University of Bristol

research

∙ 01/27/2020

Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

Fine-grained action recognition datasets exhibit environmental bias, whe...

Jonathan Munro, et al. ∙

research

∙ 01/27/2020

One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

The need for transparency of predictive systems based on Machine Learnin...

Kacper Sokol, et al. ∙

research

∙ 09/11/2019

FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

Machine learning algorithms can take important decisions, sometimes lega...

Kacper Sokol, et al. ∙

research

∙ 05/26/2020

Prediction of Thrombectomy FunctionalOutcomes using Multimodal Data

Recent randomised clinical trials have shown that patients with ischaemi...

Zeynel A. Samak, et al. ∙

research

∙ 11/09/2021

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

Identifying uncertainty and taking mitigating actions is crucial for saf...

Stefan Radic Webster, et al. ∙

research

∙ 07/29/2020

Video compression with low complexity CNN-based spatial resolution adaptation

It has recently been demonstrated that spatial resolution adaptation can...

Di Ma, et al. ∙

research

∙ 07/02/2020

Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?

Various methods of measuring unit selectivity have been developed with t...

Ella M. Gale, et al. ∙

research

∙ 12/29/2021

Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence

Explainable artificial intelligence and interpretable machine learning a...

Kacper Sokol, et al. ∙

research

∙ 08/22/2020

Supervision Levels Scale (SLS)

We propose a three-dimensional discrete and incremental scale to encode ...

Dima Damen, et al. ∙

research

∙ 02/23/2022

MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset

Misinformation is becoming increasingly prevalent on social media and in...

Dan Saattrup Nielsen, et al. ∙

research

∙ 06/16/2020

Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning

Holstein Friesian cattle exhibit individually-characteristic black and w...

William Andrew, et al. ∙

research

∙ 09/20/2019

Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos

We investigate video transforms that result in class-homogeneous label-t...

Will Price, et al. ∙

research

∙ 09/10/2020

TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments

In explainable artificial intelligence, there is increasing interest in ...

Tom Bewley, et al. ∙

research

∙ 01/02/2022

TVNet: Temporal Voting Network for Action Localization

We propose a Temporal Voting Network (TVNet) for action localization in ...

Hanyuan Wang, et al. ∙

research

∙ 09/20/2019

FACE: Feasible and Actionable Counterfactual Explanations

Work in Counterfactual Explanations tends to focus on the principle of "...

Rafael Poyiadzi, et al. ∙

research

∙ 10/28/2021

What makes us curious? analysis of a corpus of open-domain questions

Every day people ask short questions through smart devices or online for...

Zhaozhen Xu, et al. ∙

research

∙ 11/12/2021

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN

Radio access network (RAN) technologies continue to witness massive grow...

Peizheng Li, et al. ∙

research

∙ 12/20/2021

Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions

The potential of reinforcement learning (RL) to deliver aligned and perf...

Tom Bewley, et al. ∙

research

∙ 06/19/2020

Modelling Agent Policies with Interpretable Imitation Learning

As we deploy autonomous agents in safety-critical domains, it becomes im...

Tom Bewley, et al. ∙

research

∙ 11/30/2021

Spatio-Temporal Multi-Flow Network for Video Frame Interpolation

Video frame interpolation (VFI) is currently a very active research topi...

Duolikun Danier, et al. ∙

research

∙ 05/03/2022

Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery

Digital art restoration has benefited from inpainting models to correct ...

Lucia Cipolina-Kun, et al. ∙

research

∙ 06/08/2021

On the relation between statistical learning and perceptual distances

It has been demonstrated many times that the behavior of the human visua...

Alexander Hepburn, et al. ∙

research

∙ 08/05/2021

Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation

We propose a novel object-augmented RGB-D SLAM system that is capable of...

Yuhang Ming, et al. ∙

research

∙ 01/13/2022

Hand-Object Interaction Reasoning

This paper proposes an interaction reasoning network for modelling spati...

Jian Ma, et al. ∙

research

∙ 05/12/2022

Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers

Parkinson's disease (PD) is a slowly progressive debilitating neurodegen...

Ferdian Jovan, et al. ∙

research

∙ 08/07/2019

HyperStream: a Workflow Engine for Streaming Data

This paper describes HyperStream, a large-scale, flexible and robust sof...

Tom Diethe, et al. ∙

research

∙ 02/11/2019

Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild

In this paper, we present a novel single shot face-related task analysis...

Youngkyoon Jang, et al. ∙

research

∙ 05/26/2020

Prediction of Thrombectomy Functional Outcomes using Multimodal Data

Recent randomised clinical trials have shown that patients with ischaemi...

Zeynel A. Samak, et al. ∙

research

∙ 06/16/2021

Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation

Simulation has recently become key for deep reinforcement learning to sa...

Alex Church, et al. ∙

research

∙ 09/08/2021

Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear

Robotic touch, particularly when using soft optical tactile sensors, suf...

Anupam K. Gupta, et al. ∙

research

∙ 08/16/2019

N2D:(Not Too) Deep clustering via clustering the local manifold of an autoencoded embedding

Deep clustering has increasingly been demonstrating superiority over con...

Ryan McConville, et al. ∙

research

∙ 09/17/2021

Unsupervised View-Invariant Human Posture Representation

Most recent view-invariant action recognition and performance assessment...

Faegheh Sardari, et al. ∙

research

∙ 11/01/2021

AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling

Pooling layers are essential building blocks of Convolutional Neural Net...

Alexandros Stergiou, et al. ∙

research

∙ 06/16/2018

Right for the Right Reason: Training Agnostic Networks

We consider the problem of a neural network being requested to classify ...

Sen Jia, et al. ∙

research

∙ 06/20/2018

Non-Parametric Calibration of Probabilistic Regression

The task of calibration is to retrospectively adjust the outputs from a ...

Hao Song, et al. ∙

research

∙ 07/27/2021

Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle

The combination of a small unmanned ground vehicle (UGV) and a large unm...

Jie Li, et al. ∙

research

∙ 09/29/2021

The Object at Hand: Automated Editing for Mixed Reality Video Guidance from Hand-Object Interactions

In this paper, we concern with the problem of how to automatically extra...

Yao Lu, et al. ∙

research

∙ 06/17/2020

On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms

Word Embeddings are used widely in multiple Natural Language Processing ...

Adam Sutton, et al. ∙

research

∙ 07/05/2018

Road surface 3d reconstruction based on dense subpixel disparity map estimation

Various 3D reconstruction methods have enabled civil engineers to detect...

Rui Fan, et al. ∙

research

∙ 09/29/2021

Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation

In this paper, we address the problem of estimating the hand pose from t...

Yao Lu, et al. ∙

research

∙ 11/12/2021

Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance

Visuals captured by high-flying aerial drones are increasingly used to a...

Mowen Xue, et al. ∙

research

∙ 11/29/2021

Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks

Functional maps are efficient representations of shape correspondences, ...

Faria Huq, et al. ∙

research

∙ 04/30/2022

Dynamic Curriculum Learning for Great Ape Detection in the Wild

We propose a novel end-to-end curriculum learning approach that leverage...

Xinyu Yang, et al. ∙

research

∙ 08/09/2019

Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance

In recent years there has been a growing interest in image generation th...

Alexander Hepburn, et al. ∙

research

∙ 01/27/2020

Bayesian nonparametric shared multi-sequence time series segmentation

In this paper, we introduce a method for segmenting time series data usi...

Olga Mikheeva, et al. ∙

research

∙ 03/30/2022

The Weak Supervision Landscape

Many ways of annotating a dataset for machine learning classification ta...

Rafael Poyiadzi, et al. ∙

research

∙ 06/21/2018

CaloriNet: From silhouettes to calorie estimation in private environments

We propose a novel deep fusion architecture, CaloriNet, for the online e...

Alessandro Masullo, et al. ∙

research

∙ 03/30/2020

BVI-DVC: A Training Database for Deep Video Compression

Deep learning methods are increasingly being applied in the optimisation...

Di Ma, et al. ∙

research

∙ 05/07/2020

Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data

The large volumes of Sentinel-1 data produced over Europe are being used...

Nantheera Anantrasirichai, et al. ∙

research

∙ 05/04/2020

LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees

Systems based on artificial intelligence and machine learning models sho...

Kacper Sokol, et al. ∙

University of Bristol

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