Tim Marks

Tim Marks
  • Biography

    Prior to joining MERL's Imaging Group in 2008, Tim did postdoctoral research in robotic Simultaneous Localization and Mapping in collaboration with NASA's Jet Propulsion Laboratory. His research at MERL spans a variety of areas in computer vision and machine learning, including face recognition under variations in pose and lighting, and robotic vision and touch-based registration for industrial automation.

  • Recent News & Events


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  • Awards

    •  AWARD   MERL Researchers win Best Paper Award at ICCV 2019 Workshop on Statistical Deep Learning in Computer Vision
      Date: October 27, 2019
      Awarded to: Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu
      MERL Contact: Tim Marks
      Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
      Brief
      • MERL researcher Tim Marks, former MERL interns Abhinav Kumar and Wenxuan Mou, and MERL consultants Professor Chen Feng (NYU) and Professor Xiaoming Liu (MSU) received the Best Oral Paper Award at the IEEE/CVF International Conference on Computer Vision (ICCV) 2019 Workshop on Statistical Deep Learning in Computer Vision (SDL-CV) held in Seoul, Korea. Their paper, entitled "UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss," describes a method which, given an image of a face, estimates not only the locations of facial landmarks but also the uncertainty of each landmark location estimate.
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  • Research Highlights

  • Internships with Tim

    • CV1421: Uncertainty Estimation in Deep Landmark Localization

      While deep networks have been highly successful at visual regression problems such as face landmark estimation and human body tracking, relatively little work has been done on estimating the uncertainty of their predictions. We are seeking a highly motivated intern to conduct original research in the area of uncertainty estimation for deep network predictions. The successful candidate will collaborate with MERL researchers to design and implement new models, conduct experiments, and prepare results for publication. The candidate should be a PhD student in computer vision and machine learning with a strong publication record and experience in deep learning-based face or body landmark estimation and tracking. Strong programming skills, experience developing and implementing new models in deep learning platforms such as PyTorch and TensorFlow, and broad knowledge of machine learning and deep learning methods are expected.

    • CV1422: Generative Adversarial Networks (GANs)

      Generative adversarial networks (GANs) and related methods have generated much excitement for their ability to synthesize images and data that appear remarkably realistic. MERL is seeking a highly motivated intern to conduct original research in the area of generative adversarial networks. The successful candidate will collaborate with MERL researchers to design and implement new models, conduct experiments, and prepare results for publication. The candidate should be a PhD student in computer vision with experience in GANs and related deep learning methods, as well as good general knowledge in machine learning and a strong publication record. Strong programming skills in Python, flexibility working across various deep learning platforms (e.g., PyTorch and TensorFlow), and previous experience coding GANs are expected.

    • CV1423: Health Monitoring from Video

      MERL is seeking a highly motivated intern to conduct original research in the area of monitoring vital signs, such as heart rate and heart rate variability, from video of a person. The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The candidate should be a PhD student in computer vision with a strong publication record and experience in computer vision, signal processing, machine learning, and health monitoring. Strong programming skills (C/C++, Python, Matlab, etc.) are expected.

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  • MERL Publications

    •  Cherian, A., Wang, J., Hori, C., Marks, T., "Spatio-Temporal Ranked-Attention Networks for Video Captioning", IEEE Winter Conference on Applications of Computer Vision (WACV), February 2020.
      BibTeX Download PDFAbout TR2020-016
      • @inproceedings{Cherian2020feb,
      • author = {Cherian, Anoop and Wang, Jue and Hori, Chiori and Marks, Tim},
      • title = {Spatio-Temporal Ranked-Attention Networks for Video Captioning},
      • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
      • year = 2020,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2020-016}
      • }
    •  Huang, R., Xu, W., Lee, T.-Y., Cherian, A., Wang, Y., Marks, T., "FX-GAN: Self-Supervised GAN Learning via Feature Exchange", IEEE Winter Conference on Applications of Computer Vision (WACV), February 2020.
      BibTeX Download PDFAbout TR2020-014
      • @inproceedings{Huang2020feb,
      • author = {Huang, Rui and Xu, Wenju and Lee, Teng-Yok and Cherian, Anoop and Wang, Ye and Marks, Tim},
      • title = {FX-GAN: Self-Supervised GAN Learning via Feature Exchange},
      • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
      • year = 2020,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2020-014}
      • }
    •  Wu, Y., Marks, T., Cherian, A., Chen, S., Feng, C., Wang, G., Sullivan, A., "Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation", IEEE ICCV Workshop on Recovering 6D Object Pose, October 2019.
      BibTeX Download PDFAbout TR2019-118
      • @inproceedings{Wu2019oct,
      • author = {Wu, Yuanwei and Marks, Tim and Cherian, Anoop and Chen, Siheng and Feng, Chen and Wang, Guanghui and Sullivan, Alan},
      • title = {Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation},
      • booktitle = {IEEE ICCV Workshop on Recovering 6D Object Pose},
      • year = 2019,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2019-118}
      • }
    •  Marks, T., Kumar, A., Mou, W., Feng, C., Liu, X., "UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss", IEEE International Conference on Computer Vision (ICCV) Workshop on Statistical Deep Learning for Computer Vision (SDL-CV), October 2019.
      BibTeX Download PDFAbout TR2019-117
      • @inproceedings{Marks2019oct,
      • author = {Marks, Tim and Kumar, Abhinav and Mou, Wenxuan and Feng, Chen and Liu, Xiaoming},
      • title = {UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss},
      • booktitle = {IEEE International Conference on Computer Vision (ICCV) Workshop on Statistical Deep Learning for Computer Vision (SDL-CV)},
      • year = 2019,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2019-117}
      • }
    •  Hori, C., Cherian, A., Marks, T., Hori, T., "Joint Student-Teacher Learning for Audio-Visual Scene-Aware Dialog", Interspeech, September 2019, pp. 1886-1890.
      BibTeX Download PDFAbout TR2019-097
      • @inproceedings{Hori2019sep,
      • author = {Hori, Chiori and Cherian, Anoop and Marks, Tim and Hori, Takaaki},
      • title = {Joint Student-Teacher Learning for Audio-Visual Scene-Aware Dialog},
      • booktitle = {Interspeech},
      • year = 2019,
      • pages = {1886--1890},
      • month = sep,
      • publisher = {ISCA},
      • url = {https://www.merl.com/publications/TR2019-097}
      • }
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  • Other Publications

    •  Tim K Marks, Andrew Howard, Max Bajracharya, Garrison W Cottrell and Larry H Matthies, "Gamma-SLAM: Visual SLAM in unstructured environments using variance grid maps", Journal of Field Robotics, Vol. 26, No. 1, pp. 26-51, 2009.
      BibTeX
      • @Article{marks2009gamma,
      • author = {Marks, Tim K and Howard, Andrew and Bajracharya, Max and Cottrell, Garrison W and Matthies, Larry H},
      • title = {Gamma-SLAM: Visual SLAM in unstructured environments using variance grid maps},
      • journal = {Journal of Field Robotics},
      • year = 2009,
      • volume = 26,
      • number = 1,
      • pages = {26--51},
      • publisher = {Wiley Online Library}
      • }
    •  Luke Barrington, Tim K Marks, Janet Hui-wen Hsiao and Garrison W Cottrell, "NIMBLE: A kernel density model of saccade-based visual memory", Journal of Vision, Vol. 8, No. 14, 2008.
      BibTeX
      • @Article{barrington2008nimble,
      • author = {Barrington, Luke and Marks, Tim K and Hsiao, Janet Hui-wen and Cottrell, Garrison W},
      • title = {NIMBLE: A kernel density model of saccade-based visual memory},
      • journal = {Journal of Vision},
      • year = 2008,
      • volume = 8,
      • number = 14,
      • publisher = {Association for Research in Vision and Ophthalmology}
      • }
    •  Tim K Marks, Andrew Howard, Max Bajracharya, Garrison W Cottrell and Larry Matthies, "Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments", Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on, 2008, pp. 3717-3724.
      BibTeX
      • @Inproceedings{marks2008gamma,
      • author = {Marks, Tim K and Howard, Andrew and Bajracharya, Max and Cottrell, Garrison W and Matthies, Larry},
      • title = {Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments},
      • booktitle = {Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on},
      • year = 2008,
      • pages = {3717--3724},
      • organization = {IEEE}
      • }
    •  Lingyun Zhang, Matthew H Tong, Tim K Marks, Honghao Shan and Garrison W Cottrell, "SUN: A Bayesian framework for saliency using natural statistics", Journal of Vision, Vol. 8, No. 7, 2008.
      BibTeX
      • @Article{zhang2008sun,
      • author = {Zhang, Lingyun and Tong, Matthew H and Marks, Tim K and Shan, Honghao and Cottrell, Garrison W},
      • title = {SUN: A Bayesian framework for saliency using natural statistics},
      • journal = {Journal of Vision},
      • year = 2008,
      • volume = 8,
      • number = 7,
      • publisher = {Association for Research in Vision and Ophthalmology}
      • }
    •  Tim K Marks, Andrew Howard, Max Bajracharya, Garrison W Cottrell and Larry Matthies, "Gamma-SLAM: Stereo visual SLAM in unstructured environments using variance grid maps", IROS visual SLAM workshop, 2007.
      BibTeX
      • @Article{marks2007gamma,
      • author = {Marks, Tim K and Howard, Andrew and Bajracharya, Max and Cottrell, Garrison W and Matthies, Larry},
      • title = {Gamma-SLAM: Stereo visual SLAM in unstructured environments using variance grid maps},
      • journal = {IROS visual SLAM workshop},
      • year = 2007,
      • publisher = {Citeseer}
      • }
    •  Tim K Marks, John Hershey, J Cooper Roddey and Javier R Movellan, "Joint tracking of pose, expression, and texture using conditionally Gaussian filters", Advances in neural information processing systems, Vol. 17, pp. 889-896, 2005.
      BibTeX
      • @Article{marks2005joint,
      • author = {Marks, Tim K and Hershey, John and Roddey, J Cooper and Movellan, Javier R},
      • title = {Joint tracking of pose, expression, and texture using conditionally Gaussian filters},
      • journal = {Advances in neural information processing systems},
      • year = 2005,
      • volume = 17,
      • pages = {889--896}
      • }
    •  Tim K Marks, John Hershey, J Cooper Roddey and Javier R Movellan, "3d tracking of morphable objects using conditionally gaussian nonlinear filters", Computer Vision and Pattern Recognition Workshop, 2004. CVPRW'04. Conference on, 2004, pp. 190-190.
      BibTeX
      • @Inproceedings{marks20043d,
      • author = {Marks, Tim K and Hershey, John and Roddey, J Cooper and Movellan, Javier R},
      • title = {3d tracking of morphable objects using conditionally gaussian nonlinear filters},
      • booktitle = {Computer Vision and Pattern Recognition Workshop, 2004. CVPRW'04. Conference on},
      • year = 2004,
      • pages = {190--190},
      • organization = {IEEE}
      • }
    •  Tim K Marks and Javier R Movellan, "Diffusion networks, products of experts, and factor analysis", Proc. Int. Conf. on Independent Component Analysis, pp. 481-485, 2001.
      BibTeX
      • @Article{marks2001diffusion,
      • author = {Marks, Tim K and Movellan, Javier R},
      • title = {Diffusion networks, products of experts, and factor analysis},
      • journal = {Proc. Int. Conf. on Independent Component Analysis},
      • year = 2001,
      • pages = {481--485},
      • publisher = {Citeseer}
      • }
  • Videos

  • MERL Issued Patents

    • Title: "Method and System for Determining 3D Object Poses and Landmark Points using Surface Patches"
      Inventors: Jones, Michael J.; Marks, Tim; Papazov, Chavdar
      Patent No.: 10,515,259
      Issue Date: Dec 24, 2019
    • Title: "Method and System for Multi-Modal Fusion Model"
      Inventors: Hori, Chiori; Hori, Takaaki; Hershey, John R.; Marks, Tim
      Patent No.: 10,417,498
      Issue Date: Sep 17, 2019
    • Title: "Method and System for Detecting Actions in Videos"
      Inventors: Jones, Michael J.; Tuzel, Oncel; Marks, Tim; Singh, Bharat
      Patent No.: 10,242,266
      Issue Date: Mar 26, 2019
    • Title: "Method and System for Detecting Actions in Videos using Contour Sequences"
      Inventors: Jones, Michael J.; Marks, Tim; Kulkarni, Kuldeep
      Patent No.: 10,210,391
      Issue Date: Feb 19, 2019
    • Title: "Method for Estimating Locations of Facial Landmarks in an Image of a Face using Globally Aligned Regression"
      Inventors: Tuzel, Oncel; Marks, Tim; Tambe, Salil
      Patent No.: 9,633,250
      Issue Date: Apr 25, 2017
    • Title: "Method for Generating Representations Polylines Using Piecewise Fitted Geometric Primitives"
      Inventors: Brand, Matthew E.; Marks, Tim; MV, Rohith
      Patent No.: 9,613,443
      Issue Date: Apr 4, 2017
    • Title: "Method for Determining Similarity of Objects Represented in Images"
      Inventors: Jones, Michael J.; Marks, Tim; Ahmed, Ejaz
      Patent No.: 9,436,895
      Issue Date: Sep 6, 2016
    • Title: "Method for Detecting 3D Geometric Boundaries in Images of Scenes Subject to Varying Lighting"
      Inventors: Marks, Tim; Tuzel, Oncel; Porikli, Fatih M.; Thornton, Jay E.; Ni, Jie
      Patent No.: 9,418,434
      Issue Date: Aug 16, 2016
    • Title: "Method for Factorizing Images of a Scene into Basis Images"
      Inventors: Tuzel, Oncel; Marks, Tim; Porikli, Fatih M.; Ni, Jie
      Patent No.: 9,384,553
      Issue Date: Jul 5, 2016
    • Title: "Method and System for Tracking People in Indoor Environments using a Visible Light Camera and a Low-Frame-Rate Infrared Sensor"
      Inventors: Marks, Tim; Jones, Michael J.; Kumar, Suren
      Patent No.: 9,245,196
      Issue Date: Jan 26, 2016
    • Title: "Method for Detecting and Tracking Objects in Image Sequences of Scenes Acquired by a Stationary Camera"
      Inventors: Marks, Tim; Jones, Michael J.; MV, Rohith
      Patent No.: 9,213,896
      Issue Date: Dec 15, 2015
    • Title: "Method and System for Segmenting Moving Objects from Images Using Foreground Extraction"
      Inventors: Veeraraghavan, Ashok N.; Marks, Tim; Taguchi, Yuichi
      Patent No.: 8,941,726
      Issue Date: Jan 27, 2015
    • Title: "Camera-Based 3D Climate Control"
      Inventors: Marks, Tim; Jones, Michael J.
      Patent No.: 8,929,592
      Issue Date: Jan 6, 2015
    • Title: "Method and System for Registering an Object with a Probe Using Entropy-Based Motion Selection and Rao-Blackwellized Particle Filtering"
      Inventors: Taguchi, Yuichi; Marks, Tim; Hershey, John R.
      Patent No.: 8,510,078
      Issue Date: Aug 13, 2013
    • Title: "Localization in Industrial Robotics Using Rao-Blackwellized Particle Filtering"
      Inventors: Marks, Tim; Taguchi, Yuichi
      Patent No.: 8,219,352
      Issue Date: Jul 10, 2012
    • Title: "Method for Synthetically Images of Objects"
      Inventors: Jones, Michael J.; Marks, Tim; Kumar, Ritwik
      Patent No.: 8,194,072
      Issue Date: Jun 5, 2012
    See All Patents for MERL