Dan Gnanapragasam — accepted AI-conference papers

2025

TIPS: Text-Image Pretraining with Spatial awareness

Kevis-kokitsi Maninis, Kaifeng Chen, Soham Ghosh, Arjun Karpur, Koert Chen, Ye Xia +8

ICLR 2025poster

While image-text representation learning has become very popular in recent years, existing models tend to lack spatial awareness and have limited direct applicability for dense understanding tasks. For this reason, self-supervised image-only pretraining is still the go-to method for many dense visio…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2022

Kubric: A Scalable Dataset Generator

Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth +28

CVPR 2022poster

Data is the driving force of machine learning, with the amount and quality of training data often being more important for the performance of a system than architecture and training details. But collecting, processing and annotating real data at scale is difficult, expensive, and frequently raises a…

Cited by 249 PDF ↗code ↗Scholar ↗