Name: S. Ging
Type: User
Company: University of Freiburg, Department of Computer Science
Bio: Doctoral Researcher in Vision-Language Learning. Experience in Image-Text Retrieval, Video Captioning, LLMs
Location: Germany
Blog: https://lmb.informatik.uni-freiburg.de/people/gings/
S. Ging's Projects
CLIP-like model evaluation
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Generate text with large language models
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
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.