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Krähenbühl, Philipp
83  results:
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1

PartDistillation: Learning Parts from Instance Segmentation:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Cho, Jang Hyun ; Krahenbuhl, Philipp ; Ramanathan, Vignesh - p. 7152-7161 , 2023
Link: https://doi.org/10.1109/..
 
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2

Learning Video Representations from Large Language Models:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhao, Yue ; Misra, Ishan ; Krahenbuhl, Philipp. - p. 6586-6597 , 2023
Link: https://doi.org/10.1109/..
 
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3

Global Tracking Transformers:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhou, Xingyi ; Yin, Tianwei ; Koltun, Vladlen. - p. 8761-8770 , 2022
Link: https://doi.org/10.1109/..
 
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4

Detecting Twenty-Thousand Classes Using Image-Level Supervi..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Zhou, Xingyi ; Girdhar, Rohit ; Joulin, Armand.. - p. 350-368 , 2022
Link: https://doi.org/10.1007/..
 
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5

Long-tail Detection with Effective Class-Margins:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Hyun Cho, Jang ; Krähenbühl, Philipp - p. 698-714 , 2022
Link: https://doi.org/10.1007/..
 
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6

Real-Time Online Video Detection with Temporal Smoothing Tr..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Zhao, Yue ; Krähenbühl, Philipp - p. 485-502 , 2022
Link: https://doi.org/10.1007/..
 
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7

Cross-view Transformers for real-time Map-view Semantic Seg..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhou, Brady ; Krahenbuhl, Philipp - p. 13750-13759 , 2022
Link: https://doi.org/10.1109/..
 
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8

Simple Multi-dataset Detection:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhou, Xingyi ; Koltun, Vladlen ; Krahenbuhl, Philipp - p. 7561-7570 , 2022
Link: https://doi.org/10.1109/..
 
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9

Learning from All Vehicles:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Chen, Dian ; Krahenbuhl, Philipp - p. 17201-17210 , 2022
Link: https://doi.org/10.1109/..
 
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10

Learning to drive from a world on rails:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),
Chen, Dian ; Koltun, Vladlen ; Krahenbuhl, Philipp - p. 15570-15579 , 2021
Link: https://doi.org/10.1109/..
 
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11

Domain Adaptation Through Task Distillation:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Zhou, Brady ; Kalra, Nimit ; Krähenbühl, Philipp - p. 664-680 , 2020
Link: https://doi.org/10.1007/..
 
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12

Tracking Objects as Points:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Zhou, Xingyi ; Koltun, Vladlen ; Krähenbühl, Philipp - p. 474-490 , 2020
Link: https://doi.org/10.1007/..
 
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13

A Multigrid Method for Efficiently Training Video Models:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Wu, Chao-Yuan ; Girshick, Ross ; He, Kaiming.. - p. 150-159 , 2020
Link: https://doi.org/10.1109/..
 
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14

Bottom-Up Object Detection by Grouping Extreme and Center P..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhou, Xingyi ; Zhuo, Jiacheng ; Krahenbuhl, Philipp - p. 850-859 , 2019
Link: https://doi.org/10.1109/..
 
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15

Long-Term Feature Banks for Detailed Video Understanding:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Wu, Chao-Yuan ; Feichtenhofer, Christoph ; Fan, Haoqi... - p. 284-293 , 2019
Link: https://doi.org/10.1109/..
 
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