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3Robust Shape Fitting for 3D Scene Abstraction
F. Kluger, E. Brachmann, M. Yang, and B. Rosenhahn. IEEE Transactions on Pattern Analysis and Machine Intelligence, (March 2024)
6 months ago by @tntl3s
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myown
robust
leibnizailab
shape
fitting
myownrobustleibnizailabshapefitting
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1Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection
C. Reinders, M. Yang, and B. Rosenhahn. Volunteered Geographic Information, (2024)
11 months ago by @tntl3s
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myown
leibnizailab
one
network
myownleibnizailabonenetwork
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2Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience
C. Lee, M. Wang, C. Chen, F. Yang, and A. Dockhorn. 2023 IEEE Congress on Evolutionary Computation, page 1-8. (2023)(to be published).
a year ago by @tntl3s
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Agent
myown
leibnizailab
High
Assessment
School
Genetic
for
Student
AgentmyownleibnizailabHighAssessmentSchoolGeneticforStudent
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2SSGVS: Semantic Scene Graph-to-Video Synthesis
Y. Cong, J. Yi, B. Rosenhahn, and M. Yang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, (2023)
2 years ago by @tntl3s
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myown
leibnizailab
Synthesis
Semantic
Scene
Graph-to-Video
myownleibnizailabSynthesisSemanticSceneGraph-to-Video
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1RelTR: Relation Transformer for Scene Graph Generation
Y. Cong, M. Yang, and B. Rosenhahn. IEEE transactions on pattern analysis and machine intelligence (TPAMI), (2023)
2 years ago by @tntl3s
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myown
Transformer
leibnizailab
Relation
myownTransformerleibnizailabRelation
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1Semantic Segmentation of Natural and Man-Made Fruits Using a Spatial-Spectral Two-Channel-CNN for Sparse Data
U. Pestel-Schiller, Y. Yang, and J. Ostermann. 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), (September 2022)
2 years ago by @tntl3s
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myown
leibnizailab
Segmentation
Segmantic
myownleibnizailabSegmentationSegmantic
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3Spatial-Temporal Transformer for Dynamic Scene Graph Generation
Y. Cong, W. Liao, H. Ackermann, M. Yang, and B. Rosenhahn. International Conference on Computer Vision (ICCV), (July 2021)
3 years ago by @tntl3s
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Graph
myown
leibnizailab
Dynamic
Scene
Generation
GraphmyownleibnizailabDynamicSceneGeneration
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1AMENet: Attentive Maps Encoder Network for Trajectory Prediction
C. Hao, W. Liao, X. Tang, M. Yang, M. Sester, and B. Rosenhahn. ISPRS Journal of Photogrammetry and Remote Sensing, 172, page 253--266. (2021)
3 years ago by @tntl3s
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leibnizailab
AMENet
myownleibnizailabAMENet
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4FairNN - Conjoint Learning of Fair Representations for Fair Decisions.
T. Hu, V. Iosifidis, W. Liao, H. Zhang, M. Yang, E. Ntoutsi, and B. Rosenhahn. Discovery Science, volume 12323 of Lecture Notes in Computer Science, Springer International Publishing, (2020)
3 years ago by @sophieschr
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leibnizailab
learning
l3s
leibnizailablearningl3s
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2Image Captioning through Image Transformer
H. Sen, L. Wentong, H. Rezazadegan Tavakoli, M. Ying Yang, B. Rosenhahn, and N. Pugeault. (November 2020)
3 years ago by @sophieschr
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leibnizailab
l3s
leibnizailabl3s
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2Target-Tailored Source-Transformation for Scene Graph Generation
W. Liao, C. Lan, M. Yang, W. Zeng, and B. Rosenhahn. In CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, (June 2021)
4 years ago by @tntl3s
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leibnizailab
Source-Transformation
Target-Tailored
myownleibnizailabSource-TransformationTarget-Tailored
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2Context-Aware Layout to Image Generation with Enhanced Object Appearance
S. He, W. Liao, M. Yang, Y. Yang, Y. Song, B. Rosenhahn, and T. Xiang. IEEE Conference on Computer Vision and Pattern Recognition, (June 2021)
4 years ago by @tntl3s
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myown
leibnizailab
Layout
Context-Aware
myownleibnizailabLayoutContext-Aware
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1Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
Z. Liu, A. Pavao, Z. Xu, S. Escalera, F. Ferreira, I. Gyon, S. Hong, F. Hutter, R. Ji, J. Junior and 15 other author(s). IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.
4 years ago by @tntl3s
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myown
2019
leibnizailab
AutoDL
challenge
ChaLearn
myown2019leibnizailabAutoDLchallengeChaLearn
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3Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
F. Kluger, H. Ackermann, E. Brachmann, M. Yang, and B. Rosenhahn. CVPR, (June 2021)
4 years ago by @tntl3s
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myown
Revisited
leibnizailab
Cuboids
myownRevisitedleibnizailabCuboids
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1Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
Z. Liu, A. Pavao, Z. Xu, S. Escalera, F. Ferreira, I. Guyon, S. Hong, F. Hutter, R. Ji, J. Jacques and 15 other author(s). HAL, (September 2020)
4 years ago by @tntl3s
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myown
leibnizailab
Winning
AutoDL
solutions
challenge
ChaLearn
myownleibnizailabWinningAutoDLsolutionschallengeChaLearn
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2Image Captioning through Image Transformer
H. Sen, L. Wentong, H. Tavakoli, M. Yang, B. Rosenhahn, and N. Pugeault. Asian Conference on Computer Vision (ACCV), (November 2020)
4 years ago by @tntl3s
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myown
Captioning
leibnizailab
Image
myownCaptioningleibnizailabImage
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1MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
H. Cheng, W. Liao, Y. Ying, M. Sester, and B. Rosenhahn. 23rd International Conference on Intelligent Transportation Systems (ITSC), (September 2020)In cooperation with Institut für Kartographie und Geoinformatik, Uni Hannover, Germany.
4 years ago by @tntl3s
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myown
Encoder
leibnizailab
Mixed
Network
Traffic
Multi-Context
myownEncoderleibnizailabMixedNetworkTrafficMulti-Context
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1LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
W. Liao, X. Cheng, J. Yang, S. Roth, M. Goesele, M. Yang, and B. Rosenhahn. XXIV ISPRS Congress, 381, page 8. (September 2020)oral.
4 years ago by @tntl3s
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myown
LR-CNN
leibnizailab
myownLR-CNNleibnizailab
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1FairNN - Conjoint Learning of Fair Representations for Fair Decisions
T. Hu, V. Iosifidis, L. Wentong, Z. Hang, M. Yang, E. Ntoutsi, and B. Rosenhahn. 23rd International Conference on Discovery Science, (October 2020)Code available: https://github.com/wtliao/FairNN.
4 years ago by @tntl3s
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myown
Fair
leibnizailab
Representations
Decisions
for
myownFairleibnizailabRepresentationsDecisionsfor
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1NODIS: Neural Ordinary Differential Scene Understanding
Y. Cong, H. Ackermann, W. Liao, M. Yang, and B. Rosenhahn. European Conference on Computer Vision (ECCV), (August 2020)
4 years ago by @tntl3s
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leibnizailab
NODIS
myownleibnizailabNODIS
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3Robust Shape Fitting for 3D Scene Abstraction

1Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection

2Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience

2SSGVS: Semantic Scene Graph-to-Video Synthesis

1RelTR: Relation Transformer for Scene Graph Generation

1Semantic Segmentation of Natural and Man-Made Fruits Using a Spatial-Spectral Two-Channel-CNN for Sparse Data

3Spatial-Temporal Transformer for Dynamic Scene Graph Generation

1AMENet: Attentive Maps Encoder Network for Trajectory Prediction

4FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

2Image Captioning through Image Transformer

2Target-Tailored Source-Transformation for Scene Graph Generation

2Context-Aware Layout to Image Generation with Enhanced Object Appearance

1Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019

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

1Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019

2Image Captioning through Image Transformer

1MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic

1LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

1FairNN - Conjoint Learning of Fair Representations for Fair Decisions

1NODIS: Neural Ordinary Differential Scene Understanding

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