1 code implementation • ECCV 2020 • Urbano Miguel Nunes, Yiannis Demiris
We propose a novel EMin framework for event-based vision model estimation.
no code implementations • 26 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.
no code implementations • 16 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.
no code implementations • 22 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.
no code implementations • 6 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.
no code implementations • 23 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.
1 code implementation • 23 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.
no code implementations • 27 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.
no code implementations • 20 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.
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.
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.
Ranked #1 on Blink estimation on RT-BENE
no code implementations • 25 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.
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.
2 code implementations • 16 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.
no code implementations • 7 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.
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.
Ranked #1 on Gaze Estimation on RT-GENE
no code implementations • 19 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.
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.
Ranked #14 on Visual Object Tracking on VOT2017/18
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.
1 code implementation • 12 Jun 2017 • Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
2 code implementations • 12 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.
1 code implementation • 12 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.
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.
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.
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.