Search Results for author: Majid Mirmehdi

Found 26 papers, 12 papers with code

Refining Action Boundaries for One-stage Detection

1 code implementation25 Oct 2022 Hanyuan Wang, Majid Mirmehdi, Dima Damen, Toby Perrett

We obtain state-of-the-art performance on the challenging EPIC-KITCHENS-100 action detection as well as the standard THUMOS14 action detection benchmarks, and achieve improvement on the ActivityNet-1. 3 benchmark.

Action Detection

Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation

1 code implementation17 Aug 2022 Chengxi Zeng, Xinyu Yang, Majid Mirmehdi, Alberto M Gambaruto, Tilo Burghardt

Our findings suggest that the proposed model can indeed enhance the TransUNet architecture via exploiting temporal information and improving segmentation performance by a significant margin.

Instance Segmentation Semantic Segmentation

Detecting Humans in RGB-D Data with CNNs

1 code implementation17 Jul 2022 Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi

We address the problem of people detection in RGB-D data where we leverage depth information to develop a region-of-interest (ROI) selection method that provides proposals to two color and depth CNNs.

Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things

no code implementations14 Jul 2022 Alessandro Masullo, Toby Perrett, Tilo Burghardt, Ian Craddock, Dima Damen, Majid Mirmehdi

We propose a novel approach to multimodal sensor fusion for Ambient Assisted Living (AAL) which takes advantage of learning using privileged information (LUPI).

Dynamic Curriculum Learning for Great Ape Detection in the Wild

1 code implementation30 Apr 2022 Xinyu Yang, Tilo Burghardt, Majid Mirmehdi

We propose a novel end-to-end curriculum learning approach that leverages large volumes of unlabelled great ape camera trap footage to improve supervised species detector construction in challenging real-world jungle environments.

object-detection Object Detection

TVNet: Temporal Voting Network for Action Localization

1 code implementation2 Jan 2022 Hanyuan Wang, Dima Damen, Majid Mirmehdi, Toby Perrett

This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accurately, where temporal contextual evidence is accumulated to predict frame-level probabilities of start and end action boundaries.

Action Localization

Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation

1 code implementation7 Dec 2021 Amirhossein Dadashzadeh, Alan Whone, Majid Mirmehdi

Our experimental results show superior results to the state of the art on both UCF101 and HMDB51 datasets when pretraining on K100 in apple-to-apple comparisons.

Auxiliary Learning Knowledge Distillation +1

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

1 code implementation12 Nov 2021 Mowen Xue, Theo Greenslade, Majid Mirmehdi, Tilo Burghardt

In particular, we show that the integration of a holistic attention network based super-resolution approach and a custom-built altitude data exploitation network into standard recognition pipelines can considerably increase the detection efficacy in real-world settings.

Super-Resolution

Unsupervised View-Invariant Human Posture Representation

no code implementations17 Sep 2021 Faegheh Sardari, Björn Ommer, Majid Mirmehdi

Most recent view-invariant action recognition and performance assessment approaches rely on a large amount of annotated 3D skeleton data to extract view-invariant features.

3D Action Recognition 3D Pose Estimation +4

Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment

no code implementations17 Dec 2020 Amirhossein Dadashzadeh, Alan Whone, Michal Rolinski, Majid Mirmehdi

We evaluate our proposed method on a dataset of 25 PD patients, obtaining 72. 3% and 77. 1% top-1 accuracy on hand movement and gait tasks respectively.

Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning

1 code implementation14 Oct 2020 Xinyu Yang, Majid Mirmehdi, Tilo Burghardt

In this paper we show that learning video feature spaces in which temporal cycles are maximally predictable benefits action classification.

Action Classification Action Recognition +1

VI-Net: View-Invariant Quality of Human Movement Assessment

no code implementations11 Aug 2020 Faegheh Sardari, Adeline Paiement, Sion Hannuna, Majid Mirmehdi

We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data.

3D Action Recognition Action Analysis +1

Meta-Learning with Context-Agnostic Initialisations

1 code implementation29 Jul 2020 Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen

This produces an initialisation for fine-tuning to target which is both context-agnostic and task-generalised.

Meta-Learning

Prediction of Thrombectomy Functional Outcomes using Multimodal Data

no code implementations26 May 2020 Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi

Recent randomised clinical trials have shown that patients with ischaemic stroke {due to occlusion of a large intracranial blood vessel} benefit from endovascular thrombectomy.

Weakly-Supervised Completion Moment Detection using Temporal Attention

no code implementations22 Oct 2019 Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen

In this work, we target detecting the completion moment of actions, that is the moment when the action's goal has been successfully accomplished.

Sit-to-Stand Analysis in the Wild using Silhouettes for Longitudinal Health Monitoring

no code implementations3 Oct 2019 Alessandro Masullo, Tilo Burghardt, Toby Perrett, Dima Damen, Majid Mirmehdi

We present the first fully automated Sit-to-Stand or Stand-to-Sit (StS) analysis framework for long-term monitoring of patients in free-living environments using video silhouettes.

STS

CaloriNet: From silhouettes to calorie estimation in private environments

no code implementations21 Jun 2018 Alessandro Masullo, Tilo Burghardt, Dima Damen, Sion Hannuna, Victor Ponce-López, Majid Mirmehdi

We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discarded and replaced by silhouettes.

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

2 code implementations14 Jun 2018 Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi, Majid Mirmehdi

We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture.

Hand Gesture Recognition Hand-Gesture Recognition +3

Semantically Selective Augmentation for Deep Compact Person Re-Identification

no code implementations11 Jun 2018 Víctor Ponce-López, Tilo Burghardt, Sion Hannunna, Dima Damen, Alessandro Masullo, Majid Mirmehdi

We present a deep person re-identification approach that combines semantically selective, deep data augmentation with clustering-based network compression to generate high performance, light and fast inference networks.

Data Augmentation Person Re-Identification +1

Action Completion: A Temporal Model for Moment Detection

1 code implementation17 May 2018 Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen

The paper proposes a joint classification-regression recurrent model that predicts completion from a given frame, and then integrates frame-level contributions to detect sequence-level completion moment.

General Classification regression

Detecting the Moment of Completion: Temporal Models for Localising Action Completion

no code implementations6 Oct 2017 Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen

Action completion detection is the problem of modelling the action's progression towards localising the moment of completion - when the action's goal is confidently considered achieved.

Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home

no code implementations27 Jul 2016 Lili Tao, Tilo Burghardt, Majid Mirmehdi, Dima Damen, Ashley Cooper, Sion Hannuna, Massimo Camplani, Adeline Paiement, Ian Craddock

We present a new framework for vision-based estimation of calorific expenditure from RGB-D data - the first that is validated on physical gas exchange measurements and applied to daily living scenarios.

Multiple Human Tracking in RGB-D Data: A Survey

no code implementations14 Jun 2016 Massimo Camplani, Adeline Paiement, Majid Mirmehdi, Dima Damen, Sion Hannuna, Tilo Burghardt, Lili Tao

Finally, we present a brief comparative evaluation of the performance of those works that have applied their methods to these datasets.

Cost-based Feature Transfer for Vehicle Occupant Classification

no code implementations22 Dec 2015 Toby Perrett, Majid Mirmehdi, Eduardo Dias

Knowledge of human presence and interaction in a vehicle is of growing interest to vehicle manufacturers for design and safety purposes.

Classification General Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.