8 citations · 12 across the 4 of their papers we have counts for
6 papers
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data
Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi +1
We propose a new order preserving bilinear framework that exploits low-resolution video for person detection in a multi-modal setting using deep neural networks. In this setting ca…
Optimizing Region Selection for Weakly Supervised Object Detection
Wenhui Jiang, Thuyen Ngo, B. S. Manjunath +2
Training object detectors with only image-level annotations is very challenging because the target objects are often surrounded by a large number of background clutters. Many exist…
Detection and Localization of Image Forgeries using Resampling Features and Deep Learning
Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed +6
Resampling is an important signature of manipulated images. In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling fe…
Summarization of ICU Patient Motion from Multimodal Multiview Videos
Carlos Torres, Kenneth Rose, Jeffrey C. Fried +1
Clinical observations indicate that during critical care at the hospitals, patients sleep positioning and motion affect recovery. Unfortunately, there is no formal medical protocol…
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency, Heesung Kwon, Hyungtae Lee +2
Object localization is an important computer vision problem with a variety of applications. The lack of large scale object-level annotations and the relative abundance of image-lev…
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data
Carlos Torres, Victor Fragoso, Scott D. Hammond +2
Manual analysis of body poses of bed-ridden patients requires staff to continuously track and record patient poses. Two limitations in the dissemination of pose-related therapies a…