chae-won-kim

chae-won-kim's Stars

• ByungKwanLee/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)

  Language:Python821

• ByungKwanLee/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:Python29828

• Sally-SH/VSP-LLM

  Language:Python28824

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  11.4k743

• ByungKwanLee/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:Python8611

• Alpha-VLLM/LLaMA2-Accessory

  An Open-source Toolkit for LLM Development

  Language:Python2.7k170

• 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:Python1289

• ByungKwanLee/Masking-Adversarial-Damage

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

  Language:Python303

• ByungKwanLee/Double-Debiased-Adversary

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

  Language:Python282

• autonomousvision/stylegan-xl

  [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

  Language:Python963113

• afourast/deep_lip_reading

  Code and models for evaluating a state-of-the-art lip reading network

  Language:Python18653

• ByungKwanLee/Robust-TopView

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

  Language:C++231

• 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++283

• ByungKwanLee/Hierarchical-Bayesian-Defense

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

  Language:Python222

• ByungKwanLee/Adversarial-Information-Bottleneck

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

  Language:Python452

• 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:Python312

• ByungKwanLee/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:Python404

• ByungKwanLee/YOLO-Dyanmic-ROS

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

  Language:C201

• dymicboy/madcamp2019w_tejava

  Language:Java2