Showcases ongoing, and completed projects within various research themes.
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Updated
Dec 28, 2022
Showcases ongoing, and completed projects within various research themes.
self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"
This is an unofficial Python demo of the Self-Supervised Label Generator (SSLG), presented in "Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs. Our SSLG can be used effectively for self-supervised drivable area and road anomaly segmentation based on RGB-D data".
Focus on Vision Representation Learning, towards Robust general vision
Pytorch Implementation of popular self-supervised models
Reproduction code for "Putting An End to End-to-End: Gradient-Isolated Learning of Representations"
This repo contains code used in the paper "Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection"
Self-supervised Video Representation learning
A research on self-supervised learning with the interest of applying it into NLP field.
MASSRL (Mulit-Augmentation Strategies on Searched and Random Augmentation Policies) Self-supervised visual representation learning.
Implements and analyses frame-to-frame pixel reprojection for the Hypersim Evermotion data set.
The Pytorch implementation on DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Zero-shot image restoration with embedded Richardson-Lucy deconvolution
Pytorch implementation of the paper, "Bootstrap Your Own Latent A New Approach to Self-Supervised Learning", or BYOL, https://arxiv.org/pdf/2006.07733v3.pdf
Introduction page of the coming tutorial "Self-Supervised Learning in Recommendation: Fundamentals and Advances" at The Web Conference (WWW) 2022
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
Overview of self-supervised learning of tiny models, including distillation-based methods (aks. self-supervised distillation) and non-distillation methods.
Official Implementation of our paper "Supervision meets Self-Supervision: A Deep Multitask Network for Colorectal Cancer Histopathological Analysis" [Best Paper Award at MISP 2022]
Pytorch implementation of the paper, "A Simple Framework for Contrastive Learning of Visual Representations", or SimCLR, https://arxiv.org/pdf/2002.05709.pdf
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