Important dates: Registration is already open
SSRBC 2023 Website: https://sites.google.com/hyderabad.bits-pilani.ac.in/ssrbc2023/home
How to participate?
Registration for the competition can be done by email. If you would like to register and receive the training dataset, please send an email to abhijit.das@hyderabad.bits-pilani.ac.in with the subject line as “SSRBC 2023 registration” with the following information:
Name, Affiliation, Email, Phone number, CV , Mailing Address and signed version of the following form .
Organizers :
Dr. Abhijit Das, BITS Pilani, Hyderabad, India (abhijit.das@hyderabad.bits-pilani.ac.in)
Dr. Aritra Mukherjee, BITS Pilani, , Hyderabad, India (a.mukherjee@hyderabad.bits-pilani.ac.in)
Prof. Umapada Pal, Indian Statistical Institute, Kolkata, India (umapada@isical.ac.in )
Prof. Peter Peer, University of Ljubljana, Ljubljana, Slovenija (peter.peer @fri.uni-lj.si)
Assoc. Prof. Vitomir Štruc , University of Ljubljana, Ljubljana, Slovenija (vitomir.struc @fe.uni-lj.si)
Execution
Description of the dataset(s) used for the competition and the available annotations
The competition aims to benchmark the sclera segmentation and recognition tasks with a dataset containing both low and high-resolution images. Three different datasets will be employed for the competition, where two were acquired with a DSLR camera and one by a mobile camera.
The first dataset, i.e, the multi-angle sclera dataset (MASD), consists of 2624 RGB images taken from 82 identities. Images were collected from both the eyes of each individual, so there are 164 different eyes in total in the dataset. For each individual image, four gaze directions (looking straight, left, right and up) were captured and for each direction 4 images were taken. The subjects from the database are both male and female and with different eye colors, few of them are wearing contact lenses and images were taken at different times of the day. The database contains images with blinking eyes, closed eyes and blurred eyes. High-resolution images stored in JPEG format are provided in the database (7500 x 5000 dimensions). A NIKON D 800 camera and 28300 lenses were used for image capturing. A ground truth or manual sclera segmentation of this dataset is also available. For development purposes, a subset of the database, both eye images and ground truth (1 image for each angle/gaze of the first 30 subjects, i.e. 120 images in total) will be provided to the participants.
The second dataset, the Mobile sclera dataset (MSD), consists of 500 RGB images from both eyes of 25 individuals (in other words 50 different eyes). For each eye, 10 images were captured. The database contains blurred images and images with blinking eyes. The individuals comprise both males and females (12 males and 13 females), of different ages and different skin colors, 2 of them were wearing contact lenses and the images were taken at different times of the day. Variation in image quality (blur, lighting condition etc.) and different acquisition conditions was included intentionally in the database to investigate the performance of the framework in non-ideal scenarios. High-resolution images (3264 × 2448) of 96 dpi are included in the database. All the images are in JPEG format. The images were captured using a mobile camera with an 8-megapixel rear camera.
The third dataset, SBVPI, consists of 1858 RGB images of 110 eyes (i.e., 55 subjects) captured with a DSLR camera (specifically, a Canon EOS 60D with macro lenses). All images were manually cropped to extract the desired ROI while maintaining their aspect ratio, then rescaled to 3000 × 1700 pixels to maintain a consistent image size across the entire dataset. Images in the dataset were captured at the highest resolution and quality settings available in the camera and in a laboratory environment. The dataset contains images taken under 4 different gaze directions, with a minimum of 4 images per direction for each subject. The appearance variability in SBVPI is due to identity, eye color, gender, and age. Manually generated markups of the sclera and periocular regions are present for all images. SBVPI is publicly available for research purposes.
Details on the experimental protocol and result generation/submission procedure,
The competition will address two problems of relevance to IJCB 2023, sclera segmentation and recognition, and will be organized around three tasks:
● Segmentation task: for the segmentation task, participants will have to learn segmentation models on the MASD datasets and then test them on the MSD and SBVPI datasets. Complete algorithms will have to be submitted for scoring. The final performance evaluation will be conducted by the organizers.
● Recognition task: for the recognition task, the participants will be asked to develop recognition models on the MASD datasets and then submit the trained models for scoring to the organizers. The performance evaluation will be conducted on the sequestered MSD and SBVPI dataset. In this case, the manually generated (ground truth) segmentation mask will be used to get the ROI before subjecting the images to the recognition/feature extraction models..
● Joint segmentation and Recognition task: for the joint segmentation-recognition task, the participants will be asked to develop segmentation as well as recognition models on the MASD datasets and then submit the trained models for scoring to the organizers. The performance evaluation will be conducted on the sequestered MSD and SBVPI dataset. In this case, the segmentation masks generated by the models of the participants will be used to extract the ROI. To ensure the models are only trained on the vasculature of the sclera, the segmentation masks generated by the segmentation models will be used to remove all parts of the images that do not belong to the sclera prior to subjecting images to the recognition model/feature extractor.
Description of the evaluation criteria (performance metrics) and available baseline implementations/code (e.g., a starter kit).
● Segmentation task: The evaluation measures will be precision and recall (recall will consider the prior measure for ranking the algorithms). The ground truth of the manually segmented sclera region in an eye image is constructed, which will be used as a baseline.
● Recognition task: For the recognition task, we will consider verification experiments and report the Area Under the ROC Curve (AUC) as our main competition metric. For the summary paper, other relevant performance indicators will also be reported.
A detailed timeline for the competition:
● Site opens 14th Feb 2023
● Registration starts 14th Feb 2023
● Test dataset available 28th Feb 2023
● Registration closes 10th May 2023
● Algorithm submission deadline 10th May 2023
● Results and report announcement 15th May 2023
Relevant publications
● M. Vitek, A.Das et al., “Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach,” in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 190-205, 2023, doi: 10.1109/TIFS.2022.3216468.
● V. Matej, A. Das et al. , SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment, IJCB 2020.
● A. Das, U Pal, M. Blumenstein, C. Wang, Y. He, Y. Zhu, Z. Sun, Sclera Segmentation Benchmarking Competition in Cross-resolution Environment, ICB 2019.
The Open Deep Learning Toolkit for Robotics Version 2.1 is already available !!
March 14th, 2023 
Daniela Lopez de Luise already available only just two months after the toolkit version 2.0
release!
This new version of the toolkit includes the following updates:
New Features:
– Added Efficient LiDAR Panoptic Segmentation
– Added Nanodet 2D Object Detection tool
– Added C API implementations of NanoDet 2D Object Detection tool
– Added C API implementations of forward pass of DETR 2D Object Detection tool
– Added C API implementations of forward pass of DeepSORT 2D Object
Tracking tool
– Added C API implementations of forward pass of Lightweight OpenPose,
Pose Estimator tool
– Added C API implementations of forward pass of X3D 2D Activity
Recognition tool
– Added C API implementations of forward pass of Progressive
Spatiotemporal GCN Skeleton-based Action Recognition tool
– Added Binary High Resolution Analysis tool
– Added Multi-Object-Search tool
Enhancements:
– Added support in C API for detection target structure and vector of
detections
– Added support in C API for tensor structure and vector of tensors
– Added support in C API for json parser
You can download the toolkit here:
– GitHub: https://github.com/opendr-eu/opendr
– pip: https://pypi.org/project/opendr-toolkit/
– Docker Hub: https://hub.docker.com/r/opendr/opendr-toolkit/tags
We look forward to receiving your feedback, bug reports, and
suggestions for improvements at https://github.com/opendr-eu/opendr !
For more information about the project, you can visit OpenDR website:
https://opendr.eu/
OpenDR Team
This project has received funding from the Horizon 2020 programme
under grant agreement No 871449.
GeoLifeCLEF23 competition, until May 17th
March 14th, 2023 Daniela Lopez de Luise Expert Talk on Multimodal Transformers with Hubert Ramsauer
March 14th, 2023 Daniela Lopez de Luise Our expert speakers will be discussing a wide range of topics within AI, from the latest research and development to practical applications and their impact on society.
We invite you to join us for this exciting event and participate in the conversation on the future of AI. This event will be held entirely online so everyone can join.
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DSP 2023 – Deadline extended to 18 March 2023
March 14th, 2023 Daniela Lopez de Luise DSP 2023
24th International Conference on Digital Signal Processing
11-13 June 2023, Island of Rhodes, Greece
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IMPORTANT DATES
• Submission of full papers – March 18, 2023
• Notification of acceptance – April 11, 2023
• Author advance registration – April 22, 2023
• Camera-ready paper submission – May 11, 2023
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The 24th International Conference on Digital Signal Processing (DSP 2023), technically co-sponsored by IEEE Signal Processing Society and EURASIP, will be held June 11-13, 2023 on the island of Rhodes, Greece. It is the longest in existence Conference in the area of DSP and belongs to a series of events that commenced from London in 1967 and continued to Florence, Nicosia, Limassol, Santorini, Cardiff, Corfu, Hong-Kong, Singapore, Beijing, and Shanghai. It returns back to Greece after ten years; DSP 2013 took place on Santorini island. It will bring together leading experts from academia and industry to share the most recent and exciting advances in the general area of digital signal processing and analysis.
DSP 2023 addresses the theory and application of filtering, coding, transmitting, estimating, detecting, analysing, recognising, synthesising, recording, and reproducing signals by means of digital devices or techniques. The term “signal” includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and any other type of signal. This includes primarily those areas listed under all EDICS categories of the IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing.
The program will include presentations on novel research theories / applications / results in lecture, poster and plenary sessions. Special Sessions organised by internationally recognised experts in the area constitute the basis of DSP conferences.
Topics of interest include, but are not limited to:
Biomedical Signal Processing
• Biomedical Signal and Image Processing
• Brain-Computer Interface
• Genomic Signal Processing
• Signal Processing in Genomics and Proteomics
Digital and Multirate Signal Processing
• Adaptive Signal Processing
• Digital and Multirate Signal Processing
• Digital Filter Design and Implementation
• Multidimensional Filters and Transforms
• Multiresolution Signal Processing
• Multiway Signal Processing
• Theory and Applications of Transforms
• Time-Frequency Analysis and Representation
• Statistical Signal Processing
Sensor Array and Multichannel Processing
• Array Signal Processing
• Signal Processing for Smart Sensors and Systems
• Compressive Sensing
Signal Processing for Communications
• Geophysical/Radar/Sonar Signal Processing
• MIMO Signal Processing
Signal Processing for Audio/Image/Video
• Audio/Speech/Music Processing & Coding
• Digital Photography
• HDR Imaging
• Image and Multidimensional Signal Processing
• Image/Video Indexing, Search and Retrieval
• Image/Video Compression and Coding Standards
• Image/Video Content Analysis
• Image/Video Processing Techniques
• 3D Image Processing and Applications
• Mobile Imaging and Image Quality
• Real-Time Signal/Image/Video Processing
• Video Surveillance and Transportation Imaging
• Digital Watermarking and Data Hiding
Other Areas and Applications
• Big Data
• Cognitive Signal Processing
• DSP Education
• Nonlinear Signals and Systems
• Information Forensics and Security
• Internet of Things (IoT)
• Social Signal Processing & Affective Computing
• Signal and System Modelling
• Signal Processing of Financial Data
• VLSI Architectures and Implementations for DSP
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PAPER SUBMISSION (Submission is OPEN at https://2023.ic-dsp.org/author-kit/ )
The language of the Conference is English. Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures, tables, references and one optional 5th page containing references only). IEEE templates for the paper format, and “no show” policy do apply. Authors should indicate one or more of the above listed categories that best describe the topic of the paper, as well as their preference (if any) regarding lecture or poster presentation. Lecture and poster sessions are treated equally in terms of the review process. Submitted papers will be peer-reviewed by at least two experts in the field. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. In addition to the technical program, a social program will be offered to the participants and their companions. It will provide an opportunity to meet colleagues and friends against a backdrop of outstanding natural beauty and rich cultural heritage in one of the best-known international tourist destinations, the Island of Sun, Rhodes.
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ORGANISING COMMITTEE
Honorary Chair
Anthony G. Constantinides, UK
General Chair
Athanassios N. Skodras, GR
General Co-Chair
Danilo Mandic, UK
Constantinides Track Chair
fred harris, US
Technical Program Chair
Adrian Munteanu, BE
Awards Chairs
Constantinos S. Pattichis, CY
Saeid Sanei, UK
Plenary Sessions Chairs
Marc Antonini, FR
Jonathon Chambers, UK
Special Sessions Chairs
Angelo Genovese, IT
Marios S. Pattichis, USA
Early Career Researcher Chair
Stefan Vlaski, UK
Women in SP Chair
Tania Stathaki, UK
Publicity Chairs
Efe Bozkir, DE
Dimitris Ampeliotis, GR
Melpomeni Dimopoulou, FR
Publications Chair
Vassilis Fotopoulos, GR
Industrial Liaisons
Ioannis Katsavounidis, US
George Lambropoulos, CA
Béatrice Pesquet-Popescu, FR
Mahsa Pourazad, UK
Andreas Spanias, US
Christian Timmerer, AT
International Liaisons
Jing Dong, CN
Alex Kot, SG
Vincenzo Piuri, IT
W. C. Siu, HK
Advisory Board
Moncef Gabbouj, FI
Kin K. Leung, UK
Thrasos Pappas, US
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IMPORTANT DATES
• Submission of full papers – March 18, 2023
• Notification of acceptance – April 11, 2023
• Author advance registration – April 22, 2023
• Camera-ready paper submission – May 11, 2023
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