801 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH39 papers
- Chinese University of Hong KongHK6 papers
- KU LeuvenBE6 papers
- Shenzhen Institutes of Advanced TechnologyCN5 papers
- Chinese Academy of SciencesCN4 papers
- Imperial College LondonGB3 papers
- Johns Hopkins UniversityUS3 papers
- Nanjing UniversityCN2 papers
- Technical University of MunichDE2 papers
- University of California, IrvineUS2 papers
- University of Chinese Academy of SciencesCN2 papers
- University of Electronic Science and Technology of ChinaCN2 papers
7 papers · 2 filters
EDN: Salient Object Detection via Extremely-Downsampled Network
Yu-Huan Wu, Yun Liu, Le Zhang +2
Recent progress on salient object detection (SOD) mainly benefits from multi-scale learning, where the high-level and low-level features collaborate in locating salient objects and…
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance
Mareike Thies, Jan-Nico Zäch, Cong Gao +4
During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomograp…
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke +3
With the advent of deep learning, many dense prediction tasks, i.e. tasks that produce pixel-level predictions, have seen significant performance improvements. The typical approach…
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis, Andrés Romero, Iason Kastanis +2
Recent advances in image generation gave rise to powerful tools for semantic image editing. However, existing approaches can either operate on a single image or require an abundanc…
Geometrically Mappable Image Features
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +1
Vision-based localization of an agent in a map is an important problem in robotics and computer vision. In that context, localization by learning matchable image features is gainin…
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li, Shuhang Gu, Christoph Mayer +2
In this paper, we analyze two popular network compression techniques, i.e. filter pruning and low-rank decomposition, in a unified sense. By simply changing the way the sparsity re…
DHP: Differentiable Meta Pruning via HyperNetworks
Yawei Li, Shuhang Gu, Kai Zhang +2
Network pruning has been the driving force for the acceleration of neural networks and the alleviation of model storage/transmission burden. With the advent of AutoML and neural ar…