IoannaNti's Stars
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
leonidk/leonidk.github.io
a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates
NickyFot/EmoCommonSense
Official Repository for VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
wei-tim/YOWO
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
joslefaure/HIT
Official Implementation of our WACV2023 paper: “Holistic Interaction Transformer Network for Action Detection”
ESanchezLozano/ACAR-Net
[CVPR 2021] Actor-Context-Actor Relation Network for Spatio-temporal Action Localization
ESanchezLozano/ESanchezLozano.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
alexandrosXe/A-Simple-Baseline-For-Knowledge-Based-VQA
Repo for the EMNLP 2023 paper "A Simple Knowledge-Based Visual Question Answering"
NickyFot/EmoCLIP
saic-fi/Bayesian-Prompt-Learning
[ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization
facebookresearch/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
lucidrains/linformer
Implementation of Linformer for Pytorch
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
AlexHex7/Non-local_pytorch
Implementation of Non-local Block.
chentinghao/download_google_drive
Download files from Google Drive using Python 2 or Python 3
EvelynFan/AWESOME-MER
🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬
kuan-wang/pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
chawins/Adversarial-Examples-Reading-List
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
ESanchezLozano/SAIC-Unsupervised-landmark-detection-NeurIPS2019
Code for paper "Object landmark discovery through unsupervised adaptation"
ESanchezLozano/iCCR
Face Tracking library using iCCR
ESanchezLozano/StarGAN-with-Triple-Consistency-Loss
StarGAN with a triple consistency loss
ESanchezLozano/GANnotation
GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
ESanchezLozano/Action-Units-Heatmaps
Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"
princeton-vl/pose-hg-train
Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"
dimkastan/demos
Demos and tutorials for Torch7.
dimkastan/PyTorch-Spectral-clustering
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch