3 papers
cs.CV2026
VisTa3D: A Dataset and Benchmark for Thin Object Reconstruction from Vision, Tactile, and 3D Point Clouds
Shania Guo, Yeongsik Seo, Andrew Fu +7
State-of-the-art 3D reconstruction models, whether from visual, range, or both, tend to underperform on thin objects. This is partially due to the small amount of space such object…
cs.LG2026
Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data
Sudeepta Mondal, Xinyi Mary Xie, Ruxiao Duan +2
Existing out-of-distribution (OOD) detectors are often tuned by a separate dataset deemed OOD with respect to the training distribution of a neural network (NN). OOD detectors proc…
cs.LG2025
An Information-Theoretic Framework for Feature Construction in Out-of-Distribution Detection
Sudeepta Mondal, Xinyi, Xie +2
We present a theory for the construction of out-of-distribution (OOD) detection features for neural networks. We introduce random features for OOD through a novel information-theor…