Search Results for author: Wen Yang

Found 53 papers, 28 papers with code

Detecting Every Object from Events

2 code implementations8 Apr 2024 Haitian Zhang, Chang Xu, Xinya Wang, Bingde Liu, Guang Hua, Lei Yu, Wen Yang

Object detection is critical in autonomous driving, and it is more practical yet challenging to localize objects of unknown categories: an endeavour known as Class-Agnostic Object Detection (CAOD).

Autonomous Driving Class-agnostic Object Detection +5

Privacy Preservation by Intermittent Transmission in Cooperative LQG Control Systems

no code implementations25 Mar 2024 Wenhao Lin, Yuqing Ni, Wen Yang, Chao Yang

Under the given threshold of the control performance loss, a trade-off optimization problem is proposed.

ConGeo: Robust Cross-view Geo-localization across Ground View Variations

no code implementations20 Mar 2024 Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia

Cross-view geo-localization aims at localizing a ground-level query image by matching it to its corresponding geo-referenced aerial view.

Learning Cross-view Visual Geo-localization without Ground Truth

no code implementations19 Mar 2024 Haoyuan Li, Chang Xu, Wen Yang, Huai Yu, Gui-Song Xia

We observe that training on unlabeled cross-view images presents significant challenges, including the need to establish relationships within unlabeled data and reconcile view discrepancies between uncertain queries and references.

Self-Supervised Learning

Robust Tiny Object Detection in Aerial Images amidst Label Noise

no code implementations16 Jan 2024 Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia

In this study, we address the intricate issue of tiny object detection under noisy label supervision.

Denoising Object +2

CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving

1 code implementation29 Sep 2023 Chi Zhang, Xiang Zhang, Mingyuan Lin, Cheng Li, Chu He, Wen Yang, Gui-Song Xia, Lei Yu

Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by the resolution gap crossing two modalities in both spatial and temporal domains.

Deblurring Event-based vision

QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds

1 code implementation25 Sep 2023 Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia

This paper presents a novel framework to learn a concise geometric primitive representation for 3D point clouds.

BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

2 code implementations29 May 2023 Wen Yang, Chong Li, Jiajun Zhang, Chengqing Zong

Second, we continue training the model with a large-scale parallel dataset that covers 102 natural languages.


Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection

1 code implementation CVPR 2023 Chang Xu, Jian Ding, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia

Despite the exploration of adaptive label assignment in recent oriented object detectors, the extreme geometry shape and limited feature of oriented tiny objects still induce severe mismatch and imbalance issues.

object-detection Object Detection +2

Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

no code implementations14 Apr 2023 Yangguang Wang, Xiang Zhang, Mingyuan Lin, Lei Yu, Boxin Shi, Wen Yang, Gui-Song Xia

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to the missing temporal dynamic information in both RS intra-frame scanlines and inter-frame exposures, particularly when prior knowledge about camera/object motions is unavailable.

Self-Supervised Learning

Recovering Continuous Scene Dynamics from A Single Blurry Image with Events

no code implementations5 Apr 2023 Zhangyi Cheng, Xiang Zhang, Lei Yu, Jianzhuang Liu, Wen Yang, Gui-Song Xia

This paper aims at demystifying a single motion-blurred image with events and revealing temporally continuous scene dynamics encrypted behind motion blurs.

Image Restoration SSIM

Learning to Super-Resolve Blurry Images with Events

1 code implementation27 Feb 2023 Lei Yu, Bishan Wang, Xiang Zhang, Haijian Zhang, Wen Yang, Jianzhuang Liu, Gui-Song Xia

Super-Resolution from a single motion Blurred image (SRB) is a severely ill-posed problem due to the joint degradation of motion blurs and low spatial resolution.

Sparse Learning Super-Resolution

High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark

1 code implementation9 Jan 2023 Fang Xu, Yilei Shi, Patrick Ebel, Wen Yang, Xiao Xiang Zhu

In this paper, we introduce Planet-CR, a benchmark dataset for high-resolution cloud removal with multi-modal and multi-resolution data fusion.

Cloud Removal

Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds

no code implementations6 Dec 2022 Zhipeng Zhao, Huai Yu, Chenwei Lyv, Wen Yang, Sebastian Scherer

To overcome this limitation, we focus on correlating the information of 360 equirectangular images to point clouds, proposing an end-to-end learnable network to conduct cross-modal visual localization by establishing similarity in high-dimensional feature space.

Autonomous Driving Camera Localization +1

Learning to See Through with Events

no code implementations5 Dec 2022 Lei Yu, Xiang Zhang, Wei Liao, Wen Yang, Gui-Song Xia

Although synthetic aperture imaging (SAI) can achieve the seeing-through effect by blurring out off-focus foreground occlusions while recovering in-focus occluded scenes from multi-view images, its performance is often deteriorated by dense occlusions and extreme lighting conditions.

Detecting Line Segments in Motion-blurred Images with Events

1 code implementation14 Nov 2022 Huai Yu, Hao Li, Wen Yang, Lei Yu, Gui-Song Xia

To robustly detect line segments over motion blurs, we propose to leverage the complementary information of images and events.

3D Reconstruction Line Segment Detection +1

Motion Robust High-Speed Light-Weighted Object Detection With Event Camera

1 code implementation24 Aug 2022 Bingde Liu, Chang Xu, Wen Yang, Huai Yu, Lei Yu

In this work, we propose a motion robust and high-speed detection pipeline which better leverages the event data.

Data Augmentation object-detection +3

A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS)

no code implementations24 Aug 2022 Wen Yang, Rui Wang, Yanchao Zhang

However, the ND-MLS method has stable performance and obtains 96. 5 top-1 acc in Res-Net on 100 different handwritten character classification tasks; 2) in segmentation, under the premise of only ten original images, DeepLab obtains 93. 5%, 85%, and 73. 3% m_IOU(10) on the bottle, horse, and grass test datasets, respectively, while the cat test dataset obtains 86. 7% m_IOU(10) with the SegNet model; 3) with only 10 original images from each category in object detection, YOLO v4 obtains 100% and 97. 2% bottle and horse detection, respectively, while the cat dataset obtains 93. 6% with YOLO v3.

Classification Data Augmentation +3

RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

1 code implementation18 Aug 2022 Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia

Then, instead of assigning samples with IoU or center sampling strategy, a new Receptive Field Distance (RFD) is proposed to directly measure the similarity between the Gaussian receptive field and ground truth.

Object object-detection +1

Privacy Preservation by Local Design in Cooperative Networked Control Systems

no code implementations8 Jul 2022 Chao Yang, Wen Yang, Hongbo Shi

In this paper, we study the privacy preservation problem in a cooperative networked control system working for the task of LQG control.

GLF-CR: SAR-Enhanced Cloud Removal with Global-Local Fusion

1 code implementation6 Jun 2022 Fang Xu, Yilei Shi, Patrick Ebel, Lei Yu, Gui-Song Xia, Wen Yang, Xiao Xiang Zhu

The challenge of the cloud removal task can be alleviated with the aid of Synthetic Aperture Radar (SAR) images that can penetrate cloud cover.

Cloud Removal

Learning to Extract Building Footprints from Off-Nadir Aerial Images

1 code implementation28 Apr 2022 Jinwang Wang, Lingxuan Meng, Weijia Li, Wen Yang, Lei Yu, Gui-Song Xia

In this paper, we propose an offset vector learning scheme, which turns the building footprint extraction problem in off-nadir images into an instance-level joint prediction problem of the building roof and its corresponding "roof to footprint" offset vector.

Synthetic Aperture Imaging With Events and Frames

1 code implementation CVPR 2022 Wei Liao, Xiang Zhang, Lei Yu, ShiJie Lin, Wen Yang, Ning Qiao

This paper addresses this problem by leveraging the merits of both events and frames, leading to a fusion-based SAI (EF-SAI) that performs consistently under the different densities of occlusions.

Decoder feature selection

Understanding the Dynamics of DNNs Using Graph Modularity

1 code implementation24 Nov 2021 Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang

Specifically, we model the process of class separation of intermediate representations in pre-trained DNNs as the evolution of communities in dynamic graphs.

Feature Engineering

Graph-Based Similarity of Neural Network Representations

1 code implementation22 Nov 2021 Zuohui Chen, Yao Lu, Jinxuan Hu, Wen Yang, Qi Xuan, Zhen Wang, Xiaoniu Yang

Understanding the black-box representations in Deep Neural Networks (DNN) is an essential problem in deep learning.

Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with Camera

1 code implementation18 Nov 2021 Wen Yang, Zheng Gong, Baifu Huang, Xiaoping Hong

Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes even more demanding with the emerging of newer lidars, which feature back-and-forth scanning patterns.

Autonomous Driving Object

A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

3 code implementations26 Oct 2021 Jinwang Wang, Chang Xu, Wen Yang, Lei Yu

Our key observation is that Intersection over Union (IoU) based metrics such as IoU itself and its extensions are very sensitive to the location deviation of the tiny objects, and drastically deteriorate the detection performance when used in anchor-based detectors.

Object object-detection +1

Motion Deblurring with Real Events

no code implementations ICCV 2021 Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu

In this paper, we propose an end-to-end learning framework for event-based motion deblurring in a self-supervised manner, where real-world events are exploited to alleviate the performance degradation caused by data inconsistency.


A Survey of Uncertainty in Deep Neural Networks

no code implementations7 Jul 2021 Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, JongSeok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu

Different examples from the wide spectrum of challenges in different fields give an idea of the needs and challenges regarding uncertainties in practical applications.

Data Augmentation

Robust wavefront dislocations of Friedel oscillations in gapped graphene

no code implementations11 Mar 2021 Shu-Hui Zhang, Jin Yang, Ding-Fu Shao, Zhenhua Wu, Wen Yang

Friedel oscillation is a well-known wave phenomenon, which represents the oscillatory response of electron waves to imperfection.

Mesoscale and Nanoscale Physics

Event-based Synthetic Aperture Imaging with a Hybrid Network

1 code implementation CVPR 2021 Xiang Zhang, Wei Liao, Lei Yu, Wen Yang, Gui-Song Xia

Synthetic aperture imaging (SAI) is able to achieve the see through effect by blurring out the off-focus foreground occlusions and reconstructing the in-focus occluded targets from multi-view images.

Decoder Style Transfer

Tiny Object Detection in Aerial Images

1 code implementation International Conference on Pattern Recognition (ICPR) 2021 Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia

To build a benchmark for tiny object detection in aerial images, we evaluate the state-of-the-art object detectors on our AI-TOD dataset.

Object object-detection +1

ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras

2 code implementations6 Nov 2020 Hao Li, Huai Yu, Wen Yang, Lei Yu, Sebastian Scherer

Targeting at the unified line segment detection (ULSD) for both distorted and undistorted images, we propose to represent line segments with the Bezier curve model.

Line Segment Detection

Semantic Change Detection with Asymmetric Siamese Networks

1 code implementation12 Oct 2020 Kunping Yang, Gui-Song Xia, Zicheng Liu, Bo Du, Wen Yang, Marcello Pelillo, Liangpei Zhang

Given two multi-temporal aerial images, semantic change detection aims to locate the land-cover variations and identify their change types with pixel-wise boundaries.

Change Detection Management

Liouville type theorems and periodic solutions for the nonhomogeneous parabolic systems

no code implementations30 Aug 2020 Aleks Jevnikar, Jun Wang, Wen Yang

In the present paper we derive Liouville type results and existence of periodic solutions for $\chi^{(2)}$ type systems with non-homogeneous nonlinearities.

Analysis of PDEs 35K9, 35J61, 35B45

Event Enhanced High-Quality Image Recovery

1 code implementation ECCV 2020 Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang

To recover high-quality intensity images, one should address both denoising and super-resolution problems for event cameras.

Denoising Sparse Learning +2

Implicit Euler ODE Networks for Single-Image Dehazing

no code implementations13 Jul 2020 Jiawei Shen, Zhuoyan Li, Lei Yu, Gui-Song Xia, Wen Yang

Deep convolutional neural networks (CNN) have been applied for image dehazing tasks, where the residual network (ResNet) is often adopted as the basic component to avoid the vanishing gradient problem.

Image Dehazing Single Image Dehazing

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID

1 code implementation22 Jun 2020 Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li

After reviewing existing benchmark datasets in the research community of RS image interpretation, this article discusses the problem of how to efficiently prepare a suitable benchmark dataset for RS image interpretation.

General Classification Image Classification +1

A Point Cloud-Based Method for Automatic Groove Detection and Trajectory Generation of Robotic Arc Welding Tasks

no code implementations26 Apr 2020 Rui Peng, David Navarro-Alarcon, Victor Wu, Wen Yang

In this paper, in order to pursue high-efficiency robotic arc welding tasks, we propose a method based on point cloud acquired by an RGB-D sensor.


Semantic Change Pattern Analysis

no code implementations7 Mar 2020 Wensheng Cheng, Yan Zhang, Xu Lei, Wen Yang, Gui-Song Xia

Change detection is an important problem in vision field, especially for aerial images.

Change Detection

Matching Neuromorphic Events and Color Images via Adversarial Learning

no code implementations2 Mar 2020 Fang Xu, ShiJie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-Song Xia

The event camera has appealing properties: high dynamic range, low latency, low power consumption and low memory usage, and thus provides complementariness to conventional frame-based cameras.

Image Retrieval Retrieval

Line-based Camera Pose Estimation in Point Cloud of Structured Environments

no code implementations23 Nov 2019 Huai Yu, Weikun Zhen, Wen Yang, Sebastian Scherer

In this paper, we propose a new 2D-3D registration method to estimate 2D-3D line feature correspondences and the camera pose in untextured point clouds of structured environments.

Camera Localization Pose Estimation +2

Toward Autonomous Rotation-Aware Unmanned Aerial Grasping

no code implementations9 Nov 2018 Shi-Jie Lin, Jinwang Wang, Wen Yang, Guisong Xia

Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising potentials to transform passive sensing missions into active 3-dimension interactive missions, but they still suffer from some difficulties impeding their wide applications, such as target detection and stabilization.

Recent advances and opportunities in scene classification of aerial images with deep models

no code implementations4 Jun 2018 Fan Hu, Gui-Song Xia, Wen Yang, Liangpei Zhang

Scene classification is a fundamental task in interpretation of remote sensing images, and has become an active research topic in remote sensing community due to its important role in a wide range of applications.

Classification General Classification +1

Meaningful Objects Segmentation from SAR Images via A Multi-Scale Non-Local Active Contour Model

no code implementations17 Jan 2015 Gui-Song Xia, Gang Liu, Wen Yang

The segmentation of synthetic aperture radar (SAR) images is a longstanding yet challenging task, not only because of the presence of speckle, but also due to the variations of surface backscattering properties in the images.

Image Segmentation Segmentation +1

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