169 citations · 296 across the 5 of their papers we have counts for
11 papers
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…
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…
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu +1
Over the past decade, Deep Convolutional Neural Networks have been widely adopted for medical image segmentation and shown to achieve adequate performance. However, due to the inhe…
One-Class Classification: A Survey
Pramuditha Perera, Poojan Oza, Vishal M. Patel
One-Class Classification (OCC) is a special case of multi-class classification, where data observed during training is from a single positive class. The goal of OCC is to learn a r…
Anomaly Detection-Based Unknown Face Presentation Attack Detection
Yashasvi Baweja, Poojan Oza, Pramuditha Perera +1
Anomaly detection-based spoof attack detection is a recent development in face Presentation Attack Detection (fPAD), where a spoof detector is learned using only non-attacked image…