1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation
Ruitao Xie, Limai Jiang, Xiaoxi He +2
Machine-based brain tumor segmentation can help doctors make better diagnoses. However, the complex structure of brain tumors and expensive pixel-level annotations present challeng…
cs.CV2024
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks
Yi Pan, Jun-Jie Huang, Zihan Chen +2
Robust and imperceptible adversarial video attack is challenging due to the spatial and temporal characteristics of videos. The existing video adversarial attack methods mainly tak…
cs.LG2023★ 1 cited
Intelligent gradient amplification for deep neural networks
Sunitha Basodi, Krishna Pusuluri, Xueli Xiao +1
Deep learning models offer superior performance compared to other machine learning techniques for a variety of tasks and domains, but pose their own challenges. In particular, deep…