עקוב אחר
Philipp Krähenbühl
Philipp Krähenbühl
UT Austin
כתובת אימייל מאומתת בדומיין cs.utexas.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Context encoders: Feature learning by inpainting‏
D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros‏
Proceedings of the IEEE conference on computer vision and pattern …, 2016‏
67482016
Objects as points‏
X Zhou, D Wang, P Krähenbühl‏
arXiv preprint arXiv:1904.07850, 2019‏
44742019
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials‏
P Krähenbühl, V Koltun‏
NIPS, 2011‏
41522011
Adversarial feature learning‏
J Donahue, P Krähenbühl, T Darrell‏
arXiv preprint arXiv:1605.09782, 2016‏
25422016
Saliency filters: Contrast based filtering for salient region detection‏
F Perazzi, P Krähenbühl, Y Pritch, A Hornung‏
2012 IEEE conference on computer vision and pattern recognition, 733-740, 2012‏
23732012
Center-based 3d object detection and tracking‏
T Yin, X Zhou, P Krähenbühl‏
CVPR, 2021‏
17802021
Generative visual manipulation on the natural image manifold‏
JY Zhu, P Krähenbühl, E Shechtman, AA Efros‏
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016‏
16232016
Tracking Objects as Points‏
X Zhou, V Koltun, P Krähenbühl‏
ECCV, 2020‏
13052020
Bottom-up object detection by grouping extreme and center points‏
X Zhou, J Zhuo, P Krahenbuhl‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019‏
11792019
Sampling matters in deep embedding learning‏
CY Wu, R Manmatha, AJ Smola, P Krähenbühl‏
ICCV 2017, 2017‏
11212017
Constrained convolutional neural networks for weakly supervised segmentation‏
D Pathak, P Krahenbuhl, T Darrell‏
Proceedings of the IEEE international conference on computer vision, 1796-1804, 2015‏
7812015
Long-term feature banks for detailed video understanding‏
CY Wu, C Feichtenhofer, H Fan, K He, P Krahenbuhl, R Girshick‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019‏
5902019
Detecting twenty-thousand classes using image-level supervision‏
X Zhou, R Girdhar, A Joulin, P Krähenbühl, I Misra‏
European Conference on Computer Vision, 350-368, 2022‏
5802022
Learning by cheating‏
D Chen, B Zhou, V Koltun, P Krähenbühl‏
Conference on Robot Learning, 66-75, 2019‏
5192019
Geodesic object proposals‏
P Krähenbühl, V Koltun‏
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014‏
4732014
Learning dense correspondence via 3d-guided cycle consistency‏
T Zhou, P Krahenbuhl, M Aubry, Q Huang, AA Efros‏
Proceedings of the IEEE conference on computer vision and pattern …, 2016‏
4402016
Compressed video action recognition‏
CY Wu, M Zaheer, H Hu, R Manmatha, AJ Smola, P Krähenbühl‏
Proceedings of the IEEE conference on computer vision and pattern …, 2018‏
4082018
Video compression through image interpolation‏
CY Wu, N Singhal, P Krahenbuhl‏
Proceedings of the European conference on computer vision (ECCV), 416-431, 2018‏
3882018
A system for retargeting of streaming video‏
P Krähenbühl, M Lang, A Hornung, M Gross‏
ACM SIGGRAPH Asia 2009 papers, 1-10, 2009‏
3092009
Probabilistic two-stage detection‏
X Zhou, V Koltun, P Krähenbühl‏
arXiv preprint arXiv:2103.07461, 2021‏
3022021
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מאמרים 1–20