Sara Atito Ali Ahmed

Orcid: 0000-0002-7576-5791

Affiliations:
  • University of Surrey, Centre for Vision, Speech and Signal Processing, CVSSP, Guildford, UK
  • Sabanci University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey (PhD 2021)
  • Nile University, Egypt (2014)
  • TU Berlin, Germany (2014)
  • Sony Deutschland GmbH, Speech and Sound Group, Stuttgart, Germany (2013)


According to our database1, Sara Atito Ali Ahmed authored at least 43 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
One-pass View-unaligned Clustering.
IEEE Trans. Multim., 2024

ASiT: Local-Global Audio Spectrogram Vision Transformer for Event Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Self-supervised learning for RGB-D object tracking.
Pattern Recognit., 2024

View-shuffled clustering via the modified Hungarian algorithm.
Neural Networks, 2024

Rethinking Positive Pairs in Contrastive Learning.
CoRR, 2024

Probabilistically Aligned View-unaligned Clustering with Adaptive Template Selection.
CoRR, 2024

Investigating Self-Supervised Methods for Label-Efficient Learning.
CoRR, 2024

Pseudo Labelling for Enhanced Masked Autoencoders.
CoRR, 2024

Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Method.
CoRR, 2024

DailyMAE: Towards Pretraining Masked Autoencoders in One Day.
CoRR, 2024

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.
CoRR, 2024

Improved Image Captioning Via Knowledge Graph-Augmented Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning.
CoRR, 2023

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition.
CoRR, 2023

Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding.
CoRR, 2023

Variantional autoencoder with decremental information bottleneck for disentanglement.
CoRR, 2023

LT-ViT: A Vision Transformer for Multi-Label Chest X-Ray Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023

GMML is All You Need.
Proceedings of the IEEE International Conference on Image Processing, 2023

Group Masked Model Learning for General Audio Representation.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images.
Neurocomputing, 2022

ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation.
CoRR, 2022

SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays.
CoRR, 2022

GMML is All you Need.
CoRR, 2022

SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Face attribute classification with evidential deep learning.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

Relative attributes classification via transformers and rank SVM loss.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

2021
Deep learning ensembles for image understanding
PhD thesis, 2021

MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning.
CoRR, 2021

Global Interaction Modelling in Vision Transformer via Super Tokens.
CoRR, 2021

COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches.
CoRR, 2021

SiT: Self-supervised vIsion Transformer.
CoRR, 2021

Deep Convolutional Neural Network Ensembles Using ECOC.
IEEE Access, 2021

YFCC-CelebA Face Attributes Datasets.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020
Relative Attribute Classification with Deep Rank SVM.
CoRR, 2020

ECOC as a Method of Constructing Deep Convolutional Neural Network Ensembles.
CoRR, 2020

Skin Lesion Classification With Deep CNN Ensembles.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Skin Lesion Diagnosis with Imbalanced ECOC Ensembles.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Relative Attribute Classification with Deep-RankSVM.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Within-Network Ensemble for Face Attributes Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Plant Identification with Deep Learning Ensembles.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017.
Proceedings of the Working Notes of CLEF 2017, 2017


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