John Shin's Projects
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Python I/O for optical flow files (.flo)
Notebooks for the ww phys-theory channel
Code for visualizing the loss landscape of neural nets
Manopt, a Matlab toolbox for optimization on manifolds
Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
iPALM package for sparse blind deconvolution and other bilinear inverse problems.
Sparse blind deconvolution using Riemannian Trust Region Method.
GPU-enabled version of SBD-RTRM
Implementation and evaluation of SSL methods.
A library for uncertainty methods in SSL.
High-quality implementations of standard and SOTA methods on a variety of tasks.
Tools for understanding how transformer predictions are built layer-by-layer
Real-time multi-object tracking and segmentation using YOLOv8