Philipp Krähenbühl
Associate Professor
Works on computer vision and learning for perception and autonomous driving, including video recognition and end-to-end driving policies.
Philipp Krähenbühl's lab at UT Austin works on recognition, detection & segmentation, video understanding and robot perception & SLAM. 20 papers since 2023, 19 at top venues, mostly ICLR and CVPR. 4 PhD students. 8 alumni, most often to Meta and Google. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 95%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 8 papers2025 · T1 8
- 2 papers2024 · T1 2
- 5 papers2023 · T1 5
T1 venuesOtherVenues: ICLR, CVPR, CoRL, NeurIPS, ICCV
Research focuspaper titles that use each topic's words
- Video understanding4 papers
- Recognition, detection & segmentation2 papers
- driving1 paper
- end-to-end1 paper
- Robot perception & SLAM0 papers
Paper list
From the lab homepage.
20265 papers
- ICLR (T1)Entropy-Preserving Reinforcement Learning (opens in a new tab)
- CVPR (T1)Latent Chain-of-Thought World Modeling for End-to-End Driving (opens in a new tab)
- COLMMask-Aware Policy Gradients for Diffusion Language Models (opens in a new tab)
- CVPR (T1)Spherical Leech Quantization for Visual Tokenization and Generation (opens in a new tab)
- ICLR (T1)Triangle Multiplication Is All You Need For Biomolecular Structure Representations (opens in a new tab)
20258 papers
- ICLR (T1)Cut Your Losses in Large-Vocabulary Language Models (opens in a new tab)
- ICLR (T1)Distilling Structural Representations into Protein Sequence Models (opens in a new tab)
- ICLR (T1)Does Spatial Cognition Emerge in Frontier Models? (opens in a new tab)
- ICLR (T1)Image and Video Tokenization with Binary Spherical Quantization (opens in a new tab)
- ICLR (T1)Language-Image Models with 3D Understanding (opens in a new tab)
- ICCV (T1)Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation (opens in a new tab)
- NeurIPS (T1)PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding (opens in a new tab)
- ICML (T1)Robust Autonomy Emerges from Self-Play (opens in a new tab)
20242 papers
20235 papers
- CoRL (T1)Language Conditioned Traffic Generation (opens in a new tab)
- CVPR (T1)Language-conditioned Detection Transformer (opens in a new tab)
- CVPR (T1)Learning Video Representations from Large Language Models (opens in a new tab)
- CVPR (T1)PartDistillation: Learning Parts from Instance Segmentation (opens in a new tab)
- NeurIPS (T1)Predicting a Protein's Stability under a Million Mutations (opens in a new tab)
Where alumni went8 listed, 67% to industry
Industry 4Academia 2
Most often to
- Meta
- NVIDIA
Also to
- MIT
- Stanford University
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USCMU
Martial Hebert
- Embodied & active vision
- CNTsinghua
Shengjin Wang
- Video understanding
- CNSJTU
Chao Ma
- Recognition, detection & segmentation
- SGNTU
Wanhua Li
- Embodied & active vision
- USMIT
Mina Konakovic Lukovic
- Geometry processing & modeling
- USNYU
Kenneth Perlin
- Physics-based simulation & animation
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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