visual-computing
an archive of projects with this tag
Plug-and-Play Self-Supervised Temporal Consistency Refinement for Monocular Depth Estimation in Video: For the final project in MIT’s Introduction to Computer Vision class, I worked on a lightweight self-supervised refinement model with PyTorch that improves monocular video depth estimation by enforcing temporal and visual consistency across frames. Our plug-in approach enhances single-image depth predictions with smooth, stable results while remaining more efficient than bulky state-of-the-art methods. |
Image Inpainting: Designed and implemented process for inpainting regions in images by interpolating structure (image gradients) using a Poisson solver and color values via PDE’s (anisotropic diffusion) in C++. |
Iterative Neural Network Based Approach to Automated IFT-20 Sensory Neuron Identification in Caenorhabditis elegans: Developed custom multistage neural network implemented using PyTorch to classify 22 sensory neurons in the IFT-20 subunit of the C. elegans brain. Paper available upon request |
Object Tracking & Gesture Recognition: Created interactive game with real-time hand-tracking and neural network-based gesture identification using OpenCV and TensorFlow in Python. 1st place term project. |