650 citations · 759 across the 14 of their papers we have counts for
37 papers · 1 filter
Efficient Feature Extraction for High-resolution Video Frame Interpolation
Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Most deep learning methods for video frame interpolation consist of three main components: feature extraction, motion estimation, and image synthesis. Existing approaches are mainl…
-Flow: Joint Semantic and Style Editing of Facial Images
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
The high-quality images yielded by generative adversarial networks (GANs) have motivated investigations into their application for image editing. However, GANs are often limited in…
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
Shweta Mahajan, Stefan Roth
Autoregressive models are a class of exact inference approaches with highly flexible functional forms, yielding state-of-the-art density estimates for natural images. Yet, the sequ…
TxT: Crossmodal End-to-End Learning with Transformers
Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych +1
Reasoning over multiple modalities, e.g. in Visual Question Answering (VQA), requires an alignment of semantic concepts across domains. Despite the widespread success of end-to-end…
Self-Supervised Multi-Frame Monocular Scene Flow
Junhwa Hur, Stefan Roth
Estimating 3D scene flow from a sequence of monocular images has been gaining increased attention due to the simple, economical capture setup. Owing to the severe ill-posedness of…
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov, Stefan Roth
We propose an approach to domain adaptation for semantic segmentation that is both practical and highly accurate. In contrast to previous work, we abandon the use of computationall…