3 papers
cs.CV2026
Beyond Cropping and Rotation: Automated Evolution of Powerful Task-Specific Augmentations with Generative Models
Judah Goldfeder, Shreyes Kaliyur, Vaibhav Sourirajan +5
Data augmentation has long been a cornerstone for reducing overfitting in vision models, with methods like AutoAugment automating the design of task-specific augmentations. Recent…
cs.RO2025
Knolling Bot: Teaching Robots the Human Notion of Tidiness
Yuhang Hu, Judah Goldfeder, Zhizhuo Zhang +5
For robots to truly collaborate and assist humans, they must understand not only logic and instructions, but also the subtle emotions, aesthetics, and feelings that define our huma…
cs.RO2025
Teaching Robots to Build Simulations of Themselves
Yuhang Hu, Jiong Lin, Hod Lipson
The emergence of vision catalysed a pivotal evolutionary advancement, enabling organisms not only to perceive but also to interact intelligently with their environment. This transf…