no code implementations • 14 Dec 2023 • Avelina Asada Hadji-Kyriacou, Ognjen Arandjelovic
This paper introduces a novel Parameter-Efficient Fine-Tuning (PEFT) framework for multi-modal, multi-task transfer learning with pre-trained language models.
no code implementations • 23 Aug 2023 • Liangfei Zhang, Yifei Qian, Ognjen Arandjelovic, Anthony Zhu
Experimental results show that the proposed approach outperforms the benchmark method, with the weighted fusion method and guided attention modules both contributing to enhanced performance.
no code implementations • 12 Dec 2021 • Neofytos Dimitriou, Ognjen Arandjelovic
However, deep neural networks are trained on images with resolutions that rarely exceed $1, 000 \times 1, 000$ pixels.
no code implementations • 10 Dec 2021 • Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic, Guoying Zhao
Being spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them.
Micro Expression Recognition Micro-Expression Recognition +1
no code implementations • 1 Jan 2021 • Neofytos Dimitriou, Ognjen Arandjelovic
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization.
no code implementations • 16 Jul 2020 • Neofytos Dimitriou, Ognjen Arandjelovic
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization.
no code implementations • 7 Mar 2019 • Jessica Cooper, Ognjen Arandjelovic
In recent years, a range of problems within the broad umbrella of automatic, computer vision based analysis of ancient coins has been attracting an increasing amount of attention.
no code implementations • 10 Feb 2019 • Xingzhi Yue, Neofytos Dimitriou, Ognjen Arandjelovic
Digital pathology (DP) is a new research area which falls under the broad umbrella of health informatics.
no code implementations • 26 Aug 2017 • Keylor Daniel Chaves Viquez, Ognjen Arandjelovic, Andrew Blaikie, In Ae Hwang
Access to low cost retinal imaging devices in low and middle income countries is limited, compromising progress in preventing needless blindness.
no code implementations • 27 May 2016 • Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh
We propose an effective subspace selection scheme as a post-processing step to improve results obtained by sparse subspace clustering (SSC).
no code implementations • 16 May 2016 • Victor Andrei, Ognjen Arandjelovic
The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising research directions.
no code implementations • 5 Apr 2016 • Reza Shoja Ghiass, Ognjen Arandjelovic
The method we propose starts by performing accurate head pose estimation achieved by fitting a person specific morphable model of the face to depth data.
no code implementations • 16 Mar 2016 • Warren Rieutort-Louis, Ognjen Arandjelovic
In this paper we propose a novel recognition method from video sequences suitable for retrieval from databases acquired in highly unconstrained conditions e. g. using a mobile consumer-level device such as a phone.
no code implementations • CVPR 2016 • Ognjen Arandjelovic
We are interested in identity-based retrieval of face sets from large unlabelled collections acquired in uncontrolled environments.
no code implementations • 27 Feb 2016 • Ieva Vasiljeva, Ognjen Arandjelovic
Large amounts of electronic medical records collected by hospitals across the developed world offer unprecedented possibilities for knowledge discovery using computer based data mining and machine learning.
no code implementations • 25 Dec 2015 • Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung, Svetha Venkatesh
In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension.
no code implementations • 23 Jun 2015 • Ognjen Arandjelovic
This paper addresses the problem of automated vehicle tracking and recognition from aerial image sequences.
no code implementations • 21 Apr 2015 • Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
Our aim is to estimate the perspective-effected geometric distortion of a scene from a video feed.
no code implementations • 21 Apr 2015 • Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
This paper addresses the task of time separated aerial image registration.
no code implementations • 21 Apr 2015 • Ognjen Arandjelovic
The objective of this work is to automatically recognize faces from video sequences in a realistic, unconstrained setup in which illumination conditions are extreme and greatly changing, viewpoint and user motion pattern have a wide variability, and video input is of low quality.
no code implementations • 21 Apr 2015 • Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
The need to estimate a particular quantile of a distribution is an important problem which frequently arises in many computer vision and signal processing applications.
no code implementations • 8 Feb 2015 • Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung, Svetha Venkatesh
In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension.
no code implementations • 14 Nov 2014 • Ognjen Arandjelovic
Clinical trial adaptation refers to any adjustment of the trial protocol after the onset of the trial.
no code implementations • 28 Jul 2014 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice.
no code implementations • 28 Jun 2014 • Ognjen Arandjelovic
Our approach is based on the interpretation of an inter-pattern distance as implicitly defining a pattern embedding which approximately distributes patterns according to an isotropic multi-variate normal distribution in some space.
no code implementations • 31 Jan 2014 • Ognjen Arandjelovic
Linear subspace representations of appearance variation are pervasive in computer vision.
no code implementations • 29 Jan 2014 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications.
no code implementations • 20 Jun 2013 • Ognjen Arandjelovic
In contrast to most scientific disciplines, sports science research has been characterized by comparatively little effort investment in the development of relevant phenomenological models.
no code implementations • 14 Jun 2013 • Ognjen Arandjelovic
However, no previous work has attempted to achieve a holistic treatment of the problem by jointly using textural and shape features which is what we describe herein.
no code implementations • 14 Jun 2013 • Ognjen Arandjelovic
This report describes the design, implementation, evaluation and original enhancements to the Live-Wire method for 2D and 3D image segmentation.
no code implementations • 10 Jun 2013 • Ognjen Arandjelovic
Our second major contribution is to show that in contrast to CCA, E-CCA is readily adapted to match sets in a discriminative learning scheme which we call discriminative extended canonical correlation analysis (DE-CCA).
no code implementations • 10 Jun 2013 • Ognjen Arandjelovic
The k-means algorithm is a partitional clustering method.
no code implementations • 7 Jun 2013 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
To overcome the problem of thermal IR image sensitivity to the pattern of facial temperature emissions we describe a representation based on reliable anatomical features.
no code implementations • 7 Jun 2013 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision.
no code implementations • 7 Jun 2013 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in practice.
no code implementations • NeurIPS 2012 • Ognjen Arandjelovic
The current standard is follow up the trial with an auxiliary questionnaire, which allows trial participants to express their belief concerning the assigned intervention and which is used to compute a measure of the extent of blinding in the trial.