42 citations · 42 across the 3 of their papers we have counts for
8 papers
Bidirectional Attention Network for Monocular Depth Estimation
Shubhra Aich, Jean Marie Uwabeza Vianney, Md Amirul Islam +2
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 integ…
Multi-Scale Weight Sharing Network for Image Recognition
Shubhra Aich, Ian Stavness, Yasuhiro Taniguchi +1
In this paper, we explore the idea of weight sharing over multiple scales in convolutional networks. Inspired by traditional computer vision approaches, we share the weights of con…
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving
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. Without mu…
Semantic Binary Segmentation using Convolutional Networks without Decoders
Shubhra Aich, William van der Kamp, Ian Stavness
In this paper, we propose an efficient architecture for semantic image segmentation using the depth-to-space (D2S) operation. Our D2S model is comprised of a standard CNN encoder f…
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images
Shubhra Aich, Ian Stavness
In this paper, we explore the problem of training one-look regression models for counting objects in datasets comprising a small number of high-resolution, variable-shaped images.…
Improving Object Counting with Heatmap Regulation
Shubhra Aich, Ian Stavness
In this paper, we propose a simple and effective way to improve one-look regression models for object counting from images. We use class activation map visualizations to illustrate…