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20182024
most citedSemantics for Robotic Mapping, Perception and Interaction: A Survey

103 citations · 219 across the 14 of their papers we have counts for

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10 papers · 1 filter

cs.CV2024

VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition

Ahmad Khaliq, Ming Xu, Stephen Hausler +2

Visual Place Recognition (VPR) is a crucial component of many visual localization pipelines for embodied agents. VPR is often formulated as an image retrieval task aimed at jointly…

cs.CV2022

GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions

Sanket Kalwar, Dhruv Patel, Aakash Aanegola +3

Detecting objects under adverse weather and lighting conditions is crucial for the safe and continuous operation of an autonomous vehicle, and remains an unsolved problem. We prese…

cs.CV20225 cited

Improving Road Segmentation in Challenging Domains Using Similar Place Priors

Connor Malone, Sourav Garg, Ming Xu +2

Road segmentation in challenging domains, such as night, snow or rain, is a difficult task. Most current approaches boost performance using fine-tuning, domain adaptation, style tr…

cs.CV20226 cited

ReF -- Rotation Equivariant Features for Local Feature Matching

Abhishek Peri, Kinal Mehta, Avneesh Mishra +3

Sparse local feature matching is pivotal for many computer vision and robotics tasks. To improve their invariance to challenging appearance conditions and viewing angles, and hence…

cs.CV202250 cited

MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery

Ahmad Khaliq, Michael Milford, Sourav Garg

Visual Place Recognition (VPR) is a crucial component of 6-DoF localization, visual SLAM and structure-from-motion pipelines, tasked to generate an initial list of place match hypo…

cs.CV20211 cited

SeqNetVLAD vs PointNetVLAD: Image Sequence vs 3D Point Clouds for Day-Night Place Recognition

Sourav Garg, Michael Milford

Place Recognition is a crucial capability for mobile robot localization and navigation. Image-based or Visual Place Recognition (VPR) is a challenging problem as scene appearance a…