Name: S. Ging
Type: User
Company: University of Freiburg, Department of Computer Science
Bio: MSc 03/2021: Attention-based Video Captioning. Other interests: Joint Video-text Understanding, Unsupervised Learning, Python, React.
Location: Germany
Blog: ging.ai
S. Ging's Projects
CLIP-like model evaluation
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
University Project, Reinforcement Learning with DQN on a modified cartpole scenario.
Modalities for semantic segmentation: Using FlowNet for training a PSPNet - Boschert L, Ging S, Siemund H
Typed conversion of dictionaries to attrs instances
Extension for python argparse with typehints and typechecks.
Utilities for deep learning on multimodal data.