99 citations · 304 across the 47 of their papers we have counts for
8 papers · 1 filter
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
Climate change is expected to intensify and increase extreme events in the weather cycle. Since this has a significant impact on various sectors of our life, recent works are conce…
Robust Action Segmentation from Timestamp Supervision
Yaser Souri, Yazan Abu Farha, Emad Bahrami +2
Action segmentation is the task of predicting an action label for each frame of an untrimmed video. As obtaining annotations to train an approach for action segmentation in a fully…
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter +2
This paper introduces a unified framework for video action segmentation via sequence to sequence (seq2seq) translation in a fully and timestamp supervised setup. In contrast to cur…
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis
Shijie Li, Ming-Ming Cheng, Juergen Gall
The goal of semantic image synthesis is to generate photo-realistic images from semantic label maps. It is highly relevant for tasks like content generation and image editing. Curr…
Self-supervised Learning for Unintentional Action Prediction
Olga Zatsarynna, Yazan Abu Farha, Juergen Gall
Distinguishing if an action is performed as intended or if an intended action fails is an important skill that not only humans have, but that is also important for intelligent syst…
One-Shot Synthesis of Images and Segmentation Masks
Vadim Sushko, Dan Zhang, Juergen Gall +1
Joint synthesis of images and segmentation masks with generative adversarial networks (GANs) is promising to reduce the effort needed for collecting image data with pixel-wise anno…