127 citations · 522 across the 32 of their papers we have counts for
33 papers
Asymptotic behaviour for escaping an interval by Lévy flights under stochastic resetting
Bartosz Zbik, Zbigniew Palmowski
The resetting of stochastic processes has become a key mechanism appearing in many research fields, such as searching for a target, the transmission control protocol, biology, chem…
Learning from synthetic photorealistic raindrop for single image raindrop removal
Zhixiang Hao, Shaodi You, Yu Li +2
Raindrops adhered to camera lens or windshield are inevitable in rainy scenes and can become an issue for many computer vision systems such as autonomous driving. Because raindrop…
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Qi Bi, Shaodi You, Theo Gevers
Domain-generalized urban-scene semantic segmentation (USSS) aims to learn generalized semantic predictions across diverse urban-scene styles. Unlike domain gap challenges, USSS is…
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal
Fan Zhang, Shaodi You, Yu Li +1
Rain is transparent, which reflects and refracts light in the scene to the camera. In outdoor vision, rain, especially rain streaks degrade visibility and therefore need to be remo…
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
Ziteng Cui, Guo-Jun Qi, Lin Gu +3
Dark environment becomes a challenge for computer vision algorithms owing to insufficient photons and undesirable noise. To enhance object detection in a dark environment, we propo…
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach
Ryota Yoshihashi, Rei Kawakami, Shaodi You +3
Detecting tiny objects in a high-resolution video is challenging because the visual information is little and unreliable. Specifically, the challenge includes very low resolution o…
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image
Yuxing Huang, Shaodi You, Ying Fu +1
High-resolution hyperspectral images (HSIs) contain the response of each pixel in different spectral bands, which can be used to effectively distinguish various objects in complex…
Realistic Large-Scale Fine-Depth Dehazing Dataset from 3D Videos
Ruoteng Li, Xiaoyi Zhang, Shaodi You +1
Image dehazing is one of the important and popular topics in computer vision and machine learning. A reliable real-time dehazing method with reliable performance is highly desired…
Kinship Identification through Joint Learning Using Kinship Verification Ensembles
Wei Wang, Shaodi You, Sezer Karaoglu +1
Kinship verification is a well-explored task: identifying whether or not two persons are kin. In contrast, kinship identification has been largely ignored so far. Kinship identific…
Feedback Graph Convolutional Network for Skeleton-based Action Recognition
Hao Yang, Dan Yan, Li Zhang +4
Skeleton-based action recognition has attracted considerable attention in computer vision since skeleton data is more robust to the dynamic circumstance and complicated background…
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Yunfei Liu, Yu Li, Shaodi You +1
Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene. It is challenging since it needs to separate o…
Dunhuang Grottoes Painting Dataset and Benchmark
Tianxiu Yu, Shijie Zhang, Cong Lin +5
This document introduces the background and the usage of the Dunhuang Grottoes Dataset and the benchmark. The documentation first starts with the background of the Dunhuang Grotto,…
Semantic Guided Single Image Reflection Removal
Yunfei Liu, Yu Li, Shaodi You +1
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 algorith…
Hyperspectral City V1.0 Dataset and Benchmark
Shaodi You, Erqi Huang, Shuaizhe Liang +14
This document introduces the background and the usage of the Hyperspectral City Dataset and the benchmark. The documentation first starts with the background and motivation of the…
Hybrid Loss for Learning Single-Image-based HDR Reconstruction
Kenta Moriwaki, Ryota Yoshihashi, Rei Kawakami +2
This paper tackles high-dynamic-range (HDR) image reconstruction given only a single low-dynamic-range (LDR) image as input. While the existing methods focus on minimizing the mean…
Loss Guided Activation for Action Recognition in Still Images
Lu Liu, Robby T. Tan, Shaodi You
One significant problem of deep-learning based human action recognition is that it can be easily misled by the presence of irrelevant objects or backgrounds. Existing methods commo…
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi, Wen Shao, Rei Kawakami +3
Open-set classification is a problem of handling `unknown' classes that are not contained in the training dataset, whereas traditional classifiers assume that only known classes ap…
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
Zhixiang Hao, Yu Li, Shaodi You +1
Convolutional Neural Networks have demonstrated superior performance on single image depth estimation in recent years. These works usually use stacked spatial pooling or strided co…
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang, Shaodi You, Xi Li +1
Weakly-supervised semantic segmentation under image tags supervision is a challenging task as it directly associates high-level semantic to low-level appearance. To bridge this gap…
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
Hongru Liang, Haozheng Wang, Jun Wang +4
Learning social media content is the basis of many real-world applications, including information retrieval and recommendation systems, among others. In contrast with previous work…
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda, Ryota Yoshihashi, Rei Kawakami +3
Multi-task learning improves generalization performance by sharing knowledge among related tasks. Existing models are for task combinations annotated on the same dataset, while the…
Semantic Single-Image Dehazing
Ziang Cheng, Shaodi You, Viorela Ila +1
Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this defi…
A Frequency Domain Neural Network for Fast Image Super-resolution
Junxuan Li, Shaodi You, Antonio Robles-Kelly
In this paper, we present a frequency domain neural network for image super-resolution. The network employs the convolution theorem so as to cast convolutions in the spatial domain…
Deep Texture and Structure Aware Filtering Network for Image Smoothing
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. In this paper, we aim to address the fundamental…