BK Lee (ByungKwanLee)

ByungKwanLee

Geek Repo

Company:leebk@kaist.ac.kr

Location:KAIST, Dajeon, Korea

Home Page:sites.google.com/view/deepvisionresearcher

Github PK Tool:Github PK Tool

BK Lee's repositories

MoAI

Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks. (Under Review)

Language:PythonLicense:MITStargazers:299Issues:10Issues:20

Full-Segment-Anything

This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size

Language:PythonLicense:MITStargazers:123Issues:2Issues:4

Meteor

Official PyTorch implementation code for realizing the technical part of Mamba-based traversal of rationale (Meteor) to improve performance of numerous vision language performances for diverse capabilities. (Under Review)

Language:PythonLicense:MITStargazers:93Issues:1Issues:5

CoLLaVO

Official PyTorch Implementation code for realizing the technical part of CoLLaVO: Crayon Large Language and Vision mOdel to significantly improve zero-shot vision language performances (ACL 2024 Findings)

Language:PythonLicense:MITStargazers:88Issues:5Issues:0

TroL

Official PyTorch implementation code for realizing the technical part of Traversal of Layers (TroL) presenting new propagation operation to get super vision language performances. (Under Review)

Adversarial-Information-Bottleneck

Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck" in NeurIPS 2021

Language:PythonLicense:MITStargazers:45Issues:0Issues:0

Causal-Adversarial-Instruments

Official PyTorch Implementation for "Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression" in CVPR 2023

Language:PythonLicense:MITStargazers:40Issues:3Issues:1

Super-Fast-Adversarial-Training

Official PyTorch Implementation Code for Developing Super Fast Adversarial Training with Distributed Data Parallel, Channel Last Memory Format, Mixed Precision Training + Adversarial Attack, Faster Adversarial Training, and Fast Forward Computer Vision (FFCV).

Language:PythonLicense:MITStargazers:31Issues:2Issues:0

Masking-Adversarial-Damage

Official PyTorch Implementation for "Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network" in CVPR 2022

Language:PythonLicense:MITStargazers:30Issues:0Issues:0

Adavanced-ECMS

Advanced Energy Control Management System (Advanced-ECMS) for Electrical Vehicle System using proposed Plus Version of Alternating Direction Method of Multipliers (ADMM+) on Robotics Operating System (ROS)

Language:C++License:MITStargazers:28Issues:1Issues:0

Double-Debiased-Adversary

Official PyTorch Implementation for "Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning" in ICCV 2023

Language:PythonLicense:MITStargazers:28Issues:3Issues:0

Robust-TopView

Robustly Converting Camera View from Normal View to Top View for Autonomous Vehicle System on Robotics Operating System (ROS)

Language:C++Stargazers:23Issues:1Issues:0

Hierarchical-Bayesian-Defense

Official PyTorch Implementation for "Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference" (OpenReview)

Language:PythonStargazers:22Issues:0Issues:0

YOLO-Dyanmic-ROS

Modification to YOLO for improving Dynamic Real-Time Processing on Robotics Operating Systems for Autonomous Vehicle System

Language:CStargazers:20Issues:0Issues:0
Stargazers:1Issues:0Issues:0