45 citations · 86 across the 13 of their papers we have counts for
14 papers
Primate vision reveals a missing principle for robust dynamic AI
Matteo Dunnhofer, Christian Micheloni, Kohitij Kar
How does an intelligent visual system combine what objects look like with how they move while remaining robust as appearance changes? We addressed this question by comparing human…
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…
The macaque IT cortex but not current artificial vision networks encode object position in perceptually aligned coordinates
Elizaveta Yakubovskaya, Hamidreza Ramezanpour, Matteo Dunnhofer +1
Efficient interaction with the visual world requires not only accurate object identification but also precise localization of objects in space. While spatial ("where") processing h…
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,…
Modeling Dynamic Computations in the Primate Ventral Visual Stream
Matteo Dunnhofer, Maren Wehrheim, Hamidreza Ramezanpour +2
A major goal of computational neuroscience has been to explain how the primate ventral visual stream (VVS) transforms visual input into temporally evolving neural representations t…
Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
Matteo Dunnhofer, Christian Micheloni, Kohitij Kar
Feedforward artificial neural networks (ANNs) trained on static images remain the dominant models of the the primate ventral visual stream, yet they are intrinsically limited to st…
Is Tracking really more challenging in First Person Egocentric Vision?
Matteo Dunnhofer, Zaira Manigrasso, Christian Micheloni
Visual object tracking and segmentation are becoming fundamental tasks for understanding human activities in egocentric vision. Recent research has benchmarked state-of-the-art met…
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…
Tracking Skiers from the Top to the Bottom
Matteo Dunnhofer, Luca Sordi, Niki Martinel +1
Skiing is a popular winter sport discipline with a long history of competitive events. In this domain, computer vision has the potential to enhance the understanding of athletes' p…
Visualizing Skiers' Trajectories in Monocular Videos
Matteo Dunnhofer, Luca Sordi, Christian Micheloni
Trajectories are fundamental to winning in alpine skiing. Tools enabling the analysis of such curves can enhance the training activity and enrich broadcasting content. In this pape…
Visual Object Tracking in First Person Vision
Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella +1
The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can…
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking
Matteo Dunnhofer, Christian Micheloni
How to combine the complementary capabilities of an ensemble of different algorithms has been of central interest in visual object tracking. A significant progress on such a proble…
Video-Based Reconstruction of the Trajectories Performed by Skiers
Matteo Dunnhofer, Alberto Zurini, Maurizio Dunnhofer +1
Trajectories are fundamental in different skiing disciplines. Tools enabling the analysis of such curves can enhance the training activity and enrich the broadcasting contents. How…