most citedFastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation

227 citations · 227 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2019

MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection

Zihao Li, Shu Zhang, Junge Zhang +3

Universal lesion detection (ULD) on computed tomography (CT) images is an important but underdeveloped problem. Recently, deep learning-based approaches have been proposed for ULD,…

cs.GR2019

Point Cloud Super Resolution with Adversarial Residual Graph Networks

Huikai Wu, Junge Zhang, Kaiqi Huang

Point cloud super-resolution is a fundamental problem for 3D reconstruction and 3D data understanding. It takes a low-resolution (LR) point cloud as input and generates a high-reso…

cs.CV2019

SparseMask: Differentiable Connectivity Learning for Dense Image Prediction

Huikai Wu, Junge Zhang, Kaiqi Huang

In this paper, we aim at automatically searching an efficient network architecture for dense image prediction. Particularly, we follow the encoder-decoder style and focus on design…

cs.CV2019227 cited

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation

Huikai Wu, Junge Zhang, Kaiqi Huang +2

Modern approaches for semantic segmentation usually employ dilated convolutions in the backbone to extract high-resolution feature maps, which brings heavy computation complexity a…

cs.CV2019

Transductive Zero-Shot Learning with Visual Structure Constraint

Ziyu Wan, Dongdong Chen, Yan Li +4

To recognize objects of the unseen classes, most existing Zero-Shot Learning(ZSL) methods first learn a compatible projection function between the common semantic space and the vis…