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haniruth/README.md

Haniruth Muthuselvam

MSc Artificial Intelligence @ University of Surrey
Computer Vision · Weak Supervision · Retrieval · Vision-Language Models · Representation Learning

I am an AI and computer vision student focused on building practical, reproducible, and research-oriented vision systems for real-world data. My interests include weakly supervised learning, visual representation learning, retrieval/re-identification, vision-language models, privacy-preserving perception, and 3D/spatial computer vision.

I am currently strengthening my research portfolio through computer vision projects involving clearer experiments, ablations, visualisations, and failure-case analysis. My broader goal is to develop PhD-aligned research work around weakly supervised vision, vision-language models, privacy-preserving perception, and geometry-aware visual understanding.

Research Interests

  • Weakly supervised and label-efficient computer vision
  • Vision-language models for semantic visual understanding
  • Retrieval, re-identification, and representation learning
  • Privacy-preserving pedestrian and autonomous-driving perception
  • Geometry-aware and 3D/spatial computer vision
  • Visual analytics and interpretable AI systems

Email: haniruth04@gmail.com

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  1. Anomaly-Detection Anomaly-Detection Public

    Weakly supervised video anomaly detection with UMIL, I3D features, and CLIP-based semantic anomaly prediction.

    Python

  2. GeoVehicle-ReID GeoVehicle-ReID Public

    Geometry-aware vehicle re-identification on VeRi using local part descriptors, BNNeck retrieval features, pseudo-depth attention, and camera supervision.

    Python

  3. Image-Retrieval-msrcv2 Image-Retrieval-msrcv2 Public

    Classical content-based image retrieval on MSRC-v2 using colour histograms, spatial grids, Sobel texture, PCA, and ranked retrieval metrics.

    Python

  4. KnifeHunter KnifeHunter Public

    Fine-grained image classification with EfficientNet-B3, PyTorch/TIMM, transfer learning, and augmentation-heavy training.

    Python