Search Results for author: ShaoDi You

Found 35 papers, 8 papers with code

GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal

no code implementations10 Oct 2022 Fan Zhang, ShaoDi You, Yu Li, Ying Fu

In this paper, we propose GTAV-NightRain dataset, which is a large-scale synthetic night-time rain streak removal dataset.

Multi-person 3D pose estimation from a single image captured by a fisheye camera

no code implementations Computer Vision and Image Understanding 2022 YaHui Zhang, ShaoDi You, Sezer Karaoglu, Theo Gevers

Multi-person 3D pose estimation with absolute depths for a fisheye camera is a challenging task but with valuable applications in daily life, especially for video surveillance.

3D Human Pose Estimation 3D Pose Estimation

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection

2 code implementations ICCV 2021 Ziteng Cui, Guo-Jun Qi, Lin Gu, ShaoDi You, Zenghui Zhang, Tatsuya Harada

To enhance object detection in a dark environment, we propose a novel multitask auto encoding transformation (MAET) model which is able to explore the intrinsic pattern behind illumination translation.

2D object detection object-detection +1

Learning Temporal Consistency for Low Light Video Enhancement From Single Images

1 code implementation CVPR 2021 Fan Zhang, Yu Li, ShaoDi You, Ying Fu

Based on this idea, we propose our method which can infer motion prior for single image low light video enhancement and enforce temporal consistency.

Optical Flow Estimation Video Enhancement

Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image

no code implementations18 Dec 2020 Yuxing Huang, ShaoDi You, Ying Fu, Qiu Shen

It is based on the idea that high-resolution HSIs in city scenes contain rich spectral information, which can be easily associated to semantics without manual labeling.

Semi-Supervised Semantic Segmentation Weakly supervised Semantic Segmentation +1

Realistic Large-Scale Fine-Depth Dehazing Dataset from 3D Videos

no code implementations18 Apr 2020 Ruoteng Li, Xiaoyi Zhang, ShaoDi You, Yu Li

We select a large number of high-quality frames of real outdoor scenes and render haze on them using depth from stereo.

Autonomous Driving Benchmarking +1

Kinship Identification through Joint Learning Using Kinship Verification Ensembles

1 code implementation ECCV 2020 Wei Wang, ShaoDi You, Sezer Karaoglu, Theo Gevers

The experiments further show significant performance improvement of kinship verification when trained on the same dataset with more realistic distributions.

Feedback Graph Convolutional Network for Skeleton-based Action Recognition

no code implementations17 Mar 2020 Hao Yang, Dan Yan, Li Zhang, Dong Li, YunDa Sun, ShaoDi You, Stephen J. Maybank

It transmits the high-level semantic features to the low-level layers and flows temporal information stage by stage to progressively model global spatial-temporal features for action recognition; (3) The FGCN model provides early predictions.

Action Recognition Skeleton Based Action Recognition

Unsupervised Learning for Intrinsic Image Decomposition from a Single Image

2 code implementations CVPR 2020 Yunfei Liu, Yu Li, ShaoDi You, Feng Lu

Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene.

Intrinsic Image Decomposition

Semantic Guided Single Image Reflection Removal

1 code implementation27 Jul 2019 Yunfei Liu, Yu Li, ShaoDi You, Feng Lu

Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorithms.

Reflection Removal

Hyperspectral City V1.0 Dataset and Benchmark

no code implementations24 Jul 2019 Shaodi You, Erqi Huang, Shuaizhe Liang, Yongrong Zheng, Yunxiang Li, Fan Wang, Sen Lin, Qiu Shen, Xun Cao, Diming Zhang, Yuanjiang Li, Yu Li, Ying Fu, Boxin Shi, Feng Lu, Yinqiang Zheng, Robby T. Tan

This document introduces the background and the usage of the Hyperspectral City Dataset and the benchmark.

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.

Classification-Reconstruction Learning for Open-Set Recognition

1 code implementation CVPR 2019 Ryota Yoshihashi, Wen Shao, Rei Kawakami, ShaoDi You, Makoto Iida, Takeshi Naemura

Existing open-set classifiers rely on deep networks trained in a supervised manner on known classes in the training set; this causes specialization of learned representations to known classes and makes it hard to distinguish unknowns from knowns.

Classification General Classification +1

Loss Guided Activation for Action Recognition in Still Images

no code implementations11 Dec 2018 Lu Liu, Robby T. Tan, ShaoDi You

This requirement of bounding boxes as part of the input is needed to enable the methods to ignore irrelevant contexts and extract only human features.

Action Recognition In Still Images

Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks

no code implementations3 Sep 2018 Zhixiang Hao, Yu Li, ShaoDi You, Feng Lu

However, depth estimation is a dense prediction problem and low-resolution feature maps usually generate blurred depth map which is undesirable in application.

Depth Estimation

Single Image Water Hazard Detection using FCN with Reflection Attention Units

1 code implementation ECCV 2018 Xiaofeng Han, Chuong Nguyen, ShaoDi You, Jianfeng Lu

Water bodies, such as puddles and flooded areas, on and off road pose significant risks to autonomous cars.

Semantic Single-Image Dehazing

no code implementations16 Apr 2018 Ziang Cheng, ShaoDi You, Viorela Ila, Hongdong Li

In experiments, we validate our ap- proach upon synthetic and real hazy images, where our method showed superior performance over state-of-the-art approaches, suggesting semantic information facilitates the haze removal task.

Image Dehazing Single Image Dehazing +1

A Frequency Domain Neural Network for Fast Image Super-resolution

no code implementations8 Dec 2017 Junxuan Li, ShaoDi You, Antonio Robles-Kelly

Moreover, the non-linearity in deep nets, often achieved by a rectifier unit, is here cast as a convolution in the frequency domain.

Image Super-Resolution

Deep Texture and Structure Aware Filtering Network for Image Smoothing

no code implementations ECCV 2018 Kaiyue Lu, ShaoDi You, Nick Barnes

Image smoothing is a fundamental task in computer vision, that aims to retain salient structures and remove insignificant textures.

image smoothing

Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects

no code implementations14 Sep 2017 Ryota Yoshihashi, Tu Tuan Trinh, Rei Kawakami, ShaoDi You, Makoto Iida, Takeshi Naemura

While generic object detection has achieved large improvements with rich feature hierarchies from deep nets, detecting small objects with poor visual cues remains challenging.

object-detection Small Object Detection

Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features

no code implementations10 May 2017 Riku Shigematsu, David Feng, ShaoDi You, Nick Barnes

Here we propose a novel deep CNN architecture for RGB-D salient object detection that exploits high-level, mid-level, and low level features.

object-detection RGB-D Salient Object Detection +2

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.

Question Generation Question-Generation

Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection

no code implementations29 Aug 2016 Xiang Wang, Huimin Ma, Xiaozhi Chen, ShaoDi You

In this paper, we propose a novel edge preserving and multi-scale contextual neural network for salient object detection.

object-detection RGB Salient Object Detection +2

Haze Visibility Enhancement: A Survey and Quantitative Benchmarking

no code implementations21 Jul 2016 Yu Li, ShaoDi You, Michael S. Brown, Robby T. Tan

This paper provides a comprehensive survey of methods dealing with visibility enhancement of images taken in hazy or foggy scenes.


Multiview Rectification of Folded Documents

no code implementations1 Jun 2016 Shaodi You, Yasuyuki Matsushita, Sudipta Sinha, Yusuke Bou, Katsushi Ikeuchi

Digitally unwrapping images of paper sheets is crucial for accurate document scanning and text recognition.

3D Reconstruction

Perceptually Consistent Color-to-Gray Image Conversion

no code implementations6 May 2016 Shaodi You, Nick Barnes, Janine Walker

In this paper, we propose a color to grayscale image conversion algorithm (C2G) that aims to preserve the perceptual properties of the color image as much as possible.

Waterdrop Stereo

no code implementations4 Apr 2016 Shaodi You, Robby T. Tan, Rei Kawakami, Yasuhiro Mukaigawa, Katsushi Ikeuchi

(2) The imagery inside a water-drop is determined by the water-drop 3D shape and total reflection at the boundary.

Depth Estimation

Adherent Raindrop Detection and Removal in Video

no code implementations CVPR 2013 Shaodi You, Robby T. Tan, Rei Kawakami, Katsushi Ikeuchi

First, it detects raindrops based on the motion and the intensity temporal derivatives of the input video.

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