most citedCross-Modality Deep Feature Learning for Brain Tumor Segmentation

290 citations · 390 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Structured Attention Composition for Temporal Action Localization

Le Yang, Junwei Han, Tao Zhao +2

Temporal action localization aims at localizing action instances from untrimmed videos. Existing works have designed various effective modules to precisely localize action instance…

cs.CV20221 cited

Colar: Effective and Efficient Online Action Detection by Consulting Exemplars

Le Yang, Junwei Han, Dingwen Zhang

Online action detection has attracted increasing research interests in recent years. Current works model historical dependencies and anticipate the future to perceive the action ev…

cs.CV202293 cited

Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation

Junwen Pan, Pengfei Zhu, Kaihua Zhang +5

Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a challenging task that…

eess.IV2022290 cited

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Dingwen Zhang, Guohai Huang, Qiang Zhang +3

Recent advances in machine learning and prevalence of digital medical images have opened up an opportunity to address the challenging brain tumor segmentation (BTS) task by using d…

cs.CV20215 cited

Densely Nested Top-Down Flows for Salient Object Detection

Chaowei Fang, Haibin Tian, Dingwen Zhang +3

With the goal of identifying pixel-wise salient object regions from each input image, salient object detection (SOD) has been receiving great attention in recent years. One kind of…