650 citations · 762 across the 17 of their papers we have counts for
9 papers · 1 filter
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
Sascha Rosbach, Vinit James, Simon Großjohann +3
General-purpose planning algorithms for automated driving combine mission, behavior, and local motion planning. Such planning algorithms map features of the environment and driving…
Markov Decision Process for Video Generation
Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth
We identify two pathological cases of temporal inconsistencies in video generation: video freezing and video looping. To better quantify the temporal diversity, we propose a class…
Deep Video Deblurring: The Devil is in the Details
Jochen Gast, Stefan Roth
Video deblurring for hand-held cameras is a challenging task, since the underlying blur is caused by both camera shake and object motion. State-of-the-art deep networks exploit tem…
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings
Shweta Mahajan, Teresa Botschen, Iryna Gurevych +1
One of the key challenges in learning joint embeddings of multiple modalities, e.g. of images and text, is to ensure coherent cross-modal semantics that generalize across datasets.…
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler +1
Dense prediction tasks typically employ encoder-decoder architectures, but the prevalent convolutions in the decoder are not image-adaptive and can lead to boundary artifacts. Diff…
CVPR19 Tracking and Detection Challenge: How crowded can it get?
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan +6
Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide…