Year | Conference | Paper Name | Topic | Links |
---|---|---|---|---|
2015 | ICLR | Very Deep Convolutional Networks for Large-Scale Image Recognition | CNN | Paper, Review |
2016 | CVPR | Deep Residual Learning for Image Recognition | CNN | Paper, Review |
2015 | NIPS | Spatial Transformer Networks | CNN Limitation | Paper, Review |
2016 | ECCV | Accelerating the Super-Resolution Convolutional Neural Network | Single image SR | Paper, Review |
2015 | CVPR | Fully Convolutional Networks for Semantic Segmentation | Semantic segmentation | Paper, Review |
2016 | ICLR | Multi-Scale Context Aggregation by Dilated Convolutions | Semantic segmentation | Paper, Review |
2016 | CVPR | You Only Look Once: Unified, Real-Time Object Detection | Object detection | Paper |
2016 | CVPR | Learning Deep Features for Discriminative Localization | CNN Interpretation & Attention | Paper, Review |
2017 | ICCV | Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization | CNN Interpretation & Attention | Paper, Review |
2016 | CVPR | Image Style Transfer Using Convolutional Neural Networks | Graphics (Style transfer) | Paper |
2016 | ECCV | Perceptual Losses for Real-Time Style Transfer and Super-Resolution | Graphics (Style transfer) | Paper |
2014 | NIPS | Generative Adversarial Nets | GAN | Paper, Review |
2016 | ICLR | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks | GAN | Paper |
2017 | CVPR | Image-to-Image Translation with Conditional Adversarial Networks | GAN | Paper |
2017 | ICCV | Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks | GAN | Paper |
Year | Conference | Paper Name | Links |
---|---|---|---|
2014 | CVPR | DeepPose: Human Pose Estimation via Deep Neural Networks | Paper, Review |
2015 | CVPR | Efficient Object Localization Using Convolutional Networks | Paper, Review |
2019 | CVPR | Deep High-Resolution Representation Learning for Human Pose Estimation | Paper, Review |
Year | Conference | Paper Name | Links |
---|---|---|---|
2018 | AAAI | Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | Paper, Review |
2019 | CVPR | Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition | Paper |
2019 | CVPR | Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition | Paper, Review |
Year | Conference | Paper Name | Links |
---|---|---|---|
2019 | VCIP | Facial Motion Prior Networks for Facial Expression Recognition | Paper, Review |
Year | Conference | Paper Name | Links |
---|---|---|---|
2017 | CVPR | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | Paper, Review |
2017 | NIPS | PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | Paper, Review |
2019 | CVPR | PointConv: Deep Convolutional Networks on 3D Point Clouds | Paper, Review |
2022 | ICLR | Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework | Paper, Review |
2018 | CVPR | VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection | Paper, Review |
2020 | CVPR | PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection | Paper, Review |
2019 | CVPR | JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields | Paper, Review |
2020 | CVPR | PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation | Paper, Review |
2019 | ICCV | PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows | Paper, Review |
Year | Conference | Paper Name | Links |
---|---|---|---|
2018 | ECCV | MVSNet: Depth Inference for Unstructured Multi-view Stereo | Paper, Review |
Type | Paper Lists | Link |
---|---|---|
GAN | PGGAN, StyleGAN(1,2), WGAN, WGAN-GP | My Review |
VAE | VAE, VQVAE, β-VAE | My Review |
Autoregressive | PixelSNAIL, PixelCNN++, Gated-PixelCNN | - |
Flow-based | Glow, NICE, RealNVP | My Review |