Daniel Rossi

PhD Candidate • Efficient Deep Learning • Edge AI • Computer Vision

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Building N. 52, 2nd floor

Via P. Vivarelli, 10

Modena (MO), Italy 12345

I am a final-year PhD Candidate in Artificial Intelligence at the University of Modena and Reggio Emilia, working at AImageLab under the supervision of Prof. Roberto Vezzani.

My research focuses on Efficient Deep Learning and Edge AI deployment. I specialize in designing ultra-lightweight neural networks for computer vision tasks, with applications in surveillance, disaster monitoring, and monocular depth estimation.

Previously, I received my Master’s Degree cum laude with a thesis entitled “3D Human pose estimation from RGB images with Transformers and Deformable Attention”. During this period, I also had the opportunity to work for 6 months as an intern at Toyota Motor Europe in Brussels, focusing on NeRF, Gaussian Splatting, 3D Pose and Hand Estimation.

news

Jul 20, 2025 Released TakuNet source code and pre-trained models on GitHub - 51 stars! :star:
Jul 15, 2025 Autodock Release
Jul 01, 2025 🎉 Selected to attend the International Computer Vision Summer School (ICVSS) 2025 in Catania
Jan 20, 2025 🎉 TakuNet Paper Accepted at WACVW 2025: Breaking the Speed Barrier in Drone Vision
Sep 30, 2024 Concluded collaboration with ProjectRED as Computer Vision & Firmware Engineer after 2 years :rocket:

selected publications

  1. TakuNet: Energy-Efficient Models for Real-Time Aerial Disaster Response and Monitoring on Edge Devices
    Daniel Rossi, Gianluca Filippini, Andrea Torlai, and 2 more authors
    Available at SSRN 5680015, 2025
  2. TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
    Daniel Rossi, Guido Borghi, and Roberto Vezzani
    In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2025