650 citations · 762 across the 17 of their papers we have counts for
5 papers · 1 filter
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…
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
Jannik Schmitt, Stefan Roth
To adopt neural networks in safety critical domains, knowing whether we can trust their predictions is crucial. Bayesian neural networks (BNNs) provide uncertainty estimates by ave…