| 2022.00.00 |
PRESENTER |
NAME |
PUBLISHER |
[Slide] |
| 2022.12.04 |
Minho Park |
DiffusionDet: Diffusion Model for Object Detection |
Arxiv |
Slide |
| 2022.09.25 |
Minho Park |
Vision Transformer Adapter for Dense Predictions |
Arxiv |
Slide |
| 2022.08.01 |
Minho Park |
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions |
NIPS 2021 |
Slide |
| 2022.06.26 |
Minho Park |
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows |
ICCV 2021 |
Slide |
| 2022.06.19 |
Minho Park |
Denoising Diffusion Probabilistic Models |
NIPS 2020 |
Slide |
| 2022.06.12 |
Minho Park |
Generative Modeling by Estimating Gradients of the Data Distribution |
NIPS 2019 |
Slide |
| 2022.06.05 |
Minho Park |
Pretraining is All You Need for Image-to-Image Translation |
Arxiv |
Slide |
| 2022.05.15 |
Minho Park |
Alias-Free Generative Adversarial Networks |
NIPS 2021 |
Slide |
| 2022.05.01 |
Minho Park |
Instance-Conditioned GAN |
NIPS 2021 |
Slide |
| 2022.04.17 |
Minho Park |
EditGAN: High-Precision Semantic Image Editing |
NIPS 2021 |
Slide |
| 2022.04.10 |
Minho Park |
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis |
ICLR 2021 |
Slide |
| 2022.04.03 |
Minho Park |
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization |
CVPR 2021 |
Slide |
| 2022.03.29 |
Minho Park |
Semantic Image Synthesis with Spatially-Adaptive Normalization |
CVPR 2019 |
Slide |
| 2022.02.13 |
Minho Park |
Masked Autoencoders Are Scalable Vision Learners |
Arxiv |
Slide |
| 2022.02.06 |
Minho Park |
Meta Pseudo Labels |
CVPR 2021 |
Slide |
| 2022.01.23 |
Minho Park |
Plenoxels: Radiance Fields without Neural Networks |
Arxiv |
Slide |
| 2022.01.16 |
Minho Park |
Florence: A New Foundation Model for Computer Vision |
ICML 2021 |
Slide |
| 2022.01.09 |
Minho Park |
Learning Transferable Visual Models From Natural Language Supervision |
ICML 2021 |
Slide |