AJ Piergiovanni
Computer Science · Indiana University
Publications
71
Citations
863
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2015
AJ Piergiovanni works in computer vision and machine learning, focusing on systems that understand both images/videos and language together (called multimodal models). Recent work includes building models that can describe videos, answer questions about them, and align video content with text, as well as scaling up large vision-and-language models. Earlier work also addressed recognizing human actions in videos.
Publication activity peaked around 2018-2022 and has been gradually declining in the most recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
2025
- VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
arXiv (Cornell University) · 2025
- Time-Scaling State-Space Models for Dense Video Captioning
arXiv (Cornell University) · 2025
- On Scaling Up a Multilingual Vision and Language Model
2024
- Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
2024
- SLVP: Self-Supervised Language-Video Pre-Training for Referring Video Object Segmentation
2024
- AViD Dataset: Anonymized Videos from Diverse Countries
TIB Data Manager · 2024
- Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning
arXiv (Cornell University) · 2024
- Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
2023
- PaLI-X: On Scaling up a Multilingual Vision and Language Model
arXiv (Cornell University) · 2023
- MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
arXiv (Cornell University) · 2023
- Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities
arXiv (Cornell University) · 2023
- Joint Adaptive Representations for Image-Language Learning
arXiv (Cornell University) · 2023
- Diversifying Joint Vision-Language Tokenization Learning
arXiv (Cornell University) · 2023
- Video Question Answering with Iterative Video-Text Co-tokenization
Lecture notes in computer science · 2022
- arXiv (Cornell University)×33
- Lecture notes in computer science×5
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- International Journal of Computer Vision×2
- Neural Information Processing Systems×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
Claim or correct this profile