Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment. - Pendar Alirezazadeh; Ehsan Yaghoubi; Eduardo Assunção; João C. Neves 001; Hugo Proença 001 (BIOSIG, 2019)

Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments. - Ehsan Yaghoubi; Pendar Alirezazadeh; Eduardo Assunção; João C. Neves 001; Hugo Proença 001 (BIOSIG, 2019)

All-in-one "HairNet": A Deep Neural Model for Joint Hair Segmentation and Characterization. - Diana Borza; Ehsan Yaghoubi; João Neves 002; Hugo Proença 001 (IJCB, 2020)

An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks. - Ehsan Yaghoubi; Diana Borza; Aruna Kumar; Hugo Proença 001 (CoRR, 2020)

The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices. - S. V. Aruna Kumar; Ehsan Yaghoubi; Abhijit Das 001; B. S. Harish; Hugo Proença 001 (CoRR, 2020)

A Symbolic Temporal Pooling method for Video-based Person Re-Identification. - S. V. Aruna Kumar; Ehsan Yaghoubi; Hugo Proença 001 (CoRR, 2020)

An attention-based deep learning model for multiple pedestrian attributes recognition. - Ehsan Yaghoubi; Diana Borza; João Neves 002; Aruna Kumar; Hugo Proença 001 (Image Vis. Comput., 2020)

You look so different! Haven't I seen you a long time ago? - Ehsan Yaghoubi; Diana Borza; Bruno Degardin; Hugo Proença 001 (Image Vis. Comput., 2021)

Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks. - Ehsan Yaghoubi; Diana Borza; S. V. Aruna Kumar; Hugo Proença 001 (Pattern Recognit. Lett., 2021)

SSS-PR: A short survey of surveys in person re-identification. - Ehsan Yaghoubi; Aruna Kumar; Hugo Proença 001 (Pattern Recognit. Lett., 2021)

The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, and Short/Long-Term Re-Identification From Aerial Devices. - S. V. Aruna Kumar; Ehsan Yaghoubi; Abhijit Das 001; B. S. Harish; Hugo Proença 001 (IEEE Trans. Inf. Forensics Secur., 2021)

A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-Output Classification Problems. - Hugo Proença 001; Ehsan Yaghoubi; Pendar Alirezazadeh (IEEE Trans. Inf. Forensics Secur., 2021)

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. - Bruno Degardin; João Neves 002; Vasco Lopes; João Brito; Ehsan Yaghoubi; Hugo Proença 001 (WACV, 2022)

Acoustic and Visual Knowledge Distillation for Contrastive Audio-Visual Localization. - Ehsan Yaghoubi; André Peter Kelm; Timo Gerkmann; Simone Frintrop (ICMI, 2023)

High-Level Features Parallelization for Inference Cost Reduction Through Selective Attention. - André Peter Kelm; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (CoRR, 2023)

Satellite Imaging Techniques for Ground Movement Monitoring of a Deep Pipeline Trench Backfilled with Recycled Materials. - B. Teodosio; Asmaa Al-Taie; Ehsan Yaghoubi; P. L. P. Wasantha (Remote. Sens., 2023)

Shrink-swell index prediction through deep learning. - Bertrand Teodosio; P. L. P. Wasantha; Ehsan Yaghoubi; M. Guerrieri; R. C. van Staden; S. Fragomeni (Neural Comput. Appl., 2023)

Adaptive Spatial Transformation Networks for Periocular Recognition. - Diana Laura Borza; Ehsan Yaghoubi; Simone Frintrop; Hugo Proença 001 (Sensors, 2023)

Dynamic Inference and Top-down Attention in a Hierarchical Classification Network. - André Peter Kelm; Niels Hannemann; Bruno Heberle; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (ICPR (8), 2024)

RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification. - Sara Mínguez Monedero; Fabian Westhaeusser; Ehsan Yaghoubi; Simone Frintrop; Marina Zimmermann (MIDL, 2024)

Attention-Based Fusion of Intra- and Intermodal Dynamics in Multimodal Sentiment Analysis. - Ehsan Yaghoubi; Tuyet Kim Tran; Diana Borza; Simone Frintrop (PerCom Workshops, 2024)

Select High-Level Features: Efficient Experts from a Hierarchical Classification Network. - André Peter Kelm; Niels Hannemann; Bruno Heberle; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (CoRR, 2024)