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2020 – today
- 2024
[j25]Biyuan Liu
, Huaixin Chen, Kun Li, Michael Ying Yang:
Transformer-based multimodal change detection with multitask consistency constraints. Inf. Fusion 108: 102358 (2024)- [j24]Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Robust Shape Fitting for 3D Scene Abstraction. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6306-6325 (2024) - [c70]Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang:
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints. CVPR Workshops 2024: 2039-2049 - [i69]Kun Li, George Vosselman, Michael Ying Yang:
Convincing Rationales for Visual Question Answering Reasoning. CoRR abs/2402.03896 (2024) - [i68]Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Robust Shape Fitting for 3D Scene Abstraction. CoRR abs/2403.10452 (2024) - [i67]Yao Wei, Martin Renqiang Min, George Vosselman, Li Erran Li, Michael Ying Yang:
Compositional 3D Scene Synthesis with Scene Graph Guided Layout-Shape Generation. CoRR abs/2403.12848 (2024) - [i66]Kun Li, Hao Cheng, George Vosselman, Michael Ying Yang:
Learning from Exemplars for Interactive Image Segmentation. CoRR abs/2406.11472 (2024) - 2023
- [j23]Simone Borsci, Ville V. Lehtola, Francesco Nex, Michael Ying Yang, Ellen-Wien Augustijn, Leila Bagheriye, Christoph Brune, Ourania Kounadi, Jamy Li, João L. R. Moreira, Joanne Van Der Nagel, Bernard P. Veldkamp, Duc Viet Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla:
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 38(4): 1465-1484 (2023) - [j22]Yuren Cong, Michael Ying Yang, Bodo Rosenhahn:
RelTR: Relation Transformer for Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11169-11183 (2023) - [c69]Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang:
SSGVS: Semantic Scene Graph-to-Video Synthesis. CVPR Workshops 2023: 2555-2565 - [c68]Kun Li, George Vosselman, Michael Ying Yang:
Interactive Image Segmentation with Cross-Modality Vision Transformers. ICCV (Workshops) 2023: 762-772 - [c67]Yao Wei, George Vosselman, Michael Ying Yang:
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models. ICCV (Workshops) 2023: 2902-2911 - [c66]Mengmeng Liu, Hao Cheng, Michael Ying Yang:
Tracing the Influence of Predecessors on Trajectory Prediction. ICCV (Workshops) 2023: 3245-3255 - [i65]Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang:
Attribute-Centric Compositional Text-to-Image Generation. CoRR abs/2301.01413 (2023) - [i64]Kun Li, George Vosselman, Michael Ying Yang:
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images. CoRR abs/2301.09460 (2023) - [i63]Yunshuang Yuan, Hao Cheng, Michael Ying Yang, Monika Sester:
Generating Evidential BEV Maps in Continuous Driving Space. CoRR abs/2302.02928 (2023) - [i62]Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang:
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints. CoRR abs/2302.13933 (2023) - [i61]Yuren Cong, Wentong Liao, Bodo Rosenhahn, Michael Ying Yang:
Learning Similarity between Scene Graphs and Images with Transformers. CoRR abs/2304.00590 (2023) - [i60]Kun Li, George Vosselman, Michael Ying Yang:
Interactive Image Segmentation with Cross-Modality Vision Transformers. CoRR abs/2307.02280 (2023) - [i59]Mengmeng Liu, Hao Cheng, Michael Ying Yang:
Tracing the Influence of Predecessors on Trajectory Prediction. CoRR abs/2308.05634 (2023) - [i58]Yao Wei, George Vosselman, Michael Ying Yang:
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models. CoRR abs/2309.00158 (2023) - [i57]Biyuan Liu, Huaixin Chen, Kun Li, Michael Ying Yang:
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints. CoRR abs/2310.09276 (2023) - 2022
- [j21]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. Inf. Fusion 88: 1-11 (2022) - [j20]Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7778-7796 (2022) - [c65]Yao Wei, George Vosselman, Michael Ying Yang:
Flow-based GAN for 3D Point Cloud Generation from a Single Image. BMVC 2022: 569 - [c64]Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn:
Text to Image Generation with Semantic-Spatial Aware GAN. CVPR 2022: 18166-18175 - [i56]Yuren Cong, Michael Ying Yang, Bodo Rosenhahn:
RelTR: Relation Transformer for Scene Graph Generation. CoRR abs/2201.11460 (2022) - [i55]Hao Cheng, Mengmeng Liu, Lin Chen, Hellward Broszio, Monika Sester, Michael Ying Yang:
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model. CoRR abs/2209.07857 (2022) - [i54]Yao Wei, George Vosselman, Michael Ying Yang:
Flow-based GAN for 3D Point Cloud Generation from a Single Image. CoRR abs/2210.04072 (2022) - [i53]Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Ying Yang:
SSGVS: Semantic Scene Graph-to-Video Synthesis. CoRR abs/2211.06119 (2022) - 2021
- [j19]Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li:
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4205-4230 (2021) - [c63]Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjun Zeng, Bodo Rosenhahn:
Target-Tailored Source-Transformation for Scene Graph Generation. CVPR Workshops 2021: 1663-1671 - [c62]Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. CVPR 2021: 13070-13079 - [c61]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. CVPR 2021: 15049-15058 - [c60]Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. ICCV 2021: 3857-3866 - [c59]Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. ICCV 2021: 16352-16362 - [c58]Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. ICCVW 2021: 762-768 - [c57]Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Exploring Dynamic Context for Multi-path Trajectory Prediction. ICRA 2021: 12795-12801 - [c56]Saumya Kumaar, Ye Lyu, Francesco Nex, Michael Ying Yang:
CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation. ICRA 2021: 13517-13524 - [i52]Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery. CoRR abs/2102.03099 (2021) - [i51]Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. CoRR abs/2102.12219 (2021) - [i50]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. CoRR abs/2103.11897 (2021) - [i49]Kai Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Text to Image Generation with Semantic-Spatial Aware GAN. CoRR abs/2104.00567 (2021) - [i48]Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. CoRR abs/2105.02047 (2021) - [i47]Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. CoRR abs/2107.12309 (2021) - [i46]Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. CoRR abs/2108.02874 (2021) - [i45]Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. CoRR abs/2108.13246 (2021) - 2020
- [j18]Jiangxin Yang, Guizhong Fu, Wenbin Zhu, Yanlong Cao, Yanpeng Cao, Michael Ying Yang:
A Deep Learning-Based Surface Defect Inspection System Using Multiscale and Channel-Compressed Features. IEEE Trans. Instrum. Meas. 69(10): 8032-8042 (2020) - [c55]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning Through Image Transformer. ACCV (4) 2020: 153-169 - [c54]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR 2020: 4633-4642 - [c53]Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn:
FairNN - Conjoint Learning of Fair Representations for Fair Decisions. DS 2020: 581-595 - [c52]Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. ECCV (20) 2020: 636-653 - [c51]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. ICRA 2020: 3161-3167 - [c50]Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic. ITSC 2020: 1-8 - [i44]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CoRR abs/2001.02643 (2020) - [i43]Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. CoRR abs/2001.04735 (2020) - [i42]Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. CoRR abs/2002.05966 (2020) - [i41]Ye Lyu, Michael Ying Yang, George Vosselman, Guisong Xia:
Plug & Play Convolutional Regression Tracker for Video Object Detection. CoRR abs/2003.00981 (2020) - [i40]Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn:
FairNN- Conjoint Learning of Fair Representations for Fair Decisions. CoRR abs/2004.02173 (2020) - [i39]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning through Image Transformer. CoRR abs/2004.14231 (2020) - [i38]Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn:
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery. CoRR abs/2005.14264 (2020) - [i37]Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, Monika Sester:
AMENet: Attentive Maps Encoder Network for Trajectory Prediction. CoRR abs/2006.08264 (2020) - [i36]Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li:
DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation. CoRR abs/2006.12485 (2020) - [i35]Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Exploring Dynamic Context for Multi-path Trajectory Prediction. CoRR abs/2010.16267 (2020) - [i34]Saumya Kumaar, Ye Lyu, Francesco Nex, Michael Ying Yang:
CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation. CoRR abs/2011.00993 (2020) - [i33]Fan Wang, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Michael Ying Yang:
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors. CoRR abs/2012.03417 (2020) - [i32]Yaping Lin, George Vosselman, Yanpeng Cao, Michael Ying Yang:
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds. CoRR abs/2012.10192 (2020) - [i31]Logambal Madhuanand, Francesco Nex, Michael Ying Yang:
Self-supervised monocular depth estimation from oblique UAV videos. CoRR abs/2012.10704 (2020)
2010 – 2019
- 2019
- [j17]Dayan Guan, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang:
Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection. Inf. Fusion 50: 148-157 (2019) - [j16]Michael T. Marshall, Sophie Crommelinck, Divyani Kohli, Christoph Perger, Michael Ying Yang, Aniruddha Ghosh, Steffen Fritz, Kees de Bie, Andy Nelson:
Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery. Remote. Sens. 11(18): 2082 (2019) - [j15]Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, Michael Ying Yang:
Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data. Remote. Sens. 11(20): 2417 (2019) - [j14]Sophie Crommelinck, Mila Koeva, Michael Ying Yang, George Vosselman:
Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery. Remote. Sens. 11(21): 2505 (2019) - [j13]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 Process. Image Commun. 78: 103-112 (2019) - [j12]Zewei He, Siliang Tang, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Yanpeng Cao:
Cascaded Deep Networks With Multiple Receptive Fields for Infrared Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2310-2322 (2019) - [c49]Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang:
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. CVPR Workshops 2019: 434-443 - [c48]Wentong Liao, Bodo Rosenhahn, Ling Shuai, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. CVPR Workshops 2019: 444-453 - [c47]Du Chen, Zewei He, Anshun Sun, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Siliang Tang, Michael Ying Yang:
Orientation-Aware Deep Neural Network for Real Image Super-Resolution. CVPR Workshops 2019: 1944-1953 - [c46]Tongxin Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Exploiting Attention for Visual Relationship Detection. GCPR 2019: 331-344 - [c45]Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
LIP: Learning Instance Propagation for Video Object Segmentation. ICCV Workshops 2019: 2739-2748 - [c44]Yiwen Wang, Ye Lyu, Yanpeng Cao, Michael Ying Yang:
Deep Learning for Semantic Segmentation of UAV Videos. IGARSS 2019: 2459-2462 - [c43]Kashi Ram Yadav, Subrata Nandy, Ritika Srinet, Raja Ram Aryal, Michael Ying Yang:
Fusing Airborne Laser Scanning and Rapideye Sensor Parameters for Tropical Forest Biomass Estimation of Nepal. IGARSS 2019: 7334-7337 - [i30]Yanpeng Cao, Dayan Guan, Yulun Wu, Jiangxin Yang, Yanlong Cao, Michael Ying Yang:
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection. CoRR abs/1902.05291 (2019) - [i29]Wentong Liao, Cuiling Lan, Wenjun Zeng, Michael Ying Yang, Bodo Rosenhahn:
Exploring the Semantics for Visual Relationship Detection. CoRR abs/1904.02104 (2019) - [i28]Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang:
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. CoRR abs/1904.03692 (2019) - [i27]Sophie Crommelinck, Mila Koeva, Michael Ying Yang, George Vosselman:
Robust object extraction from remote sensing data. CoRR abs/1904.12586 (2019) - [i26]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Temporally Consistent Horizon Lines. CoRR abs/1907.10014 (2019) - [i25]Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
LIP: Learning Instance Propagation for Video Object Segmentation. CoRR abs/1910.00032 (2019) - [i24]Du Chen, Zewei He, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Siliang Tang, Yueting Zhuang:
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features. CoRR abs/1912.04016 (2019) - 2018
- [j11]Zhenchao Zhang, Markus Gerke, George Vosselman, Michael Ying Yang:
A patch-based method for the evaluation of dense image matching quality. Int. J. Appl. Earth Obs. Geoinformation 70: 25-34 (2018) - [c42]Michael Ying Yang, Wentong Liao, Xinbo Li, Bodo Rosenhahn:
Deep Learning for Vehicle Detection in Aerial Images. ICIP 2018: 3079-3083 - [c41]Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Object Recognition from very few Training Examples for Enhancing Bicycle Maps. Intelligent Vehicles Symposium 2018: 1-8 - [i23]Michael Ying Yang, Wentong Liao, Xinbo Li, Bodo Rosenhahn:
Vehicle Detection in Aerial Images. CoRR abs/1801.07339 (2018) - [i22]Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn:
Triplet-based Deep Similarity Learning for Person Re-Identification. CoRR abs/1802.03254 (2018) - [i21]Michael Ying Yang, Wentong Liao, Yanpeng Cao, Bodo Rosenhahn:
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models. CoRR abs/1802.03257 (2018) - [i20]Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang:
Unsupervised Deep Domain Adaptation for Pedestrian Detection. CoRR abs/1802.03269 (2018) - [i19]Oliver Müller, Michael Ying Yang, Bodo Rosenhahn:
Slice Sampling Particle Belief Propagation. CoRR abs/1802.03275 (2018) - [i18]Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn:
Temporally Object-based Video Co-Segmentation. CoRR abs/1802.03279 (2018) - [i17]Dayan Guan, Yanpeng Cao, Jun Liang, Yanlong Cao, Michael Ying Yang:
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection. CoRR abs/1802.09972 (2018) - [i16]Zhenchao Zhang, Markus Gerke, George Vosselman, Michael Ying Yang:
Patch-based Evaluation of Dense Image Matching Quality. CoRR abs/1807.09546 (2018) - [i15]Zhenchao Zhang, George Vosselman, Markus Gerke, Devis Tuia, Michael Ying Yang:
Change Detection between Multimodal Remote Sensing Data Using Siamese CNN. CoRR abs/1807.09562 (2018) - [i14]Ye Lyu, George Vosselman, Guisong Xia, Alper Yilmaz, Michael Ying Yang:
The UAVid Dataset for Video Semantic Segmentation. CoRR abs/1810.10438 (2018) - [i13]Michael Ying Yang, Wentong Liao, Chun Yang, Yanpeng Cao, Bodo Rosenhahn:
Security Event Recognition for Visual Surveillance. CoRR abs/1810.11348 (2018) - 2017
- [j10]Sophie Crommelinck, Rohan Bennett, Markus Gerke, Michael Ying Yang, George Vosselman:
Contour Detection for UAV-Based Cadastral Mapping. Remote. Sens. 9(2): 171 (2017) - [c40]Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang:
Unbiased Sparse Subspace Clustering by Selective Pursuit. CRV 2017: 1-7 - [c39]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. GCPR 2017: 17-28 - [c38]Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn:
Triplet-Based Deep Similarity Learning for Person Re-Identification. ICCV Workshops 2017: 385-393 - [c37]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing modular CNN architectures for joint depth prediction and semantic segmentation. ICRA 2017: 4620-4627 - [c36]Zhenchao Zhang, Markus Gerke, Michael Peter, Michael Ying Yang, George Vosselman:
Dense matching quality evaluation - an empirical study. JURSE 2017: 1-4 - [i12]Michael Ying Yang, Hanno Ackermann, Weiyao Lin, Sitong Feng, Bodo Rosenhahn:
Motion Segmentation via Global and Local Sparse Subspace Optimization. CoRR abs/1701.06944 (2017) - [i11]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation. CoRR abs/1702.08009 (2017) - [i10]Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection. CoRR abs/1707.02427 (2017) - [i9]Sophie Crommelinck, Michael Ying Yang, Mila Koeva, Markus Gerke, Rohan Bennett, George Vosselman:
Towards Automated Cadastral Boundary Delineation from UAV Data. CoRR abs/1709.01813 (2017) - [i8]Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Learning a Fully Convolutional Network for Object Recognition using very few Data. CoRR abs/1709.05910 (2017) - [i7]Wentong Liao, Shuai Lin, Bodo Rosenhahn, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. CoRR abs/1711.06032 (2017) - 2016
- [b2]Michael Ying Yang:
Rich probabilistic models for semantic labeling. University of Hanover, Germany, 2016 - [j9]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Alzheimer's disease detection via automatic 3D caudate nucleus segmentation using coupled dictionary learning with level set formulation. Comput. Methods Programs Biomed. 137: 329-339 (2016) - [j8]Sophie Crommelinck, Rohan Bennett, Markus Gerke, Francesco Nex, Michael Ying Yang, George Vosselman:
Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping. Remote. Sens. 8(8): 689 (2016) - [j7]Devis Tuia, Jan Dirk Wegner, Clément Mallet, Michael Ying Yang:
Foreword to the Special Issue on "GeoVision: Computer Vision for Geospatial Applications". IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2840-2843 (2016) - [j6]Yanpeng Cao, Michael Ying Yang, Christel-Loïc Tisse:
Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2176-2188 (2016) - [c35]David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother:
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation. BMVC 2016 - [c34]Fabrice Matulic, Wolfgang Büschel, Michael Ying Yang, Stephan Ihrke, Anmol Ramraika, Carsten Rother, Raimund Dachselt:
Smart Ubiquitous Projection: Discovering Surfaces for the Projection of Adaptive Content. CHI Extended Abstracts 2016: 2592-2600 - [c33]Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. CVPR 2016: 3364-3372 - [c32]Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang:
Unsupervised Deep Domain Adaptation for Pedestrian Detection. ECCV Workshops (2) 2016: 676-691 - [c31]Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother:
Can Ground Truth Label Propagation from Video Help Semantic Segmentation? ECCV Workshops (3) 2016: 804-820 - [c30]Zhen Ju, Weiyao Lin, Michael Ying Yang, Bo Zhang, Chuanfei Luo, Chia-Wen Lin, Tao Mei:
A representative-based framework for parsing and summarizing events in surveillance videos. ICME Workshops 2016: 1-6 - [c29]Omid Hosseini Jafari, Michael Ying Yang:
Real-time RGB-D based template matching pedestrian detection. ICRA 2016: 5520-5527 - [c28]Siwen Yin, Shizhan Chen, Zhiyong Feng, Keman Huang, Dongxiao He, Peng Zhao, Michael Ying Yang:
Node-Grained Incremental Community Detection for Streaming Networks. ICTAI 2016: 585-592 - [c27]Michael Ying Yang, Saif Dawood Salman Al-Shaikhli, Tao Jiang, Yanpeng Cao, Bodo Rosenhahn:
Bi-layer dictionary learning for remote sensing image classification. IGARSS 2016: 3059-3062 - [i6]Wentong Liao, Michael Ying Yang, Hanno Ackermann, Bodo Rosenhahn:
On Support Relations and Semantic Scene Graphs. CoRR abs/1609.05834 (2016) - [i5]Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother:
Can Ground Truth Label Propagation from Video help Semantic Segmentation? CoRR abs/1610.00731 (2016) - [i4]Omid Hosseini Jafari, Michael Ying Yang:
Real-Time RGB-D based Template Matching Pedestrian Detection. CoRR abs/1610.00748 (2016) - 2015
- [j5]Xuanzi Yong, Michael Ying Yang, Yanpeng Cao, Bodo Rosenhahn:
Descriptor evaluation and feature regression for multimodal image analysis. Mach. Vis. Appl. 26(7-8): 975-990 (2015) - [j4]Wenqi Huang, Xiaojin Gong, Michael Ying Yang:
Joint Object Segmentation and Depth Upsampling. IEEE Signal Process. Lett. 22(2): 192-196 (2015) - [c26]Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. BMVC 2015: 181.1-181.11 - [c25]Jianqiang Ren, Xiaojin Gong, Lu Yu, Wenhui Zhou, Michael Ying Yang:
Exploiting global priors for RGB-D saliency detection. CVPR Workshops 2015: 25-32 - [c24]Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. ICCV 2015: 954-962 - [c23]Wentong Liao, Bodo Rosenhahn, Michael Ying Yang:
Video Event Recognition by Combining HDP and Gaussian Process. ICCV Workshops 2015: 166-174 - [c22]Michael Ying Yang, Wentong Liao, Bodo Rosenhahn, Zheng Zhang:
Hyperspectral image classification using Gaussian process models. IGARSS 2015: 1717-1720 - [c21]Michael Ying Yang, Tao Jiang, Saif Dawood Salman Al-Shaikhli, Bodo Rosenhahn:
A novel dictionary learning method for remote sensing image classification. IGARSS 2015: 4364-4367 - [c20]Michael Ying Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn:
Temporally Object-Based Video Co-segmentation. ISVC (1) 2015: 198-209 - [c19]Wentong Liao, Jun Tang, Bodo Rosenhahn, Michael Ying Yang:
Integration of Gaussian process and MRF for hyperspectral image classification. JURSE 2015: 1-4 - [c18]Michael Ying Yang:
A Generic Probabilistic Graphical Model for Region-based Scene Interpretation. VISAPP (2) 2015: 486-491 - [c17]Michael Ying Yang, Yu Qiang, Bodo Rosenhahn:
A Global-to-Local Framework for Infrared and Visible Image Sequence Registration. WACV 2015: 381-388 - [i3]David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother:
Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation. CoRR abs/1507.07583 (2015) - [i2]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation. CoRR abs/1508.01521 (2015) - [i1]Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. CoRR abs/1508.04546 (2015) - 2014
- [j3]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Multi-region labeling and segmentation using a graph topology prior and atlas information in brain images. Comput. Medical Imaging Graph. 38(8): 725-734 (2014) - [j2]Muhammad Shoaib, Michael Ying Yang, Bodo Rosenhahn, Jörn Ostermann:
Estimating layout of cluttered indoor scenes using trajectory-based priors. Image Vis. Comput. 32(11): 870-883 (2014) - [c16]Michael Ying Yang, Sitong Feng, Bodo Rosenhahn:
Sparse Optimization for Motion Segmentation. ACCV Workshops (2) 2014: 375-389 - [c15]Michael Ying Yang, Xuanzi Yong, Bodo Rosenhahn:
Feature Regression for Multimodal Image Analysis. CVPR Workshops 2014: 770-777 - [c14]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Brain tumor classification using sparse coding and dictionary learning. ICIP 2014: 2774-2778 - [c13]Yongsheng Zhou, Chuanrong Li, Lingling Ma, Michael Ying Yang, Qi Liu:
Improved trihedral corner reflector for high-precision SAR calibration and validation. IGARSS 2014: 454-457 - [c12]Zheng Zhang, Michael Ying Yang, Mei Zhou, Xiang-zhao Zeng:
Simultaneous remote sensing image classification and annotation based on the spatial coherent topic model. IGARSS 2014: 1698-1701 - [c11]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Coupled Dictionary Learning for Automatic Multi-Label Brain Tumor Segmentation in Flair MRI images. ISVC (1) 2014: 489-500 - [c10]Michael Ying Yang, Bodo Rosenhahn:
Video segmentation with joint object and trajectory labeling. WACV 2014: 831-838 - 2013
- [c9]Michael Ying Yang:
Image Segmentation by Bilayer Superpixel Grouping. ACPR 2013: 552-556 - [c8]Oliver Müller, Michael Ying Yang, Bodo Rosenhahn:
Slice Sampling Particle Belief Propagation. ICCV 2013: 1129-1136 - [c7]Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn:
Medical Image Segmentation Using Multi-level Set Partitioning with Topological Graph Prior. PSIVT Workshops 2013: 157-168 - 2011
- [b1]Michael Ying Yang:
Hierarchical and spatial structures for interpreting images of man made scenes using graphical models. University of Bonn, 2011, pp. 1-98 - [c6]Michael Ying Yang, Wolfgang Förstner:
A hierarchical conditional random field model for labeling and classifying images of man-made scenes. ICCV Workshops 2011: 196-203 - [c5]Michael Ying Yang, Wolfgang Förstner:
Regionwise Classification of Building Facade Images. PIA 2011: 209-220 - [c4]Yanpeng Cao, Michael Ying Yang, John McDonald:
Robust alignment of wide baseline terrestrial laser scans via 3D viewpoint normalization. WACV 2011: 455-462 - 2010
- [c3]Michael Ying Yang, Yanpeng Cao, Wolfgang Förstner, John McDonald:
Robust Wide Baseline Scene Alignment Based on 3D Viewpoint Normalization. ISVC (1) 2010: 654-665 - [c2]Michael Ying Yang, Wolfgang Förstner, Martin Drauschke:
Hierarchical Conditional Random Field for Multi-class Image Classification. VISAPP (2) 2010: 464-469
2000 – 2009
- 2009
- [j1]Jörg Schmittwilken, Michael Ying Yang, Wolfgang Förstner, Lutz Plümer:
Integration of conditional random fields and attribute grammars for range data interpretation of man-made objects. Ann. GIS 15(2): 117-126 (2009) - [c1]Michael Ying Yang:
Multiregion level-set segmentation of synthetic aperture radar images. ICIP 2009: 1717-1720
Coauthor Index
[j24] [i68] [j22] [c69] [i65] [i61] [c64] [i56] [i53] [c63] [c62] [c61] [c60] [c59] [c57] [i50] [i49] [i48] [i47] [i46] [c55] [c54] [c53] [c52] [c51] [c50] [i44] [i43] [i42] [i40] [i39] [i38] [i37] [i35] [c48] [c46] [i29] [i26] [c42] [c41] [i23] [i22] [i21] [i19] [i18] [i13] [c40] [c39] [c38] [i12] [i10] [i8] [i7] [j9] [c27] [i6] [j5] [c23] [c22] [c21] [c20] [c19] [c17] [i2] [j3] [j2] [c16] [c15] [c14] [c11] [c10] [c8] [c7]
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