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Anil Armagan
Anil Armagan
Research Associate, Huawei Technologies Research & Development (UK) Ltd
Bestätigte E-Mail-Adresse bei huawei.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
A Armagan, G Garcia-Hernando, S Baek, S Hampali, M Rad, Z Zhang, ...
European Conference on Computer Vision (ECCV), 2020
372020
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
A Armagan, M Hirzer, PM Roth, V Lepetit
In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017
352017
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images
J Sock, G Garcia-Hernando, A Armagan, TK Kim
2020 International Conference on 3D Vision (3DV), 291-300, 2020
192020
Toward an estimation of user tagging credibility for social image retrieval
AL Ginsca, A Popescu, B Ionescu, A Armagan, I Kanellos
Proceedings of the 22nd ACM international conference on Multimedia, 1021-1024, 2014
192014
Accurate Camera Registration in Urban Environments Using High-Level Feature Matching
A Armagan, M Hirzer, PM Roth, V Lepetit
In Proc. British Machine Vision Conf. (BMVC), 2017., 2017
172017
Semantic segmentation for 3d localization in urban environments
A Armagan, M Hirzer, V Lepetit
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
152017
What is usual in unusual videos? Trajectory snippet histograms for discovering unusualness
A Iscen, A Armagan, P Duygulu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
122014
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction
P Castro, A Armagan, TK Kim
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
112020
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects
J Sock, P Castro, A Armagan, G Garcia-Hernando, TK Kim
arXiv preprint arXiv:2003.12344, 2020
52020
Cmu informedia@ trecvid 2014: Semantic indexing
L Jiang, X Chang, Z Mao, A Armagan, Z Lan, X Li, S Yu, Y Yang, D Meng, ...
Proc TRECVID 2014 Workshop, Gaithersburg, USA, 2014
52014
Is my Depth Ground-Truth Good Enough? HAMMER--Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression
HJ Jung, P Ruhkamp, G Zhai, N Brasch, Y Li, Y Verdie, J Song, Y Zhou, ...
arXiv preprint arXiv:2205.04565, 2022
42022
MUCKE Participation at Retrieving Diverse Social Images Task of MediaEval 2013.
A Armagan, A Popescu, P Duygulu
MediaEval 1043, 2013
32013
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
HJ Jung, P Ruhkamp, G Zhai, N Brasch, Y Li, Y Verdie, J Song, Y Zhou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
Scene classification with random forests and object and color distributions
A İşcen, E Gölge, A Armağan, P Duygulu
Signal Processing and Communications Applications Conference (SIU), 2013 …, 2013
12013
3D Localization in Urban Environments from Single Images
A Armagan, M Hirzer, PM Roth, V Lepetit
OAGM/AAPR ARW 2017: Joint Workshop on “Vision, Automation & Robotics”, 2017
2017
Informedia at TRECVID2014: MED and MER, Semantic Indexing, Surveillance Event Detection
SI Yu, L Jiang, Z Xu, Z Lan, S Xu, X Chang, X Li, Z Mao, C Gan, Y Miao, ...
Carnegie Mellon University Pittsburgh United States, 2014
2014
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