16 citations · 16 across the 4 of their papers we have counts for
5 papers
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
Runkai Zheng, Vishnu Asutosh Dasu, Yinong Oliver Wang +2
Modern machine learning models heavily rely on large datasets that often include sensitive and private information, raising serious privacy concerns. Differentially private (DP) da…
Unsupervised Model Diagnosis
Yinong Oliver Wang, Eileen Li, Jinqi Luo +2
Ensuring model explainability and robustness is essential for reliable deployment of deep vision systems. Current methods for evaluating robustness rely on collecting and annotatin…
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty, Yinong Wang, Jialu Gao +3
The widespread success of deep learning models today is owed to the curation of extensive datasets significant in size and complexity. However, such models frequently pick up inher…
Generalizable Human Gaussians for Sparse View Synthesis
Youngjoong Kwon, Baole Fang, Yixing Lu +9
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR,…
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
Haoye Dong, Aviral Chharia, Wenbo Gou +2
3D Hand reconstruction from a single RGB image is challenging due to the articulated motion, self-occlusion, and interaction with objects. Existing SOTA methods employ attention-ba…