Masayoshi Tomizuka

51 papers · 2020–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (3) 🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (58) 🧬 Topic Evolution 🤝 Dynamic Duo (31) 👑 Triple Crown 🏆 Keyword Champion (2) 🏆 Grand Slam ⚡ Prolific Year (7) 💎 Century Club (51) 🔥 Unstoppable (6) ❓ The Questioner (2) 🗃️ Keyword Collector (162)

Conferences

CVPR (9) CORL (8) ICCV (8) ICLR (8) ECCV (7) NIPS (6) ICML (2) AAAI (1) AISTATS (1) RSS (1)

Top co-authors

Wei Zhan (31) Chenfeng Xu (26) Kurt Keutzer (17) Mingyu Ding (11) Chen Tang (8) Yichen Xie (7) Chensheng Peng (7) Lingfeng Sun (5) Ping Luo (5) Chenran Li (4)

Keywords

trajectory prediction (6) diffusion model (6) multi-agent system (3) 3d gaussian splatting (3) offline reinforcement learning (3) 3d object detection (3) robotic manipulation (3) graph neural network (2) sparse representation (2) motion estimation (2) autonomous vehicle (2) active learning (2) image generation (2) autonomous driving (2) annotation budget (2) hierarchical planning (1) feature extraction (1) transfer learning (1) variational inference (1) reinforcement learning (1)

Papers

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