38 citations · 42 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
Pengzhi Li, Yikang Ding, Haohan Wang +2
This paper presents a novel monocular depth estimation method, named ECFNet, for estimating high-quality monocular depth with clear edges and valid overall structure from a single…
Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution
Chonghan Chen, Qi Jiang, Chih-Hao Wang +4
Visual grounding is a task that aims to locate a target object according to a natural language expression. As a multi-modal task, feature interaction between textual and visual inp…
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge, Shlok Mishra, Haohan Wang +2
Unsupervised learning has recently made exceptional progress because of the development of more effective contrastive learning methods. However, CNNs are prone to depend on low-lev…