- Distinctive Image Features from Scale-Invariant Keypoints
- Histograms of Oriented Gradients for Human Detection
- Photo Tourism: Exploring Photo Collections in 3D
- Structured Learning and Prediction in Computer Vision
- The PASCAL Visual Object Classes (VOC) Challenge
- ImageNet: A Large-Scale Hierarchical Image Database
- ImageNet Classification with Deep Convolutional Neural Networks
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- Visualizing and Understanding Convolutional Networks
- Microsoft COCO: Common Objects in Context
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
- On Learning Sets of Symmetric Elements
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
- Generative Pretraining from Pixels
- EfficientDet: Scalable and Efficient Object Detection
- Training Generative Adversarial Networks with Limited Data
- Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- Adversarial Latent Autoencoders
- 3D Photography using Context-aware Layered Depth Inpainting