sungjune-p

sungjune-p's Stars

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.5k36271451

• hwalsuklee/awesome-deep-text-detection-recognition

  A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

  2.5k15013511

• msight-tech/research-charnet

  CharNet: Convolutional Character Networks

  Language:Python6138448141

• Sally-SH/VSP-LLM

  Language:Python3118625

• cvlab-yonsei/FYI

  An official implementation of "FYI: Flip Your Images for Dataset Distillation" (ECCV 2024) in PyTorch.

  Language:Python571319

• Becomebright/GroundVQA

  Official PyTorch code of GroundVQA (CVPR'24)

  Language:Python56262

• cvlab-yonsei/DKD

  An official implementation of "Decomposed Knowledge Distillation for Class-incremental Semantic Segmentation" (NeurIPS 2022) in PyTorch.

  Language:Python553210

• cvlab-yonsei/One-Shot-TAS

  Language:Python531319

• joannahong/Lip2Wav-pytorch

  a PyTorch implementation of Lip2Wav

  Language:Python5011212

• cvlab-yonsei/Multi-Task-Learning

  Language:Python492017

• ByungKwanLee/Adversarial-Information-Bottleneck

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

  Language:Python46212

• 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:Python43115

• cvlab-yonsei/DASS

  An official PyTorch implementation of "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation", ECCV 2022.

  Language:Python43559

• cvlab-yonsei/ALIFE

  An official implementation of "ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation" (NeurIPS 2022) in PyTorch.

  Language:Python41317

• cvlab-yonsei/OIMNetPlus

  An official PyTorch implementation of "OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search", ECCV 2022.

  Language:Python404311

• 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:Python32202

• ByungKwanLee/Double-Debiased-Adversary

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

  Language:Python31202

• ByungKwanLee/Masking-Adversarial-Damage

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

  Language:Python31223

• 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++29003

• ByungKwanLee/Robust-TopView

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

  Language:C++24101

• ByungKwanLee/Hierarchical-Bayesian-Defense

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

  Language:Python23202

• BolinLai/GLC

  [BMVC2022, IJCV2023, Best Student Paper, Spotlight] Official codes for the paper "In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation".

  Language:Python22193

• ByungKwanLee/YOLO-Dyanmic-ROS

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

  Language:C21201

• BolinLai/CSTS

  [ECCV2024] The official implementation of "Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation".

  Language:Python8111