Wang, Zuheng Xu +2
This work proposes the continuous conditional generative adversarial network (CcGAN), the first generative model for image generation conditional on continuous, scalar conditions (…
DT-LET: Deep Transfer Learning by Exploring where to Transfer
Jianzhe Lin, Qi Wang, Rabab Ward +1
Previous transfer learning methods based on deep network assume the knowledge should be transferred between the same hidden layers of the source domain and the target domains. This…