640 citations · 3.8k across the 145 of their papers we have counts for
10 papers · 1 filter
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
He Zhang, Benjamin S. Riggan, Shuowen Hu +2
The large domain discrepancy between faces captured in polarimetric (or conventional) thermal and visible domain makes cross-domain face verification a highly challenging problem f…
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
We present an efficient approach for leveraging the knowledge from multiple modalities in training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand…
Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu, Huaibo Huang, Vishal M. Patel +2
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the significant domain discrepancy between the domains and a lack of sufficient data for training…
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN
Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu
Various imaging artifacts, low signal-to-noise ratio, and bone surfaces appearing several millimeters in thickness have hindered the success of ultrasound (US) guided computer assi…
Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results
Hajime Nada, Vishwanath A. Sindagi, He Zhang +1
Face detection has witnessed immense progress in the last few years, with new milestones being surpassed every year. While many challenges such as large variations in scale, pose,…
Deep Multimodal Subspace Clustering Networks
Mahdi Abavisani, Vishal M. Patel
We present convolutional neural network (CNN) based approaches for unsupervised multimodal subspace clustering. The proposed framework consists of three main stages - multimodal en…
Densely Connected Pyramid Dehazing Network
He Zhang, Vishal M. Patel
We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light…
Generating High Quality Visible Images from SAR Images Using CNNs
Puyang Wang, Vishal M. Patel
We propose a novel approach for generating high quality visible-like images from Synthetic Aperture Radar (SAR) images using Deep Convolutional Generative Adversarial Network (GAN)…
Density-aware Single Image De-raining using a Multi-stream Dense Network
He Zhang, Vishal M. Patel
Single image rain streak removal is an extremely challenging problem due to the presence of non-uniform rain densities in images. We present a novel density-aware multi-stream dens…
Learning Deep Features for One-Class Classification
Pramuditha Perera, Vishal M. Patel
We propose a deep learning-based solution for the problem of feature learning in one-class classification. The proposed method operates on top of a Convolutional Neural Network (CN…