Tomas Pfister
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, Multimodal Machine Learning Applications
Most-Cited Works
- → CutPaste: Self-Supervised Learning for Anomaly Detection and Localization(2021)857 cited
- → A Spontaneous Micro-expression Database: Inducement, collection and baseline(2013)637 cited
- → Learning to Prompt for Continual Learning(2022)599 cited
- → Flowing ConvNets for Human Pose Estimation in Videos(2015)507 cited
- → Recognising spontaneous facial micro-expressions(2011)425 cited
- Towards reading hidden emotions:a comparative study of spontaneous micro-expression spotting and recognition methods(2018)
- → DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning(2022)346 cited
- → A Simple Semi-Supervised Learning Framework for Object Detection(2020)325 cited
- → Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes(2023)220 cited
- → Learning from Simulated and Unsupervised Images through Adversarial Training(2017)195 cited