Yuki M. Asano

Less than Few: Self-Shot Video Instance Segmentation

2022 · arXiv (Cornell University)

The goal of this paper is to bypass the need for labelled examples in few-shot video understanding at run time. While proven effective, in many practical video settings even labelling a few examples appears unrealistic. …

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations

2023 · arXiv (Cornell University)

Spatially dense self-supervised learning is a rapidly growing problem domain with promising applications for unsupervised segmentation and pretraining for dense downstream tasks. Despite the abundance of temporal data in the form of videos, this information-rich …