b'Tom Drummond'

research

∙ 04/05/2023

Knowledge Combination to Learn Rotated Detection Without Rotated Annotation

Rotated bounding boxes drastically reduce output ambiguity of elongated ...

5 Tianyu Zhu, et al. ∙

research

∙ 11/22/2022

Multimorbidity Content-Based Medical Image Retrieval Using Proxies

Content-based medical image retrieval is an important diagnostic tool th...

0 Yunyan Xing, et al. ∙

research

∙ 10/09/2022

A Differentiable Distance Approximation for Fairer Image Classification

Naively trained AI models can be heavily biased. This can be particularl...

0 Nicholas Rosa, et al. ∙

research

∙ 07/25/2022

Deep Laparoscopic Stereo Matching with Transformers

The self-attention mechanism, successfully employed with the transformer...

0 Xuelian Cheng, et al. ∙

research

∙ 06/15/2022

Rethinking Generalization in Few-Shot Classification

Single image-level annotations only correctly describe an often small su...

0 Markus Hiller, et al. ∙

research

∙ 06/15/2022

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation

Inspired by the concept of preconditioning, we propose a novel method to...

0 Markus Hiller, et al. ∙

research

∙ 03/14/2022

Implicit Motion Handling for Video Camouflaged Object Detection

We propose a new video camouflaged object detection (VCOD) framework tha...

0 Xuelian Cheng, et al. ∙

research

∙ 12/07/2021

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Learning and generalizing to novel concepts with few samples (Few-Shot L...

0 Rongkai Ma, et al. ∙

research

∙ 12/03/2021

Adaptive Poincaré Point to Set Distance for Few-Shot Classification

Learning and generalizing from limited examples, i,e, few-shot learning,...

0 Rongkai Ma, et al. ∙

research

∙ 11/12/2021

Learning Online for Unified Segmentation and Tracking Models

Tracking requires building a discriminative model for the target in the ...

0 Tianyu Zhu, et al. ∙

research

∙ 04/22/2021

Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

In the real world, medical datasets often exhibit a long-tailed data dis...

14 Lie Ju, et al. ∙

research

∙ 04/08/2021

Seeing Thru Walls: Visualizing Mobile Robots in Augmented Reality

We present an approach for visualizing mobile robots through an Augmente...

0 Morris Gu, et al. ∙

research

∙ 04/07/2021

Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface

An appropriate user interface to collect human demonstration data for de...

0 Benjamin Waymouth, et al. ∙

research

∙ 03/27/2021

Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers

Tracking a time-varying indefinite number of objects in a video sequence...

0 Tianyu Zhu, et al. ∙

research

∙ 03/06/2021

Visualizing Robot Intent for Object Handovers with Augmented Reality

Humans are very skillful in communicating their intent for when and wher...

0 Rhys Newbury, et al. ∙

research

∙ 02/28/2021

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation

Deep neural networks are known to be data-driven and label noise can hav...

0 Lie Ju, et al. ∙

research

∙ 11/27/2020

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

Recently, ultra-widefield (UWF) 200-degree fundus imaging by Optos camer...

0 Lie Ju, et al. ∙

research

∙ 11/09/2020

Localising In Complex Scenes Using Balanced Adversarial Adaptation

Domain adaptation and generative modelling have collectively mitigated t...

0 Gil Avraham, et al. ∙

research

∙ 11/04/2020

Residual Likelihood Forests

This paper presents a novel ensemble learning approach called Residual L...

0 Yan Zuo, et al. ∙

research

∙ 10/26/2020

Hierarchical Neural Architecture Search for Deep Stereo Matching

To reduce the human efforts in neural network design, Neural Architectur...

0 Xuelian Cheng, et al. ∙

research

∙ 08/10/2020

Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning

Camera-based end-to-end driving neural networks bring the promise of a l...

5 Abdelhak Loukkal, et al. ∙

research

∙ 05/02/2020

Supportive Actions for Manipulation in Human-Robot Coworker Teams

The increasing presence of robots alongside humans, such as in human-rob...

1 Shray Bansal, et al. ∙

research

∙ 04/01/2020

Learning to Place Objects onto Flat Surfaces in Human-Preferred Orientations

We study the problem of placing a grasped object on an empty flat surfac...

1 Rhys Newbury, et al. ∙

research

∙ 03/23/2020

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation

For decades, advances in retinal imaging technology have enabled effecti...

3 Lie Ju, et al. ∙

research

∙ 03/20/2020

How to Train Your Event Camera Neural Network

Event cameras are paradigm-shifting novel sensors that report asynchrono...

18 Timo Stoffregen, et al. ∙

research

∙ 03/18/2020

OpenGAN: Open Set Generative Adversarial Networks

Many existing conditional Generative Adversarial Networks (cGANs) are li...

10 Luke Ditria, et al. ∙

research

∙ 02/07/2020

Switchable Precision Neural Networks

Instantaneous and on demand accuracy-efficiency trade-off has been recen...

3 Luis Guerra, et al. ∙

research

∙ 02/03/2020

Automatic Pruning for Quantized Neural Networks

Neural network quantization and pruning are two techniques commonly used...

4 Luis Guerra, et al. ∙

research

∙ 10/11/2019

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

Recent works show that Generative Adversarial Networks (GANs) can be suc...

0 Yunyan Xing, et al. ∙

research

∙ 07/31/2019

EMPNet: Neural Localisation and Mapping using Embedded Memory Points

Continuously estimating an agent's state space and a representation of i...

2 Gil Avraham, et al. ∙

research

∙ 06/17/2019

Embracing Contact: Pushing Multiple Objects with Robot's Forearm

Grasping is the dominant approach for robot manipulation, but only a sin...

0 Akansel Cosgun, et al. ∙

research

∙ 05/22/2019

Practical Robot Learning from Demonstrations using Deep End-to-End Training

Robots need to learn behaviors in intuitive and practical ways for wides...

0 Akansel Cosgun, et al. ∙

research

∙ 04/11/2019

Learning to Take Good Pictures of People with a Robot Photographer

We present a robotic system capable of navigating autonomously by follow...

0 Rhys Newbury, et al. ∙

research

∙ 04/02/2019

Event-Based Motion Segmentation by Motion Compensation

In contrast to traditional cameras, whose pixels have a common exposure ...

4 Timo Stoffregen, et al. ∙

research

∙ 02/27/2019

The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning

State-of-the-art deep neural network recognition systems are designed fo...

0 Benjamin J. Meyer, et al. ∙

research

∙ 02/20/2019

Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation

Visual place recognition (VPR) - the act of recognizing a familiar visua...

0 Sourav Garg, et al. ∙

research

∙ 12/06/2018

Traversing Latent Space using Decision Ferns

The practice of transforming raw data to a feature space so that inferen...

2 Yan Zuo, et al. ∙

research

∙ 10/16/2018

Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks

In this paper, we introduce a novel methodology for characterising the p...

0 Zhibin Liao, et al. ∙

research

∙ 09/13/2018

Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations

Deployment of deep learning models in robotics as sensory information ex...

0 Vladimir Nekrasov, et al. ∙

research

∙ 07/24/2018

CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks

Since the resurgence of CNNs the robotic vision community has developed ...

4 Andrew Spek, et al. ∙

research

∙ 07/16/2018

ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs

Recovering structure and motion parameters given a image pair or a seque...

6 Thanuja Dharmasiri, et al. ∙

research

∙ 06/30/2018

Quantity beats quality for semantic segmentation of corrosion in images

Dataset creation is typically one of the first steps when applying Artif...

0 Will Nash, et al. ∙

research

∙ 05/31/2018

Learning Factorized Representations for Open-set Domain Adaptation

Domain adaptation for visual recognition has undergone great progress in...

0 Mahsa Baktashmotlagh, et al. ∙

research

∙ 05/14/2018

Generative Adversarial Forests for Better Conditioned Adversarial Learning

In recent times, many of the breakthroughs in various vision-related tas...

0 Yan Zuo, et al. ∙

research

∙ 05/11/2018

Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors

We present "just-in-time reconstruction" as real-time image-guided inpai...

0 Chamara Saroj Weerasekera, et al. ∙

research

∙ 04/28/2018

Efficient Subpixel Refinement with Symbolic Linear Predictors

We present an efficient subpixel refinement method usinga learning-based...

0 Vincent Lui, et al. ∙

research

∙ 07/03/2017

A Fast Method For Computing Principal Curvatures From Range Images

Estimation of surface curvature from range data is important for a range...

0 Andrew Spek, et al. ∙

research

∙ 07/03/2017

Joint Pose and Principal Curvature Refinement Using Quadrics

In this paper we present a novel joint approach for optimising surface c...

0 Andrew Spek, et al. ∙

research

∙ 06/23/2017

Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs

Understanding the 3D structure of a scene is of vital importance, when i...

0 Thanuja Dharmasiri, et al. ∙

research

∙ 05/27/2017

Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks

We present a radial basis function solver for convolutional neural netwo...

0 Benjamin J. Meyer, et al. ∙

Tom Drummond

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