Anindya Mondal profile photo

Anindya Mondal

PhD student in Computer Vision and AI at the Surrey Institute for People-Centred AI (CVSSP), University of Surrey.

My research addresses challenges in representation learning for real-world settings by integrating auxiliary signals across modalities. I develop algorithms for vision–language integration, focusing on robust action recognition, object counting, and text-to-image synthesis, with an emphasis on practical solutions for dynamic scene interpretation and generation.

Publications and Preprints

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CountLoop: Iterative Agent Guided High Instance Image Generation

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

Under review

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

Anindya Mondal, Sauradip Nag, Xiatian Zhu, Anjan Dutta

AAAI ’25

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

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

ICCVW ’23

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Time-varying Signals Recovery via Graph Neural Networks

JAC Correa, JH Giraldo, Anindya Mondal et al.

ICASSP ’23

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

Anindya Mondal et al.

EUSIPCO ’22

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

Anindya Mondal, R. Shashant et al.

ICCVW ’21

Awards & Recognition

Teaching & Peer Review