Simon4Yan
PhD in Machine Learning | Research Fellow@ANU | Predicting Model Generalization | 3D content Modeling & Generation | Build a Machine That Can See and Generalize
Australian National UniversityCanberra
Pinned Repositories
Accuracy-estimation-with-self-supervision
[ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
bolei_awesome_posters
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
DANCE
repository for Universal Domain Adaptation through Self-supervision
eSPGAN
We extend the SPGAN (our prior work in CVPR2018) to an end-to-end version, named eSPGAN. https://arxiv.org/pdf/1811.10551.pdf
feature_learning
2019 AI City Challenge in CVPR'19, Track 2, 3rd place
Learning-via-Translation
SPGAN in CVPR'18
Meta-set
Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
Person_reID_baseline_pytorch
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
VisDA2020
VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
VisDA2020_Code_From_Top_Teams
The code from the top teams in the VisDA-2020 Challenge in ECCV'20
Simon4Yan's Repositories
Simon4Yan/Learning-via-Translation
SPGAN in CVPR'18
Simon4Yan/VisDA2020
VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
Simon4Yan/eSPGAN
We extend the SPGAN (our prior work in CVPR2018) to an end-to-end version, named eSPGAN. https://arxiv.org/pdf/1811.10551.pdf
Simon4Yan/VisDA2020_Code_From_Top_Teams
The code from the top teams in the VisDA-2020 Challenge in ECCV'20
Simon4Yan/Meta-set
Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
Simon4Yan/Accuracy-estimation-with-self-supervision
[ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
Simon4Yan/feature_learning
2019 AI City Challenge in CVPR'19, Track 2, 3rd place
Simon4Yan/Person_reID_baseline_pytorch
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
Simon4Yan/bolei_awesome_posters
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
Simon4Yan/DANCE
repository for Universal Domain Adaptation through Self-supervision
Simon4Yan/domainbed_measures
Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021
Simon4Yan/Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Simon4Yan/SVDNet-for-Pedestrian-Retrieval
Code for https://arxiv.org/abs/1703.05693