
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2021 | CVPR | How_Privacy-Preserving_Are_Line_Clouds_Recovering_Scene_Details_From_3D | Link |
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2009 | ICRA | Fast Point Feature Histograms(FPFH) for 3D Registraion | ||
| 2017 | CVPR | 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions | ||
| 2020 | ECCV | DeepSFM: Structure from Motion via Deep Bundle Adjustement | ||
| 2022 | CVPR | DeepSFM: Structure from Motion via Deep Bundle Adjustement |
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2007 | T-RO | Improved Techniques for Grid Mapping with Rao-Blackwellized Particle Filters | Link | Link |
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2013 | arXiv | Intriguing properties of neural networks | ||
| 2014 | arXiv | Explaining and Harnessing Adversarial Examples (FGSM) | ||
| 2016 | CVPR | DeepFool: a simple and accurate method to fool deep neural networks | Link | |
| 2017 | CVPR | Universal Adversarial Perturbation | Link | |
| 2018 | ACM | Practical black-box attacks against machine learning | ||
| 2018 | ICLR | DECISION-BASED ADVERSARIAL ATTACKS :RELIABLE ATTACKS AGAINST BLACK-BOX MACHINE LEARNING MODELS | Link | |
| 2018 | ICCV | Generative Adversarial Perturbation | Link | Github |
| 2018 | ICCV | NAG: Network for Adversary Generation | ||
| 2019 | CVPR | Generating 3D Adversarial Ponts | ||
| 2021 | CVPR | Natural Adversarial Examples | Link | Github |
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2014 | NIPs | Generative Adversarial Nets | Link | Github |
| 2014 | arXiv | Conditional Generative Adversarial Nets (CGAN) | Link | Github |
| 2016 | ICLR | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGAN) | Link | Github |
| 2017 | CVPR | Image-to-Image Translation with Conditional Adversarial Networks (Pix2Pix) | Link | Github |
| 2017 | ICCV | Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN) | Link | Github |
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2018 | IOP(JNE) | A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces | ||
| 2018 | Human brain mapping | Deep Learning With Convolutional Neural Networks for EEG Decoding and Visualization | ||
| 2021 | Sensors | Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network | ||
| 2021 | IOP(JNE) | Universal adversarial perturbations for CNN classifiers in EEG-based BCIs | Link |
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|
| 년도 | 발표학회 | 제목 | Summary | 실습 |
|---|---|---|---|---|
| 2021 | CVPR | RepVGG: Making VGG-style ConvNets Great Again | Link | Github |
| 2021 | CVPR | Meta Pseudo Label |
안녕하세요 현재 로봇공학과에 재학중인 학생입니다! 혹시 논문 리뷰할 때 어떻게 하시는지 알 수 있을까요?