conftrace_
← Authors

Wojciech Matusik

41 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (15) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8)
πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer πŸƒ Academic Marathon (9) πŸ‘‘ Triple Crown πŸ† Keyword Champion (5) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (130) πŸ’Ž Century Club (41)

Conferences

ICML (12) ICLR (8) NIPS (7) CVPR (6) ECCV (3) CORL (2) ICCV (2) RSS (1)

Top co-authors

Pingchuan Ma (9) Jie Chen (8) Tao Du (7) Minghao Guo (7) Yunsheng Tian (6) Antonio Torralba (6) Jie Xu (6) Joshua B. Tenenbaum (5) Michael Sun (5) Petr Kellnhofer (5)

Keywords

differentiable simulation (5) graph neural network (3) robot control (2) evolutionary algorithm (2) multimodal learning (2) self-supervised learning (2) multi-objective optimization (2) partial differential equation (2) soft robot (2) gaze estimation (2) robotic manipulation (1) gradient-based optimization (1) data augmentation (1) speech recognition (1) sim-to-real transfer (1) zero-shot learning (1) human activity recognition (1) sensor fusion (1) matrix factorization (1) feature learning (1)

Papers

VLMaterial: Procedural Material Generation with Large Vision-Language Models ICLR 2025 TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes ICLR 2025 Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning ICLR 2025 Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning CORL 2025 Directed Graph Grammars for Sequence-based Learning ICML 2025 Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages ICML 2025 Procedural Synthesis of Synthesizable Molecules ICLR 2025 Physically Compatible 3D Object Modeling from a Single Image NIPS 2024 Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints ICML 2024 Learning to Jointly Understand Visual and Tactile Signals ICLR 2024 DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation CVPR 2024 Representing Molecules as Random Walks Over Interpretable Grammars ICML 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ICML 2024 MeMo: Meaningful, Modular Controllers via Noise Injection NIPS 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NIPS 2024 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023 Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction ICML 2023 RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation ICLR 2022 ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment NIPS 2022 JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints CVPR 2022 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models ICML 2022 Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022 Efficient Tactile Simulation with Differentiability for Robotic Manipulation CORL 2022 Data-Efficient Graph Grammar Learning for Molecular Generation ICLR 2022 An End-to-End Differentiable Framework for Contact-Aware Robot Design RSS 2021 Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots NIPS 2021 Monocular Reconstruction of Neural Face Reflectance Fields CVPR 2021 Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals CVPR 2021 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Efficient Continuous Pareto Exploration in Multi-Task Learning ICML 2020 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NIPS 2020 Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NIPS 2019 Neural Inverse Knitting: From Images to Manufacturing Instructions ICML 2019 Gaze360: Physically Unconstrained Gaze Estimation in the Wild ICCV 2019 Speech2Face: Learning the Face Behind a Voice CVPR 2019 A Dataset of Flash and Ambient Illumination Pairs from the Crowd ECCV 2018 Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks ECCV 2018 Learning-based Video Motion Magnification ECCV 2018 Video Reflection Removal Through Spatio-Temporal Optimization ICCV 2017 Eye Tracking for Everyone CVPR 2016