LimGeunTaekk

AAAI23_CAT

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

AvatarCLIP

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation

Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

bassl

Development-Environment

개발환경을 구축해보자

TNIP

Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA

VVS

[AAAI-24] VVS : Video-to-Video Retrieval With Irrelevant Frame Suppression

LimGeunTaekk/test

test

LimGeunTaekk/AAAI23_CAT

LimGeunTaekk/ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

LimGeunTaekk/annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

LimGeunTaekk/AvatarCLIP

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

LimGeunTaekk/Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

LimGeunTaekk/Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation

Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

LimGeunTaekk/bassl

LimGeunTaekk/CoLA

[CVPR2021] CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

LimGeunTaekk/decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

LimGeunTaekk/Deep-Learning-with-Pytorch

pytorch study

LimGeunTaekk/FAME

Code for Motion-aware Contrastive Video Representation Learning via Foreground-background Merging (CVPR 2022)

LimGeunTaekk/HiCo

CVPR2022:Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency

LimGeunTaekk/detr

End-to-End Object Detection with Transformers

LimGeunTaekk/ECCV2022-DELU

[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization

LimGeunTaekk/LimGeunTaekk

LimGeunTaekk/Misc-Cheatsheet

대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)

LimGeunTaekk/ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

LimGeunTaekk/mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

LimGeunTaekk/pcme

LimGeunTaekk/Scene-Graph-Benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

LimGeunTaekk/SceneSeg

Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

LimGeunTaekk/SceneSegmentation-SCRL

Code for CVPR 2022 paper "Scene Consistency Representation Learning for Video Scene Segmentation"

LimGeunTaekk/Self-Contained-Video-Entity-Discovery

This is the official implementation and benchmark of the "Self-Contained Entity Discovery in Captioned Videos" paper.paper

LimGeunTaekk/SHG-VQA

Learning Situation Hyper-Graphs for Video Question Answering

LimGeunTaekk/SogCLR

Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.

LimGeunTaekk/TranS4mer

LimGeunTaekk/VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

LimGeunTaekk/VLM_survey

Collection of AWESOME vision-language models for vision tasks

LimGeunTaekk/VStates

Video Evnet Extraction via Tracking Visual States of Arguments (AAAI2023)