ucla

X Inertial-aided Visual Odometry

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

An archive of past challenges from LA CTF hosted by ACM Cyber at UCLA and Psi Beta Rho.

PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

My notes from the classes I've taken at UCLA

PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

lab section materials for eeb c177/c234 @ucla (winter 2020) 🐻

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)

CS 33: Introduction to Computer Organization

The code for Hotseat!

My typed-up math lecture notes

Predicting Bike Rental Demand using Linear and Non-linear Regression Models

An upper-division course in UCLA's Asian American Studies Department designed to utilize web technologies and empower communities for social change.

PyTorch implementation of An Adaptive Framework for Learning Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Official Website for ACM ICPC at UCLA

Drone code for UAS@UCLA

Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.