Krähenbühl, Philipp

36 publications

ICCV 2025 Long-Term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation Xiuyu Yang, Shuhan Tan, Philipp Krähenbühl

CVPR 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 Krahenbuhl, Liangzhe Yuan

CVPR 2024 Language-Conditioned Detection Transformer Jang Hyun Cho, Philipp Krähenbühl

CVPR 2023 Learning Video Representations from Large Language Models Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar

CVPR 2023 PartDistillation: Learning Parts from Instance Segmentation Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan

CVPR 2022 Cross-View Transformers for Real-Time mAP-View Semantic Segmentation Brady Zhou, Philipp Krähenbühl

ECCV 2022 Detecting Twenty-Thousand Classes Using Image-Level Supervision Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra

CVPR 2022 Global Tracking Transformers Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl

CVPR 2022 Learning from All Vehicles Dian Chen, Philipp Krähenbühl

ECCV 2022 Long-Tail Detection with Effective Class-Margins Jang Hyun Cho, Philipp Krähenbühl

ECCV 2022 Real-Time Online Video Detection with Temporal Smoothing Transformers Yue Zhao, Philipp Krähenbühl

CVPR 2022 Simple Multi-Dataset Detection Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

CVPR 2021 Center-Based 3D Object Detection and Tracking Tianwei Yin, Xingyi Zhou, Philipp Krahenbuhl

ICCV 2021 Learning to Drive from a World on Rails Dian Chen, Vladlen Koltun, Philipp Krähenbühl

NeurIPS 2021 Multimodal Virtual Point 3D Detection Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl

CVPR 2021 Towards Long-Form Video Understanding Chao-Yuan Wu, Philipp Krahenbuhl

ECCV 2020 Domain Adaptation Through Task Distillation Brady Zhou, Nimit Kalra, Philipp Krähenbühl

ECCV 2020 Tracking Objects as Points Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

ICLR 2019 Don't Let Your Discriminator Be Fooled Brady Zhou, Philipp Krähenbühl

CoRL 2019 Learning by Cheating Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

ECCV 2018 Domain Transfer Through Deep Activation Matching Haoshuo Huang, Qixing Huang, Philipp Krahenbuhl

ECCV 2018 Video Compression Through Image Interpolation Chao-Yuan Wu, Nayan Singhal, Philipp Krahenbuhl

ICLR 2017 Adversarial Feature Learning Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

ICCV 2017 Sampling Matters in Deep Embedding Learning Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Philipp Krahenbuhl

CVPR 2016 Context Encoders: Feature Learning by Inpainting Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

ICLR 2016 Data-Dependent Initializations of Convolutional Neural Networks Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

ECCV 2016 Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros

CVPR 2016 Learning Dense Correspondence via 3D-Guided Cycle Consistency Tinghui Zhou, Philipp Krahenbuhl, Mathieu Aubry, Qixing Huang, Alexei A. Efros

ICCV 2015 Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak, Philipp Krahenbuhl, Trevor Darrell

ICCV 2015 Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition Tinghui Zhou, Philipp Krahenbuhl, Alexei A. Efros

ICCV 2015 Learning a Discriminative Model for the Perception of Realism in Composite Images Jun-Yan Zhu, Philipp Krahenbuhl, Eli Shechtman, Alexei A. Efros

CVPR 2015 Learning to Propose Objects Philipp Krahenbuhl, Vladlen Koltun

ECCV 2014 Geodesic Object Proposals Philipp Krähenbühl, Vladlen Koltun

ECCV 2012 Efficient Nonlocal Regularization for Optical Flow Philipp Krähenbühl, Vladlen Koltun

CVPR 2012 Saliency Filters: Contrast Based Filtering for Salient Region Detection Federico Perazzi, Philipp Krähenbühl, Yael Pritch, Alexander Hornung

NeurIPS 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krähenbühl, Vladlen Koltun