Manmohan Chandraker
Professor
Works on 3D computer vision, including reconstruction, scene understanding and graphics-based vision for autonomous driving.
Manmohan Chandraker's lab at UCSD works on 3D vision & neural rendering, recognition, detection & segmentation and autonomous vehicles & drones. 32 papers since 2023, 29 at top venues, mostly CVPR and ICCV. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 91%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 7 · collecting
- 5 papers2025 · T1 5
- 9 papers2024 · T1 9
- 10 papers2023 · T1 8
T1 venuesOtherVenues: CVPR, ICCV, ECCV, NeurIPS, 3DV
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering8 papers
- Autonomous vehicles & drones2 papers
- Recognition, detection & segmentation1 paper
- autonomous driving1 paper
- scene understanding0 papers
Paper list
From the lab homepage.
20268 papers
- 3DVINTERIORAGENT: LLM Agent for Interior Design-Aware 3D Layout Generation
- ECCV (T1)LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents
- NeurIPS (T1)Mental Models for Multi-Agent Systems
- CVPR (T1)NERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Code
- CVPR (T1)PhyCo: Learning Controllable Physical Priors for Generative Motion
- ECCV (T1)Reflecting Process Expertise in Procedural Material Generation
- ECCV (T1)RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures
- NeurIPS (T1)SplatLab: Autonomous Scientific Discovery for 3DGS Research
20255 papers
- ICCV (T1)AutoScape: Geometry-Consistent Long-Horizon Scene Generation
- ICCV (T1)DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning
- NeurIPS (T1)iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
- ICCV (T1)LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
- CVPR (T1)Locally Orderless Images for Optimization in Differentiable Rendering
20249 papers
- CVPR (T1)AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
- CVPR (T1)LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
- ICRA (T1)Long-HOT: A Hierarchical Approach for Long-Horizon Object Transport
- ECCV (T1)SAFE-SIM: Safety-Critical Simulation with Diffusion-Controllable Adversaries
- CVPR (T1)Self-Training Large Language Models for Improved Visual Program Synthesis
- ICML (T1)Tell, Don't Show! Language Guidance for Visual Transfer across Domains
- CVPR (T1)TextureDreamer: Image-Guided Synthesis through Geometry-Aware Diffusion
- ECCV (T1)UDABench: A Standardized Framework for Unsupervised Domain Adaptation
- CVPR (T1)What You See Is What You GAN: Rendering Every Pixel for High-Fidelity 3D GANs
202310 papers
- —A general Monte Carlo volume rendering algorithm to accelerate any NeRF representation using importance sampling based on ray density distributions
- ICCV (T1)A Theory of Topological Derivatives for Inverse Rendering of Geometry
- NeurIPS (T1)Exploring Question Decomposition for Zero-Shot VQA
- ICCV (T1)Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
- WACVFLAVR: Flow-Agnostic Video Representation for Fast Frame Interpolation
- CVPR (T1)GeoNet: Benchmarking Unsupervised Adaptation across Geographies
- CVPR (T1)NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
- ICCV (T1)Q: How to Specialize Large VLMs to Data-Scarce VQA? A: Train on Unlabeled Images!
- SIGGRAPH (T1)Real-Time Radiance Fields for Single-Image Portrait View Synthesis
- TOG (T1)Spatiotemporally Consistent HDR Indoor Lighting Estimation
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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