Computer Vision

Non-sequential Autoregressive Shape Priors for 3D Completion, Reconstruction and Generation

Capstone project on exploring autoregressive shape priors for 3D objects and developing a unified framework for shape completion, single-view reconstruction and language guided generation

Non-sequential Autoregressive Shape Priors for 3D Completion, Reconstruction and Generation

Inverting 3D Deep Learning Architectures

Project on inverting models of 3D object recognition and classification in order to analyze interpretability

Inverting 3D Deep Learning Architectures

3D reconstruction using Stereo Correspondence

Course Assignment on Eight-Point Algorithm, finding epipolar correspondence and bundle adjustment for 3D reconstruction from noisy stereo correspondence

3D reconstruction using Stereo Correspondence

Homography and Panaroma

Course assignment to compute homography matrix, develop AR application and create panaromas using multiple images

Homography and Panaroma

Scene Classification using Visual Words

Course assignment to use conventional filter responses (Gaussian, Laplacian of Gaussian etc.) to represent images and develop spatial pyramid based approach to classify scenes.

Scene Classification using Visual Words