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09/04/2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
The prediction of molecular properties is a crucial task in the field of...
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06/13/2023
Ergonomic-Centric Holography: Optimizing Realism,Immersion, and Comfort for Holographic Display
We introduce ergonomic-centric holography, an algorithmic framework that...
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05/25/2023
Learning Preconditioner for Conjugate Gradient PDE Solvers
Efficient numerical solvers for partial differential equations empower s...
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04/27/2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics
We propose a hybrid neural network (NN) and PDE approach for learning ge...
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02/01/2023
Computational Discovery of Microstructured Composites with Optimal Strength-Toughness Trade-Offs
The conflict between strength and toughness is a fundamental problem in ...
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01/24/2023
HoloHDR: Multi-color Holograms Improve Dynamic Range
Holographic displays generate Three-Dimensional (3D) images by displayin...
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11/08/2022
Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly
Assembly planning is the core of automating product assembly, maintenanc...
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09/22/2022
Fluidic Topology Optimization with an Anisotropic Mixture Model
Fluidic devices are crucial components in many industrial applications i...
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05/11/2022
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
This work considers identifying parameters characterizing a physical sys...
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04/14/2022
An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators
Traditional robotic manipulator design methods require extensive, time-c...
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04/14/2022
Accelerated Policy Learning with Parallel Differentiable Simulation
Deep reinforcement learning can generate complex control policies, but r...
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03/15/2022
Data-Efficient Graph Grammar Learning for Molecular Generation
The problem of molecular generation has received significant attention r...
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01/27/2022
Closed-Loop Control of Direct Ink Writing via Reinforcement Learning
Enabling additive manufacturing to employ a wide range of novel, functio...
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01/24/2022
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Both the design and control of a robot play equally important roles in i...
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10/07/2021
Designing Composites with Target Effective Young's Modulus using Reinforcement Learning
Advancements in additive manufacturing have enabled design and fabricati...
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09/30/2021
Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation
The high dimensionality of soft mechanisms and the complex physics of fl...
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09/09/2021
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Tactile sensing is critical for humans to perform everyday tasks. While ...
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07/15/2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design
The current dominant paradigm for robotic manipulation involves two sepa...
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07/13/2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
We present methods for co-designing rigid robots over control and morpho...
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06/09/2021
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Cloth simulation has wide applications in computer animation, garment de...
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04/13/2021
AutoOED: Automated Optimal Experiment Design Platform
We present AutoOED, an Optimal Experiment Design platform powered with a...
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04/02/2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
The computational design of soft underwater swimmers is challenging beca...
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03/13/2021
PhotoApp: Photorealistic Appearance Editing of Head Portraits
Photorealistic editing of portraits is a challenging task as humans are ...
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01/15/2021
DiffPD: Differentiable Projective Dynamics
We present a novel, fast differentiable simulator for soft-body learning...
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08/24/2020
Monocular Reconstruction of Neural Face Reflectance Fields
The reflectance field of a face describes the reflectance properties res...
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06/29/2020
Efficient Continuous Pareto Exploration in Multi-Task Learning
Tasks in multi-task learning often correlate, conflict, or even compete ...
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10/22/2019
Gaze360: Physically Unconstrained Gaze Estimation in the Wild
Understanding where people are looking is an informative social cue. In ...
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05/23/2019
Speech2Face: Learning the Face Behind a Voice
How much can we infer about a person's looks from the way they speak? In...
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04/11/2019
Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments
This work presents a novel system for simple garment composition and sur...
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02/07/2019
Neural Inverse Knitting: From Images to Manufacturing Instructions
Motivated by the recent potential of mass customization brought by whole...
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10/02/2018
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Physical simulators have been widely used in robot planning and control....
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09/10/2018
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
We introduce a saliency-based distortion layer for convolutional neural ...
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05/15/2018
On Learning Associations of Faces and Voices
In this paper, we study the associations between human faces and voices....
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04/08/2018
Learning-based Video Motion Magnification
Video motion magnification techniques allow us to see small motions prev...
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06/10/2017
Two-Scale Topology Optimization with Microstructures
In this paper we present a novel two-scale framework to optimize the str...
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05/10/2017
Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks
Single-image-based view generation (SIVG) is important for producing 3D ...
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05/09/2017
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
Shot boundary detection (SBD) is an important pre-processing step for vi...
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06/18/2016