35 citations · 69 across the 20 of their papers we have counts for
6 papers · 1 filter
Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition
Mubariz Zaffar, Shoaib Ehsan, Michael Milford +1
This paper presents a cognition-inspired agnostic framework for building a map for Visual Place Recognition. This framework draws inspiration from human-memorability, utilizes the…
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes
Ahmad Khaliq, Shoaib Ehsan, Zetao Chen +2
This paper presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under signi…
MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip
Somdip Dey, Grigorios Kalliatakis, Sangeet Saha +3
Intelligent Transportation Systems (ITS) have become an important pillar in modern "smart city" framework which demands intelligent involvement of machines. Traffic load recognitio…
Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks
Jose Carlos Villarreal Guerra, Zeba Khanam, Shoaib Ehsan +2
Weather conditions often disrupt the proper functioning of transportation systems. Present systems either deploy an array of sensors or use an in-vehicle camera to predict weather…
Sensors, SLAM and Long-term Autonomy: A Review
Mubariz Zaffar, Shoaib Ehsan, Rustam Stolkin +1
Simultaneous Localization and Mapping, commonly known as SLAM, has been an active research area in the field of Robotics over the past three decades. For solving the SLAM problem,…
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images
Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis +1
Identifying potential abuses of human rights through imagery is a novel and challenging task in the field of computer vision, that will enable to expose human rights violations ove…