1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Arkansas at FayettevilleUS17 papers
- University of DelawareUS16 papers
- U.S. National Science FoundationUS15 papers
- Iowa State UniversityUS13 papers
- Purdue University West LafayetteUS12 papers
- Center for Astrophysics Harvard & SmithsonianUS11 papers
- Michigan State UniversityUS11 papers
- Division of Mathematical SciencesUS10 papers
- University of California, Los AngelesUS10 papers
- Washington University in St. LouisUS10 papers
- DePauw UniversityUS9 papers
- Galway-Mayo Institute of TechnologyIE9 papers
7 papers · 1 filter
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets
Wei Dai, Daniel Berleant
Image quality is important, and can affect overall performance in image processing and computer vision as well as for numerous other reasons. Image quality assessment (IQA) is cons…
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong, Yang Cong, Gan Sun +3
Weakly-supervised learning has attracted growing research attention on medical lesions segmentation due to significant saving in pixel-level annotation cost. However, 1) most exist…
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Jiahua Dong, Yang Cong, Gan Sun +2
Unsupervised domain adaptation without consuming annotation process for unlabeled target data attracts appealing interests in semantic segmentation. However, 1) existing methods ne…
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong, Yang Cong, Gan Sun +2
Unsupervised domain adaptation has attracted growing research attention on semantic segmentation. However, 1) most existing models cannot be directly applied into lesions transfer…
Automatic Face Aging in Videos via Deep Reinforcement Learning
Chi Nhan Duong, Khoa Luu, Kha Gia Quach +4
This paper presents a novel approach to synthesize automatically age-progressed facial images in video sequences using Deep Reinforcement Learning. The proposed method models facia…
A Multimodal Approach to Predict Social Media Popularity
Mayank Meghawat, Satyendra Yadav, Debanjan Mahata +3
Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary sources of multimodal da…
Highly accurate model for prediction of lung nodule malignancy with CT scans
Jason Causey, Junyu Zhang, Shiqian Ma +6
Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It rem…