Bugra Tekin
Bugra Tekin
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Title
Cited by
Cited by
Year
Real-Time Seamless Single Shot 6D Object Pose Prediction
B Tekin, SN Sinha, P Fua
Computer Vision and Pattern Recognition (CVPR), 2018
4552018
Structured Prediction of 3D Human Pose with Deep Neural Networks
B Tekin, I Katircioglu, M Salzmann, V Lepetit, P Fua
British Machine Vision Conference (BMVC), 2016
2202016
Direct prediction of 3d body poses from motion compensated sequences
B Tekin, A Rozantsev, V Lepetit, P Fua
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
1852016
Direct prediction of 3d body poses from motion compensated sequences
B Tekin, A Rozantsev, V Lepetit, P Fua
Computer Vision and Pattern Recognition (CVPR), 2016
1852016
Learning to fuse 2d and 3d image cues for monocular body pose estimation
B Tekin, P Marquez Neila, M Salzmann, P Fua
International Conference on Computer Vision (ICCV), 2017
1802017
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
B Tekin, P Márquez-Neila, M Salzmann, P Fua
International Conference on Computer Vision (ICCV), 2017
1802017
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
B Tekin, F Bogo, M Pollefeys
Computer Vision and Pattern Recognition (CVPR), 2019
1062019
Learning separable filters
A Sironi, B Tekin, R Rigamonti, V Lepetit, P Fua
Pattern Analysis and Machine Intelligence (PAMI) 37 (1), 94-106, 2015
922015
Learning Latent Representations of 3D Human Pose with Deep Neural Networks
I Katircioglu, B Tekin, M Salzmann, V Lepetit, P Fua
International Journal of Computer Vision (IJCV), 1-16, 2018
472018
Fusing 2d uncertainty and 3d cues for monocular body pose estimation
B Tekin, P Marquez-Neila, M Salzmann, P Fua
arXiv preprint arXiv:1611.05708 8, 2016
362016
Predicting people’s 3d poses from short sequences
B Tekin, X Sun, X Wang, V Lepetit, P Fua
arXiv preprint arXiv: 1504.08200, 2015
342015
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction
Y Hasson, B Tekin, F Bogo, I Laptev, M Pollefeys, C Schmid
Computer Vision and Pattern Recognition (CVPR), 2020
322020
Hololens 2 research mode as a tool for computer vision research
D Ungureanu, F Bogo, S Galliani, P Sama, C Meekhof, J Stühmer, ...
arXiv preprint arXiv:2008.11239, 2020
122020
Benefits of consistency in image denoising with steerable wavelets
B Tekin, US Kamilov, E Bostan, M Unser
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2013
92013
Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence
P Fua, V Lepetit, A Rozantsev, B Tekin
US Patent App. US 2017-0316578 A1, 2017
72017
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
H Coskun, MZ Zia, B Tekin, F Bogo, N Navab, F Tombari, H Sawhney
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
62021
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition
T Kwon, B Tekin, J Stuhmer, F Bogo, M Pollefeys
International Conference on Computer Vision (ICCV), 2021
22021
Reconstructing and grounding narrated instructional videos in 3D
D Zhukov, I Rocco, I Laptev, J Sivic, JL Schnberger, B Tekin, M Pollefeys
arXiv preprint arXiv:2109.04409, 2021
2021
Action classification based on manipulated object movement
MZ Zia, B Federica, HS Sawhney, H Coskun, B Tekin
US Patent 11,106,949, 2021
2021
Predicting three-dimensional articulated and target object pose
MAL Pollefeys, B Tekin, B Federica
US Patent 11,004,230, 2021
2021
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Articles 1–20