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20232026
most citedRobot Metabolism: Towards machines that can grow by consuming other machines

4 citations · 12 across the 28 of their papers we have counts for

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cs.CV2026

The 10th AI City Challenge

Zheng Tang, Shuo Wang, David C. Anastasiu +34

The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI. Since its 2017 start with v…

cs.CV2026

Mirage Probes: How Vision Models Fake Visual Understanding

Daniel Ben-Levi, Judah Goldfeder, Weiliang Zhao +5

Vision-language models (VLMs) can answer image-based questions confidently, and often correctly, even when no image is provided. This mirage behavior inflates benchmark scores with…

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.CV2025★ 1 cited

Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics

Matthew So, Judah Goldfeder, Mark Lis +1

There has been a historic assumption that the biometrics of an individual are statistically uncorrelated. We test this assumption by training Bi-Encoder networks on three verificat…

cs.CV2025

LyTimeT: Towards Robust and Interpretable State-Variable Discovery

Kuai Yu, Crystal Su, Xiang Liu +3

Extracting the true dynamical variables of a system from high-dimensional video is challenging due to distracting visual factors such as background motion, occlusions, and texture…