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05/02/2023
Federated Neural Radiance Fields
The ability of neural radiance fields or NeRFs to conduct accurate 3D mo...
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03/27/2023
Addressing the Challenges of Open-World Object Detection
We address the challenging problem of open world object detection (OWOD)...
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02/13/2023
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection
Unsupervised Domain Adaptive Object Detection (UDA-OD) uses unlabelled d...
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11/08/2022
ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes
Neural Radiance Fields (NeRFs) learn implicit representations of - typic...
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04/22/2022
Implicit Object Mapping With Noisy Data
Modelling individual objects as Neural Radiance Fields (NeRFs) within a ...
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12/10/2021
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
We introduce powerful ideas from Hyperdimensional Computing into the cha...
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09/16/2021
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM
Recent Semantic SLAM methods combine classical geometry-based estimation...
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08/19/2021
FSNet: A Failure Detection Framework for Semantic Segmentation
Semantic segmentation is an important task that helps autonomous vehicle...
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07/24/2021
Going Deeper into Semi-supervised Person Re-identification
Person re-identification is the challenging task of identifying a person...
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04/03/2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Deployed into an open world, object detectors are prone to a type of fal...
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01/20/2021
Semi-supervised Keypoint Localization
Knowledge about the locations of keypoints of an object in an image can ...
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01/05/2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
As deep learning continues to dominate all state-of-the-art computer vis...
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01/02/2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
For robots to navigate and interact more richly with the world around th...
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12/23/2020
SWA Object Detection
Do you want to improve 1.0 AP for your object detector without any infer...
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11/16/2020
Online Monitoring of Object Detection Performance Post-Deployment
Post-deployment, an object detector is expected to operate at a similar ...
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09/18/2020
Performance Monitoring of Object Detection During Deployment
Performance monitoring of object detection is crucial for safety-critica...
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09/11/2020
The Robotic Vision Scene Understanding Challenge
Being able to explore an environment and understand the location and typ...
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08/31/2020
VarifocalNet: An IoU-aware Dense Object Detector
Accurately ranking a huge number of candidate detections is a key to the...
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08/26/2020
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
Learning embeddings that are invariant to the pose of the object is cruc...
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08/03/2020
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
We introduce BenchBot, a novel software suite for benchmarking the perfo...
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04/06/2020
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers
Existing open set classifiers distinguish between known and unknown inpu...
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01/31/2020
Robot Navigation in Unseen Spaces using an Abstract Map
Human navigation in built environments depends on symbolic spatial infor...
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01/16/2020
Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing
In this paper we consider the problem of the final approach stage of clo...
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01/09/2020
Learning landmark guided embeddings for animal re-identification
Re-identification of individual animals in images can be ambiguous due t...
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01/08/2020
What can robotics research learn from computer vision research?
The computer vision and robotics research communities are each strong. H...
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01/02/2020
Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation
This paper presents a novel approach to underwater terrain mapping for A...
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03/19/2019
The Probabilistic Object Detection Challenge
We introduce a new challenge for computer and robotic vision, the first ...
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03/15/2019
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors
Object detection is an integral part of an autonomous vehicle for its sa...
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02/28/2019
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Visual identification of individual animals that bear unique natural bod...
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11/27/2018
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation
We propose a new visual object detector evaluation measure which not onl...
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09/17/2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
There has been a recent emergence of sampling-based techniques for estim...
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06/26/2018
An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest
Horticultural enterprises are becoming more sophisticated as the range o...
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04/06/2018
Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles
This paper presents the design and implementation of an assisted control...
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01/25/2018
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management
In this work we demonstrate a rapidly deployable weed classification sys...
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10/18/2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dropout Variational Inference, or Dropout Sampling, has been recently pr...
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03/21/2017
Episode-Based Active Learning with Bayesian Neural Networks
We investigate different strategies for active learning with Bayesian de...
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02/04/2017
Towards Unsupervised Weed Scouting for Agricultural Robotics
Weed scouting is an important part of modern integrated weed management ...
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01/30/2017
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information
This paper presents a 3D visual detection method for the challenging tas...
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01/17/2015