640 citations · 3.8k across the 145 of their papers we have counts for
31 papers · 1 filter
Reference-based Magnetic Resonance Image Reconstruction Using Texture Transformer
Pengfei Guo, Vishal M. Patel
Deep Learning (DL) based methods for magnetic resonance (MR) image reconstruction have been shown to produce superior performance in recent years. However, these methods either onl…
LTT-GAN: Looking Through Turbulence by Inverting GANs
Kangfu Mei, Vishal M. Patel
In many applications of long-range imaging, we are faced with a scenario where a person appearing in the captured imagery is often degraded by atmospheric turbulence. However, rest…
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
Yu Zeng, Zhe Lin, Vishal M. Patel
Sketch-based image manipulation is an interactive image editing task to modify an image based on input sketches from users. Existing methods typically formulate this task as a cond…
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel
Removing adverse weather conditions like rain, fog, and snow from images is an important problem in many applications. Most methods proposed in the literature have been designed to…
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation
Rui Shao, Bochao Zhang, Pong C. Yuen +1
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. The generalization ability of face presentation attack detection models to…
Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection
Shraman Pramanick, Aniket Roy, Vishal M. Patel
Multimodal learning is an emerging yet challenging research area. In this paper, we deal with multimodal sarcasm and humor detection from conversational videos and image-text pairs…
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
Vibashan VS, Domenick Poster, Suya You +2
Object detectors trained on large-scale RGB datasets are being extensively employed in real-world applications. However, these RGB-trained models suffer a performance drop under ad…
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
Road extraction is an essential step in building autonomous navigation systems. Detecting road segments is challenging as they are of varying widths, bifurcated throughout the imag…
Fine-Context Shadow Detection using Shadow Removal
Jeya Maria Jose Valanarasu, Vishal M. Patel
Current shadow detection methods perform poorly when detecting shadow regions that are small, unclear or have blurry edges. In this work, we attempt to address this problem on two…
Adversarially Robust One-class Novelty Detection
Shao-Yuan Lo, Poojan Oza, Vishal M. Patel
One-class novelty detectors are trained with examples of a particular class and are tasked with identifying whether a query example belongs to the same known class. Most recent adv…
A Synthesis-Based Approach for Thermal-to-Visible Face Verification
Neehar Peri, Joshua Gleason, Carlos D. Castillo +3
In recent years, visible-spectrum face verification systems have been shown to match the performance of experienced forensic examiners. However, such systems are ineffective in low…
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che, Sumana Ramanathan, David Foran +3
With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ul…
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
Velat Kilic, Deepti Hegde, Vishwanath Sindagi +3
Lidar-based object detectors are critical parts of the 3D perception pipeline in autonomous navigation systems such as self-driving cars. However, they are known to be sensitive to…
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
Hyperspectral pansharpening aims to synthesize a low-resolution hyperspectral image (LR-HSI) with a registered panchromatic image (PAN) to generate an enhanced HSI with high spectr…
Image Fusion Transformer
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza +1
In image fusion, images obtained from different sensors are fused to generate a single image with enhanced information. In recent years, state-of-the-art methods have adopted Convo…
Heterogeneous Face Frontalization via Domain Agnostic Learning
Xing Di, Shuowen Hu, Vishal M. Patel
Recent advances in deep convolutional neural networks (DCNNs) have shown impressive performance improvements on thermal to visible face synthesis and matching problems. However, cu…
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang +3
Reconstructing magnetic resonance (MR) images from undersampled data is a challenging problem due to various artifacts introduced by the under-sampling operation. Recent deep learn…
Network Architecture Search for Face Enhancement
Rajeev Yasarla, Hamid Reza Vaezi Joze, Vishal M Patel
Various factors such as ambient lighting conditions, noise, motion blur, etc. affect the quality of captured face images. Poor quality face images often reduce the performance of f…
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza, Vishwanath A. Sindagi, Vibashan VS +1
Recent advances in deep learning have led to the development of accurate and efficient models for various computer vision applications such as classification, segmentation, and det…
Federated Learning-based Active Authentication on Mobile Devices
Poojan Oza, Vishal M. Patel
User active authentication on mobile devices aims to learn a model that can correctly recognize the enrolled user based on device sensor information. Due to lack of negative class…
Multimodal Face Synthesis from Visual Attributes
Xing Di, Vishal M. Patel
Synthesis of face images from visual attributes is an important problem in computer vision and biometrics due to its applications in law enforcement and entertainment. Recent advan…
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Vibashan VS, Vikram Gupta, Poojan Oza +2
Existing approaches for unsupervised domain adaptive object detection perform feature alignment via adversarial training. While these methods achieve reasonable improvements in per…
Federated Generalized Face Presentation Attack Detection
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Face presentation attack detection plays a critical role in the modern face recognition pipeline. A face presentation attack detection model with good generalization can be obtaine…
Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
Rakhil Immidisetti, Shuowen Hu, Vishal M. Patel
Existing thermal-to-visible face verification approaches expect the thermal and visible face images to be of similar resolution. This is unlikely in real-world long-range surveilla…