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Manoj-152/README.md

Hi there, I'm Manoj Srinivasan

LinkedIn Personal Website

About me:

I am a recent Master’s graduate in Computer Engineering from New York University and an alumnus of IIT Madras. I am currently an ML Research Assistant at the NYU Video Lab, advised by Prof. Yao Wang. I work at the intersection of computer vision, generative AI, and 3D rendering, and I enjoy solving complex problems that connect these areas. My passion is not only research but also turning cutting-edge ideas into practical and impactful solutions.

Languages and Tools:

Python C C++ SQL Pytorch TensorFlow scikit-learn pandas Git GitHub Docker CUDA AWS S3 Google Cloud Markdown Linux HTML5 Java

GitHub Stats:

Manoj S' GitHub Stats

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  1. aquantumreality/Inter-IIT-ISRO aquantumreality/Inter-IIT-ISRO Public

    Report for ISRO's "Moon Mapping" Challenge at Inter IIT 11.0, that won us a Bronze Medal

    Jupyter Notebook 1

  2. 3DGS-Enhancer 3DGS-Enhancer Public

    A pose-guided Stable Video Diffusion pipeline for improving low-quality 3DGS-rendered novel views.

    C++

  3. Satellite-Image-Super-Resolution Satellite-Image-Super-Resolution Public

    PyTorch implementation of OGSRN for enhancing low-resolution SAR images with optical guidance.

    Jupyter Notebook 1

  4. PHASE-Implicit-3D-Reconstruction PHASE-Implicit-3D-Reconstruction Public

    Implementation of the Paper “Phase Transitions, Distance Functions, and Implicit Neural Representations” for mesh reconstruction.

    Python

  5. Deep-Learning--Based-Face-Recognition Deep-Learning--Based-Face-Recognition Public

    Feature-embedding–based face recognition system using ResNet18, triplet loss training, and thresholded cosine similarity for verification.

    Python

  6. Steel-Surface-Defect-Detection Steel-Surface-Defect-Detection Public

    UNet-based steel defect detection and localization using semantic segmentation on the Severstal steel dataset.

    Python