Search Results for author: Xueying Wang

Found 17 papers, 7 papers with code

DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images

1 code implementation3 Oct 2021 Feng Zhang, Xueying Wang, Shilin Zhou, Yingqian Wang

Rotated object detection in aerial images has received increasing attention for a wide range of applications.

object-detection Object Detection In Aerial Images

Prior-Guided Multi-View 3D Head Reconstruction

no code implementations9 Jul 2021 Xueying Wang, Yudong Guo, Zhongqi Yang, Juyong Zhang

Extensive ablation studies and comparisons with state-of-the-art methods demonstrate that our method can generate high-fidelity 3D head geometries with the guidance of these priors.

Neural Rendering Semantic Segmentation

VICE: Visual Identification and Correction of Neural Circuit Errors

no code implementations14 May 2021 Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister

A connectivity graph of neurons at the resolution of single synapses provides scientists with a tool for understanding the nervous system in health and disease.

Image Segmentation Semantic Segmentation

Pinpointing the Memory Behaviors of DNN Training

no code implementations1 Apr 2021 Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

The training of deep neural networks (DNNs) is usually memory-hungry due to the limited device memory capacity of DNN accelerators.

Arbitrary-Oriented Ship Detection through Center-Head Point Extraction

1 code implementation27 Jan 2021 Feng Zhang, Xueying Wang, Shilin Zhou, Yingqian Wang, Yi Hou

Moreover, we introduce a new dataset for multi-class arbitrary-oriented ship detection in remote sensing images at a fixed ground sample distance (GSD) which is named FGSD2021.

Keypoint Estimation

Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices

no code implementations30 Oct 2020 Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng

The increasing computational cost of deep neural network models limits the applicability of intelligent applications on resource-constrained edge devices.

Network Pruning

Using detrended deconvolution foreign exchange network to identify currency status

no code implementations8 Aug 2020 Pengfei Xi, Shiyang Lai, Xueying Wang, Weiqiang Huang

This article proposed a hybrid detrended deconvolution foreign exchange network construction method (DDFEN), which combined the detrended cross-correlation analysis coefficient (DCCC) and the network deconvolution method together.

Lightweight Photometric Stereo for Facial Details Recovery

1 code implementation CVPR 2020 Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang

Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate geometry details.

3D Face Reconstruction Data Augmentation

A Topological Nomenclature for 3D Shape Analysis in Connectomics

1 code implementation27 Sep 2019 Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister

Next, we develop nomenclature rules for pyramidal neurons and mitochondria from the reduced graph and finally learn the feature embedding for shape manipulation.

3D Shape Classification 3D Shape Retrieval +1

Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge

no code implementations16 Dec 2018 Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng

By analyzing the characteristics of layers in DNNs, an auto-tuning neural network quantization framework for collaborative inference is proposed.


Fast Fourier single-pixel imaging using binary illumination

no code implementations9 Dec 2016 Zibang Zhang, Xueying Wang, Jingang Zhong

However, applying original FSI in digital micro-mirror device (DMD) based high-speed imaging system turns out to be challenging, because the original FSI uses grayscale Fourier basis patterns for illumination while DMDs generate grayscale patterns at a relatively low rate.

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