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We stand with Ukraine

Wenzhao Zheng

Orcid: 0000-0001-7188-3734

According to our database¹, Wenzhao Zheng authored at least 116 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

AwareVLN: Reasoning with Self-awareness for Vision-Language Navigation.

[DOI]

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CoRR, May, 2026

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation.

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CoRR, May, 2026

SEED: Targeted Data Selection by Weighted Independent Set.

[DOI]

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Shanghang Zhang

CoRR, May, 2026

Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment.

[DOI]

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Denis A. Gudovskiy

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CoRR, May, 2026

BAMI: Training-Free Bias Mitigation in GUI Grounding.

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CoRR, May, 2026

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection.

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CoRR, April, 2026

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale.

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CoRR, April, 2026

Vega: Learning to Drive with Natural Language Instructions.

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CoRR, March, 2026

UniQueR: Unified Query-based Feedforward 3D Reconstruction.

[DOI]

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Masayoshi Tomizuka

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CoRR, March, 2026

DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding.

[DOI]

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CoRR, March, 2026

Measuring 3D Spatial Geometric Consistency in Dynamic Generated Videos.

[DOI]

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CoRR, March, 2026

TwinRL-VLA: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation.

[DOI]

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Shanghang Zhang

CoRR, February, 2026

Moaw: Unleashing Motion Awareness for Video Diffusion Models.

[DOI]

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Zhengyang Huang

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CoRR, January, 2026

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

[DOI]

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IEEE Trans. Image Process., 2026

ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling.

[DOI]

Denis A. Gudovskiy

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Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

DVGT: Driving Visual Geometry Transformer.

[DOI]

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CoRR, December, 2025

SFTok: Bridging the Performance Gap in Discrete Tokenizers.

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CoRR, December, 2025

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning.

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CoRR, December, 2025

SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder.

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CoRR, December, 2025

Astra: General Interactive World Model with Autoregressive Denoising.

[DOI]

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CoRR, December, 2025

Joint 3D Geometry Reconstruction and Motion Generation for 4D Synthesis from a Single Image.

[DOI]

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CoRR, December, 2025

SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead.

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CoRR, December, 2025

RoboArmGS: High-Quality Robotic Arm Splatting via Bézier Curve Refinement.

[DOI]

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Shanghang Zhang

CoRR, November, 2025

Latent Diffusion Model without Variational Autoencoder.

[DOI]

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CoRR, October, 2025

SaLon3R: Structure-aware Long-term Generalizable 3D Reconstruction from Unposed Images.

[DOI]

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CoRR, October, 2025

Terra: Explorable Native 3D World Model with Point Latents.

[DOI]

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CoRR, October, 2025

4D Driving Scene Generation With Stereo Forcing.

[DOI]

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Guangfeng Jiang

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CoRR, September, 2025

StereoCarla: A High-Fidelity Driving Dataset for Generalizable Stereo.

[DOI]

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CoRR, September, 2025

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving.

[DOI]

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CoRR, August, 2025

Streaming 4D Visual Geometry Transformer.

[DOI]

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CoRR, July, 2025

Quantize-then-Rectify: Efficient VQ-VAE Training.

[DOI]

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CoRR, July, 2025

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory.

[DOI]

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CoRR, July, 2025

ODE<sub>t</sub> (ODE<sub>l</sub>): Shortcutting the Time and Length in Diffusion and Flow Models for Faster Sampling.

[DOI]

Denis A. Gudovskiy

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CoRR, June, 2025

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis.

[DOI]

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CoRR, June, 2025

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction.

[DOI]

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CoRR, June, 2025

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos.

[DOI]

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CoRR, June, 2025

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation.

[DOI]

William Ljungbergh

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Bernardo Taveira

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Christoffer Petersson

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Michael Felsberg

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Masayoshi Tomizuka

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CoRR, June, 2025

S2GO: Streaming Sparse Gaussian Occupancy Prediction.

[DOI]

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CoRR, June, 2025

OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View.

[DOI]

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CoRR, June, 2025

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control.

[DOI]

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Shanghang Zhang

CoRR, May, 2025

OmniIndoor3D: Comprehensive Indoor 3D Reconstruction.

[DOI]

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Shanghang Zhang

CoRR, May, 2025

DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers.

[DOI]

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CoRR, March, 2025

SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation.

[DOI]

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Shanghang Zhang

CoRR, January, 2025

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting.

[DOI]

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CoRR, January, 2025

LiDAR-HMR: 3D Human Mesh Recovery From LiDAR.

[DOI]

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IEEE Trans. Multim., 2025

Probabilistic deep metric learning for hyperspectral image classification.

[DOI]

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Pattern Recognit., 2025

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving.

[DOI]

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Masayoshi Tomizuka

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

EmbodiedOcc++: Boosting Embodied 3D Occupancy Prediction with Plane Regularization and Uncertainty Sampler.

[DOI]

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Shanghang Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Pseudo Depth Meets Gaussian: A Feed-forward RGB SLAM Baseline.

[DOI]

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Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation.

[DOI]

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Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Lightstereo: Channel Boost is All You Need for Efficient 2D Cost Aggregation.

[DOI]

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Proceedings of the IEEE International Conference on Robotics and Automation, 2025

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

[DOI]

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Denis A. Gudovskiy

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Shanghang Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

UniDrive: Towards Universal Driving Perception Across Camera Configurations.

[DOI]

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Counterfactually Decoupled Attention for Open-World Model Attribution.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

PlaneRAS: Learning Planar Primitives for 3D Plane Recovery.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

D<sup>3</sup>QE: Learning Discrete Distribution Discrepancy-Aware Quantization Error for Autoregressive-Generated Image Detection.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-Based Online Scene Understanding.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Authentic 4D Driving Simulation with a Video Generation Model.

[DOI]

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Shanghang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SpectralAR: Spectral Autoregressive Visual Generation.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes.

[DOI]

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Masayoshi Tomizuka

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Segment Any Motion in Videos.

[DOI]

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Shanghang Zhang

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Angjoo Kanazawa

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction.

[DOI]

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Amonnut Thammatadatrakoon

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth Completion.

[DOI]

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IEEE Trans. Circuits Syst. Video Technol., April, 2024

Introspective Deep Metric Learning.

[DOI]

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IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection.

[DOI]

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IEEE Trans. Multim., 2024

StructLane: Leveraging Structural Relations for Lane Detection.

[DOI]

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IEEE Trans. Image Process., 2024

Preventing Local Pitfalls in Vector Quantization via Optimal Transport.

[DOI]

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CoRR, 2024

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving.

[DOI]

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Shanghang Zhang

CoRR, 2024

Doe-1: Closed-Loop Autonomous Driving with Large World Model.

[DOI]

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CoRR, 2024

Owl-1: Omni World Model for Consistent Long Video Generation.

[DOI]

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CoRR, 2024

GPD-1: Generative Pre-training for Driving.

[DOI]

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Shanghang Zhang

CoRR, 2024

Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving.

[DOI]

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Masayoshi Tomizuka

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CoRR, 2024

Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model.

[DOI]

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Shanghang Zhang

CoRR, 2024

Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data.

[DOI]

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CoRR, 2024

Training-free Regional Prompting for Diffusion Transformers.

[DOI]

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Shanghang Zhang

CoRR, 2024

PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views.

[DOI]

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Masayoshi Tomizuka

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CoRR, 2024

V2M: Visual 2-Dimensional Mamba for Image Representation Learning.

[DOI]

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CoRR, 2024

GlobalMamba: Global Image Serialization for Vision Mamba.

[DOI]

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CoRR, 2024

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models.

[DOI]

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Shanghang Zhang

CoRR, 2024

LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation.

[DOI]

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CoRR, 2024

Instruct Large Language Models to Drive like Humans.

[DOI]

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CoRR, 2024

S<sup>3</sup>Gaussian: Self-Supervised Street Gaussians for Autonomous Driving.

[DOI]

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Masayoshi Tomizuka

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Shanghang Zhang

CoRR, 2024

GenAD: Generative End-to-End Autonomous Driving.

[DOI]

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CoRR, 2024

Path Choice Matters for Clear Attribution in Path Methods.

[DOI]

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CoRR, 2024

Path Choice Matters for Clear Attributions in Path Methods.

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

GenAD: Generative End-to-End Autonomous Driving.

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving.

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding.

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-Based 3D Semantic Occupancy Prediction.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Metric Learning With Adaptively Composite Dynamic Constraints.

[DOI]

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IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Exploring Unified Perspective For Fast Shapley Value Estimation.

[DOI]

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CoRR, 2023

PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction.

[DOI]

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CoRR, 2023

Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes.

[DOI]

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CoRR, 2023

Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint.

[DOI]

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Token-Label Alignment for Vision Transformers.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions.

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Factorized Metric Learning.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Simple Baseline for Multi-Camera 3D Object Detection.

[DOI]

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

[DOI]

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CoRR, 2022

Dynamic Metric Learning with Cross-Level Concept Distillation.

[DOI]

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Proceedings of the Computer Vision, 2022

Dimension Embeddings for Monocular 3D Object Detection.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Attributable Visual Similarity Learning.

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation.

[DOI]

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Proceedings of the Conference on Robot Learning, 2022

2021

Hardness-Aware Deep Metric Learning.

[DOI]

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IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Relational Metric Learning.

[DOI]

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Compositional Metric Learning.

[DOI]

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Adversarial Metric Learning.

[DOI]

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IEEE Trans. Image Process., 2020

Structural Deep Metric Learning for Room Layout Estimation.

[DOI]

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Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Metric Learning via Adaptive Learnable Assessment.

[DOI]

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Hardness-Aware Deep Metric Learning.

[DOI]

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Adversarial Metric Learning.

[DOI]

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Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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