dandan1112

dandan1112's Stars

• ByungKwanLee/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

  Language:Python9313

• ByungKwanLee/MoAI

  [ECCV 2024] 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.

  Language:Python30731

• ByungKwanLee/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:Python1409

• ByungKwanLee/Double-Debiased-Adversary

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

  Language:Python302

• ByungKwanLee/Adversarial-Information-Bottleneck

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

  Language:Python472

• ByungKwanLee/Robust-TopView

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

  Language:C++241

• ByungKwanLee/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++293

• ByungKwanLee/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:Python322

• ByungKwanLee/Hierarchical-Bayesian-Defense

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

  Language:Python232

• ByungKwanLee/YOLO-Dyanmic-ROS

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

  Language:C211

• ByungKwanLee/Masking-Adversarial-Damage

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

  Language:Python313

• ByungKwanLee/Causal-Adversarial-Instruments

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

  Language:Python414