Philipp Krhenbhl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
7
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Long-Term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation. | Xiuyu Yang, Shuhan Tan, Philipp Krhenbhl |
| 2025 | ICLR | Image and Video Tokenization with Binary Spherical Quantization. | Yue Zhao, Yuanjun Xiong, Philipp Krhenbhl |
| 2025 | ICLR | Language-Image Models with 3D Understanding. | Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krhenbhl, Yan Wang, Marco Pavone |
| 2025 | ICLR | Distilling Structural Representations into Protein Sequence Models. | Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krhenbhl, Adam R. Klivans, Daniel Jesus Diaz |
| 2025 | ICLR | Does Spatial Cognition Emerge in Frontier Models? | Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krhenbhl, Vladlen Koltun |
| 2025 | ICLR | Cut Your Losses in Large-Vocabulary Language Models. | Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krhenbhl |
| 2025 | ICML | Robust Autonomy Emerges from Self-Play. | Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krhenbhl, Vladlen Koltun |
| 2024 | CoRL | Promptable Closed-loop Traffic Simulation. | Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krhenbhl, Marco Pavone |
| 2024 | CVPR | 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 Krhenbhl, Liangzhe Yuan |
| 2024 | CVPR | Language-Conditioned Detection Transformer. | Jang Hyun Cho, Philipp Krhenbhl |
| 2023 | CoRL | Language Conditioned Traffic Generation. | Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krhenbhl |
| 2023 | CVPR | Learning Video Representations from Large Language Models. | Yue Zhao, Ishan Misra, Philipp Krhenbhl, Rohit Girdhar |
| 2023 | CVPR | PartDistillation: Learning Parts from Instance Segmentation. | Jang Hyun Cho, Philipp Krhenbhl, Vignesh Ramanathan |
| 2022 | CVPR | Learning from All Vehicles. | Dian Chen, Philipp Krhenbhl |
| 2022 | CVPR | Cross-view Transformers for real-time Map-view Semantic Segmentation. | Brady Zhou, Philipp Krhenbhl |
| 2022 | CVPR | Simple Multi-dataset Detection. | Xingyi Zhou, Vladlen Koltun, Philipp Krhenbhl |
| 2022 | CVPR | Global Tracking Transformers. | Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krhenbhl |
| 2022 | ECCV | Long-tail Detection with Effective Class-Margins. | Jang Hyun Cho, Philipp Krhenbhl |
| 2022 | ECCV | Real-Time Online Video Detection with Temporal Smoothing Transformers. | Yue Zhao, Philipp Krhenbhl |
| 2022 | ECCV | Detecting Twenty-Thousand Classes Using Image-Level Supervision. | Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krhenbhl, Ishan Misra |
| 2021 | CVPR | Towards Long-Form Video Understanding. | Chao-Yuan Wu, Philipp Krhenbhl |
| 2021 | CVPR | Center-Based 3D Object Detection and Tracking. | Tianwei Yin, Xingyi Zhou, Philipp Krhenbhl |
| 2021 | ICCV | Learning to drive from a world on rails. | Dian Chen, Vladlen Koltun, Philipp Krhenbhl |
| 2021 | ICLR | Memory Optimization for Deep Networks. | Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krhenbhl |
| 2020 | CVPR | A Multigrid Method for Efficiently Training Video Models. | Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krhenbhl |
| 2020 | ECCV | Tracking Objects as Points. | Xingyi Zhou, Vladlen Koltun, Philipp Krhenbhl |
| 2020 | ECCV | Domain Adaptation Through Task Distillation. | Brady Zhou, Nimit Kalra, Philipp Krhenbhl |
| 2019 | CoRL | Learning by Cheating. | Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krhenbhl |
| 2019 | CVPR | Long-Term Feature Banks for Detailed Video Understanding. | Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krhenbhl, Ross B. Girshick |
| 2019 | CVPR | Bottom-Up Object Detection by Grouping Extreme and Center Points. | Xingyi Zhou, Jiacheng Zhuo, Philipp Krhenbhl |
| 2019 | ICCV | Joint Monocular 3D Vehicle Detection and Tracking. | Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krhenbhl, Trevor Darrell, Fisher Yu |
| 2019 | ICLR | Don't let your Discriminator be fooled. | Brady Zhou, Philipp Krhenbhl |
| 2019 | IROS | Monocular Plan View Networks for Autonomous Driving. | Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krhenbhl, Trevor Darrell |
| 2018 | CVPR | Free Supervision From Video Games. | Philipp Krhenbhl |
| 2018 | CVPR | Compressed Video Action Recognition. | Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krhenbhl |
| 2018 | ECCV | Domain Transfer Through Deep Activation Matching. | Haoshuo Huang, Qixing Huang, Philipp Krhenbhl |
| 2018 | ECCV | Video Compression Through Image Interpolation. | Chao-Yuan Wu, Nayan Singhal, Philipp Krhenbhl |
| 2017 | ICCV | Sampling Matters in Deep Embedding Learning. | R. Manmatha, Chao-Yuan Wu, Alexander J. Smola, Philipp Krhenbhl |
| 2017 | ICLR | Adversarial Feature Learning. | Jeff Donahue, Philipp Krhenbhl, Trevor Darrell |
| 2016 | CVPR | Context Encoders: Feature Learning by Inpainting. | Deepak Pathak, Philipp Krhenbhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros |
| 2016 | CVPR | Learning Dense Correspondence via 3D-Guided Cycle Consistency. | Tinghui Zhou, Philipp Krhenbhl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros |
| 2016 | ECCV | Generative Visual Manipulation on the Natural Image Manifold. | Jun-Yan Zhu, Philipp Krhenbhl, Eli Shechtman, Alexei A. Efros |
| 2015 | CVPR | Learning to propose objects. | Philipp Krhenbhl, Vladlen Koltun |
| 2015 | ICCV | Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. | Deepak Pathak, Philipp Krhenbhl, Trevor Darrell |
| 2015 | ICCV | Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition. | Tinghui Zhou, Philipp Krhenbhl, Alexei A. Efros |
| 2015 | ICCV | Learning a Discriminative Model for the Perception of Realism in Composite Images. | Jun-Yan Zhu, Philipp Krhenbhl, Eli Shechtman, Alexei A. Efros |
| 2014 | ECCV | Geodesic Object Proposals. | Philipp Krhenbhl, Vladlen Koltun |
| 2013 | ICML | Parameter Learning and Convergent Inference for Dense Random Fields. | Philipp Krhenbhl, Vladlen Koltun |
| 2012 | CVPR | Saliency filters: Contrast based filtering for salient region detection. | Federico Perazzi, Philipp Krhenbhl, Yael Pritch, Alexander Hornung |
| 2012 | ECCV | Efficient Nonlocal Regularization for Optical Flow. | Philipp Krhenbhl, Vladlen Koltun |