Masayoshi Tomizuka

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ICLR 2025 Bisimulation Metric for Model Predictive Control ICLR 2025 Looking Backward: Streaming Video-to-Video Translation with Feature Banks ICLR 2025 Residual-MPPI: Online Policy Customization for Continuous Control ICLR 2025 StreamDiffusion: A Pipeline-level Solution for Real-Time Interactive Generation ICCV 2025 WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving ICML 2025 LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation ICCV 2025 DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes CVPR 2025 CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians CVPR 2025 Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence CVPR 2025 DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation CVPR 2025 A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision ICCV 2025 X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios ICLR 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CORL 2025 Q-SLAM: Quadric Representations for Monocular SLAM CORL 2024 Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation ECCV 2024 Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries ECCV 2024 Human-oriented Representation Learning for Robotic Manipulation RSS 2024 RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning CORL 2024 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning CORL 2024 What Matters to You? Towards Visual Representation Alignment for Robot Learning ICLR 2024 Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024 Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NIPS 2024 UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling ICLR 2024 SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution CVPR 2024 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 Towards Free Data Selection with General-Purpose Models NIPS 2023 Residual Q-Learning: Offline and Online Policy Customization without Value NIPS 2023 Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering CORL 2023 Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning CORL 2023 Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation CVPR 2023 NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection ICCV 2023 SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection ICCV 2023 DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds ICCV 2023 Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection ICLR 2023 AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners ICML 2023 Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation CVPR 2022 Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models ECCV 2022 What Matters for 3D Scene Flow Network ECCV 2022 DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection ECCV 2022 PaCo: Parameter-Compositional Multi-task Reinforcement Learning NIPS 2022 PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map ECCV 2022 Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views CORL 2021 Dealing with the Unknown: Pessimistic Offline Reinforcement Learning CORL 2021 Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling NIPS 2021 Sparse R-CNN: End-to-End Object Detection With Learnable Proposals CVPR 2021 Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021 RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting ICCV 2021 Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021 EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning NIPS 2020 SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation ECCV 2020