178 citations · 306 across the 7 of their papers we have counts for
7 papers
Improved test-retest reliability of and susceptibility quantification using multi-shot multi echo 3D EPI
Yujia Huang, Lin Chen, Xu Li +1
This study aimed to evaluate the potential of 3D echo-planar imaging (EPI) for improving the reliability of -weighted () data and quantification of …
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang +3
Adversarial purification refers to a class of defense methods that remove adversarial perturbations using a generative model. These methods do not make assumptions on the form of a…
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang, Huan Zhang, Yuanyuan Shi +2
Certified robustness is a desirable property for deep neural networks in safety-critical applications, and popular training algorithms can certify robustness of a neural network by…
Neural Networks with Recurrent Generative Feedback
Yujia Huang, James Gornet, Sihui Dai +4
Neural networks are vulnerable to input perturbations such as additive noise and adversarial attacks. In contrast, human perception is much more robust to such perturbations. The B…
Out-of-Distribution Detection Using Neural Rendering Generative Models
Yujia Huang, Sihui Dai, Tan Nguyen +2
Out-of-distribution (OoD) detection is a natural downstream task for deep generative models, due to their ability to learn the input probability distribution. There are mainly two…
Semantic-driven Generation of Hyperlapse from Video
Wei-Sheng Lai, Yujia Huang, Neel Joshi +3
We present a system for converting a fully panoramic () video into a normal field-of-view (NFOV) hyperlapse for an optimal viewing experience. Our system exploits visual…
Pose Invariant Embedding for Deep Person Re-identification
Liang Zheng, Yujia Huang, Huchuan Lu +1
Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a critical problem for a robust person re-identification (re-ID) system. With bad alignmen…