325 citations · 399 across the 8 of their papers we have counts for
8 papers
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
Xiaoyan Li, Gang Zhang, Hongyu Pan +1
LiDAR semantic segmentation essential for advanced autonomous driving is required to be accurate, fast, and easy-deployed on mobile platforms. Previous point-based or sparse voxel-…
DCI: Discriminative and Contrast Invertible Descriptor
Zhenwei Miao, Kim-Hui Yap, Xudong Jiang +2
Local feature descriptors have been widely used in fine-grained visual object search thanks to their robustness in scale and rotation variation and cluttered background. However, t…
Neuron-level Selective Context Aggregation for Scene Segmentation
Zhenhua Wang, Fanglin Gu, Dani Lischinski +3
Contextual information provides important cues for disambiguating visually similar pixels in scene segmentation. In this paper, we introduce a neuron-level Selective Context Aggreg…
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Jinghua Wang, Zhenhua Wang, Dacheng Tao +2
In this paper, we tackle the problem of RGB-D semantic segmentation of indoor images. We take advantage of deconvolutional networks which can predict pixel-wise class labels, and d…
Recurrent Attentional Networks for Saliency Detection
Jason Kuen, Zhenhua Wang, Gang Wang
Convolutional-deconvolution networks can be adopted to perform end-to-end saliency detection. But, they do not work well with objects of multiple scales. To overcome such a limitat…
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing. Amon…
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang, Xingxing Wang, Gang Wang
We propose a novel approach to enhance the discriminability of Convolutional Neural Networks (CNN). The key idea is to build a tree structure that could progressively learn fine-gr…
Affine Subspace Representation for Feature Description
Zhenhua Wang, Bin Fan, Fuchao Wu
This paper proposes a novel Affine Subspace Representation (ASR) descriptor to deal with affine distortions induced by viewpoint changes. Unlike the traditional local descriptors s…