Search Results for author: Kunfeng Wang

Found 7 papers, 2 papers with code

Contour Loss for Instance Segmentation via k-step Distance Transformation Image

no code implementations22 Feb 2021 Xiaolong Guo, Xiaosong Lan, Kunfeng Wang, Shuxiao Li

Instance segmentation aims to locate targets in the image and segment each target area at pixel level, which is one of the most important tasks in computer vision.

Instance Segmentation Semantic Segmentation

Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection

no code implementations10 Oct 2019 Yonglin Tian, Kunfeng Wang, Yuang Wang, Yulin Tian, Zilei Wang, Fei-Yue Wang

We adopt different modalities of LiDAR data to generate richer features and present an adaptive and azimuth-aware network to aggregate local features from image, bird's eye view maps and point cloud.

3D Object Detection Region Proposal

M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance

no code implementations14 Feb 2018 Kunfeng Wang, Chao Gou, Fei-Yue Wang

Secondly, multiple heterogeneous features (including brightness variation, chromaticity variation, and texture variation) are extracted by comparing the input frame with the background model, and a multi-source learning strategy is designed to online estimate the probability distributions for both foreground and background.

Change Detection Frame

Scene-Specific Pedestrian Detection Based on Parallel Vision

1 code implementation23 Dec 2017 Wenwen Zhang, Kunfeng Wang, Hua Qu, Jihong Zhao, Fei-Yue Wang

In order to make the generic scene pedestrian detectors work well in specific scenes, the labeled data from specific scenes are needed to adapt the models to the specific scenes.

Object Detection Pedestrian Detection

The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research

no code implementations22 Dec 2017 Xuan Li, Kunfeng Wang, Yonglin Tian, Lan Yan, Fei-Yue Wang

As a result, we present a viable implementation pipeline for constructing large-scale artificial scenes for traffic vision research.

Instance Segmentation Object Tracking +2

Training and Testing Object Detectors with Virtual Images

no code implementations22 Dec 2017 Yonglin Tian, Xuan Li, Kunfeng Wang, Fei-Yue Wang

In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data.

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