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Ming C. Lin
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- affiliation: University of Maryland at College Park, MD, USA
- affiliation: Amazon, USA
- affiliation (former): University of North Carolina at Chapel Hill, USA
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2020 – today
- 2024
- [j148]Ming C. Lin, Baoquan Chen, Ying He, Wenping Wang, Kun Zhou, Ralph Martin:
Message from the Best Paper Award Committee. Comput. Vis. Media 10(3): 397 (2024) - [c223]Xijun Wang, Anqi Liang, Junbang Liang, Ming C. Lin, Yu Lou, Shan Yang:
ICAR: Image-Based Complementary Auto Reasoning. AAAI 2024: 5633-5641 - [c222]Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, Hsueh-Ti Derek Liu:
An Intrinsic Vector Heat Network. ICML 2024 - [c221]Jing Liang, Peng Gao, Xuesu Xiao, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Ming C. Lin, Dinesh Manocha:
MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation. ICRA 2024: 2396-2402 - [c220]Peng Gao, Yu Shen, Ming C. Lin:
Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy. ICRA 2024: 4983-4989 - [c219]Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin:
Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering. ICRA 2024: 6858-6865 - [c218]Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg:
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. ICRA 2024: 13983-13990 - [i48]Shreelekha Revankar, Shijia Liao, Yu Shen, Junbang Liang, Huaishu Peng, Ming C. Lin:
SHARE: Single-view Human Adversarial REconstruction. CoRR abs/2401.00343 (2024) - [i47]Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou:
DMesh: A Differentiable Representation for General Meshes. CoRR abs/2404.13445 (2024) - [i46]Divya Kothandaraman, Ming C. Lin, Dinesh Manocha:
Prompt Mixing in Diffusion Models using the Black Scholes Algorithm. CoRR abs/2405.13685 (2024) - [i45]Laura Y. Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming C. Lin:
Sensitivity-Informed Augmentation for Robust Segmentation. CoRR abs/2406.01425 (2024) - [i44]Laura Yu Zheng, Sanghyun Son, Jing Liang, Xijun Wang, Brian Clipp, Ming C. Lin:
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic. CoRR abs/2406.01431 (2024) - [i43]Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, Hsueh-Ti Derek Liu:
An Intrinsic Vector Heat Network. CoRR abs/2406.09648 (2024) - [i42]Sandeep Thalapanane, Sandip Sharan Senthil Kumar, Guru Nandhan Appiya Dilipkumar Peethambari, Sourang SriHari, Laura Zheng, Julio Poveda, Ming C. Lin:
TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced safety. CoRR abs/2407.09466 (2024) - [i41]Taewon Kang, Divya Kothandaraman, Dinesh Manocha, Ming C. Lin:
Novel View Synthesis from a Single Image with Pretrained Diffusion Guidance. CoRR abs/2408.06157 (2024) - 2023
- [j147]Ming C. Lin, Wenping Wang, Kun Zhou:
Message from the Best Paper Award Committee. Comput. Vis. Media 9(3): 405 (2023) - [j146]Jingjin Yu, Ming C. Lin:
Selected papers from WAFR2020. Int. J. Robotics Res. 42(6): 315-316 (2023) - [c217]Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin:
Dynamic Mesh-Aware Radiance Fields. ICCV 2023: 385-396 - [c216]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR 2023 - [c215]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. ICLR 2023 - [c214]Yu Shen, Xijun Wang, Peng Gao, Ming C. Lin:
Auxiliary Modality Learning with Generalized Curriculum Distillation. ICML 2023: 31057-31076 - [c213]Laura Y. Zheng, Sanghyun Son, Ming C. Lin:
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation. ICRA 2023: 3517-3523 - [c212]Yu Shen, Luyu Yang, Xijun Wang, Ming C. Lin:
Small-shot Multi-modal Distillation for Vision-based Autonomous Steering. ICRA 2023: 7763-7770 - [c211]Divya Kothandaraman, Ming C. Lin, Dinesh Manocha:
DifFAR: Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition. ICRA 2023: 8254-8261 - [c210]Niall L. Williams, Nicholas Rewkowski, Jiasheng Li, Ming C. Lin:
A Framework for Active Haptic Guidance Using Robotic Haptic Proxies. ICRA 2023: 12478-12485 - [c209]Peng Gao, Jing Liang, Yu Shen, Sanghyun Son, Ming C. Lin:
Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception. IROS 2023: 11079-11086 - [c208]Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin:
Gradient Informed Proximal Policy Optimization. NeurIPS 2023 - [c207]Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha:
Aerial Diffusion: Text Guided Ground-to-Aerial View Synthesis from a Single Image using Diffusion Models. SIGGRAPH Asia Technical Communications 2023: 11:1-11:4 - [e8]June Kim, Ming C. Lin, Bernd Bickel:
SIGGRAPH Asia 2023 Conference Papers, SA 2023, Sydney, NSW, Australia, December 12-15, 2023. ACM 2023 [contents] - [i40]Niall L. Williams, Jiasheng Li, Ming C. Lin:
A Framework for Active Haptic Guidance Using Robotic Haptic Proxies. CoRR abs/2301.05311 (2023) - [i39]Jing Liang, Sanghyun Son, Ming C. Lin, Dinesh Manocha:
GeoLCR: Attention-based Geometric Loop Closure and Registration. CoRR abs/2302.13509 (2023) - [i38]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. CoRR abs/2303.02693 (2023) - [i37]Laura Y. Zheng, Julio Poveda, James Mullen, Shreelekha Revankar, Ming C. Lin:
Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality. CoRR abs/2303.04901 (2023) - [i36]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR abs/2303.05512 (2023) - [i35]Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha:
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models. CoRR abs/2303.11444 (2023) - [i34]Xijun Wang, Anqi Liang, Junbang Liang, Ming C. Lin, Yu Lou, Shan Yang:
ICAR: Image-based Complementary Auto Reasoning. CoRR abs/2308.09119 (2023) - [i33]Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin:
Dynamic Mesh-Aware Radiance Fields. CoRR abs/2309.04581 (2023) - [i32]Jing Liang, Peng Gao, Xuesu Xiao, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Ming C. Lin, Dinesh Manocha:
MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation. CoRR abs/2309.08214 (2023) - [i31]Peng Gao, Yu Shen, Ming C. Lin:
Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy. CoRR abs/2310.20491 (2023) - [i30]Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha:
AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image. CoRR abs/2311.15478 (2023) - [i29]Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg:
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. CoRR abs/2311.16552 (2023) - [i28]Xijun Wang, Junbang Liang, Chun-Kai Wang, Kenan Deng, Yu Lou, Ming C. Lin, Shan Yang:
VLAP: Efficient Video-Language Alignment via Frame Prompting and Distilling for Video Question Answering. CoRR abs/2312.08367 (2023) - [i27]Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin:
Gradient Informed Proximal Policy Optimization. CoRR abs/2312.08710 (2023) - 2022
- [j145]Ming C. Lin, Xin Tong, Wenping Wang:
Message from the Best Paper Award Committee. Comput. Vis. Media 8(3): 329 (2022) - [j144]Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin:
Differentiable Hybrid Traffic Simulation. ACM Trans. Graph. 41(6): 258:1-258:10 (2022) - [c206]Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala:
Human Body Measurement Estimation with Adversarial Augmentation. 3DV 2022: 219-230 - [c205]Divya Kothandaraman, Tianrui Guan, Xijun Wang, Shuowen Hu, Ming C. Lin, Dinesh Manocha:
FAR: Fourier Aerial Video Recognition. ECCV (37) 2022: 657-676 - [c204]Junbang Liang, Ming C. Lin:
Fabric Material Recovery from Video Using Multi-scale Geometric Auto-Encoder. ECCV (37) 2022: 695-714 - [c203]Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming C. Lin, Hao Li:
GiraffeDet: A Heavy-Neck Paradigm for Object Detection. ICLR 2022 - [c202]Yu Shen, Weizi Li, Ming C. Lin:
Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering. IROS 2022: 7421-7428 - [c201]Justin Wilson, Nicholas Rewkowski, Ming C. Lin:
Audio-Visual Depth and Material Estimation for Robot Navigation. IROS 2022: 9239-9246 - [c200]Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu:
Differentiable Analog Quantum Computing for Optimization and Control. NeurIPS 2022 - [c199]Yi-Ling Qiao, Alexander Gao, Ming C. Lin:
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. NeurIPS 2022 - [c198]Zhenhong Sun, Ce Ge, Junyan Wang, Ming C. Lin, Hesen Chen, Hao Li, Xiuyu Sun:
Entropy-Driven Mixed-Precision Quantization for Deep Network Design. NeurIPS 2022 - [i26]Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming C. Lin, Hao Li:
GiraffeDet: A Heavy-Neck Paradigm for Object Detection. CoRR abs/2202.04256 (2022) - [i25]Divya Kothandaraman, Tianrui Guan, Xijun Wang, Sean Hu, Ming C. Lin, Dinesh Manocha:
Fourier Disentangled Space-Time Attention for Aerial Video Recognition. CoRR abs/2203.10694 (2022) - [i24]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Differentiable Simulation of Soft Multi-body Systems. CoRR abs/2205.01758 (2022) - [i23]Divya Kothandaraman, Ming C. Lin, Dinesh Manocha:
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition. CoRR abs/2209.09194 (2022) - [i22]Sanghyun Son, Jing Liang, Ming C. Lin, Dinesh Manocha:
WGICP: Differentiable Weighted GICP-Based Lidar Odometry. CoRR abs/2209.09777 (2022) - [i21]Laura Y. Zheng, Sanghyun Son, Ming C. Lin:
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation. CoRR abs/2210.03772 (2022) - [i20]Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala:
Human Body Measurement Estimation with Adversarial Augmentation. CoRR abs/2210.05667 (2022) - [i19]Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin:
Differentiable Hybrid Traffic Simulation. CoRR abs/2210.08046 (2022) - [i18]Yi-Ling Qiao, Alexander Gao, Ming C. Lin:
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. CoRR abs/2210.12352 (2022) - [i17]Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu:
Differentiable Analog Quantum Computing for Optimization and Control. CoRR abs/2210.15812 (2022) - 2021
- [j143]Junbang Liang, Ming C. Lin:
Machine learning for digital try-on: Challenges and progress. Comput. Vis. Media 7(2): 159-167 (2021) - [c197]Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin:
Differentiable Fluids with Solid Coupling for Learning and Control. AAAI 2021: 6138-6146 - [c196]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. ICML 2021: 8661-8671 - [c195]Shivang Patel, Senthil Hariharan Arul, Pranav Dhulipala, Ming C. Lin, Dinesh Manocha, Huan Xu, Michael W. Otte:
Multi-Agent Ergodic Coverage in Urban Environments. ICRA 2021: 8764-8771 - [c194]Manli Shu, Yu Shen, Ming C. Lin, Tom Goldstein:
Adversarial Differentiable Data Augmentation for Autonomous Systems. ICRA 2021: 14069-14075 - [c193]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Differentiable Simulation of Soft Multi-body Systems. NeurIPS 2021: 17123-17135 - [c192]Yu Shen, Laura Y. Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin:
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering. NeurIPS 2021: 26250-26263 - [i16]Yu Shen, Laura Y. Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin:
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images. CoRR abs/2102.13262 (2021) - [i15]Shivam Akhauri, Laura Y. Zheng, Tom Goldstein, Ming C. Lin:
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving. CoRR abs/2103.08116 (2021) - [i14]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. CoRR abs/2109.07719 (2021) - [i13]Justin Wilson, Ming C. Lin:
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video. CoRR abs/2110.02404 (2021) - [i12]Justin Wilson, Nicholas Rewkowski, Ming C. Lin, Henry Fuchs:
Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction. CoRR abs/2110.02405 (2021) - [i11]Justin Wilson, Sunyeong Park, Seunghye J. Wilson, Ming C. Lin:
Voice Aging with Audio-Visual Style Transfer. CoRR abs/2110.02411 (2021) - 2020
- [j142]Qianwen Chao, Huikun Bi, Weizi Li, Tianlu Mao, Zhaoqi Wang, Ming C. Lin, Zhigang Deng:
A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving. Comput. Graph. Forum 39(1): 287-308 (2020) - [c191]Yu Shen, Junbang Liang, Ming C. Lin:
GAN-Based Garment Generation Using Sewing Pattern Images. ECCV (18) 2020: 225-247 - [c190]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. ICML 2020: 7847-7856 - [c189]Justin Wilson, Ming C. Lin:
AVOT: Audio-Visual Object Tracking of Multiple Objects for Robotics. ICRA 2020: 10045-10051 - [c188]Shivam Akhauri, Laura Y. Zheng, Ming C. Lin:
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation. IROS 2020: 5986-5993 - [c187]Nicholas Rewkowski, Ming C. Lin:
Walk a Robot Dog in VR! SIGGRAPH Immersive Pavilion 2020: 7:1-7:2 - [i10]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. CoRR abs/2007.02168 (2020) - [i9]Shivam Akhauri, Laura Y. Zheng, Ming C. Lin:
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation. CoRR abs/2007.12148 (2020) - [i8]Shivang Patel, Senthil Hariharan Arul, Pranav Dhulipala, Ming C. Lin, Dinesh Manocha, Huan Xu, Michael W. Otte:
Multi-Agent Coverage in Urban Environments. CoRR abs/2008.07436 (2020)
2010 – 2019
- 2019
- [j141]Tetsuya Takahashi, Ming C. Lin:
A Geometrically Consistent Viscous Fluid Solver with Two-Way Fluid-Solid Coupling. Comput. Graph. Forum 38(2): 49-58 (2019) - [j140]Jiaming Lu, Xiao-Song Chen, Xiao Yan, Chen-Feng Li, Ming C. Lin, Shi-Min Hu:
A Rigging-Skinning Scheme to Control Fluid Simulation. Comput. Graph. Forum 38(7): 501-512 (2019) - [j139]Senthil Hariharan Arul, Adarsh Jagan Sathyamoorthy, Shivang Patel, Michael W. Otte, Huan Xu, Ming C. Lin, Dinesh Manocha:
LSwarm: Efficient Collision Avoidance for Large Swarms With Coverage Constraints in Complex Urban Scenes. IEEE Robotics Autom. Lett. 4(4): 3940-3947 (2019) - [j138]Tetsuya Takahashi, Ming C. Lin:
Video-guided real-to-virtual parameter transfer for viscous fluids. ACM Trans. Graph. 38(6): 237:1-237:12 (2019) - [j137]Auston Sterling, Nicholas Rewkowski, Roberta L. Klatzky, Ming C. Lin:
Audio-Material Reconstruction for Virtualized Reality Using a Probabilistic Damping Model. IEEE Trans. Vis. Comput. Graph. 25(5): 1855-1864 (2019) - [c186]Junbang Liang, Ming C. Lin:
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images. ICCV 2019: 4351-4361 - [c185]Weizi Li, David Wolinski, Ming C. Lin:
ADAPS: Autonomous Driving Via Principled Simulations. ICRA 2019: 7625-7631 - [c184]Justin Wilson, Auston Sterling, Ming C. Lin:
Analyzing Liquid Pouring Sequences via Audio-Visual Neural Networks. IROS 2019: 7702-7709 - [c183]Manas Gupta, Ming C. Lin, Dinesh Manocha, Huan Xu, Michael W. Otte:
Monitoring Access to User Defined Areas with Multi-Agent Team in Urban Environments. MRS 2019: 56-62 - [c182]Junbang Liang, Ming C. Lin, Vladlen Koltun:
Differentiable Cloth Simulation for Inverse Problems. NeurIPS 2019: 771-780 - [c181]Nicholas Rewkowski, Atul Rungta, Mary C. Whitton, Ming C. Lin:
Evaluating the Effectiveness of Redirected Walking with Auditory Distractors for Navigation in Virtual Environments. VR 2019: 395-404 - [i7]Senthil Hariharan Arul, Adarsh Jagan Sathyamoorthy, Shivang Patel, Michael W. Otte, Huan Xu, Ming C. Lin, Dinesh Manocha:
LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes. CoRR abs/1902.08379 (2019) - [i6]Weizi Li, David Wolinski, Ming C. Lin:
ADAPS: Autonomous Driving Via Principled Simulations. CoRR abs/1907.08874 (2019) - [i5]Junbang Liang, Ming C. Lin:
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images. CoRR abs/1908.09464 (2019) - 2018
- [j136]Tetsuya Takahashi, Yoshinori Dobashi, Tomoyuki Nishita, Ming C. Lin:
An Efficient Hybrid Incompressible SPH Solver with Interface Handling for Boundary Conditions. Comput. Graph. Forum 37(1): 313-324 (2018) - [j135]Bo Ren, Jiahui Huang, Ming C. Lin, Shi-Min Hu:
Controllable Dendritic Crystal Simulation Using Orientation Field. Comput. Graph. Forum 37(2): 485-495 (2018) - [j134]Junbang Liang, Ming C. Lin:
Time-Domain Parallelization for Accelerating Cloth Simulation. Comput. Graph. Forum 37(8): 21-34 (2018) - [j133]Bo Ren, Xu-Yun Yang, Ming C. Lin, Nils Thuerey, Matthias Teschner, Chen-Feng Li:
Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report. J. Comput. Sci. Technol. 33(3): 431-451 (2018) - [j132]Shan Yang, Zherong Pan, Tanya Amert, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin:
Physics-Inspired Garment Recovery from a Single-View Image. ACM Trans. Graph. 37(5): 170 (2018) - [c180]Auston Sterling, Justin Wilson, Sam Lowe, Ming C. Lin:
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification. ECCV (15) 2018: 578-595 - [c179]Tonghan Wang, Xueying Qin, Fan Zhong, Xinmeng Tong, Baoquan Chen, Ming C. Lin:
Compact Object Representation of a Non-Rigid Object for Real-Time Tracking in AR Systems. ISMAR Adjunct 2018: 63-68 - [c178]David Wolinski, Ming C. Lin:
Generalized WarpDriver: Unified Collision Avoidance for Multi-Robot Systems in Arbitrarily Complex Environments. Robotics: Science and Systems 2018 - [i4]Weizi Li, Meilei Jiang, Yaoyu Chen, Ming C. Lin:
Estimating Traffic Conditions At Metropolitan Scale Using Traffic Flow Theory. CoRR abs/1810.12295 (2018) - 2017
- [j131]Weizi Li, Dong Nie, David Wilkie, Ming C. Lin:
Citywide Estimation of Traffic Dynamics via Sparse GPS Traces. IEEE Intell. Transp. Syst. Mag. 9(3): 100-113 (2017) - [j130]Weizi Li, David Wolinski, Ming C. Lin:
City-scale traffic animation using statistical learning and metamodel-based optimization. ACM Trans. Graph. 36(6): 200:1-200:12 (2017) - [j129]Tao Yang, Jian Chang, Ming C. Lin, Ralph R. Martin, Jian J. Zhang, Shi-Min Hu:
A unified particle system framework for multi-phase, multi-material visual simulations. ACM Trans. Graph. 36(6): 224:1-224:13 (2017) - [j128]Lili Wang, Ming C. Lin, Enhua Wu:
Guest Editors Introduction: Special Section on the ACM Symposium on Virtual Reality Software and Technology 2015. IEEE Trans. Vis. Comput. Graph. 23(3): 1207-1208 (2017) - [j127]Tao Yang, Ralph R. Martin, Ming C. Lin, Jian Chang, Shi-Min Hu:
Pairwise Force SPH Model for Real-Time Multi-Interaction Applications. IEEE Trans. Vis. Comput. Graph. 23(10): 2235-2247 (2017) - [j126]