62 citations · 153 across the 45 of their papers we have counts for
14 papers · 1 filter
Sparse Coding in a Dual Memory System for Lifelong Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
Efficient continual learning in humans is enabled by a rich set of neurophysiological mechanisms and interactions between multiple memory systems. The brain efficiently encodes inf…
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…
Image Masking for Robust Self-Supervised Monocular Depth Estimation
Hemang Chawla, Kishaan Jeeveswaran, Elahe Arani +1
Self-supervised monocular depth estimation is a salient task for 3D scene understanding. Learned jointly with monocular ego-motion estimation, several methods have been proposed to…
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
Naresh Kumar Gurulingan, Elahe Arani, Bahram Zonooz
Multi-task learning of dense prediction tasks, by sharing both the encoder and decoder, as opposed to sharing only the encoder, provides an attractive front to increase both accura…
Differencing based Self-supervised pretraining for Scene Change Detection
Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz
Scene change detection (SCD), a crucial perception task, identifies changes by comparing scenes captured at different times. SCD is challenging due to noisy changes in illumination…
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey
Elahe Arani, Shruthi Gowda, Ratnajit Mukherjee +3
Deep neural network based object detectors are continuously evolving and are used in a multitude of applications, each having its own set of requirements. While safety-critical app…
Adversarial Attacks on Monocular Pose Estimation
Hemang Chawla, Arnav Varma, Elahe Arani +1
Advances in deep learning have resulted in steady progress in computer vision with improved accuracy on tasks such as object detection and semantic segmentation. Nevertheless, deep…
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach
Prashant Bhat, Bahram Zonooz, Elahe Arani
Continual learning (CL) over non-stationary data streams remains one of the long-standing challenges in deep neural networks (DNNs) as they are prone to catastrophic forgetting. CL…
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Bhat, Bahram Zonooz, Elahe Arani
Deep neural networks struggle to continually learn multiple sequential tasks due to catastrophic forgetting of previously learned tasks. Rehearsal-based methods which explicitly st…
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness
Shruthi Gowda, Bahram Zonooz, Elahe Arani
Humans rely less on spurious correlations and trivial cues, such as texture, compared to deep neural networks which lead to better generalization and robustness. It can be attribut…
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
Continual learning (CL) in the brain is facilitated by a complex set of mechanisms. This includes the interplay of multiple memory systems for consolidating information as posited…
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics
Arnav Varma, Hemang Chawla, Bahram Zonooz +1
The advent of autonomous driving and advanced driver assistance systems necessitates continuous developments in computer vision for 3D scene understanding. Self-supervised monocula…
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…
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani, Fahad Sarfraz, Bahram Zonooz
Humans excel at continually learning from an ever-changing environment whereas it remains a challenge for deep neural networks which exhibit catastrophic forgetting. The complement…