Rob Fergus

Publications by Year

Research Areas

Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Reinforcement Learning in Robotics, Advanced Vision and Imaging, Image Retrieval and Classification Techniques

Most-Cited Works

• → Visualizing and Understanding Convolutional Networks(2014)15,258 cited
• → Learning Spatiotemporal Features with 3D Convolutional Networks(2015)9,548 cited
• → Intriguing properties of neural networks(2013)5,706 cited
• → Indoor Segmentation and Support Inference from RGBD Images(2012)5,533 cited
• → One-shot learning of object categories(2006)3,040 cited
• → Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences(2021)2,900 cited
• → Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture(2015)2,864 cited
• → Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories(2005)2,438 cited
• Depth Map Prediction from a Single Image using a Multi-Scale Deep Network(2014)
• Spectral Hashing(2008)