activity
20172022
most citedCross-Modality Deep Feature Learning for Brain Tumor Segmentation

290 citations · 711 across the 16 of their papers we have counts for

collaborators

18 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

Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction

De Cheng, Yan Li, Dingwen Zhang +3

Single image dehazing as a fundamental low-level vision task, is essential for the development of robust intelligent surveillance system. In this paper, we make an early effort to…

cs.CV2022

Hybrid Routing Transformer for Zero-Shot Learning

De Cheng, Gerong Wang, Bo Wang +3

Zero-shot learning (ZSL) aims to learn models that can recognize unseen image semantics based on the training of data with seen semantics. Recent studies either leverage the global…

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…