2.4k citations · 7.8k across the 82 of their papers we have counts for
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SAGA: Stochastic Whole-Body Grasping with Contact
Yan Wu, Jiahao Wang, Yan Zhang +4
The synthesis of human grasping has numerous applications including AR/VR, video games and robotics. While methods have been proposed to generate realistic hand-object interaction…
Mask Transfiner for High-Quality Instance Segmentation
Lei Ke, Martin Danelljan, Xia Li +3
Two-stage and query-based instance segmentation methods have achieved remarkable results. However, their segmented masks are still very coarse. In this paper, we present Mask Trans…
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
Andreas Lugmayr, Martin Danelljan, Fisher Yu +2
Super-resolution is an ill-posed problem, where a ground-truth high-resolution image represents only one possibility in the space of plausible solutions. Yet, the dominant paradigm…
Dense Prediction with Attentive Feature Aggregation
Yung-Hsu Yang, Thomas E. Huang, Min Sun +3
Aggregating information from features across different layers is an essential operation for dense prediction models. Despite its limited expressiveness, feature concatenation domin…
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
Rui Gong, Martin Danelljan, Dengxin Dai +4
Traditional domain adaptive semantic segmentation addresses the task of adapting a model to a novel target domain under limited or no additional supervision. While tackling the inp…
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
Goutam Bhat, Martin Danelljan, Fisher Yu +2
We propose a deep reparametrization of the maximum a posteriori formulation commonly employed in multi-frame image restoration tasks. Our approach is derived by introducing a learn…