Kailash A. Hambarde

Kailash A. Hambarde

Researcher · Instituto de Telecomunicações & Docente · UBI, Portugal
Pattern and Image Analysis · Information and Data Sciences

I work on computer vision, biometric recognition, person re-identification, and machine learning systems that stay reliable in unconstrained visual conditions, including aerial-ground and extreme-distance scenarios.

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News

May 2026 🏆 Awarded Outstanding Reviewer at IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE-TBIOM) — recognised for exceptional contributions to the peer review process.
Mar 2026 Ranked 2nd place in the Cross-View Re-Identification track at the CodaBench Competition.
Mar 2026 🏆 NTIRE 2026 Challenge @ CVPR 2026 — Ranked 7th out of 51 teams in the Image Shadow Removal Challenge and 6th out of 24 teams in the Image Denoising Challenge (noise level=50). First international collaboration work with Praful Hambarde (Assistant Professor, IIT Mandi, India).
Mar 2026 The VReID-XFD Workshop at WACV 2026 @Tucson, Arizona, USA is a Wrap All papers are now freely accessible via IEEE Xplore and CVF Open Access..
Apr 2025 Joined Instituto de Telecomunicações (IT) as a Researcher in the Pattern and Image Analysis group, Thematic Line on Information and Data Sciences.
Jan 2025 New preprint: Human Re-ID Meets LVLMs — What can we expect? — comparing ChatGPT-4o, Gemini-2.0-Flash, Claude 3.5 Sonnet, and Qwen-VL-Max to state-of-the-art ReID models.

Blog

All posts

Publications

VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results

VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results

Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi, Pranita Samale
IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW), 2026 Workshop Paper
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition

DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition

Kailash A. Hambarde, Nzakiese Mbongo, M.P. Pavan Kumar, Satish Mekewad, Carolina Fernandes, Gökhan Silahtaroğlu, Alice Nithya, Pawan Wasnik, Md Rashidunnabi, Pranita Samale, Hugo Proença
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2026 Journal Paper
VM-TAPS: View-specific Memory with Temporal and Scale Awareness Framework for Video-based Cross-View Person Re-Identification

VM-TAPS: View-specific Memory with Temporal and Scale Awareness Framework for Video-based Cross-View Person Re-Identification

Md Rashidunnabi, Kailash A. Hambarde, Vasco Lopes, João Neves, Hugo Proença
IJCB 2025: IEEE International Joint Conference on Biometrics (in press) Conference Paper
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results

AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results

Kailash A. Hambarde, Hugo Proença
IJCB 2025: IEEE International Joint Conference on Biometrics (in press) Challenge Paper
arXiv
Causality and 'In-the-Wild' Video-Based Person Re-Identification: A Survey

Causality and 'In-the-Wild' Video-Based Person Re-Identification: A Survey

Md Rashidunnabi, Kailash A. Hambarde, Hugo Proença
Electronics, 2025 Journal Paper
From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments

From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments

Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença
Sensors, 2025 Journal Paper
LUSITANO-DATA: A Causal-Based Framework for Agnostic Intelligent Data Analysis

LUSITANO-DATA: A Causal-Based Framework for Agnostic Intelligent Data Analysis

Asmae Lamsaf, Kailash A. Hambarde, Pranita Samale, João Neves, Hugo Proença
IEEE 2nd International Conference on Artificial Intelligence and Machine Vision (AIMV'25), 2025 Conference Paper
Human Re-ID Meets LVLMs: What can we expect?

Human Re-ID Meets LVLMs: What can we expect?

Kailash A. Hambarde, Pranita Samale, Hugo Proença
arXiv, 2025 Preprint
Project arXiv
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning

Hamed Gholipour, Farid Bozorgnia, Kailash A. Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, André Sequeira, João Neves, Hugo Proença, Moharram Challenger
Quantum Information Processing, Vol. 24, No. 4, Article 106, Springer, 2025 Journal Paper
arXiv
Multimodal Iris, Face and Fingerprint Biometric Fusion for Enhanced Person Identification Using Hybrid Deep Learning

Multimodal Iris, Face and Fingerprint Biometric Fusion for Enhanced Person Identification Using Hybrid Deep Learning

Kailash A. Hambarde, Hugo Proença
Applied Artificial Intelligence, 2AI 2024, Communications in Computer and Information Science vol. 2621, Springer, 2026 Conference Paper
Project
Comparative Analysis of ViT (Vision Transformers) and Convolutional Neural Networks in Medical Imaging

Comparative Analysis of ViT (Vision Transformers) and Convolutional Neural Networks in Medical Imaging

Pranita Samale, Kailash A. Hambarde, Hugo Proença
Portuguese Conference on Pattern Recognition (RECPAD), 2024 Conference Paper
Comparative Analysis of Faster R-CNN and YOLOv7 for Automated Fabric Defect Detection

Comparative Analysis of Faster R-CNN and YOLOv7 for Automated Fabric Defect Detection

Rui Carrilho, Kailash A. Hambarde, Hugo Proença
Portuguese Conference on Pattern Recognition (RECPAD), 2024 Conference Paper
Toward automated fabric defect detection: A survey of recent computer vision approaches

Toward automated fabric defect detection: A survey of recent computer vision approaches

Rui Carrilho, Ehsan Yaghoubi, José Lindo, Kailash A. Hambarde, Hugo Proença
Electronics, 2024 Journal Paper
Project
A novel dataset for fabric defect detection: bridging gaps in anomaly detection

A novel dataset for fabric defect detection: bridging gaps in anomaly detection

Rui Carrilho, Kailash A. Hambarde, Hugo Proença
Applied Sciences, 2024 Journal Paper
Project
Image-based human re-identification: Which covariates are actually (the most) important?

Image-based human re-identification: Which covariates are actually (the most) important?

Kailash A. Hambarde, Hugo Proença
Image and Vision Computing, 2024 Journal Paper
Project
Advancing Manufacturing Energy Efficiency: The Role of AI and Web-Based Tools

Advancing Manufacturing Energy Efficiency: The Role of AI and Web-Based Tools

Asmae Lamsaf, Pranita Samale, Hugo Proença, João Neves, Kailash A. Hambarde
ESCI 2024, IEEE Conference Paper
Project
Information retrieval: recent advances and beyond

Information retrieval: recent advances and beyond

Kailash A. Hambarde, Hugo Proença
IEEE Access, 2023 Journal Paper
Project
WSRR: Weighted Rank-Relevance Sampling for Dense Text Retrieval

WSRR: Weighted Rank-Relevance Sampling for Dense Text Retrieval

Kailash A. Hambarde, Hugo Proença
International Conference on Information and Communication Technology for Intelligent Systems, 2023 Conference Paper
Project
Diagnosis of Covid-19 via patient breath data using artificial intelligence

Diagnosis of Covid-19 via patient breath data using artificial intelligence

Özge Doğuç, Gökhan Silahtaroğlu, Zehra Nur Canbolat, Kailash A. Hambarde, Ahmet Alperen Yiğitbaşı, Hasan Gökay, Mesut Yılmaz
Emerging Science Journal, 2023 Journal Paper
Project arXiv
Augmentation of behavioral analysis framework for E-commerce customers using MLP-based ANN

Augmentation of behavioral analysis framework for E-commerce customers using MLP-based ANN

Kailash A. Hambarde, Gökhan Silahtaroğlu, Santosh Khamitkar, Parag Bhalchandra, Husen Shaikh, Pritam Tamsekar, Govind Kulkarni
ICDSM, 2020 Conference Paper
Project
Data analytics implemented over E-commerce data to evaluate performance of supervised learning approaches in relation to customer behavior

Data analytics implemented over E-commerce data to evaluate performance of supervised learning approaches in relation to customer behavior

Kailash A. Hambarde, Gökhan Silahtaroğlu, Santosh Khamitkar, Parag Bhalchandra, Husen Shaikh, Pritam Tamsekar, Govind Kulkarni, Pranita Samale
Soft Computing for Problem Solving, 2019 Conference Paper
Project
Prediction of artificial water recharge sites using fusion of RS, GIS, AHP and GA Technologies

Prediction of artificial water recharge sites using fusion of RS, GIS, AHP and GA Technologies

Husen Shaikh, Santosh Khamitkar, Parag Bhalchandra, Pritam Tamsekar, Govind Kulkarni, Kailash A. Hambarde
Advances in Data Science and Management, ICDSM 2019 Conference Paper
Project
Comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model

Comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model

Pritam Tamsekar, Nilesh Deshmukh, Parag Bhalchandra, Govind Kulkarni, Kailash A. Hambarde, Husen Shaikh
Computing and Network Sustainability, IRSCNS 2018 Conference Paper
Project
Architectural outline of GIS-based decision support system for crop selection

Architectural outline of GIS-based decision support system for crop selection

Pritam Tamsekar, Nilesh Deshmukh, Parag Bhalchandra, Govind Kulkarni, Kailash A. Hambarde, Husen Shaikh
Smart Computing and Informatics, SCI 2016 Conference Paper
Project
Architectural outline of decision support system for crop selection using GIS and DM techniques

Architectural outline of decision support system for crop selection using GIS and DM techniques

Pritam Tamsekar, Nilesh Deshmukh, Parag Bhalchandra, Govind Kulkarni, Kailash A. Hambarde, Husen Shaikh
Computing and Network Sustainability, IRSCNS 2016 Conference Paper
Project
Effective Use of GIS Based Spatial Pattern Technology for Urban Greenery Space Planning

Effective Use of GIS Based Spatial Pattern Technology for Urban Greenery Space Planning

Govind Kulkarni, Nilesh Deshmukh, Parag Bhalchandra, Pritam Tamsekar, Kailash A. Hambarde, Husen Shaikh
2nd International Conference on Intelligent Computing and Applications (ICICA 2015) Conference Paper
Project

Contact

kailash.hambarde@ubi.pt
Instituto de Telecomunicações
Departamento de Informática, UBI
Covilhã 6201-001, Portugal
IT Profile — it.pt