Papers, Patents, Talks


Papers

    2015

    • Layered Interpretation of Street View Images
      Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
      Robotics: Science and Systems Conference (RSS) Best paper finalist, 2015, Rome, Italy
      arXiv preprint arXiv:1506.04723

    2011


Awarded Patents

  • Below are my MERL patents.

  • US 9,989,964: System and Method for Controlling Vehicle Using Neural Network

  • US 9,971,958: Method and System for Generating Multimodal Digital Images

  • US 9,811,756: Method for Labeling Images of Street Scenes

  • US 9,805,294: Method for Denoising Time-of-Flight Range Images

  • US 9,704,257: System and method for semantic segmentation using Gaussian random field network

  • US 9,633,274: Method and system for denoising images using deep Gaussian conditional random field network

  • US 9,558,268: Method for semantically labeling an image of a scene using recursive context propagation

  • US 9,280,827: Method for determining object poses using Weighted Features

  • US 9,195,904: Method for detecting objects in stereo images

  • US 8,983,177: Method for increasing resolutions of depth images

  • US 8,908,913: Voting-based pose estimation for 3D sensors

  • US 8,428,363: Method for segmenting images using superpixels and entropy rate clustering


Invited Talks

  • [Slides] FUNIT: Few-Shot Unsupervised Image-to-Image Translation, CVPR 2019 Tutorial on Deep Learning for Content Creation

  • [Slides] Introduction to image-to-Image translation for game developers, Game Developerment Conference 2019

  • [Slides] Video-to-Video Synthesis, ECCV 2018 Workshop on Chalearn Looking at People

  • [Slides] Multimodal Image Domain Transfer, ECCV 2018 Workshop on Transferring and Adapting Source Knolwedge in Computer Vision and VISDA Challenge,

  • [Slides] Semantic Image Synthesis and Manipulation with Conditional GANs, CVPR 2018 Workshop on New Trends in Image Restoration and Enhancement workshop and challenges on super-resolution, dehazing, and spectral reconstruction

  • [Slides] Multimodal Unsupervised Image-to-Image Translation, CVPR 2018 Tutorial on GANs