About me

I am a computer vision researcher and PhD student in the Machine Learning and Perception Lab at the University of Udine, advised by Christian Micheloni. My research focuses on hardware-efficient neural network design for efficient inference — in particular, building vision backbones that achieve better speed-accuracy trade-offs on real hardware by going beyond traditional multiply-accumulate (MAC) count metrics.

I also work on egocentric vision, video frame interpolation, and object tracking. Previously, I received my M.Sc. in Informatik from TU Darmstadt (2020–2022).

News

  • Jun 2026 Paper CPUBone accepted at CVPR Findings 2026.
  • May 2026 Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones published in IJCV.
  • 2025 Paper on Online Episodic Memory Visual Query Localization accepted at WACV 2026.
  • Sep 2025 T-EVO accepted at ICIAP 2025.
  • March 2025 LowFormer presented at WACV 2025.

Research Interests

Hardware-Efficient Neural Networks Vision Backbones Convolutional & Transformer Architectures Efficient Inference Video Frame Interpolation Object Detection & Tracking Egocentric Vision Person Re-Identification

Publications

CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities
CVPR Findings, 2026
arXiv Code
Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones
International Journal of Computer Vision (IJCV), 2026
arXiv IJCV
Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory
WACV, 2026
arXiv
T-EVO: Tracking in Egovision for Online Visual Episodic Memory
ICIAP, 2025 — Springer LNCS
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones
WACV, 2025
arXiv WACV Code
Efficient Feature Extraction for High-resolution Video Frame Interpolation
BMVC, 2022
arXiv BMVC Code
Person Re-Identification in a Car Seat: Comparison of Cosine Similarity and Triplet Loss based approaches on Capacitive Proximity Sensing data
PETRA, 2021
ACM