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Ackermann, Hanno
36  Ergebnisse:
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1

Multilinear Modelling of Faces and Expressions:

Grasshof, Stella ; Ackermann, Hanno ; Brandt, Sami Sebastian.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  43 (2021)  10 - p. 3540-3554 , 2021
Link: https://doi.org/10.1109/..
 
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2

Spatial-Temporal Transformer for Dynamic Scene Graph Genera..:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),
Cong, Yuren ; Liao, Wentong ; Ackermann, Hanno.. - p. 16352-16362 , 2021
Link: https://doi.org/10.1109/..
 
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3

NODIS: Neural Ordinary Differential Scene Understanding:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Cong, Yuren ; Ackermann, Hanno ; Liao, Wentong.. - p. 636-653 , 2020
Link: https://doi.org/10.1007/..
 
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4

Temporally Consistent Horizon Lines:

, In: 2020 IEEE International Conference on Robotics and Automation (ICRA),
Kluger, Florian ; Ackermann, Hanno ; Yang, Michael Ying. - p. 3161-3167 , 2020
Link: https://doi.org/10.1109/..
 
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5

CONSAC: Robust Multi-Model Fitting by Conditional Sample Co..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Kluger, Florian ; Brachmann, Eric ; Ackermann, Hanno... - p. 4633-4642 , 2020
Link: https://doi.org/10.1109/..
 
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6

Uncalibrated Non-Rigid Factorisation by Independent Subspac..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Brandt, Sami Sebastian ; Ackermann, Hanno ; Grasshof, Stella - p. 569-578 , 2019
Link: https://doi.org/10.1109/..
 
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7

A Kinematic Chain Space for Monocular Motion Capture:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,
Wandt, Bastian ; Ackermann, Hanno ; Rosenhahn, Bodo - p. 31-47 , 2019
Link: https://doi.org/10.1007/..
 
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8

Learning Disentangled Representations via Independent Subsp..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Awiszus, Maren ; Ackermann, Hanno ; Rosenhahn, Bodo - p. 560-568 , 2019
Link: https://doi.org/10.1109/..
 
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9

Learning Convolutional Neural Networks for Object Detection..:

, In: Multimodal Scene Understanding,
Reinders, Christoph ; Ackermann, Hanno ; Yang, Michael Ying. - p. 65-100 , 2019
Link: https://doi.org/10.1016/..
 
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10

List of Contributors:

, In: Multimodal Scene Understanding,
Ackermann, Hanno ; Cao, Yanlong ; Cao, Yanpeng... - p. vii-ix , 2019
Link: https://doi.org/10.1016/..
 
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11

Apathy Is the Root of All Expressions:

, In: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017),
Grasshof, Stella ; Ackermann, Hanno ; Brandt, Sami S.. - p. 658-665 , 2017
Link: https://doi.org/10.1109/..
 
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12

On support relations and semantic scene graphs:

Yang, Michael Ying ; Liao, Wentong ; Ackermann, Hanno.
ISPRS Journal of Photogrammetry and Remote Sensing.  131 (2017)  - p. 15-25 , 2017
Link: https://doi.org/10.1016/..
 
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13

3D Reconstruction of Human Motion from Monocular Image Sequ..:

Wandt, Bastian ; Ackermann, Hanno ; Rosenhahn, Bodo
IEEE Transactions on Pattern Analysis and Machine Intelligence.  38 (2016)  8 - p. 1505-1516 , 2016
Link: https://doi.org/10.1109/..
 
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14

Who With Whom And How? : Extracting Large Social Network..:

, In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management,
Siersdorfer, Stefan ; Kemkes, Philipp ; Ackermann, Hanno. - p. 1491-1500 , 2015
Link: https://dl.acm.org/doi/1..
 
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15

Fast Projective Reconstruction: Toward Ultimate Efficiency:

Ackermann, Hanno ; Kanatani, Kenichi
IPSJ Digital Courier.  4 (2008)  - p. 257-267 , 2008
Link: https://doi.org/10.2197/..
 
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