emasa
PhD student in Computer Vision, Computer Vision Laboratory, LiU
Linköping UniversityLinköping, Sweden
Pinned Repositories
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
ACE
code for paper [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot] (ICCV 2021, oral))
ADELLO-LTSSL
[ECCV 2024] This repository is the official Pytorch implementation of Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration.
awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
BagofTricks-LT
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
BalPoE-CalibratedLT
This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).
coding-interview-university
A complete computer science study plan to become a software engineer.
CoSSL
Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)
social-relations-recognition-egocentric-photostreams
Final Project - Master in Artificial Intelligence - UPC
UPC-MAI-IMAS
Introduction to Multi-Agents Systems - Master in Artificial Intelligence - UPC
emasa's Repositories
emasa/BalPoE-CalibratedLT
This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).
emasa/ADELLO-LTSSL
[ECCV 2024] This repository is the official Pytorch implementation of Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration.
emasa/parallel-computing-2012-famaf-unc
Parallel Computing 2012 - FaMAF - UNC
emasa/social-relations-recognition-egocentric-photostreams
Final Project - Master in Artificial Intelligence - UPC
emasa/a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
emasa/ACE
code for paper [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot] (ICCV 2021, oral))
emasa/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
emasa/BagofTricks-LT
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
emasa/CoSSL
Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)
emasa/CS229_ML
🍟 Stanford CS229: Machine Learning
emasa/CS236_DGM
🦍 Stanford CS236 : Deep Generative Models
emasa/daso
Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.
emasa/soil-erosion-estimation-microsoft-kinect
Final Project - Soil Erosion Estimation Using a Microsoft Kinect - FaMAF - UNC
emasa/detr
End-to-End Object Detection with Transformers
emasa/lincir
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
emasa/Medium-Tutorials
emasa/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
emasa/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.
emasa/opencon
Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
emasa/PRML
PRML algorithms implemented in Python
emasa/PRML-Solution-Manual
My Own Solution Manual of PRML
emasa/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
emasa/s-clip
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions
emasa/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”
emasa/SEED
Official implementation of SEED-LLaMA (ICLR 2024).
emasa/Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
emasa/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
emasa/TADE-AgnosticLT
This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.
emasa/TRSSL
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
emasa/waspss
Hands-on WASP Summer School 2020