News & Events

211 were found.


  •  NEWS   ICPR 2012: publication by Ming-Yu Liu and others
    Date: November 11, 2012
    Where: IEEE International Conference on Pattern Recognition (ICPR)
    Research Area: Computer Vision
    Brief
    • The paper "A Grassmann Manifold-based Domain Adaptation Approach" by Zheng, J., Liu, M.-Y., Chellappa, R. and Phillips, P.J. was presented at the IEEE International Conference on Pattern Recognition (ICPR)
  •  
  •  NEWS   ISMAR 2012: publication by Yuichi Taguchi, Srikumar Ramalingam and others
    Date: November 5, 2012
    Where: International Symposium on Mixed and Augmented Reality (ISMAR)
    MERL Contact: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • The paper "SLAM Using Both Points and Planes for Hand-Held 3D Sensors" by Taguchi, Y., Jian, Y.-D., Ramalingam, S. and Feng, C. was presented at the International Symposium on Mixed and Augmented Reality (ISMAR)
  •  
  •  NEWS   3DIMPVT 2012: publication by Ming-Yu Liu and others
    Date: October 13, 2012
    Where: IEEE International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)
    Research Areas: Computer Vision, Machine Learning
    Brief
    • The paper "Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization" by Hodlmoser, M., Micusik, B., Liu, M.-Y., Pollefeys, M. and Kaampel, M. was presented at the IEEE International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)
  •  
  •  NEWS   ECCV 2012: 3 publications by Yuichi Taguchi, Tyler W. Garaas, Srikumar Ramalingam, C. Oncel Tuzel and Amit K. Agrawal
    Date: October 7, 2012
    Where: European Conference on Computer Vision (ECCV)
    MERL Contact: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • The papers "Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns" by Taguchi, Y., Agrawal, A. and Tuzel, O., "Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors" by Taguchi, Y. and "Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles" by Zhu, M., Ramalingam, S., Taguchi, Y. and Garaas, T. were presented at the European Conference on Computer Vision (ECCV)
  •  
  •  NEWS   International Journal of Computer Vision: publication by Yuichi Taguchi and Srikumar Ramalingam
    Date: September 27, 2012
    Where: International Journal of Computer Vision
    MERL Contact: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • The article "A Theory of Minimal 3D Point to 3D Plane Registration and Its Generalization" by Ramalingam, S. and Taguchi, Y. was published in International Journal of Computer Vision
  •  
  •  TALK   Challenges on shape acquisition of moving object
    Date & Time: Friday, August 17, 2012; 12:00 PM
    Speaker: Prof. Hiroshi Kawasaki, Kagoshima University
    MERL Host: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • In this talk, I will introduce an overview of my research projects on 3D shape acquisition of moving object. The talk mainly focuses on two parts, the first one is about our 3D shape acquisition technique using projector and camera system and the second is entire shape acquisition using multi-view pro-cam system. I also briefly cover the following topics:

      -- Theory of shape from coplanarity technique
      -- Texture recovery method on pro-cam system
      -- Future plan on medical application of our scanner

      Those researches are jointly researched by Prof. Katushi Ikeuchi (Univ. of Tokyo), Prof. Ryo Furukawa (Hiroshima city Univ) and Prof. Ryusuke Sagawa (AIST).
  •  
  •  TALK   Applications of Mobile Augmented Reality and Pervasive Computing in Architecture, Engineering, and Construction
    Date & Time: Tuesday, July 10, 2012; 11:00 AM
    Speaker: Prof Vineet Kamat, University of Michigan
    MERL Host: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • This talk will present ongoing research at the University of Michigan Laboratory for Interactive Visualization in Engineering (LIVE) that is exploring applications of mobile pervasive computing and visualization in design, engineering, and construction. Findings from three specific research projects will be presented: Interactive Visualization of Construction Operations in Mobile Outdoor Augmented Reality; Rapid Building Damage Evaluation using Augmented Reality and Structural Simulation; and Location-Aware Contextual Information Access and Retrieval for Rapid On-Site Decision Making. In each case, the development of fundamental algorithms, their implementation as reusable and modular software, and their implementation in the engineering applications will be described.
  •  
  •  TALK   Visual 3D/4D modeling of urban places and events
    Date & Time: Friday, June 29, 2012; 2:30 PM
    Speaker: Prof. Marc Pollefeys, ETH Zurich and UNC Chapel Hill
    Research Area: Computer Vision
    Brief
    • One of the fundamental problems of computer vision is to extract 3D shape and motion from images. This can be achieved when a scene or object is observed from different viewpoints or over a period of time. First, we will discuss image-based 3D modeling and localization in large environments, e.g. urban 3D reconstruction from vehicle-borne cameras and (geo)localization from mobile-phone images. In this context, we will discuss some of the challenges an opportunities offered by symmetries of architectural structures. We will also discuss how changes in an urban environment can be detected from images, leading to the possibility to efficiently acquire 4D models. In addition to explicit 4D modeling of an event, we'll consider the possibility to perform interactive video-based rendering from casually captured videos.
  •  
  •  TALK   Toward Efficient and Robust Human Pose Estimation
    Date & Time: Tuesday, June 26, 2012; 12:00 PM
    Speaker: Min Sun, University of Michigan
    Research Area: Computer Vision
    Brief
    • Robust human pose estimation is a challenging problem in computer vision in that body part configurations are often subject to severe deformations and occlusions. Moreover, efficient pose estimation is often a desirable requirement in many applications. The trade-off between accuracy and efficiency has been explored in a large number of approaches. On the one hand, models with simple representations (like tree or star models) can be efficiently applied in pose estimation problems. However, these models are often prone to body part misclassification errors. On the other hand, models with rich representations (i.e., loopy graphical models) are theoretically more robust, but their inference complexity may increase dramatically. In this talk, we present an efficient and exact inference algorithm based on branch-and-bound to solve the human pose estimation problem on loopy graphical models. We show that our method is empirically much faster (about 74 times) than the state-of-the-art exact inference algorithm [Sontag et al. UAI'08]. By extending a state-of-the-art tree model [Sapp et al. ECCV'10] to a loopy graphical model, we show that the estimation accuracy improves for most of the body parts (especially lower arms) on popular datasets such as Buffy [Ferrari et al. CVPR'08] and Stickmen [Eichner and Ferrari BMVC'09] datasets. Our method can also be used to exactly solve most of the inference problems of Stretchable Models [Sapp et al. CVPR'11] on video sequences (which contains a few hundreds of variables) in just a few minutes. Finally, we show that the novel inference algorithm can potentially be used to solve human behavior understanding and biological computation problems.
  •  
  •  NEWS   CVPR 2012: 4 publications by Yuichi Taguchi, Srikumar Ramalingam and Amit K. Agrawal
    Date: June 16, 2012
    Where: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    MERL Contact: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • The papers "Connecting the Dots in Multi-Class Classification: From Nearest Subspace to Collaborative Representation" by Chi, Y. and Porikli, F., "Decomposing Global Light Transport using Time of Flight Imaging" by Wu, D., O'Toole, M., Velten, A., Agrawal, A. and Raskar, R., "Changedetection.net: A New Change Detection Benchmark Dataset" by Goyette, N., Jodoin, P.-M., Porikli, F., Konrad, J. and Ishwar, P. and "A Theory of Multi-Layer Flat Refractive Geometry" by Agrawal, A., Ramalingam, S., Taguchi, Y. and Chari, V. were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  •  
  •  NEWS   ICRA 2012: 3 publications by Yuichi Taguchi, Srikumar Ramalingam, Amit K. Agrawal, C. Oncel Tuzel and Ming-Yu Liu
    Date: May 14, 2012
    Where: IEEE International Conference on Robotics and Automation (ICRA)
    MERL Contact: Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • The papers "Voting-based Pose Estimation for Robotic Assembly Using a 3D Sensor" by Choi, C., Taguchi, Y., Tuzel, O., Liu, M.-Y. and Ramalingam, S., "Convex Bricks: A New Primitive for Visual Hull Modeling and Reconstruction" by Chari, V., Agrawal, A., Taguchi, Y. and Ramalingam, S. and "Coverage Optimized Active Learning for k - NN Classifiers" by Joshi, A.J., Porikli, F. and Papanikolopoulos, N. were presented at the IEEE International Conference on Robotics and Automation (ICRA)
  •  
  •  NEWS   The International Journal of Robotics Research: publication by Yuichi Taguchi, Tim K. Marks, C. Oncel Tuzel, Ming-Yu Liu and others
    Date: May 8, 2012
    Where: The International Journal of Robotics Research
    MERL Contacts: Tim Marks; Yuichi Taguchi
    Research Area: Computer Vision
    Brief
    • The article "Fast Object Localization and Pose Estimation in Heavy Clutter for Robotic Bin Picking" by Liu, M.-Y., Tuzel, O., Veeraraghavan, A., Taguchi, Y., Marks, T.K. and Chellappa, R. was published in The International Journal of Robotics Research
  •  
  •  TALK   Cooperative Cuts: Coupling Edges via Submodularity
    Date & Time: Thursday, April 12, 2012; 12:00 PM
    Speaker: Dr. Stefanie Jegelka, UC Berkeley
    Research Area: Computer Vision
    Brief
    • Graph cuts that represent pairwise Markov random fields have been a popular tool in computer vision, but they have some well-known shortcomings that arise from their locality and conditional independence assumptions. We therefore extend graph cuts to "cooperative cuts", where "cooperating" graph edges incur a lower combined cost. This cooperation is modeled by submodular functions on edges. The resulting family of global energy functions includes recent models in computer vision and also new critieria which e.g. significantly improve image segmentation results for finely structured objects and for images with variation in contrast. While "minimum cooperative cut" is NP-hard, the underlying indirect submodularity and the graph structure enable efficient approximations.

      In the second part of the talk, I will switch topics and briefly address Hilbert space embeddings of distributions. With the kernel trick, such embeddings help generalize clustering objectives to consider higher-order moments of distributions instead of merely point locations.
  •  
  •  NEWS   ICCP 2012: publication by Yuichi Taguchi, C. Oncel Tuzel, Amit K. Agrawal and others
    Date: April 1, 2012
    Where: Computational Photography (ICCP), 2012 IEEE International Conference on
    MERL Contact: Yuichi Taguchi
    Research Areas: Computer Vision, Computational Photography
    Brief
    • The paper "Variable Focus Video: Reconstructing Depth and Video for Dynamic Scenes" by Shroff, N., Veeraraghavan, A., Taguchi, Y., Tuzel, O., Agrawal, A. and Chellappa, R. was presented at the Computational Photography (ICCP), 2012 IEEE International Conference on
  •  
  •  NEWS   EUSAR 2012: publication by MERL researchers and others
    Date: April 1, 2012
    Where: European Conference on Synthetic Aperture Radar (EUSAR)
    Research Area: Computer Vision
    Brief
    • The paper "SAR Despeckle Filtering by Sparse Coding on Affinity Nets (SCAN)" by Porikli, F., Sundaresan, R. and Suwa, K. was presented at the European Conference on Synthetic Aperture Radar (EUSAR)
  •  
  •  NEWS   IEEE Transactions on Pattern Analysis and Machine Intelligence: publication by MERL researchers and others
    Date: January 10, 2012
    Where: IEEE Transactions on Pattern Analysis and Machine Intelligence
    Research Areas: Computer Vision, Machine Learning
    Brief
    • The article "Scalable Active Learning for Multi-Class Image Classification" by Joshi, A.J., Porikli, F. and Papanikolopoulos, N. was published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  •  
  •  NEWS   Video Analytics for Business Intelligence: publication by MERL researchers and others
    Date: January 1, 2012
    Where: Video Analytics for Business Intelligence
    Research Areas: Computer Vision, Machine Learning
    Brief
    • The article "Object Detection & Tracking" by Porikli, F. and Yilmaz, A. was published in the book Video Analytics for Business Intelligence
  •  
  •  NEWS   ICCV 2011: publication by Michael J. Jones, Tim K. Marks and others
    Date: November 6, 2011
    Where: IEEE International Conference on Computer Vision (ICCV)
    MERL Contacts: Tim Marks; Michael Jones
    Research Areas: Data Analytics, Computer Vision
    Brief
    • The paper "Fully Automatic Pose-Invariant Face Recognition via 3D Pose Normalization" by Asthana, A., Marks, T.K., Jones, M.J., Tieu, K.H. and Rohith, M. was presented at the IEEE International Conference on Computer Vision (ICCV)
  •  
  •  NEWS   IEEE Signal Processing Magazine: publication by MERL researchers and others
    Date: October 31, 2011
    Where: IEEE Signal Processing Magazine
    Research Area: Computer Vision
    Brief
    • The article "Multimedia Quality Assessment" by Porikli, F., Bovik, A., Plack, C., AlRegib, G., Farrell, J., LeCallet, P., Huynth-Thu, Q., Moeller, S. and Winkler, S. was published in IEEE Signal Processing Magazine
  •  
  •  NEWS   IROS 2011: publication by Yuichi Taguchi, John R. Hershey and Tim K. Marks
    Date: September 25, 2011
    Where: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    MERL Contacts: Tim Marks; Yuichi Taguchi; John Hershey
    Research Areas: Multimedia, Computer Vision
    Brief
    • The paper "Entropy-Based Motion Selection for Touch-Based Registration Using Rao-Blackwellized Particle Filtering" by Taguchi, Y., Marks, T.K. and Hershey, J.R. was presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  •