World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
91
Citations
33993
World Ranking
581
National Ranking
309

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to real-time physics-based interaction and simulation for virtual environments, robotics and haptics
  • 2011 - ACM Fellow For contributions to geometric modeling and computer graphics.

Overview

Ming C. Lin is affiliated with the University of Maryland, College Park in the United States. Their research spans the fields of computer science and engineering, with notable contributions to subfields such as computer vision and pattern recognition, artificial intelligence, signal processing, computer graphics and computer-aided design, and control and systems engineering.

The scientist's work covers a range of topics including human pose and action recognition, advanced vision and imaging, computer graphics and visualization techniques, autonomous vehicle technology and safety, speech and audio processing, advanced image and video retrieval techniques, and model reduction and neural networks.

Frequent co-authors collaborating with Ming C. Lin include Dinesh Manocha, Junbang Liang, Yi-Ling Qiao, Sanghyun Son, and Laura Zheng.

Some of the recent papers authored or co-authored by Ming C. Lin are:

  • Scalable Differentiable Physics for Learning and Control, 2020, arXiv (Cornell University)
  • A hybrid approach for simulating human motion in constrained environments, 2021, Computer Animation and Virtual Worlds
  • Differentiable Fluids with Solid Coupling for Learning and Control, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Differentiable Hybrid Traffic Simulation, 2022, ACM Transactions on Graphics
  • Machine learning for digital try-on: Challenges and progress, 2020, Computational Visual Media

Ming C. Lin's frequent publication venues include arXiv (Cornell University), Computational Visual Media, UNC Libraries, Proceedings of the AAAI Conference on Artificial Intelligence, and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In addition to journal and conference papers, they have contributed to book publications such as Algorithmic Foundations of Robotics XIV, published by Springer International Publishing in 2021.

The scientist has been recognized as an IEEE Fellow in 2012 for contributions to real-time physics-based interaction and simulation for virtual environments, robotics, and haptics. They were also awarded the ACM Fellow status in 2011 for contributions to geometric modeling and computer graphics.

Best Publications

  • OBBTree: a hierarchical structure for rapid interference detection

    S. Gottschalk;M. C. Lin;D. Manocha

  • Reciprocal n-Body Collision Avoidance

    Jur van den Berg;Stephen J. Guy;Ming C. Lin;Dinesh Manocha

  • Reciprocal Velocity Obstacles for real-time multi-agent navigation

    J. van den Berg;Ming Lin;D. Manocha

  • I-COLLIDE: an interactive and exact collision detection system for large-scale environments

    Jonathan D. Cohen;Ming C. Lin;Dinesh Manocha;Madhav Ponamgi

  • Fast computation of generalized Voronoi diagrams using graphics hardware

    Kenneth E. Hoff;John Keyser;Ming Lin;Dinesh Manocha

  • Fast computation of database operations using graphics processors

    Naga K. Govindaraju;Brandon Lloyd;Wei Wang;Ming Lin

  • A fast algorithm for incremental distance calculation

    M.C. Lin;J.F. Canny

  • CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

    Naga K. Govindaraju;Stephane Redon;Ming C. Lin;Dinesh Manocha

  • Aggregate dynamics for dense crowd simulation

    Rahul Narain;Abhinav Golas;Sean Curtis;Ming C. Lin

  • Example-guided physically based modal sound synthesis

    Zhimin Ren;Hengchin Yeh;Ming C. Lin

  • Efficient collision detection for animation and robotics

    Ming Chieh Lin;John F. Canny

  • Accurate and Fast Proximity Queries Between Polyhedra Using Convex Surface Decomposition

    Stephen A. Ehmann;Ming C. Lin

  • ClearPath: highly parallel collision avoidance for multi-agent simulation

    Stephen. J. Guy;Jatin Chhugani;Changkyu Kim;Nadathur Satish

  • DAB: interactive haptic painting with 3D virtual brushes

    Bill Baxter;Vincent Scheib;Ming C. Lin;Dinesh Manocha

  • Fast distance queries with rectangular swept sphere volumes

    E. Larsen;S. Gottschalk;M.C. Lin;D. Manocha

  • A Survey on Hair Modeling: Styling, Simulation, and Rendering

    K. Ward;F. Bertails;Tae-Yong Kim;S.R. Marschner

  • PLEdestrians: a least-effort approach to crowd simulation

    Stephen J. Guy;Jatin Chhugani;Sean Curtis;Pradeep Dubey

  • Real-time navigation of independent agents using adaptive roadmaps

    Avneesh Sud;Russell Gayle;Erik Andersen;Stephen Guy

  • V-COLLIDE: accelerated collision detection for VRML

    Thomas C. Hudson;Ming C. Lin;Jonathan Cohen;Stefan Gottschalk

  • applied-computational-geometry-towards-geometric-engineering

    Ming C. Lin;Dinesh Manocha

  • Fast computation of generalized Voronoi diagrams using graphics hardware

    Kenneth E. Hoff;Tim Culver;John Keyser;Ming Lin

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Miguel A. Otaduy
Miguel A. Otaduy King Juan Carlos University
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Jur van den Berg
Jur van den Berg University of Utah
Shi-Min Hu
Shi-Min Hu Tsinghua University
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Markus Gross
Markus Gross ETH Zurich
Roberta L. Klatzky
Roberta L. Klatzky Carnegie Mellon University
John Canny
John Canny University of California, Berkeley
Julien Pettré
Julien Pettré French Institute for Research in Computer Science and Automation - INRIA

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