Philipp Krähenbühl

According to our database, Philipp Krähenbühl authored at least 58 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distilling Vision-Language Models on Millions of Videos.

Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan

CoRR, 2024

2023

Language-conditioned Detection Transformer.

Jang Hyun Cho, Philipp Krähenbühl

CoRR, 2023

Training a Large Video Model on a Single Machine in a Day.

Yue Zhao, Philipp Krähenbühl

CoRR, 2023

Predicting a Protein's Stability under a Million Mutations.

Jeffrey Ouyang-Zhang, Daniel Jesus Diaz, Adam R. Klivans, Philipp Krähenbühl

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PartDistillation: Learning Parts from Instance Segmentation.

Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Video Representations from Large Language Models.

Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Language Conditioned Traffic Generation.

Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl

Proceedings of the Conference on Robot Learning, 2023

2022

NMS Strikes Back.

Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl

CoRR, 2022

Detecting Twenty-Thousand Classes Using Image-Level Supervision.

Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra

Proceedings of the Computer Vision - ECCV 2022, 2022

Real-Time Online Video Detection with Temporal Smoothing Transformers.

Yue Zhao, Philipp Krähenbühl

Proceedings of the Computer Vision - ECCV 2022, 2022

Long-tail Detection with Effective Class-Margins.

Jang Hyun Cho, Philipp Krähenbühl

Proceedings of the Computer Vision - ECCV 2022, 2022

Global Tracking Transformers.

Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Simple Multi-dataset Detection.

Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-view Transformers for real-time Map-view Semantic Segmentation.

Brady Zhou, Philipp Krähenbühl

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning from All Vehicles.

Dian Chen, Philipp Krähenbühl

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Probabilistic two-stage detection.

Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

CoRR, 2021

Multimodal Virtual Point 3D Detection.

Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory Optimization for Deep Networks.

Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to drive from a world on rails.

Dian Chen, Vladlen Koltun, Philipp Krähenbühl

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Center-Based 3D Object Detection and Tracking.

Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Long-Form Video Understanding.

Chao-Yuan Wu, Philipp Krähenbühl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Lossless Image Compression through Super-Resolution.

Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl

CoRR, 2020

Domain Adaptation Through Task Distillation.

Brady Zhou, Nimit Kalra, Philipp Krähenbühl

Proceedings of the Computer Vision - ECCV 2020, 2020

Tracking Objects as Points.

Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

Proceedings of the Computer Vision - ECCV 2020, 2020

A Multigrid Method for Efficiently Training Video Models.

Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Does computer vision matter for action?

Brady Zhou, Philipp Krähenbühl, Vladlen Koltun

Sci. Robotics, 2019

Objects as Points.

Xingyi Zhou, Dequan Wang, Philipp Krähenbühl

CoRR, 2019

Monocular Plan View Networks for Autonomous Driving.

Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Don't let your Discriminator be fooled.

Brady Zhou, Philipp Krähenbühl

Proceedings of the 7th International Conference on Learning Representations, 2019

Joint Monocular 3D Vehicle Detection and Tracking.

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bottom-Up Object Detection by Grouping Extreme and Center Points.

Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Long-Term Feature Banks for Detailed Video Understanding.

Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning by Cheating.

Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Assessing Generalization in Deep Reinforcement Learning.

Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song

CoRR, 2018

Video Compression Through Image Interpolation.

Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl

Proceedings of the Computer Vision - ECCV 2018, 2018

Domain Transfer Through Deep Activation Matching.

Haoshuo Huang, Qixing Huang, Philipp Krähenbühl

Proceedings of the Computer Vision - ECCV 2018, 2018

Compressed Video Action Recognition.

Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Free Supervision From Video Games.

Philipp Krähenbühl

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A Century of Portraits: A Visual Historical Record of American High School Yearbooks.

Shiry Ginosar, Kate Rakelly, Sarah Sachs, Brian Yin, Crystal Lee, Philipp Krähenbühl, Alexei A. Efros

IEEE Trans. Computational Imaging, 2017

Adversarial Feature Learning.

Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

Proceedings of the 5th International Conference on Learning Representations, 2017

Sampling Matters in Deep Embedding Learning.

R. Manmatha, Chao-Yuan Wu, Alexander J. Smola, Philipp Krähenbühl

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Data-dependent Initializations of Convolutional Neural Networks.

Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

Proceedings of the 4th International Conference on Learning Representations, 2016

Generative Visual Manipulation on the Natural Image Manifold.

Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Dense Correspondence via 3D-Guided Cycle Consistency.

Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Context Encoders: Feature Learning by Inpainting.

Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Constrained Structured Regression with Convolutional Neural Networks.

Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell

CoRR, 2015

Learning a Discriminative Model for the Perception of Realism in Composite Images.

Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition.

Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation.

Deepak Pathak, Philipp Krähenbühl, Trevor Darrell

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to propose objects.

Philipp Krähenbühl, Vladlen Koltun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Dense random fields.

Philipp Krähenbühl

PhD thesis, 2014

Geodesic Object Proposals.

Philipp Krähenbühl, Vladlen Koltun

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Parameter Learning and Convergent Inference for Dense Random Fields.

Philipp Krähenbühl, Vladlen Koltun

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Efficient Nonlocal Regularization for Optical Flow.

Philipp Krähenbühl, Vladlen Koltun

Proceedings of the Computer Vision - ECCV 2012, 2012

Saliency filters: Contrast based filtering for salient region detection.

Federico Perazzi, Philipp Krähenbühl, Yael Pritch, Alexander Hornung

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials.

Philipp Krähenbühl, Vladlen Koltun

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Gesture controllers.

Sergey Levine, Philipp Krähenbühl, Sebastian Thrun, Vladlen Koltun

ACM Trans. Graph., 2010

2009

A system for retargeting of streaming video.

Philipp Krähenbühl, Manuel Lang, Alexander Hornung, Markus H. Gross

ACM Trans. Graph., 2009