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Book

Michael Ying Yang, Bodo Rosenhahn and Vittorio Murino.

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning

Elsevier Book, 2019

2024


Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn

Robust Shape Fitting for 3D Scene Abstraction.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024


Biyuan Liu, Huaixin Chen, Kun Li, Michael Ying Yang

Transformer-based multimodal change detection with multitask consistency constraints.

Information Fusion, 2024




2023


Yuren Cong, Michael Ying Yang, Bodo Rosenhahn

Reltr: Relation transformer for scene graph generation.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Code available on Github


Hao Cheng, Mengmeng Liu, Lin Chen, Hellward Broszio, Monika Sester, Michael Ying Yang

Gatraj: A graph-and attention-based multi-agent trajectory prediction model.

ISPRS Journal of Photogrammetry and Remote Sensing, 205, 2023


Yunshuang Yuan, Hao Cheng, Michael Ying Yang, Monika Sester

Generating Evidential BEV Maps in Continuous Driving Space.

ISPRS Journal of Photogrammetry and Remote Sensing, 204, 2023


Qibin He, Xian Sun, Zhiyuan Yan, Bing Wang,  Zicong Zhu, Wenhui Diao, Michael Ying Yang

AST: Adaptive Self-supervised Transformer for optical remote sensing representation.

ISPRS Journal of Photogrammetry and Remote Sensing, 200, 2023


Christoph Reinders, Michael Ying Yang, Bodo Rosenhahn

Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection.

Volunteered Geographic Information, Chapter 5, 2023


Yao Wei, George Vosselman, Michael Ying Yang

BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models.

IEEE/CVF  International Conference on Computer Vision Workshops(ICCVW), 2023


Kun Li, George Vosselman, Michael Ying Yang

Interactive Image Segmentation with Cross-Modality Vision Transformers.

IEEE/CVF  International Conference on Computer Vision Workshops(ICCVW), 2023


Mengmeng Liu, Hao Cheng, Michael Ying Yang

Tracing the Influence of Predecessors on Trajectory Prediction.

IEEE/CVF  International Conference on Computer Vision Workshops(ICCVW), 2023


Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang

SSGVS: Semantic Scene Graph-to-Video Synthesis.

IEEE/CVF  Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023



2022


Simone Borsci, Ville Lehtola, Francesco Nex, Michael Ying Yang, et al.

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle.

AI & society, 2022.


Yaping Lin, George Vosselman, Michael Ying Yang.

Weakly supervised semantic segmentation of airborne laser scanning point clouds.

ISPRS Journal of Photogrammetry and Remote Sensing, 176, 2022


Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022


Yanpeng Cao, Xing Luo, Jiangxin Yang, Yanlong Cao, Michael Ying Yang

Locality guided cross-modal feature aggregation and pixel-level fusion for multispectral pedestrian detection.

Information Fusion, 2022


Guizhong Fu, Shukai Jia, Wenbin Zhu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Yanpeng Cao

Fusion of multi-light source illuminated images for effective defect inspection on highly reflective surfaces.

Mechanical systems and signal processing, 175, 2022


Yao Wei, George Vosselman, Michael Ying Yang

Flow-based GAN for 3D Point Cloud Generation from a Single Image.

British Machine Vision Conference (BMVC), 2022

Code available on Github


Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn

Text to Image Generation with Semantic-Spatial Aware GAN.

IEEE/CVF  Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Code available on Github



2021


Michael Ying Yang, Saumya Kumaar, Ye Lyu, Francesco Nex. 

Real-time Semantic Segmentation with Context Aggregation Network.

ISPRS Journal of Photogrammetry and Remote Sensing, 178, 2021

Code available on Github


Michael Ying Yang, Loic Landrieu, Devis Tuia, Charles Toth.

Muti-modal learning in photogrammetry and remote sensing.

ISPRS Journal of Photogrammetry and Remote Sensing, 176, 2021


Ye Lyu, Michael Ying Yang, George Vosselman, Gui-Song Xia.

Video object detection with a convolutional regression tracker.

ISPRS Journal of Photogrammetry and Remote Sensing, 176, 2021


Yaping Lin, George Vosselman, Yanpeng Cao, Michael Ying Yang.

Local and global encoder network for semantic segmentation of airborne laser scanning point clouds.

ISPRS Journal of Photogrammetry and Remote Sensing, 176, 2021


Logambal Madhuanand, Francesco Nex, and Michael Ying Yang. 

Self-supervised monocular depth estimation from oblique UAV videos.

ISPRS Journal of Photogrammetry and Remote Sensing, 176:1-14, 2021

Dataset available on DANS


Yang Long, Gui-song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiaoxiang Zhu, Liangpei Zhang, Deren Li. 

On creating benchmark dataset for aerial image interpretation: reviews, guidances and Million-AID.

IEEE Journal of selected topics in applied earth observations and remote sensing, 2021


Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, and Monika Sester. 

Amenet: Attentive maps encoder network for trajectory prediction.

ISPRS Journal of Photogrammetry and Remote Sensing, 172:253-266, 2021


Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn.

Spatial-Temporal Transformer for Dynamic Scene Graph Generation.

IEEE/CVF  International Conference on Computer Vision (ICCV), 2021

Code available on Github


Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang.

Disentangled Lifespan Face Synthesis.

IEEE/CVF  International Conference on Computer Vision (ICCV), 2021

Code available on Github


Ye Lyu, George Vosselman, Gui Song Xia, Michael Ying Yang. 

Bidirectional multi-scale attention networks for semantic segmentation of oblique UAV imagery.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2021


Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang

Context-Aware Layout to Image Generation with Enhanced Object Appearance.

IEEE/CVF  Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Code available on Github


Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images.

IEEE/CVF  Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Code available on Github


Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjung Zeng, Bodo Rosenhahn

Target-Tailored Source-Transformation for Scene Graph Generation.

IEEE Conference on Computer Vision and Pattern Recognition Workshop 2021


Saumya Kumaar, Ye Lyu, Francesco Nex, Michael Ying Yang

CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation.

International Conference on Robotics and Automation (ICRA), 2021

Code available on Github


Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn

Exploring Dynamic Context for Multi-path Trajectory Prediction.

International Conference on Robotics and Automation (ICRA), 2021

Code available on Github


2020


Yaping Lin, George Vosselman, Yanpeng Cao, and Michael Ying Yang. 

Active and incremental learning for semantic als point cloud segmentation. 

ISPRS Journal of Photogrammetry and Remote Sensing, 169:73-92, 2020


Ye Lyu, George Vosselman, Gui Song Xia, Alper Yilmaz, and Michael Ying Yang. 

Uavid: A semantic segmentation dataset for uav imagery. 

ISPRS Journal of Photogrammetry and Remote Sensing, 165:108-119, 2020


Jiangxin Yang, Guizhong Fu, Wenbin Zhu, Yanlong Cao, Yanpeng Cao, and Michael Ying Yang.

A deep learning-based surface defect inspection system using multi-scale and channel compressed features.

IEEE Transactions on Instrumentation and Measurement, 2020


Yanpeng Cao, Zhangyu Ye, Zewei He, Jiangxin Yang, Yanlong Cao, Christel-Loic Tisse, and Michael Ying Yang. 

Multi-channel residual network model for accurate estimation of spatially varying and depth-dependent defocus kernels. 

Optical Express, 28(2):2263-2275, 2020


Yanpeng Cao, Yafei Dong, Yanlong Cao, Jiangxin Yang, and Michael Ying Yang. 

Two-stream convolutional neural network for non-destructive subsurface defect detection via similarity comparison of lock-in thermography signals

NDTE International, 112, 2020


He Sen, Liao Wentong, Hamed Rezazadegan Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault

Image Captioning through Image Transformer

Asian Conference on Computer Vision (ACCV), 2020


Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, and Bodo Rosenhahn.

Nodis: Neural ordinary differential scene understanding.

European Conference on Computer Vision (ECCV), 2020


Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, and Bodo Rosenhahn. 

CONSAC: robust multi-model  fitting by conditional sample consensus. 

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Code and datasets available on Github


Tongxin Hu, Vasileios Iosidis,Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, and Bodo Rosenhahn. 

Fairnn- conjoint learning of fair representations for fair decisions.

Discovery Science, 2020


Yaping Lin, George Vosselman, Yanpeng Cao, and Michael Ying Yang. 

Efficient training of semantic point cloud segmentation via active learning. 

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2020


Logmabal Madhuanand, Francesco Nex, and Michael Ying Yang. 

Deep learning for monocular depth estimation from uav images. 

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2020


Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, and Bodo Rosenhahn. 

Lr-cnn: Local-aware region cnn for vehicle detection in aerial imagery.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2020


Hao Cheng, Wentong Liao, Yang Michael Ying, Monica Sester, Bodo Rosenhahn

MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic

International Conference on Intelligent Transportation Systems (ITSC), 2020


Florian Kluger, Hanno Ackermann, Michael Ying Yang, and Bodo Rosenhahn. 

Temporally consistent horizon lines. 

International Conference on Robotics and Automation (ICRA), 2020

Code available on Github

Dataset available on Github


2019

Sophie Crommelinck, Mila Koeva, Michael Ying Yang, and George Vosselman. 

Application of deep learning for delineation of visible cadastral boundaries from remote sensing imagery.

Remote Sensing, 11(21), 2019


Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, and Michael Ying Yang. 

Detecting building changes between airborne laser scanning and photogrammetric data.

Remote Sensing, 11(20), 2019


Michael Marshall, Sophie Crommelinck, Divyani Kohli, Christoph Perger, Michael Ying Yang, Aniruddha Ghosh, Steffen Fritz, Kees de Bie, and Andy Nelson. 

Crowd-driven and automated mapping of  field boundaries in highly fragmented agricultural landscapes of Ethiopia with very high spatial resolution imagery

Remote Sensing, 11(18), 2019


Yanpeng Cao, Guizhong Fu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang.

Accurate salient object detection via dense recurrent connections and residual-based hierarchical feature integration.

Signal Processing: Image Communication, 2019


Guizhong Fu, Peize Sun, Wenbin Zhu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Yanpeng Cao.

A deep-learning-based approach for fast and robust steel surface defects classification.

Optics and Lasers in Engineering 121, 397-405, 2019


Yaping Lin, Francesco Nex, and Michael Ying Yang. 

Semantic facade segmentation from airborne oblique images. 

Photogrammetric Engineering & Remote Sensing, 2019


Michael Ying Yang, Wentong Liao, Xinbo Li, Yanpeng Cao and Bodo Rosenhahn.

Vehicle Detection in Aerial Images.

Photogrammetric Engineering & Remote Sensing, 2019

ITCVD Dataset available on DANS 


Yanpeng Cao, Dayan Guan, Yulun Wu, Jianxin Yang, Yanlong Cao, and Michael Ying Yang.

Box-level Segmentation Supervised Deep Neural Networksfor Accurate and Real-time Multispectral Pedestrian Detection.

ISPRS Journal of Photogrammetry and Remote Sensing, 2019


Dayan Guan, Yanpeng Cao, Jianxin Yang, Yanlong Cao, and Michael Ying Yang.

Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection.

Information Fusion, 2019 Results Link


Zewei He, Siliang Tang, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, and Yanpeng Cao. 

Cascaded deep networks with multiple receptive fields for infrared image super-resolution.

IEEE Transactions on Circuits and Systems for Video Technology, 2019


Ye Lyu, George Vosselman, Guisong Xia, and Michael Ying Yang. 

Lip: Learning instance propagation for video object segmentation. 

IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2019


Wentong Liao, Bodo Rosenhahn, Lin Shuai, and Michael Ying Yang. 

Natural Language Guided Visual Relationship Detection.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019


Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, and Michael Ying Yang. 

Unsupervised domain adaptation for multispectral pedestrian detection.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019


Du Chen, Zewei He, Anshun Sun, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Siliang Tang, and Michael Ying Yang. 

Orientation-aware deep neural network for real image super-resolution.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019


Christoph Reinders, Hanno Ackermann, Michael Ying Yang, and Bodo Rosenhahn. 

Learning convolutional neural networks for object detection with very little training data. 

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning, 2019


Dayan Guan, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, and Yanpeng Cao. 

Multimodal fusion architectures for pedestrian detection. 

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning, 2019


Kashi Ram Yadav, Subrata Nandy, Ritika Srinet, Raja Ram Aryal, and Michael Ying Yang.

Fusing airborne laser scanning and rapideye sensor parameters for tropical forest biomass estimation of Nepal.

International Geoscience and Remote Sensing Symposium (IGARSS), 2019


Yiwen Wang, Ye Lyu, Yanpeng Cao, and Michael Ying Yang.

Deep learning for semantic segmentation of uav video. 

International Geoscience and Remote Sensing Symposium (IGARSS), 2019


Ying Ao, Jinhu Wang, Mei Zhou, Roderik Lindenbergh, and Michael Ying Yang. 

Fully convolutional networks for street furniture identifi.cation in panorama images. 

ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Geospatial Week, 2019


Shan Huang, Francesco Nex, Yaping Lin, and Michael Ying Yang. 

Semantic segmentation of building in airborne images. 

ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Geospatial Week, 2019


Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, and Michael Ying Yang. 

Change detection between multimodal point clouds using convolutional neural networks.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Geospatial Week, 2019



2018


Michael Ying Yang, Wentong Liao, Yanpeng Cao and Bodo Rosenhahn.

Video event recognition and anomaly detection by combining gaussian process and hierarchical dirichlet process models.

Photogrammetric Engineering & Remote Sensing, 2018


Zhenchao Zhang, Markus Gerke, George Vosselman and Michael Ying Yang.

A patch-based method for the evaluation of dense image matching quality.

International Journal of Applied Earth Observation and Geoinformation, 2018


Xiaopeng Han, Xin Huang, Jiayi Li, Yansheng Li, Michael Ying Yang and Jianya Gong

The edge-preservation multi-classifier relearning framework for the classification of high-resolution remotely sensed imagery.

ISPRS Journal of Photogrammetry and Remote Sensing, 2018


Jan Dirk Wegner, Devis Tuia, Michael Ying Yang and Clement Mallet

Foreword to the theme issue on geospatial computer vision.

ISPRS Journal of Photogrammetry and Remote Sensing, 2018


Xin Huang, Zerun Zhu, Yansheng Li, Bo Wu, and Michael Ying Yang.

Tea garden detection from high-resolution imagery using a scene-based framework.

Photogrammetric Engineering & Remote Sensing, 2018


Michael Ying Yang, Wentong Liao, Xinbo Li and Bodo Rosenhahn.

Deep Learning for Vehicle Detection in Aerial Images.

IEEE International Conference on Image Processing (ICIP), 2018 

ITCVD Dataset available on DANS 


Christoph Reinders, Hanno Ackermann, Michael Ying Yang and Bodo Rosenhahn. 

Object Recognition from very few Training Examples for Enhancing Bicycle Maps.

IEEE Intelligent Vehicles Symposium, 2018


Yaping Lin, Francesco Nex, and Michael Ying Yang. 

Semantic building facade segmentation from airborne oblique images. 

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, TC II Symposium, 2018


Zhenchao Zhang, Markus Gerke, George Vosselman, and Michael Ying Yang. 

Filtering photogrammetric point clouds using standard lidar filters towards DTM generation. 

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, TC II Symposium, 2018


Sophie Crommelinck, Bernhard Hofle, Mila Koeva, Michael Ying Yang, and George Vosselman.

Interactive cadastral boundary delineation from UAV data. 

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, TC II Symposium, 2018


Salma Makuti, Francesco Nex, and Michael Ying Yang. 

Multi-temporal classification and change detection using UAV images. 

ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, TC II Symposium, 2018



2017


Michael Ying Yang, Wentong Liao, Hanno Ackermann and Bodo Rosenhahn. 

On Support Relations and Semantic Scene Graphs.

ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 131: 15-25, 2017 (Project link) (Code)


Yanpeng Cao, Zewei He, Jiangxin Yang, Yanlong Cao and Michael Ying Yang. 

Spatially adaptive column fixed-pattern noise correction in infrared imaging system using 1D horizontal differential statistics.

IEEE Photonics Journal, 2017


Michael Ying Yang, Hanno Ackermann, Weiyao Lin, Sitong Feng and Bodo Rosenhahn.

Motion Segmentation via Global and Local Sparse Subspace Optimization.

Photogrammetric Engineering & Remote Sensing, 2017


Martin Reich, Michael Ying Yang and Christian Heipke. 

Global robust image rotation from combined weighted averaging.

ISPRS Journal of Photogrammetry and Remote Sensing, 2017


Sophie Crommelinck, Rohan Bennett, Markus Gerke, Michael Ying Yang and George Vosselman.

Contour detection for UAV-based cadastral mapping.

Remote Sensing, 9(2), 2017


Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn. 

Triplet-based Deep Similarity Learning for Person Re-Identification. 

In ICCV Workshop on Multi-Sensor Fusion for  Dynamic Scene Understanding, 2017


Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn.

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. 

German Conference on Pattern Recognition, 2017


Sophie Crommelinck, Rohan Bennett, Markus Gerke, Mila Koeva, Michael Ying Yang and George Vosselman.

Slic superpixels for object delineation from UAV data.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, UAV-G, 2017


Hanno Ackermann, Michael Ying Yang, and Bodo Rosenhahn. 

Unbiased sparse subspace clustering by selective pursuit. 

Conference on Computer and Robot Vision, 2017


Wentong Liao, Chun Yang, Michael Ying Yang, and Bodo Rosenhahn. 

Security event recognition for visual surveillance. 

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISA17, 2017


Omid Hosseini, Oliver Groth, Alexander Kirillov, Michael Ying Yang and Carsten Rother. 

Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation.

In International Conference on Robotics and Automation (ICRA), 2017 


Zhenchao Zhang, Markus Gerke, Michael Peter, Michael Ying Yang and George Vosselman.

Dense Matching Quality Evaluation - An Empirical Study

In IEEE Joint Urban Remote Sensing Event, 2017



2016


Michael Ying Yang. 

Rich Probabilistic Models for Semantic Labeling.

Habilitation thesis, Leibniz University Hannover, 2016


Yanpeng Cao, Michael Ying Yang, and Christel-Loic Tisse. 

Effective strip noise removal for low-textured infrared images based on 1D guided filtering.

IEEE Transactions on Circuits and Systems for Video Technology, 2016


Saif Al-Shaikhli, Michael Ying Yang, and Bodo Rosenhahn. 

Alzheimer's disease detection via automatic 3D caudate nucleus segmentation using coupled dictionary learning with level set formulation.

Computer Methods and Programs in Biomedicine, 137: 329-339, 2016


Sophie Crommelinck, Rohan Bennett, Markus Gerke, Francesco Nex, Michael Ying Yang and George Vosselman.

Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping.

Remote Sensing, 8(8), 2016


Saif Al-Shaikhli, Michael Ying Yang, and Bodo Rosenhahn. 

Brain tumor classification and segmentation using sparse coding and dictionary learning.

Biomedical Engineering / Biomedizinische Technik (BMT) Journal, 61(4): 413-429, 2016


Saif Al-shaikhli, Michael Ying Yang, and Bodo Rosenhahn. 

3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images. 

Biomedical Engineering / Biomedizinische Technik (BMT) Journal, 61(4): 401-412, 2016


Siva Mustikovela, Michael Ying Yang, and Carsten Rother.

Can Ground Truth Label Propagation from Video help Semantic Segmentation?

In ECCV Workshop on Video Segmentation, 2016


Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, and Michael Ying Yang. 

Unsupervised Deep Domain Adaptation for Pedestrian Detection

In ECCV Workshop on Crowd Understanding, 2016


David Richmond, Dagmar Kainmueller, Michael Ying Yang, Gene Myers, and Carsten Rother.

Mapping Auto-context to a Deep, Sparse ConvNet for Semantic Segmentation.

In British Machine Vision Conference (BMVC), 2016 Best Science Paper Award


Michael Ying Yang and Bodo Rosenhahn. 

Superpixel Cut for Figure-Ground Image Segmentation.

In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; ISPRS Congress, 2016 


Weihao Li and Michael Ying Yang. 

Efficient Semantic Segmentation of Man-Made Scenes Using Fully-Connected Conditional Random Field.

In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; ISPRS Congress, 2016


Michael Ying Yang, Saif Al-Shaikhli, Tao Jiang, Yanpeng Cao, and Bodo Rosenhahn. 

Bi-layer dictionary learning for remote sensing image classification. 

In International Geoscience and Remote Sensing Symposium (IGARSS), 2016


Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, and Carsten Rother. 

Uncertainty-driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016


Omid Hosseini and Michael Ying Yang. 

Real-time RGB-D based template matching pedestrian detection.

In International Conference on Robotics and Automation (ICRA), 2016 


Zhen Ju, Weiyao Lin, Michael Ying Yang, Bo Zhang, Chia-Wen Lin, and Tao Mei. 

A representative-based framework for parsing and summarizing events in surveillance videos.

In IEEE International Conference on Multimedia and Expo Workshop, 2016


Fabrice Matulic, Wolfgang Büschel, Michael Ying Yang, Stephan Ihrke, Anmol Ramraika, Carsten Rother, and Raimund Dachselt.

Smart Ubiquitous Projection: Discovering Surfaces for the Projection of Adaptive Content.

ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA), 2016.

2015

Clement Mallet, et al., Michael Ying Yang, and et al., editors. 

Proceedings of ISPRS Geospatial Week 2015.

La Grande Motte, France, volume II-3/W5 of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 

Xuanzi Yong, Michael Ying Yang, Yanpeng Cao, and Bodo Rosenhahn. 

Descriptor evaluation and feature regression for multimodal image analysis.

Machine Vision and Applications, 2015

Wenqi Huang, Xiaojin Gong, and Michael Ying Yang. 

Joint object segmentation and depth upsampling. 

Signal Processing Letters, 22(2):192–196, 2015 

Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, and Carsten Rother. 

Learning analysis-by-synthesis for 6D pose estimation in RGB-D images.

In IEEE International Conference on Computer Vision (ICCV), 2015

Wentong Liao, Bodo Rosenhahn, and Michael Ying Yang. 

Video event recognition by combining HDP and gaussian process. 

In ICCV Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, 2015

Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, and Bodo Rosenhahn. 

Temporally object-based video co-segmentation. 

In International Symposium on Visual Computing (ISVC), 2015

Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, and Carsten Rother. 

Pose estimation of kinematic chain instances via object coordinate regression.

In British Machine Vision Conference (BMVC), 2015

Michael Ying Yang, Sitong Feng, Hanno Ackermann, and Bodo Rosenhahn. 

Global and local sparse subspace optimization for motion segmentation. 

In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISA15, 2015

Wentong Liao, Bodo Rosenhahn, and Michael Ying Yang. 

Gaussian process for activity modeling and anomaly detection. 

In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISA15, 2015

Jianqiang Ren, Xiaojin Gong, Lu Yu, Wenhui Zhou, and Michael Ying Yang. 

Exploiting global priors for RGB-D saliency detection.

In CVPR Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, 2015

Michael Ying Yang. 

A generic probabilistic graphical model for region-based scene interpretation.

In International Conference on Computer Vision Theory and Applications (VISAPP), 2015

Zheng Zhang, Michael Ying Yang, and Mei Zhou. 

Multi-source multi-scale hierarchical conditional random field model for remote sensing image classification.

In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, PIA15+HRIGI15, 2015

Wentong Liao, Jun Tang, Bodo Rosenhahn, and Michael Ying Yang. 

Integration of gaussian process and MRF for hyperspectral image classification.

In IEEE Joint Urban Remote Sensing Event, 2015

Michael Ying Yang, Yu Qiang, and Bodo Rosenhahn. 

A global-to-local framework for infrared and visible image sequence registration.

In IEEE Winter Conference on Applications of Computer Vision, 2015 

Michael Ying Yang, Wentong Liao, Bodo Rosenhahn, and Zheng Zhang. 

Hyperspectral image classification using gaussian process models.

In International Geoscience and Remote Sensing Symposium (IGARSS), 2015

Michael Ying Yang, Tao Jiang, Saif Al-Shaikhli, and Bodo Rosenhahn. 

A novel dictionary learning method for remote sensing image classification. 

In International Geoscience and Remote Sensing Symposium (IGARSS), 2015

David Richmond, Dagmar Kainmueller, Michael Ying Yang, Gene Myers, and Carsten Rother.

Relating cascaded random forests to deep convolutional neural networks for semantic segmentation.

Arxiv 1507.07583, 2015


2014

Muhammad Shoaib, Michael Ying Yang, Bodo Rosenhahn, and Jörn Ostermann. 

Estimating layout of cluttered indoor scenes using trajectory-based priors.

Image Vision Computing, 32(11):870–883, 2014

Saif Al-shaikhli, Michael Ying Yang, and Bodo Rosenhahn. 

Multi-region labeling and segmentation using a graph topology prior and atlas information in brain images.

Computerized Medical Imaging and Graphics Journal (CMIG), 2014 

Michael Ying Yang, Sitong Feng, and Bodo Rosenhahn. 

Sparse optimization for motion segmentation.

In ACCV Workshop on Video Segmentation in Computer Vision, 2014 

Saif Al-Shaikhli, Michael Yang, and Bodo Rosenhahn. 

Coupled dictionary learning for multi-label brain tumor segmentation in flair MRI images. 

In International Symposium on Visual Computing (ISVC), 2014

Saif Al-Shaikhli, Michael Ying Yang, and Bodo Rosenhahn. 

Brain tumor classification using sparse coding and dictionary learning. 

In IEEE International Conference on Image Processing (ICIP), 2014

Michael Ying Yang, Xuanzi Yong, and Bodo Rosenhahn. 

Feature regression for multimodal image analysis. 

In CVPR Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, 2014

Michael Ying Yang and Bodo Rosenhahn. 

Video segmentation with joint object and trajectory labeling.

In IEEE Winter Conference on Applications of Computer Vision, pages 831–838, 2014

Zheng Zhang, Michael Ying Yang, Mei Zhou, and Xiangzhao Zeng. 

Simultaneous image classification and annotation based on the spatial coherent topic model.

In International Geoscience and Remote Sensing Symposium (IGARSS), 2014

Yongsheng Zhou, Chuanrong Li, Lingling Ma, Michael Ying Yang, and Qi Liu. 

Improved trihedral corner reflector for high-precision SAR calibration and validation. 

In International Geoscience and Remote Sensing Symposium (IGARSS), 2014 


2013

Clement Mallet, Alper Yilmaz, Yury Vizilter, and Michael Ying Yang, editors. 

Proceedings of the ISPRS Workshop on Image Sequence Analysis 2013.

Antalya, Turkey, volume II-3/W2 of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013

Oliver Müller, Michael Ying Yang, and Bodo Rosenhahn. 

Slice sampling particle belief propagation.

In IEEE International Conference on Computer Vision (ICCV), pages 1129–1136, 2013

Yibo Guo, Michael Ying Yang, and Bodo Rosenhahn. 

Interactive multi-object tracking for virtual object manipulation. 

In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, volume II-3/W2, pages 19–24, 2013

Michael Ying Yang. 

Image segmentation by bilayer superpixel grouping.

In Asian Conference on Pattern Recognition, pages 552–556, 2013

Saif Al-Shaikhli, Michael Ying Yang, and Bodo Rosenhahn. 

Medical image segmentation using multi-level set partitioning with topological graph prior.

In PSIVT 2013 Workshops-GCCV, pages 157–168, 2013 

Zheng Zhang, Michael Ying Yang, and Mei Zhou. 

Multi-source hierarchical conditional random field model for feature fusion of remote sensing images and lidar data.

In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; ISPRS Hannover Workshop, pages 389–392, 2013 


2012

Dengfeng Chai, Wolfgang Förstner, and Michael Ying Yang. 

Combine Markov random fields and marked point processes to extract building from remotely sensed images.

In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; ISPRS Congress, pages 365–370, 2012 

Michael Ying Yang, Wolfgang Förstner, and Dengfeng Chai. 

Feature evaluation for building facade images - an empirical study.

In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; ISPRS Congress, pages 513–518, 2012 


2011

Michael Ying Yang. 

Hierarchical and Spatial Structures for Interpreting Images of Man-madeScenes Using Graphical Models.

Ph. D. thesis, Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, 2011 

Michael Ying Yang, Yanpeng Cao, and John McDonald. 

Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments.

ISPRS Journal of Photogrammetry and Remote Sensing, 66(6S):52–61, 2011

Michael Ying Yang and Wolfgang Förstner. 

A hierarchical conditional random field model for labeling and classifying images of man-made scenes.

In ICCV Workshop on Computer Vision for Remote Sensing of the Environment, pages 196 – 203, 2011

Michael Ying Yang and Wolfgang Förstner. 

Regionwise classification of building facade images.

In Photogrammetric Image Analysis (PIA2011), LNCS 6952, pages 209 – 220. Springer, 2011

Yanpeng Cao, Michael Ying Yang, and John McDonald. 

Robust alignment of wide baseline terrestrial laser scans via 3d viewpoint normalization.

In IEEE Workshop on Applications of Computer Vision (WACV), pages 455–462, 2011 


2010

Michael Ying Yang, Yanpeng Cao, Wolfgang Förstner, and John McDonald. 

Robust wide baseline scene alignment based on 3d viewpoint normalization.

In International Symposium on Visual Computing (ISVC), pages 654–665, 2010

Michael Ying Yang, Wolfgang Förstner, and Martin Drauschke. 

Hierarchical conditional random field for multi-class image classification.

In International Conference on Computer Vision Theory and Applications, pages 464–469, 2010 

Michael Ying Yang and Wolfgang Föstner. 

Plane detection in point cloud data.

Technical Report TR-IGG-P-2010-01, Department of Photogrammetry, University of Bonn, 2010 


2009

Jörg Schmittwilken, Michael Ying Yang, Wolfgang Förstner, and Lutz Plümer. 

Integration of conditional random fields and attribute grammars for range data interpretation of man-made objects.

Annals of GIS, 15(2):117–126, 2009

Michael Ying Yang. 

Multiregion level-set segmentation of synthetic aperture radar images.

In International Conference on Image Processing (ICIP), pages 1717–1720, 2009