Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study

no code implementations • 17 Jan 2023 • Sajith Rajapaksa, Jean Marie Uwabeza Vianney, Renell Castro, Farzad Khalvati, Shubhra Aich

This paper investigates the potential usage of large text-to-image (LTI) models for the automated diagnosis of a few skin conditions with rarity or a serious lack of annotated datasets.

Bidirectional Attention Network for Monocular Depth Estimation

1 code implementation • 1 Sep 2020 • Shubhra Aich, Jean Marie Uwabeza Vianney, Md Amirul Islam, Mannat Kaur, Bingbing Liu

In this paper, we propose a Bidirectional Attention Network (BANet), an end-to-end framework for monocular depth estimation (MDE) that addresses the limitation of effectively integrating local and global information in convolutional neural networks.

Machine Translation Monocular Depth Estimation +1

RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving

no code implementations • 21 Nov 2019 • Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu

In this paper, we strive for solving the ambiguities arisen by the astoundingly high density of raw PseudoLiDAR for monocular 3D object detection for autonomous driving.

Autonomous Driving Monocular 3D Object Detection +2