AIConfPaper
← Search

Md Amirul Islam

6 accepted papers

2022

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information

Matthew Kowal, Mennatullah Siam, Md Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
CVPR 2022poster

Deep spatiotemporal models are used in a variety of computer vision tasks, such as action recognition and video object segmentation. Currently, there is a limited understanding of what information is captured by these models in their intermediate representations. For example, while it has been obser…

Cited by 22PDF ↗code ↗Scholar ↗
2021

Bidirectional Attention Network for Monocular Depth Estimation

Shubhra Aich, Jean Marie Uwabeza Vianney, Md Amirul Islam, Mannat Kaur Bingbing Liu
ICRA 2021poster

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. The structure of this mechanism derives from a str…

Cited by 105Source ↗Scholar ↗
2021

Global Pooling, More Than Meets the Eye: Position Information Is Encoded Channel-Wise in CNNs

Md Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
ICCV 2021poster

In this paper, we challenge the common assumption that collapsing the spatial dimensions of a 3D (spatial-channel) tensor in a convolutional neural network (CNN) into a vector via global pooling removes all spatial information. Specifically, we demonstrate that positional information is encoded base…

Cited by 46PDF ↗code ↗Scholar ↗
2021

Shape or Texture: Understanding Discriminative Features in CNNs

Md Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis +1
ICLR 2021poster

Contrasting the previous evidence that neurons in the later layers of a Convolutional Neural Network (CNN) respond to complex object shapes, recent studies have shown that CNNs actually exhibit a 'texture bias': given an image with both texture and shape cues (e.g., a stylized image), a CNN is biase…

Cited by 98Source ↗PDF ↗Scholar ↗
2018

Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects

Md Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
CVPR 2018poster

Salient object detection is a problem that has been considered in detail and many solutions proposed. In this paper, we argue that work to date has addressed a problem that is relatively ill-posed. Specifically, there is not universal agreement about what constitutes a salient object when multiple o…

Cited by 149Source ↗PDF ↗Scholar ↗