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Byung-Kwan Lee's Github

šŸ”­ Iā€™m currently Ph.D. candidate in KAIST EE for building efficient vision language model surpassing GPT-4V!

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BK Lee's Projects

adavanced-ecms icon 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)

adversarial-information-bottleneck icon adversarial-information-bottleneck

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

causal-adversarial-instruments icon 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

causal-unsupervised-segmentation icon causal-unsupervised-segmentation

Official PyTorch Implementation code for realizing the technical part of Causal Unsupervised Semantic sEgmentation (CAUSE) to improve performance of unsupervised semantic segmentation. (Under Review)

collavo icon collavo

[ACL 2024 Findings] 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

double-debiased-adversary icon double-debiased-adversary

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

full-segment-anything icon 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

hierarchical-bayesian-defense icon hierarchical-bayesian-defense

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

masking-adversarial-damage icon masking-adversarial-damage

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

meteor icon 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)

moai icon 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. (ECCV 2024)

robust-topview icon robust-topview

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

super-fast-adversarial-training icon 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).

trol icon 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)

yolo-dyanmic-ros icon yolo-dyanmic-ros

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

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