Scholar
Stefano Petrangeli
Google Scholar ID: 7vTUlggAAAAJ
Adobe Systems
Citations & Impact
Citations
1,354
H-index
18
i10-index
31
Publications
20
Co-authors
0
Contact
Publications
Resume
Academic Achievements
- Power Efficient Mobile VTuber Live Streaming (MM Asia, 2025)
- VISIAR: Empower MLLM for Visual Story Ideation (ACL 2025)
- SmartEdit: Editing-driven Engagement Prediction and Enhancement of Short-Videos (ICME 2025)
- DepthScape: Authoring 2.5D Designs with Depth Estimation (CHI 2025)
- Copiloting Creative 3D Scene Modeling and Visualization with Generative Agents (NeurIPS 2024)
- Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior (ICLR 2024)
- Integrating Content Authenticity with DASH Video Streaming (MMSys 2024)
- Active Context Modeling for Efficient Image and Burst Compression (ISM 2023)
- GPU-accelerated Lossless Image Compression with Massive Parallelization (ISM 2023)
- EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution (ISM 2023)
- Content-aware Progressive Image Compression and Syncing (ISM 2023)
- VADER: Video Alignment Differencing and Retrieval (ICCV 2023)
Research Experience
- Interned at Adobe where he worked on 360-degree VR video streaming during his Ph.D.
Education
- Ph.D. in Computer Science Engineering from Ghent University (Belgium) in 2018, focusing on the optimal delivery of adaptive video streaming services.
Background
- Senior Research Scientist at the REAL Lab in Adobe Research. His current research work is primarily on (i) creating LLM-based AI Assistants to make content creation and editing faster and more accessible, leveraging planning & reasoning techniques, (ii) improving content using behavioral data analytics.