9 citations · 12 across the 4 of their papers we have counts for
4 papers
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
Nikhil Mehta, Kevin J Liang, Jing Huang +3
Out-of-distribution (OOD) detection is an important topic for real-world machine learning systems, but settings with limited in-distribution samples have been underexplored. Such f…
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss
Liping Yin, Albert Chua
In the past decade, exemplar-based texture synthesis algorithms have seen strong gains in performance by matching statistics of deep convolutional neural networks. However, these a…
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
Li Yin, Juan M Perez-Rua, Kevin J Liang
We study the challenging incremental few-shot object detection (iFSD) setting. Recently, hypernetwork-based approaches have been studied in the context of continuous and finetune-f…
Extending One-Stage Detection with Open-World Proposals
Sachin Konan, Kevin J Liang, Li Yin
In many applications, such as autonomous driving, hand manipulation, or robot navigation, object detection methods must be able to detect objects unseen in the training set. Open W…