Fabio Poiesi
Scholar

Fabio Poiesi

Google Scholar ID: BQ7li6AAAAAJ
Fondazione Bruno Kessler
Computer Vision
Citations & Impact
All-time
Citations
1,707
 
H-index
18
 
i10-index
35
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Published work on Novel Class Discovery (NCD) for point cloud semantic segmentation in International Journal of Computer Vision (IJCV), June 2024.
  • Proposed an augmentation-free unsupervised point cloud representation learning method using clustering and neural rendering (IJCV, March 2024).
  • Introduced the first unsupervised domain adaptation technique for point cloud segmentation via compositional semantic mixing in IEEE TPAMI (December 2023).
  • Authored the first comprehensive survey on Moving Camera Video Anomaly Detection (MC-VAD) in Artificial Intelligence Review (October 2023).
  • Developed PatchMixer, a simple yet effective architecture for 3D point cloud understanding that enhances robustness to partial inputs (Image and Vision Computing, September 2023).
  • Designed an attentive multimodal fusion network for optical flow estimation from RGB and depth data using self- and cross-attention (IEEE RAL, July 2023).
  • Contributed to retinal layer segmentation in human eyes by leveraging multi-granularity visual features.