Philipp Krähenbühl

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 77

Top Topics

Convolutional Neural Networks

Intrinsic Image Decomposition

Lossless Image Compression

Top Venues

Publications

Yue Zhao, Yuanjun Xiong, Philipp Krähenbühl
Image and Video Tokenization with Binary Spherical Quantization. CoRR (2024)
Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone
Language-Image Models with 3D Understanding. CoRR (2024)
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
Distilling Vision-Language Models on Millions of Videos. CoRR (2024)
Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan
PartDistillation: Learning Parts from Instance Segmentation. CVPR (2023)
Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar
Learning Video Representations from Large Language Models. CVPR (2023)
Jeffrey Ouyang-Zhang, Daniel Diaz, Adam Klivans, Philipp Krähenbühl
Predicting a Protein's Stability under a Million Mutations. NeurIPS (2023)
Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl
Language Conditioned Traffic Generation. CoRR (2023)
Jang Hyun Cho, Philipp Krähenbühl
Language-conditioned Detection Transformer. CoRR (2023)
Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl
Language Conditioned Traffic Generation. CoRL (2023)
Yue Zhao, Philipp Krähenbühl
Training a Large Video Model on a Single Machine in a Day. CoRR (2023)
Jang Hyun Cho, Philipp Krähenbühl
Long-tail Detection with Effective Class-Margins. CoRR (2023)
Jang Hyun Cho, Philipp Krähenbühl
Long-tail Detection with Effective Class-Margins. ECCV (8) (2022)
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) (2022)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Simple Multi-dataset Detection. CVPR (2022)
Dian Chen, Philipp Krähenbühl
Learning from All Vehicles. CVPR (2022)
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
Global Tracking Transformers. CVPR (2022)
Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar
Learning Video Representations from Large Language Models. CoRR (2022)
Brady Zhou, Philipp Krähenbühl
Cross-view Transformers for real-time Map-view Semantic Segmentation. CVPR (2022)
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
Global Tracking Transformers. CoRR (2022)
Yue Zhao, Philipp Krähenbühl
Real-Time Online Video Detection with Temporal Smoothing Transformers. ECCV (34) (2022)
Yue Zhao, Philipp Krähenbühl
Real-time Online Video Detection with Temporal Smoothing Transformers. CoRR (2022)
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
Detecting Twenty-thousand Classes using Image-level Supervision. CoRR (2022)
Dian Chen, Philipp Krähenbühl
Learning from All Vehicles. CoRR (2022)
Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl
NMS Strikes Back. CoRR (2022)
Brady Zhou, Philipp Krähenbühl
Cross-view Transformers for real-time Map-view Semantic Segmentation. CoRR (2022)
Chao-Yuan Wu, Philipp Krähenbühl
Towards Long-Form Video Understanding. CVPR (2021)
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Multimodal Virtual Point 3D Detection. NeurIPS (2021)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Simple multi-dataset detection. CoRR (2021)
Chao-Yuan Wu, Philipp Krähenbühl
Towards Long-Form Video Understanding. CoRR (2021)
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Multimodal Virtual Point 3D Detection. CoRR (2021)
Dian Chen, Vladlen Koltun, Philipp Krähenbühl
Learning to drive from a world on rails. ICCV (2021)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Probabilistic two-stage detection. CoRR (2021)
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Center-Based 3D Object Detection and Tracking. CVPR (2021)
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
Memory Optimization for Deep Networks. ICLR (2021)
Dian Chen, Vladlen Koltun, Philipp Krähenbühl
Learning to drive from a world on rails. CoRR (2021)
Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl
Lossless Image Compression through Super-Resolution. CoRR (2020)
Brady Zhou, Nimit Kalra, Philipp Krähenbühl
Domain Adaptation Through Task Distillation. CoRR (2020)
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
Memory Optimization for Deep Networks. CoRR (2020)
Brady Zhou, Nimit Kalra, Philipp Krähenbühl
Domain Adaptation Through Task Distillation. ECCV (26) (2020)
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
A Multigrid Method for Efficiently Training Video Models. CVPR (2020)
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Center-based 3D Object Detection and Tracking. CoRR (2020)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Tracking Objects as Points. ECCV (4) (2020)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Tracking Objects as Points. CoRR (2020)
Brady Zhou, Philipp Krähenbühl, Vladlen Koltun
Does computer vision matter for action? CoRR (2019)
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
Joint Monocular 3D Vehicle Detection and Tracking. ICCV (2019)
Xingyi Zhou, Dequan Wang, Philipp Krähenbühl
Objects as Points. CoRR (2019)
Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
Bottom-Up Object Detection by Grouping Extreme and Center Points. CVPR (2019)
Brady Zhou, Philipp Krähenbühl, Vladlen Koltun
Does computer vision matter for action? Sci. Robotics 4 (30) (2019)
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
Learning by Cheating. CoRR (2019)
Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
Monocular Plan View Networks for Autonomous Driving. IROS (2019)
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
Long-Term Feature Banks for Detailed Video Understanding. CVPR (2019)
Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
Bottom-up Object Detection by Grouping Extreme and Center Points. CoRR (2019)
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
Learning by Cheating. CoRL (2019)
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
A Multigrid Method for Efficiently Training Video Models. CoRR (2019)
Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
Monocular Plan View Networks for Autonomous Driving. CoRR (2019)
Brady Zhou, Philipp Krähenbühl
Don't let your Discriminator be fooled. ICLR (Poster) (2019)
Philipp Krähenbühl
Free Supervision From Video Games. CVPR (2018)
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl
Video Compression Through Image Interpolation. ECCV (8) (2018)
Haoshuo Huang, Qixing Huang, Philipp Krähenbühl
Domain Transfer Through Deep Activation Matching. ECCV (16) (2018)
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
Compressed Video Action Recognition. CVPR (2018)
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
Long-Term Feature Banks for Detailed Video Understanding. CoRR (2018)
Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song
Assessing Generalization in Deep Reinforcement Learning. CoRR (2018)
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
Joint Monocular 3D Vehicle Detection and Tracking. CoRR (2018)
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl
Video Compression through Image Interpolation. CoRR (2018)
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
Compressed Video Action Recognition. CoRR (2017)
Shiry Ginosar, Kate Rakelly, Sarah Sachs, Brian Yin, Crystal Lee, Philipp Krähenbühl, Alexei A. Efros
A Century of Portraits: A Visual Historical Record of American High School Yearbooks. IEEE Trans. Computational Imaging 3 (3) (2017)
Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl
Sampling Matters in Deep Embedding Learning. CoRR (2017)
R. Manmatha, Chao-Yuan Wu, Alexander J. Smola, Philipp Krähenbühl
Sampling Matters in Deep Embedding Learning. ICCV (2017)
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
Adversarial Feature Learning. ICLR (Poster) (2017)
Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros
Context Encoders: Feature Learning by Inpainting. CVPR (2016)
Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros
Context Encoders: Feature Learning by Inpainting. CoRR (2016)
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
Adversarial Feature Learning. CoRR (2016)
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
Generative Visual Manipulation on the Natural Image Manifold. CoRR (2016)
Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros
Learning Dense Correspondence via 3D-guided Cycle Consistency. CoRR (2016)
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
Generative Visual Manipulation on the Natural Image Manifold. ECCV (5) (2016)
Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros
Learning Dense Correspondence via 3D-Guided Cycle Consistency. CVPR (2016)
Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell
Data-dependent Initializations of Convolutional Neural Networks. ICLR (Poster) (2016)
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
Learning a Discriminative Model for the Perception of Realism in Composite Images. ICCV (2015)
Deepak Pathak, Philipp Krähenbühl, Trevor Darrell
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. ICCV (2015)
Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell
Constrained Structured Regression with Convolutional Neural Networks. CoRR (2015)
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
Learning a Discriminative Model for the Perception of Realism in Composite Images. CoRR (2015)
Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros
Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition. CoRR (2015)
Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros
Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition. ICCV (2015)
Deepak Pathak, Philipp Krähenbühl, Trevor Darrell
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. CoRR (2015)
Philipp Krähenbühl, Vladlen Koltun
Learning to propose objects. CVPR (2015)
Philipp Krähenbühl, Vladlen Koltun
Geodesic Object Proposals. ECCV (5) (2014)
Philipp Krähenbühl, Vladlen Koltun
Parameter Learning and Convergent Inference for Dense Random Fields. ICML (3) (2013)
Philipp Krähenbühl, Vladlen Koltun
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials CoRR (2012)
Philipp Krähenbühl, Vladlen Koltun
Efficient Nonlocal Regularization for Optical Flow. ECCV (1) (2012)
Federico Perazzi, Philipp Krähenbühl, Yael Pritch, Alexander Hornung
Saliency filters: Contrast based filtering for salient region detection. CVPR (2012)
Philipp Krähenbühl, Vladlen Koltun
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials. NIPS (2011)
Sergey Levine, Philipp Krähenbühl, Sebastian Thrun, Vladlen Koltun
Gesture controllers. ACM Trans. Graph. 29 (4) (2010)
Philipp Krähenbühl, Manuel Lang, Alexander Hornung, Markus H. Gross
A system for retargeting of streaming video. ACM Trans. Graph. 28 (5) (2009)