Carl Doersch
Publications by Year
Research Areas
Human Pose and Action Recognition, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications
Most-Cited Works
- → Bootstrap your own latent: A new approach to self-supervised Learning(2020)3,435 cited
- → Unsupervised Visual Representation Learning by Context Prediction(2015)2,670 cited
- → Tutorial on Variational Autoencoders(2016)1,372 cited
- → Data-Efficient Image Recognition with Contrastive Predictive Coding(2019)936 cited
- → What makes Paris look like Paris?(2012)679 cited
- → An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders(2016)503 cited
- Exploiting temporal context for 3D human pose estimation in the wild
- Mid-level Visual Element Discovery as Discriminative Mode Seeking(2013)
- Perceiver IO: A General Architecture for Structured Inputs & Outputs(2021)