1 citations · 1 across the 7 of their papers we have counts for
7 papers
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
Fahad Sarfraz, Bahram Zonooz, Elahe Arani
While humans excel at continual learning (CL), deep neural networks (DNNs) exhibit catastrophic forgetting. A salient feature of the brain that allows effective CL is that it utili…
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage
Haris Iqbal, Hemang Chawla, Arnav Varma +4
Road infrastructure maintenance inspection is typically a labor-intensive and critical task to ensure the safety of all road users. Existing state-of-the-art techniques in Artifici…
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks
Kishaan Jeeveswaran, Senthilkumar Kathiresan, Arnav Varma +3
Convolutional Neural Networks (CNNs), architectures consisting of convolutional layers, have been the standard choice in vision tasks. Recent studies have shown that Vision Transfo…
Does Thermal data make the detection systems more reliable?
Shruthi Gowda, Bahram Zonooz, Elahe Arani
Deep learning-based detection networks have made remarkable progress in autonomous driving systems (ADS). ADS should have reliable performance across a variety of ambient lighting…
Improving the Efficiency of Transformers for Resource-Constrained Devices
Hamid Tabani, Ajay Balasubramaniam, Shabbir Marzban +2
Transformers provide promising accuracy and have become popular and used in various domains such as natural language processing and computer vision. However, due to their massive n…
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs
Ahmed Badar, Arnav Varma, Adrian Staniec +5
Convolutional neural networks (CNNs) have become commonplace in addressing major challenges in computer vision. Researchers are not only coming up with new CNN architectures but ar…