Search Results for author: Jiawan Zhang

Found 13 papers, 5 papers with code

Face Inverse Rendering via Hierarchical Decoupling

1 code implementation17 Jan 2023 Meng Wang, Xiaojie Guo, Wenjing Dai, Jiawan Zhang

Previous face inverse rendering methods often require synthetic data with ground truth and/or professional equipment like a lighting stage.

Inverse Rendering

Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion

no code implementations6 Aug 2022 Fangzhou Gao, Meng Wang, Lianghao Zhang, Li Wang, Jiawan Zhang

This paper presents a new method for deep uncalibrated photometric stereo, which efficiently utilizes the inter-image representation to guide the normal estimation.

Inverse Rendering

Towards Visual Explainable Active Learning for Zero-Shot Classification

no code implementations15 Aug 2021 Shichao Jia, Zeyu Li, Nuo Chen, Jiawan Zhang

This paper proposes a visual explainable active learning approach with its design and implementation called semantic navigator to solve the above problems.

Active Learning Attribute +2

iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans

no code implementations16 Jun 2020 Zhibin Niu, Runlin Li, Junqi Wu, Dawei Cheng, Jiawan Zhang

Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks.

$E^3$: Visual Exploration of Spatiotemporal Energy Demand

1 code implementation16 Jun 2020 Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang

Understanding demand-side energy behaviour is critical for making efficiency responses for energy demand management.

Human-Computer Interaction Computers and Society

Dunhuang Grottoes Painting Dataset and Benchmark

no code implementations10 Jul 2019 Tianxiu Yu, Shijie Zhang, Cong Lin, ShaoDi You, Jian Wu, Jiawan Zhang, Xiaohong Ding, Huili An

Follow the trend, we release the first public dataset for Dunhuang Grotto Painting restoration.

OVSNet : Towards One-Pass Real-Time Video Object Segmentation

no code implementations24 May 2019 Peng Sun, Peiwen Lin, Guangliang Cheng, Jianping Shi, Jiawan Zhang, Xi Li

Video object segmentation aims at accurately segmenting the target object regions across consecutive frames.

Object object-detection +6

Kindling the Darkness: A Practical Low-light Image Enhancer

4 code implementations4 May 2019 Yonghua Zhang, Jiawan Zhang, Xiaojie Guo

It is worth to note that our network is trained with paired images shot under different exposure conditions, instead of using any ground-truth reflectance and illumination information.

Low-Light Image Enhancement

Single Image Deraining: A Comprehensive Benchmark Analysis

1 code implementation CVPR 2019 Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao

We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images. This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes.

Single Image Deraining

PFLD: A Practical Facial Landmark Detector

18 code implementations28 Feb 2019 Xiaojie Guo, Siyuan Li, Jinke Yu, Jiawan Zhang, Jiayi Ma, Lin Ma, Wei Liu, Haibin Ling

Being accurate, efficient, and compact is essential to a facial landmark detector for practical use.

Face Alignment Facial Landmark Detection

Fast Single Image Rain Removal via a Deep Decomposition-Composition Network

no code implementations8 Apr 2018 Siyuan LI, Wenqi Ren, Jiawan Zhang, Jinke Yu, Xiaojie Guo

Rain effect in images typically is annoying for many multimedia and computer vision tasks.

Rain Removal

Automatic Generation of Grounded Visual Questions

no code implementations20 Dec 2016 Shijie Zhang, Lizhen Qu, ShaoDi You, Zhenglu Yang, Jiawan Zhang

In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image.

Diversity Question Generation +1

Maximum Cohesive Grid of Superpixels for Fast Object Localization

no code implementations CVPR 2013 Liang Li, Wei Feng, Liang Wan, Jiawan Zhang

For this purpose, we aim at constructing maximum cohesive SP-grid, which is composed of real nodes, i. e. SPs, and dummy nodes that are meaningless in the image with only position-taking function in the grid.

Object Object Localization +1

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