Search Results for author: Yiannis Demiris

Found 25 papers, 11 papers with code

Self-Supervised RGB-T Tracking with Cross-Input Consistency

no code implementations26 Jan 2023 Xingchen Zhang, Yiannis Demiris

We propose a novel cross-input consistency-based self-supervised training strategy based on the idea that tracking can be performed using different inputs.

Rgb-T Tracking

Hearables: Ear EEG Based Driver Fatigue Detection

no code implementations16 Jan 2023 Metin C. Yarici, Pierluigi Amadori, Harry Davies, Takashi Nakamura, Nico Lingg, Yiannis Demiris, Danilo P. Mandic

Ear EEG based driver fatigue monitoring systems have the potential to provide a seamless, efficient, and feasibly deployable alternative to existing scalp EEG based systems, which are often cumbersome and impractical.

Electroencephalogram (EEG)

On Specifying for Trustworthiness

no code implementations22 Jun 2022 Dhaminda B. Abeywickrama, Amel Bennaceur, Greg Chance, Yiannis Demiris, Anastasia Kordoni, Mark Levine, Luke Moffat, Luc Moreau, Mohammad Reza Mousavi, Bashar Nuseibeh, Subramanian Ramamoorthy, Jan Oliver Ringert, James Wilson, Shane Windsor, Kerstin Eder

The main contribution of this article is a set of high-level intellectual challenges for the autonomous systems community related to specifying for trustworthiness.

Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision

no code implementations6 Oct 2021 Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera, Fan Zhang, Yurun Tian, Antonio Agudo, Yiannis Demiris, Krystian Mikolajczyk, Francesc Moreno-Noguer

We show that training our network solely with synthetic data and the proposed DA yields results competitive with models trained on real data.

Domain Adaptation

Continuous Non-Invasive Eye Tracking In Intensive Care

no code implementations23 Jul 2021 Ahmed Al-Hindawi, Marcela Paula Vizcaychipi, Yiannis Demiris

The system's performance was measured in a replicated laboratory environment with healthy volunteers revealing an accuracy and precision that outperforms what is required while simultaneously being non-invasive and calibration-free The system was then deployed as part CONfuSED, a clinical feasibility study where we report aggregated data from 5 patients as well as the acceptability of the system to bedside nursing staff.

Disentangled Sequence Clustering for Human Intention Inference

1 code implementation23 Jan 2021 Mark Zolotas, Yiannis Demiris

To overcome this constraint, we propose the Disentangled Sequence Clustering Variational Autoencoder (DiSCVAE), a clustering framework capable of learning such a distribution of intent in an unsupervised manner.


D2D: Keypoint Extraction with Describe to Detect Approach

no code implementations27 May 2020 Yurun Tian, Vassileios Balntas, Tony Ng, Axel Barroso-Laguna, Yiannis Demiris, Krystian Mikolajczyk

In this paper, we present a novel approach that exploits the information within the descriptor space to propose keypoint locations.

3D Reconstruction

Support-weighted Adversarial Imitation Learning

no code implementations20 Feb 2020 Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris

To address the challenges, we propose Support-weighted Adversarial Imitation Learning (SAIL), a general framework that extends a given AIL algorithm with information derived from support estimation of the expert policies.

Imitation Learning

Structured Prediction for Conditional Meta-Learning

1 code implementation NeurIPS 2020 Ruohan Wang, Yiannis Demiris, Carlo Ciliberto

We derive task-adaptive structured meta-learning (TASML), a principled framework that yields task-specific objective functions by weighing meta-training data on target tasks.

Few-Shot Learning Structured Prediction

RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in Natural Environments

1 code implementation IEEE International Conference on Computer Vision Workshops 2019 Kévin Cortacero, Tobias Fischer, Yiannis Demiris

We further incorporate our proposed RT-BENE baselines in the recently presented RT-GENE gaze estimation framework where it provides a real-time inference of the openness of the eyes.

Blink estimation Gaze Estimation

Support-guided Adversarial Imitation Learning

no code implementations25 Sep 2019 Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris

We propose Support-guided Adversarial Imitation Learning (SAIL), a generic imitation learning framework that unifies support estimation of the expert policy with the family of Adversarial Imitation Learning (AIL) algorithms.

Imitation Learning

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold

no code implementations CVPR 2017 YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi

(iii) The proposed regression is embedded into a generative model, and the whole procedure is developed by the variational autoencoder framework.


Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation

2 code implementations16 May 2019 Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris

We consider the problem of imitation learning from a finite set of expert trajectories, without access to reinforcement signals.

Imitation Learning reinforcement-learning +1

Real-Time Workload Classification during Driving using HyperNetworks

no code implementations7 Oct 2018 Ruohan Wang, Pierluigi V. Amadori, Yiannis Demiris

Classifying human cognitive states from behavioral and physiological signals is a challenging problem with important applications in robotics.

Classification General Classification

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

1 code implementation ECCV 2018 Tobias Fischer, Hyung Jin Chang, Yiannis Demiris

We first record a novel dataset of varied gaze and head pose images in a natural environment, addressing the issue of ground truth annotation by measuring head pose using a motion capture system and eye gaze using mobile eyetracking glasses.

Gaze Estimation Image Inpainting

Hierarchical Behavioral Repertoires with Unsupervised Descriptors

no code implementations19 Apr 2018 Antoine Cully, Yiannis Demiris

This paper presents a step in this direction with hierarchical behavioral repertoires that stack several behavioral repertoires to generate sophisticated behaviors.

Context-aware Deep Feature Compression for High-speed Visual Tracking

1 code implementation CVPR 2018 Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi

We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers.

Denoising Feature Compression +2

Attentional Correlation Filter Network for Adaptive Visual Tracking

1 code implementation IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi

We propose a new tracking framework with an attentional mechanism that chooses a subset of the associated correlation filters for increased robustness and computational efficiency.

Visual Object Tracking Visual Tracking

Quality and Diversity Optimization: A Unifying Modular Framework

2 code implementations12 May 2017 Antoine Cully, Yiannis Demiris

Secondly, we propose algorithms with a new selection mechanism for Quality-Diversity algorithms that outperforms all the algorithms tested in this paper.


MAGAN: Margin Adaptation for Generative Adversarial Networks

1 code implementation12 Apr 2017 Ruohan Wang, Antoine Cully, Hyung Jin Chang, Yiannis Demiris

We propose the Margin Adaptation for Generative Adversarial Networks (MAGANs) algorithm, a novel training procedure for GANs to improve stability and performance by using an adaptive hinge loss function.

Image Generation

Visual Tracking Using Attention-Modulated Disintegration and Integration

no code implementations CVPR 2016 Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi

In this paper, we present a novel attention-modulated visual tracking algorithm that decomposes an object into multiple cognitive units, and trains multiple elementary trackers in order to modulate the distribution of attention according to various feature and kernel types.

Visual Tracking

Kinematic Structure Correspondences via Hypergraph Matching

no code implementations CVPR 2016 Hyung Jin Chang, Tobias Fischer, Maxime Petit, Martina Zambelli, Yiannis Demiris

In this paper, we present a novel framework for finding the kinematic structure correspondence between two objects in videos via hypergraph matching.

Hypergraph Matching

Unsupervised Learning of Complex Articulated Kinematic Structures Combining Motion and Skeleton Information

no code implementations CVPR 2015 Hyung Jin Chang, Yiannis Demiris

The iterative merge process is guided by a skeleton distance function which is generated from a novel object boundary generation method from sparse points.

Motion Segmentation

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