Albert0147
Ph.D., Research Scientist in Sony Tokyo. Currently work on audio-visual generation.
SonyTokyo
Pinned Repositories
AaD_SFDA
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
albert0147.github.io
Awesome-Incremental-Learning
Awesome Incremental Learning
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
BAIT_SFUDA
Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Deeplab-LargeFOV-Attention
Pytorch Implementation of Deeplab-LargeFov
G-SFDA
code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
NRC_SFDA
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
OneRing_SF-OPDA
Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'
Albert0147's Repositories
Albert0147/G-SFDA
code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
Albert0147/NRC_SFDA
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
Albert0147/AaD_SFDA
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
Albert0147/OneRing_SF-OPDA
Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'
Albert0147/BAIT_SFUDA
Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Albert0147/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Albert0147/albert0147.github.io
Albert0147/Awesome-Incremental-Learning
Awesome Incremental Learning
Albert0147/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Albert0147/CLIP
Contrastive Language-Image Pretraining
Albert0147/DANCE
repository for Universal Domain Adaptation through Self-supervision
Albert0147/idapt
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)
Albert0147/introRL
Intro to Reinforcement Learning (强化学习纲要)
Albert0147/lab
Albert0147/LiteratureDL4Graph
Albert0147/lumo-implement
Albert0147/MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
Albert0147/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Albert0147/NCL
Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
Albert0147/OVANet
Repository for OVANet
Albert0147/pacl
Albert0147/PointDAN
Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
Albert0147/pygcn
Graph Convolutional Networks in PyTorch
Albert0147/RLexample
Some basic examples of playing with RL
Albert0147/SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
Albert0147/SSDA_MME
Semi-supervised Domain Adaptation via Minimax Entropy
Albert0147/stable-diffusion
A latent text-to-image diffusion model
Albert0147/starter-academic
Albert0147/website
Albert0147/zsseg.baseline
Zero-Shot Semantic Segmentation