2 citations · 3 across the 5 of their papers we have counts for
5 papers
CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities
Moritz Nottebaum, Matteo Dunnhofer, Christian Micheloni
Recent research on vision backbone architectures has predominantly focused on optimizing efficiency for hardware platforms with high parallel processing capabilities. This category…
Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones
Moritz Nottebaum, Matteo Dunnhofer, Christian Micheloni
Vision backbone networks play a central role in modern computer vision. Enhancing their efficiency directly benefits a wide range of downstream applications. To measure efficiency,…
Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory
Zaira Manigrasso, Matteo Dunnhofer, Antonino Furnari +6
Episodic memory retrieval enables wearable cameras to recall objects or events previously observed in video. However, existing formulations assume an "offline" setting with full vi…
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
Moritz Nottebaum, Matteo Dunnhofer, Christian Micheloni
Research in efficient vision backbones is evolving into models that are a mixture of convolutions and transformer blocks. A smart combination of both, architecture-wise and compone…
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…