Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017. - Sara Atito 001; Berrin A. Yanikoglu; Erchan Aptoula (CLEF (Working Notes), 2017)

Plant Identification with Deep Learning Ensembles. - Sara Atito 001; Berrin A. Yanikoglu; Erchan Aptoula; Ipek Ganiyusufoglu; Aras Yildiz; Kerem Yildirir; Baris Sevilmis; Mehmet Umut Sen (CLEF (Working Notes), 2018)

Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Sara Atito Ali Ahmed; Serap Aydin; Müjdat Çetin (EMBC, 2019)

Within-Network Ensemble for Face Attributes Classification. - Sara Atito Ali Ahmed; Berrin A. Yanikoglu (ICIAP (1), 2019)

Relative Attribute Classification with Deep-RankSVM. - Sara Atito Ali Ahmed; Berrin A. Yanikoglu (ICPR Workshops (2), 2020)

Skin Lesion Diagnosis with Imbalanced ECOC Ensembles. - Sara Atito Ali Ahmed; Berrin A. Yanikoglu; Cemre Zor; Muhammad Awais 001; Josef Kittler (LOD (2), 2020)

Skin Lesion Classification With Deep CNN Ensembles. - Sara Atito Ali Ahmed; Berrin A. Yanikoglu; Özgü Göksu; Erchan Aptoula (SIU, 2020)

ECOC as a Method of Constructing Deep Convolutional Neural Network Ensembles. - Sara Atito Ali Ahmed; Cemre Zor; Berrin A. Yanikoglu; Muhammad Awais 001; Josef Kittler (CoRR, 2020)

Relative Attribute Classification with Deep Rank SVM. - Sara Atito Ali Ahmed; Berrin A. Yanikoglu (CoRR, 2020)

YFCC-CelebA Face Attributes Datasets. - Mehmet Can Yavuz; Sara Atito Ali Ahmed; Mehmet Efe Kisaaga; Hasan Ocak; Berrin A. Yanikoglu (SIU, 2021)

Deep Convolutional Neural Network Ensembles Using ECOC. - Sara Atito Ali Ahmed; Cemre Zor; Muhammad Awais 001; Berrin A. Yanikoglu; Josef Kittler (IEEE Access, 2021)

SiT: Self-supervised vIsion Transformer. - Sara Atito Ali Ahmed; Muhammad Awais 001; Josef Kittler (CoRR, 2021)

COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches. - Sara Atito Ali Ahmed; Mehmet Can Yavuz; Mehmet Umut Sen; Fatih Gulsen; Onur Tutar; Bora Korkmazer; Cesur Samanci; Sabri Sirolu; Rauf Hamid; Ali Ergun Eryurekli; Toghrul Mammadov; Berrin A. Yanikoglu (CoRR, 2021)

Global Interaction Modelling in Vision Transformer via Super Tokens. - Ammarah Farooq; Muhammad Awais 001; Sara Atito Ali Ahmed; Josef Kittler (CoRR, 2021)

MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning. - Sara Atito Ali Ahmed; Muhammad Awais 001; Ammarah Farooq; Zhenhua Feng 001; Josef Kittler (CoRR, 2021)

Deep learning ensembles for image understanding - Sara Atito Ali Ahmed (2021)

Relative attributes classification via transformers and rank SVM loss. - Sara Atito Ali Ahmed; Berrin Yanikoglu (ICMV, 2022)

Face attribute classification with evidential deep learning. - Arin Zeyneloglu; Sara Atito Ali Ahmed; Berrin Yanikoglu (ICMV, 2022)

SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI. - Sara Atito 001; Syed Muhammad Anwar; Muhammad Awais 001; Josef Kittler (MILLanD@MICCAI, 2022)

GMML is All you Need. - Sara Atito 001; Muhammad Awais 001; Josef Kittler (CoRR, 2022)

SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays. - Syed Muhammad Anwar; Abhijeet Parida; Sara Atito 001; Muhammad Awais 001; Gustavo Nino; Josef Kittler; Marius George Linguraru (CoRR, 2022)

ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation. - Sara Atito 001; Muhammad Awais 001; Wenwu Wang 001; Mark D. Plumbley; Josef Kittler (CoRR, 2022)

Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images. - Sara Atito Ali Ahmed; Mehmet Can Yavuz; Mehmet Umut Sen; Fatih Gulsen; Onur Tutar; Bora Korkmazer; Cesur Samanci; Sabri Sirolu; Rauf Hamid; Ali Ergun Eryurekli; Toghrul Mammadov; Berrin A. Yanikoglu (Neurocomputing, 2022)

Group Masked Model Learning for General Audio Representation. - Sara Atito 001; Muhammad Awais 001; Tony Alex; Josef Kittler (ICIP, 2023)

GMML is All You Need. - Sara Atito 001; Muhammad Awais 001; Srinivasa Rao Nandam; Josef Kittler (ICIP, 2023)

LT-ViT: A Vision Transformer for Multi-Label Chest X-Ray Classification. - Umar Marikkar; Sara Atito 001; Muhammad Awais 001; Adam Mahdi (ICIP, 2023)

Variantional autoencoder with decremental information bottleneck for disentanglement. - Jiantao Wu; Shentong Mo; Muhammad Awais 001; Sara Atito 001; Xingshen Zhang; Lin Wang 004; Xiang Yang (CoRR, 2023)

Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding. - Jiantao Wu; Shentong Mo; Muhammad Awais 001; Sara Atito 001; Zhenhua Feng 001; Josef Kittler (CoRR, 2023)

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition. - Cong Wu 006; Xiao-Jun Wu 001; Josef Kittler; Tianyang Xu; Sara Atito 001; Muhammad Awais 001; Zhenhua Feng 001 (CoRR, 2023)

Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning. - Jiantao Wu; Shentong Mo; Sara Atito 001; Josef Kittler; Zhenhua Feng 001; Muhammad Awais 001 (CoRR, 2023)

Pseudo Labelling for Enhanced Masked Auto Encoders. - Srinivasa Rao Nandam; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Muhammad Awais 001 (BMVC, 2024)

C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition. - Rongchang Li 001; Zhenhua Feng 001; Tianyang Xu; Linze Li 002; Xiaojun Wu 001; Muhammad Awais 001; Sara Atito Ali Ahmed; Josef Kittler (ECCV (38), 2024)

DailyMAE: Towards Pretraining Masked Autoencoders in One Day. - Jiantao Wu; Shentong Mo; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Muhammad Awais 001 (ECCV Workshops (11), 2024)

Improved Image Captioning Via Knowledge Graph-Augmented Models. - Sergio Sánchez Santiesteban; Sara Atito 001; Muhammad Awais 001; Yi-Zhe Song; Josef Kittler (ICASSP, 2024)

SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model. - Syed Muhammad Anwar; Abhijeet Parida; Sara Atito 001; Muhammad Awais 001; Gustavo Nino; Josef Kittler; Marius George Linguraru (ICIP, 2024)

Masked Momentum Contrastive Learning for Semantic Understanding by Observation. - Jiantao Wu; Shentong Mo; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Syed Sameed Husain; Muhammad Awais 001 (ICIP, 2024)

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies. - Abhijeet Parida; Daniel Capellán-Martín; Sara Atito 001; Muhammad Awais 001; María J. Ledesma-Carbayo; Marius George Linguraru; Syed Muhammad Anwar (CoRR, 2024)

Pseudo Labelling for Enhanced Masked Autoencoders. - Srinivasa Rao Nandam; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Muhammad Awais 001 (CoRR, 2024)

Probabilistically Aligned View-unaligned Clustering with Adaptive Template Selection. - Wenhua Dong; Xiaojun Wu 001; Zhenhua Feng 001; Sara Atito 001; Muhammad Awais 001; Josef Kittler (CoRR, 2024)

Rethinking Positive Pairs in Contrastive Learning. - Jiantao Wu; Shentong Mo; Zhenhua Feng 001; Sara Atito Ali Ahmed; Josef Kittler; Muhammad Awais 001 (CoRR, 2024)

View-shuffled clustering via the modified Hungarian algorithm. - Wenhua Dong; Xiaojun Wu 001; Tianyang Xu; Zhenhua Feng 001; Sara Atito Ali Ahmed; Muhammad Awais 001; Josef Kittler (Neural Networks, 2024)

Self-supervised learning for RGB-D object tracking. - Xuefeng Zhu; Tianyang Xu; Sara Atito 001; Muhammad Awais 001; Xiaojun Wu 001; Zhenhua Feng 001; Josef Kittler (Pattern Recognit., 2024)

ASiT: Local-Global Audio Spectrogram Vision Transformer for Event Classification. - Sara Atito Ali Ahmed; Muhammad Awais 001; Wenwu Wang 001; Mark D. Plumbley; Josef Kittler (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

One-pass View-unaligned Clustering. - Wenhua Dong; Xiaojun Wu 001; Zhenhua Feng 001; Sara Atito Ali Ahmed; Muhammad Awais 001; Josef Kittler (IEEE Trans. Multim., 2024)

One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion. - Chunyang Cheng; Tianyang Xu; Zhenhua Feng 001; Xiaojun Wu 001; Zhangyong Tang; Hui Li 037; Zeyang Zhang 002; Sara Atito Ali; Muhammad Awais 001; Josef Kittler (CVPR, 2025)

Text Augmented Correlation Transformer For Few-shot Classification & Segmentation. - Srinivasa Rao Nandam; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Muhammad Awais 001 (CVPR, 2025)

Enhanced Weakly Supervised Few-shot Classification & Segmentation. - Srinivasa Rao Nandam; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Muhammad Awais 001 (ICASSP, 2025)

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes. - Tony Alex; Sara Atito 001; Armin Mustafa; Muhammad Awais 001; Philip J. B. Jackson (ICLR, 2025)

ASiT-CRNN: A method for sound event detection with fine-tuning of self-supervised pre-trained ASiT-based model. - Yueyang Zheng; Ruikun Zhang; Sara Atito 001; Shuguo Yang; Wenwu Wang 001; Yiduo Mei (Digit. Signal Process., 2025)

One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion. - Chunyang Cheng; Tianyang Xu; Zhenhua Feng 001; Xiaojun Wu 001; ZhangyongTang; Hui Li 037; Zeyang Zhang 002; Sara Atito 001; Muhammad Awais 001; Josef Kittler (CoRR, 2025)

C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging. - Umar Marikkar; Syed Sameed Husain; Muhammad Awais 001; Sara Atito Ali (CoRR, 2025)

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification. - Youssef Mohamed; Noran Mohamed; Khaled Abouhashad; Feilong Tang; Sara Atito 001; Shoaib Jameel; Imran Razzak; Ahmed B. Zaky (CoRR, 2025)

PAL: Probing Audio Encoders via LLMs - A Study of Information Transfer from Audio Encoders to LLMs. - Tony Alex; Wish Suharitdamrong; Sara Atito 001; Armin Mustafa; Philip J. B. Jackson; Imran Razzak; Muhammad Awais 001 (CoRR, 2025)

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning. - Ankan Deria; Adinath Madhavrao Dukre; Feilong Tang; Sara Atito 001; Sudipta Roy 002; Muhammad Awais 001; Muhammad Haris Khan; Imran Razzak (CoRR, 2025)

Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints. - Iqra Farooq; Sara Atito 001; Ayse Demirkan; Inga Prokopenko; Muhammad Rana (CoRR, 2025)

Investigating Self-Supervised Methods for Label-Efficient Learning. - Srinivasa Rao Nandam; Sara Atito 001; Zhenhua Feng 001; Josef Kittler; Muhammad Awais 001 (Int. J. Comput. Vis., 2025)