CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Towards Video Captioning with Naming: a Novel Dataset and a Multi-Modal Approach

Modeling Multimodal Cues in a Deep Learning-based Framework for Emotion Recognition in the Wild

Automatic Image Cropping and Selection using Saliency: an Application to Historical Manuscripts

Face Verification from Depth using Privileged Information

Learning to Generate Facial Depth Maps

SHREC 2019 Track: Online Gesture Recognition

M-VAD Names: a Dataset for Video Captioning with Naming

Driver Face Verification with Depth Maps

Hand Gestures for the Human-Car Interaction: the Briareo dataset

Manual Annotations on Depth Maps for Human Pose Estimation

Video Synthesis from Intensity and Event Frames

Mercury: A Vision-Based Framework for Driver Monitoring

Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras

Multimodal Hand Gesture Classification for the Human–Car Interaction

Anomaly Detection for Vision-Based Railway Inspection

Baracca: a Multimodal Dataset for Anthropometric Measurements in Automotive

A Transformer-Based Network for Dynamic Hand Gesture Recognition

Anomaly Detection, Localization and Classification for Railway Inspection

RefiNet: 3D Human Pose Refinementwith Depth Maps

A Systematic Comparison of Depth Map Representations for Face Recognition

Multi-Category Mesh Reconstruction From Image Collections

Unsupervised Detection of Dynamic Hand Gestures from Leap Motion Data

Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts

Talks

Paper presentation at ICMI 2017

November 17, 2017

Talk at International Conference on Multimodal Interaction (ICMI), Glasgow, UK

Paper presentation at BMVC 2018

September 06, 2018

Talk at British Machine Vision Conference (BMVC), Newcastle, UK

Presentation at the Reading Group of VISMAC 2018

October 01, 2018

Reading Group Presentation at Machine and Vision Intelligence (VISMAC), Vico Equense (Naples), Italy

From the biological brain to the artificial neural networks - Popular Science Talk

April 06, 2019

Popular Science Talk at Scienza a più voci 2019 - Inco-Scienza, Modena, Italy

Paper presentation at VISAPP 2020

February 28, 2020

Talk at International Conference on Computer Vision Theory and Applications (VISAPP/VISIGRAPP), Valletta, Malta

Paper presentation at IJCB 2020

October 01, 2020

Talk at International Joint Conerence on Biometrics (IJCB), ~~Houston, Texas~~ Online

Paper presentation at ICPR 2020

January 15, 2021

Talk at International Conference of Pattern Recognition (ICPR), ~~Milan, Italy~~ Online

Paper presentation at NeurIPS 2022 Workshop ML4AD

December 03, 2022

Talk at NeurIPS 2022 Workshop on Machine Learning for Autonomous Driving (ML4AD), New Orleans, Louisiana and Online

Teaching

Service and leadership

• Currently signed in to 43 different slack teams