Anindya Mondal

PhD Student in Computer Vision and AI

Surrey Institute for People-Centred AI (CVSSP), University of Surrey, UK

I am a final-year PhD student advised by Dr. Anjan Dutta, Dr. Xiatian Zhu, and Dr. Joaquin M. Prada. My research focuses on vision-language representation learning with applications in action recognition, object counting, and text-to-image synthesis. I aim to develop practical algorithms that enable robust scene understanding and generation in real-world settings by effectively integrating multi-modal signals.

Email: a.mondal [at] surrey.ac.uk

Research Interests

Vision-Language Models: Multi-modal representation learning for robust scene understanding
Generative AI: Text-to-image synthesis with precise instance control and counting
Action Recognition: Actor-agnostic video understanding using multi-modal queries
Object Counting: Multi-label counting with semantic-geometric priors for real-world applications

Publications

CountLoop: Iterative Agent Guided High Instance Image Generation

Anindya Mondal, Ayan Banerjee, Sauradip Nag, Josep Llados, Xiatian Zhu, Anjan Dutta

Under Review

[PDF] [Surrey] [Project]

OmniCount: Multi-label Object Counting with Semantic-Geometric Priors

Anindya Mondal, Sauradip Nag, Xiatian Zhu, Anjan Dutta

AAAI 2025

[DOI] [Project]

Actor-agnostic Multi-label Action Recognition with Multi-modal Query

Anindya Mondal, Sauradip Nag, Joaquin M. Prada, Xiatian Zhu, Anjan Dutta

ICCVW 2023

[DOI] [Code]

Time-varying Signals Recovery via Graph Neural Networks

JAC Correa, JH Giraldo, Anindya Mondal et al.

ICASSP 2023

[PDF] [DOI]

Recovery of Missing Sensor Data by Reconstructing Time-varying Graph Signals

Anindya Mondal et al.

EUSIPCO 2022

[PDF] [DOI] [Code]

Moving Object Detection for Event-based Vision using Graph Spectral Clustering

Anindya Mondal, R. Shashant et al.

ICCVW 2021

[PDF] [DOI] [Code]

News

Jan 2025	Paper on multi-label object counting accepted at AAAI 2025!
Dec 2024	Awarded AAAI 2025 Conference Travel Grant (worth $1200)
Oct 2023	Presented work on actor-agnostic action recognition at ICCV Workshop 2023 in Paris
Sep 2022	Started PhD at University of Surrey with full studentship funding

Education

PhD in Computer Vision and AI (2022 – Present)
University of Surrey, UK
Surrey Institute for People-Centred AI (CVSSP)
Advisors: Dr. Anjan Dutta, Dr. Xiatian Zhu, and Dr. Joaquin M. Prada

Awards & Recognition

AAAI 2025 Conference Travel Grant (worth $1200), Philadelphia, USA
ICCV 2023 Conference Grant, Paris, France
University of Surrey Postgraduate Studentship (2022 – 2025), Full PhD funding
Uplink Research Internship Award, ACM SIGKDD India Chapter

Teaching

Teaching Assistant (2023 – 2025), University of Surrey
Applied Machine Learning (EEEM068), Advanced Topics in Computer Vision and Deep Learning (EEEM071), and UKRI Centre for Doctoral Training (CDT)

Academic Service

Peer Reviewer: ICASSP, ICCV, CVPR, ECCV, NeurIPS, ICPR, IEEE Transactions on Signal Processing (TSP), IEEE Transactions on Signal and Information Processing over Networks (TSIPN)