Samuel Schulter
Amazon (Germany)(DE)
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition
Most-Cited Works
- → Fast and accurate image upscaling with super-resolution forests(2015)662 cited
- → You Should Use Regression to Detect Cells(2015)119 cited
- → Conditioned Regression Models for Non-blind Single Image Super-Resolution(2015)106 cited
- → Exploiting Unlabeled Data with Vision and Language Models for Object Detection(2022)89 cited
- → Shuffle and Attend: Video Domain Adaptation(2020)88 cited
- → Learning to Adapt Structured Output Space for Semantic Segmentation(2018)68 cited
- → Alternating Decision Forests(2013)67 cited
- → Object Detection with a Unified Label Space from Multiple Datasets(2020)58 cited
- → MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation(2022)56 cited
- → Domain Adaptation for Structured Output via Discriminative Patch Representations(2019)47 cited