342 citations · 787 across the 44 of their papers we have counts for
37 papers · 1 filter
R-CNN-Based Chess Position Recognition
Paras Govind, Ognjen Arandjelović
Performing chess game position recognition solely from a single image of a three-dimensional board requires predicting the position and orientation of the board relative to the cam…
Multimodal Latent Emotion Recognition from Micro-expression and Physiological Signals
Liangfei Zhang, Yifei Qian, Ognjen Arandjelovic +1
This paper discusses the benefits of incorporating multimodal data for improving latent emotion recognition accuracy, focusing on micro-expression (ME) and physiological signals (P…
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
Zhongliang Guo, Weiye Li, Yifei Qian +2
In this paper, we tackle the challenge of white-box false positive adversarial attacks on contrastive loss based offline handwritten signature verification models. We propose a nov…
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò +2
Traditional supervised learning tasks require a label for every instance in the training set, but in many real-world applications, labels are only available for collections (bags)…
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
Georg Wölflein, In Hwa Um, David J Harrison +1
The presence and density of specific types of immune cells are important to understand a patient's immune response to cancer. However, immunofluorescence staining required to ident…
Magnifying Networks for Images with Billions of Pixels
Neofytos Dimitriou, Ognjen Arandjelovic
The shift towards end-to-end deep learning has brought unprecedented advances in many areas of computer vision. However, deep neural networks are trained on images with resolutions…
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic +1
Being spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them. Due to their short duration and low intensi…
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning
Jessica Cooper, In Hwa Um, Ognjen Arandjelović +1
Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell…
Determining Chess Game State From an Image
Georg Wölflein, Ognjen Arandjelović
Identifying the configuration of chess pieces from an image of a chessboard is a problem in computer vision that has not yet been solved accurately. However, it is important for he…
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping
Jessica Cooper, Ognjen Arandjelović, David J Harrison
Understanding the predictions made by Artificial Intelligence (AI) systems is becoming more and more important as deep learning models are used for increasingly complex and high-st…
A New Look at Ghost Normalization
Neofytos Dimitriou, Ognjen Arandjelovic
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization. It is often assumed that the degradation in BatchNorm performance t…
Deep Learning for Whole Slide Image Analysis: An Overview
Neofytos Dimitriou, Ognjen Arandjelović, Peter D Caie
The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision,…
Understanding Ancient Coin Images
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.…
Synthesising Wider Field Images from Narrow-Field Retinal Video Acquired Using a Low-Cost Direct Ophthalmoscope (Arclight) Attached to a Smartphone
Keylor Daniel Chaves Viquez, Ognjen Arandjelovic, Andrew Blaikie +1
Access to low cost retinal imaging devices in low and middle income countries is limited, compromising progress in preventing needless blindness. The Arclight is a recently develop…
Achieving stable subspace clustering by post-processing generic clustering results
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). Our method starts by the computation of…
Learnt quasi-transitive similarity for retrieval from large collections of faces
Ognjen Arandjelovic
We are interested in identity-based retrieval of face sets from large unlabelled collections acquired in uncontrolled environments. Given a baseline algorithm for measuring the sim…
Highly accurate gaze estimation using a consumer RGB-depth sensor
Reza Shoja Ghiass, Ognjen Arandjelovic
Determining the direction in which a person is looking is an important problem in a wide range of HCI applications. In this paper we describe a highly accurate algorithm that perfo…
Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device
Warren Rieutort-Louis, Ognjen Arandjelovic
Visual recognition and vision based retrieval of objects from large databases are tasks with a wide spectrum of potential applications. In this paper we propose a novel recognition…
Automatic vehicle tracking and recognition from aerial image sequences
Ognjen Arandjelovic
This paper addresses the problem of automated vehicle tracking and recognition from aerial image sequences. Motivated by its successes in the existing literature focus on the use o…
Automatic Face Recognition from Video
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 cha…
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams
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. For example…
Groupwise registration of aerial images
Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image…
Viewpoint distortion compensation in practical surveillance systems
Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
Our aim is to estimate the perspective-effected geometric distortion of a scene from a video feed. In contrast to all previous work we wish to achieve this using from low-level, sp…
A unified framework for thermal face recognition
Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada +1
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. A particularly attractive advantag…