11 citations · 54 across the 19 of their papers we have counts for
8 papers · 1 filter
StressNet: Detecting Stress in Thermal Videos
Satish Kumar, A S M Iftekhar, Michael Goebel +7
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals su…
Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy
S. Shailja, Jiaxiang Jiang, B. S. Manjunath
We propose a novel weakly supervised method to improve the boundary of the 3D segmented nuclei utilizing an over-segmented image. This is motivated by the observation that current…
Exploiting Context for Robustness to Label Noise in Active Learning
Sudipta Paul, Shivkumar Chandrasekaran, B. S. Manjunath +1
Several works in computer vision have demonstrated the effectiveness of active learning for adapting the recognition model when new unlabeled data becomes available. Most of these…
Adversarial Attacks on Co-Occurrence Features for GAN Detection
Michael Goebel, B. S. Manjunath
Improvements in Generative Adversarial Networks (GANs) have greatly reduced the difficulty of producing new, photo-realistic images with unique semantic meaning. With this rise in…
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
Devendra K. Jangid, Neal R. Brodnik, Amil Khan +4
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same…
Detection, Attribution and Localization of GAN Generated Images
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy +3
Recent advances in Generative Adversarial Networks (GANs) have led to the creation of realistic-looking digital images that pose a major challenge to their detection by humans or c…