Faculty

Institution

Unit

Venue

Ming C. Lin

John R & Louise S Parker Distinguished Professor Emerita

University of North Carolina at Chapel Hill

Affiliations

College of Arts and Sciences

Computer Science

Ming C. Lin is currently serving as a College Of Arts And Sciences John R & Louise S Parker Distinguished Professor Emerita at University of North Carolina At Chapel Hill.

Honors

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Experiences

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Education

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Ming C. Lin

University of North Carolina at Chapel Hill

John R & Louise S Parker Distinguished Professor Emerita

You can click a keyword to filter the displayed items

computer science computer vision machine learning systems engineering modeling and simulation applied mathematics robotics virtual reality visualization haptic technologies computer animation applied physics computer graphics collision detection human-computer interaction graphics immersive technologies geometric modeling crowd simulation path planning computational visualization sound propagation acoustical engineering virtual environments visual computing information visualization machine vision numerical simulations sound synthesis traffic simulation motion synthesis computer-aided design hearing research deformable models haptic rendering visualization (graphics) expressive rendering 3d computer vision graphics hardware proximity queries complex environments automatic control object manipulation large-scale simulations intelligent robotics realistic rendering haptic feedback autonomous driving traffic management haptic interaction graphic interface cognitive robotics crowd behavior distributed robotics computer-generated imagery hardware acceleration motion control computer-aided engineering character animation transportation planning interactive collision detection interactive navigation real-time path planning polygonal models constraint-based motion planning human robot interaction physical prototyping social simulation scientific computing surgical education computational intelligence intelligent robotic systems hair modeling hair simulation geometric proximity queries continuous collision detection design physically based animation

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

DMESH: A Differentiable Representation for General Meshes. arXiv (Cornell University) (2024)

Son, SanghyunGadelha, MatheusZhou, YangXu, ZexiangLin, Ming C.Zhou, Yi

machine learningcomputer sciencedifferentiable representationgeneral meshes

Dmesh++: An Efficient Differentiable Mesh for Complex Shapes. arXiv (Cornell University) (2024)

Son, SanghyunGadelha, MatheusZhou, YangFisher, MatthewXu, ZexiangQiao, Yi-LingLin, Ming C.Zhou, Yi

numerical simulationscomputer sciencecomplex shapesmesh optimizationefficient differentiable meshgeometry processingunstructured mesh generationgeometric modelinggeometrycomputational geometry

Gradient-Based Trajectory Optimization With Parallelized Differentiable Traffic Simulation. arXiv (Cornell University) (2024)

Son, SanghyunZheng, LauraClipp, BrianGreenwell, ConnorPhilip, SujinLin, Ming C.

traffic simulationnumerical simulationscontrol optimizationtrajectory optimizationgradient-based trajectory optimizationtraffic predictiontraffic modelscomputational optimizationtraffic theoryapplied mathematicsmodeling and simulationmathematical optimization

HANDYPRIORS: Physically Consistent Perception of Hand-Object Interactions With Differentiable Priors. (2024)

Shutong ZhangYi-Ling QiaoGuanglei ZhuEric HeidenDylan TurpinJingzhou LiuMing LinMiles MacklinAnimesh Garg

consistent perceptionvisual perceptiondifferentiable priorscognitive sciencehand-object interactionspsychology

ICAR: Image-Based Complementary Auto Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Xijun WangAnqi LiangJunbang LiangMing LinYu LouShan Yang

computer sciencemachine learningcomputer visionimage analysisknowledge representation and reasoningartificial intelligenceautomated reasoningmodel-based reasoningimage-based complementary auto

Message From the Best Paper Award Committee. Computational Visual Media (2024)

Ming C. LinBaoquan ChenYing HeWenping WangKun ZhouRalph Martin

visual artscommunicationcomputer visioncomputational visualizationvisual communicationvisualizationjournalism

MTG: Mapless Trajectory Generator With Traversability Coverage for Outdoor Navigation. arXiv (Cornell University) (2024)

Jing LiangPeng GaoXuesu XiaoAdarsh Jagan SathyamoorthyMohamed ElnoorMing C. LinDinesh Manocha

traversability coveragemapless trajectory generatorengineeringtrajectory optimizationmachine learningautomatic navigationoutdoor navigationroboticssystems engineeringcomputer visionnavigationaerospace engineering

Prompt Mixing in Diffusion Models Using the Black Scholes Algorithm. arXiv (Cornell University) (2024)

Kothandaraman, DivyaLin, MingManocha, Dinesh

machine learningdiffusion modelsprompt mixingapplied mathematics

Task-Driven Domain-Agnostic Learning With Information Bottleneck for Autonomous Steering. (2024)

Yu ShenLaura ZhengTianyi ZhouMing C. Lin

machine learningtask-driven domain-agnostic learningcomputer scienceinformation bottleneck

TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience Rare-Event Simulation for Enhanced Safety. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Sandeep ThalapananeSandip Sharan Senthil KumarGuru Nandhan Appiya Dilipkumar PeethambariSourang SriHariLaura ZhengJulio PovedaMing C. Lin

vehicular technologyrare-event simulationdiscrete-event simulationtransportation engineeringsystems engineeringenhanced safetymobility

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Ming C. Lin

John R & Louise S Parker Distinguished Professor Emerita

University of North Carolina at Chapel Hill

Affiliations

College of Arts and Sciences

Computer Science

Ming C. Lin is currently serving as a College Of Arts And Sciences John R & Louise S Parker Distinguished Professor Emerita at University of North Carolina At Chapel Hill.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ming C. Lin

University of North Carolina at Chapel Hill

John R & Louise S Parker Distinguished Professor Emerita

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

DMESH: A Differentiable Representation for General Meshes. arXiv (Cornell University) (2024)

Son, SanghyunGadelha, MatheusZhou, YangXu, ZexiangLin, Ming C.Zhou, Yi

machine learningcomputer sciencedifferentiable representationgeneral meshes

Dmesh++: An Efficient Differentiable Mesh for Complex Shapes. arXiv (Cornell University) (2024)

Son, SanghyunGadelha, MatheusZhou, YangFisher, MatthewXu, ZexiangQiao, Yi-LingLin, Ming C.Zhou, Yi

numerical simulationscomputer sciencecomplex shapesmesh optimizationefficient differentiable meshgeometry processingunstructured mesh generationgeometric modelinggeometrycomputational geometry

Gradient-Based Trajectory Optimization With Parallelized Differentiable Traffic Simulation. arXiv (Cornell University) (2024)

Son, SanghyunZheng, LauraClipp, BrianGreenwell, ConnorPhilip, SujinLin, Ming C.

HANDYPRIORS: Physically Consistent Perception of Hand-Object Interactions With Differentiable Priors. (2024)

Shutong ZhangYi-Ling QiaoGuanglei ZhuEric HeidenDylan TurpinJingzhou LiuMing LinMiles MacklinAnimesh Garg

consistent perceptionvisual perceptiondifferentiable priorscognitive sciencehand-object interactionspsychology

ICAR: Image-Based Complementary Auto Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Xijun WangAnqi LiangJunbang LiangMing LinYu LouShan Yang

computer sciencemachine learningcomputer visionimage analysisknowledge representation and reasoningartificial intelligenceautomated reasoningmodel-based reasoningimage-based complementary auto

Message From the Best Paper Award Committee. Computational Visual Media (2024)

Ming C. LinBaoquan ChenYing HeWenping WangKun ZhouRalph Martin

visual artscommunicationcomputer visioncomputational visualizationvisual communicationvisualizationjournalism

MTG: Mapless Trajectory Generator With Traversability Coverage for Outdoor Navigation. arXiv (Cornell University) (2024)

Jing LiangPeng GaoXuesu XiaoAdarsh Jagan SathyamoorthyMohamed ElnoorMing C. LinDinesh Manocha

Prompt Mixing in Diffusion Models Using the Black Scholes Algorithm. arXiv (Cornell University) (2024)

Kothandaraman, DivyaLin, MingManocha, Dinesh

machine learningdiffusion modelsprompt mixingapplied mathematics

Task-Driven Domain-Agnostic Learning With Information Bottleneck for Autonomous Steering. (2024)

Yu ShenLaura ZhengTianyi ZhouMing C. Lin

machine learningtask-driven domain-agnostic learningcomputer scienceinformation bottleneck

TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience Rare-Event Simulation for Enhanced Safety. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Sandeep ThalapananeSandip Sharan Senthil KumarGuru Nandhan Appiya Dilipkumar PeethambariSourang SriHariLaura ZhengJulio PovedaMing C. Lin

vehicular technologyrare-event simulationdiscrete-event simulationtransportation engineeringsystems engineeringenhanced safetymobility

1
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5
37
10 / page

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