Chenfeng Xu
Assistant Professor
Works on efficient machine learning and ML systems for generative models and robotics, such as fast diffusion and 3D perception.
Chenfeng Xu's lab at UT Austin works on efficient training & inference, generative & foundation models and image & video generation. 45 papers since 2023, 38 at top venues, mostly CVPR and ICCV. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 84%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 3 · collecting
- 17 papers2025 · T1 15
- 14 papers2024 · T1 14
- 8 papers2023 · T1 6
T1 venuesOtherVenues: CVPR, ICCV, ICLR, NeurIPS, CoRL
Research focuspaper titles that use each topic's words
- Image & video generation6 papers
- Efficient training & inference5 papers
- Generative & foundation models1 paper
- fast0 papers
- efficient machine0 papers
Paper list
From DBLP.
20266 papers
- CVPR (T1)CaptionQA: Is Your Caption as Useful as the Image Itself? (opens in a new tab)
- IEEE Internet Things J.Data-Aided Joint Environment Sensing and Decoding for Cooperative Uplink ISAC (opens in a new tab)
- Int. J. Robotics Res.NeRFs in robotics: A survey (opens in a new tab)
- ECCV (T1)QuantV2X: A Fully Quantized Multi-agent System for Cooperative Perception (opens in a new tab)
- ICRA (T1)Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control (opens in a new tab)
- ISPRS Int. J. Geo Inf.Same Streets, Different Contexts: Personality-Based Differences in Cycling Willingness Revealed from Objective and Subjective Perspectives (opens in a new tab)
202517 papers
- ICCV (T1)A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision (opens in a new tab)
- NeurIPS (T1)Angles Don't Lie: Unlocking Training‑Efficient RL Through the Model's Own Signals (opens in a new tab)
- CVPR (T1)Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence (opens in a new tab)
- CVPR (T1)CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians (opens in a new tab)
- IROS (T1)CooPre: Cooperative Pretraining for V2X Cooperative Perception (opens in a new tab)
- CVPR (T1)DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes (opens in a new tab)
- ICLR (T1)Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives (opens in a new tab)
- SpatialDILERI Evaluation and Driving Mechanism Analysis via GWRF Model (opens in a new tab)
- ICLR (T1)Looking Backward: Streaming Video-to-Video Translation with Feature Banks (opens in a new tab)
- IEEE Trans. RoboticsRepresentation of Human arm Dynamic Intents With an Electrical Impedance Tomography (EIT)-Driven Musculoskeletal Model for Human-Robot Interaction (opens in a new tab)
- CVPR (T1)Segment Any Motion in Videos (opens in a new tab)
- ICML (T1)Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity (opens in a new tab)
202414 papers
- CVPR (T1)3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features (opens in a new tab)
- ECCV (T1)CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction (opens in a new tab)
- IROS (T1)DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation (opens in a new tab)
- RSS (T1)Human-oriented Representation Learning for Robotic Manipulation (opens in a new tab)
- NeurIPS (T1)Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment (opens in a new tab)
- RSS (T1)MIRAGE: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting (opens in a new tab)
- ICRA (T1)Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration (opens in a new tab)
- IROS (T1)Pre-training on Synthetic Driving Data for Trajectory Prediction (opens in a new tab)
- CoRL (T1)Q-SLAM: Quadric Representations for Monocular SLAM (opens in a new tab)
- CoRL (T1)RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning (opens in a new tab)
- CoRL (T1)Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning (opens in a new tab)
- ECCV (T1)Sparse Refinement for Efficient High-Resolution Semantic Segmentation (opens in a new tab)
20238 papers
- IEEE Robotics Autom. Lett.ADfM-Net: An Adversarial Depth-From-Motion Network Based on Cross Attention and Motion Enhanced (opens in a new tab)
- ICCV (T1)DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds (opens in a new tab)
- ICCV (T1)NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection (opens in a new tab)
- CVPR (T1)Open-Vocabulary Point-Cloud Object Detection without 3D Annotation (opens in a new tab)
- IEEE Robotics Autom. Lett.Quadric Representations for LiDAR Odometry, Mapping and Localization (opens in a new tab)
- TPAMI (T1)Sparse R-CNN: An End-to-End Framework for Object Detection (opens in a new tab)
- ICCV (T1)SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection (opens in a new tab)
- ICLR (T1)Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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