141 citations · 145 across the 13 of their papers we have counts for
14 papers
Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges
Saniya M. Deshmukh, Kailash A. Hambarde, Hugo Proença
Object detection models trained on a source domain often exhibit significant performance degradation when deployed in unseen target domains, due to various kinds of variations, suc…
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
Sharayu Nilesh Deshmukh, Kailash A. Hambarde, Joana C. Costa +2
Current DeepFake detection scenarios are mostly binary, yet data manipulation can vary across audio, video, or both, whose variability is not captured in binary settings. Four-clas…
Rectifying Geometry-Induced Similarity Distortions for Real-World Aerial-Ground Person Re-Identification
Kailash A. Hambarde, Hugo Proença
Aerial-ground person re-identification (AG-ReID) is fundamentally challenged by extreme viewpoint and distance discrepancies between aerial and ground cameras, which induce severe…
VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results
Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi +18
Person re-identification (ReID) across aerial and ground views at extreme far distances introduces a distinct operating regime where severe resolution degradation, extreme viewpoin…
When Gender is Hard to See: Multi-Attribute Support for Long-Range Recognition
Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença
Accurate gender recognition from extreme long-range imagery remains a challenging problem due to limited spatial resolution, viewpoint variability, and loss of facial cues. For suc…
Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
Md Rashidunnabi, Kailash A. Hambarde, Vasco Lopes +2
Video-based person re-identification (ReID) in cross-view domains (for example, aerial-ground surveillance) remains an open problem because of extreme viewpoint shifts, scale dispa…
Enhancement of Quantum Semi-Supervised Learning via Improved Laplacian and Poisson Methods
Hamed Gholipour, Farid Bozorgnia, Hamzeh Mohammadigheymasi +5
This paper develops a hybrid quantum approach for graph-based semi-supervised learning to enhance performance in scenarios where labeled data is scarce. We introduce two enhanced q…
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Kien Nguyen, Clinton Fookes, Sridha Sridharan +20
Person re-identification (ReID) across aerial and ground vantage points has become crucial for large-scale surveillance and public safety applications. Although significant progres…
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey
Md Rashidunnabi, Kailash Hambarde, Hugo Proença
Video-based person re-identification (Re-ID) remains brittle in real-world deployments despite impressive benchmark performance. Most existing models rely on superficial correlatio…
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
Kailash A. Hambarde, Nzakiese Mbongo, Pavan Kumar MP +8
Person reidentification (ReID) technology has been considered to perform relatively well under controlled, ground-level conditions, but it breaks down when deployed in challenging…
Human Re-ID Meets LVLMs: What can we expect?
Kailash Hambarde, Pranita Samale, Hugo Proença
Large vision-language models (LVLMs) have been regarded as a breakthrough advance in an astoundingly variety of tasks, from content generation to virtual assistants and multimodal…
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde +5
Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. Thi…
Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence
Ozge Doguc, Gokhan Silahtaroglu, Zehra Nur Canbolat +4
Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controll…
Information Retrieval: Recent Advances and Beyond
Kailash A. Hambarde, Hugo Proenca
In this paper, we provide a detailed overview of the models used for information retrieval in the first and second stages of the typical processing chain. We discuss the current st…