IPSJ Transactions on Computer Vision and Applications View Homepage


Ontology type: schema:Periodical      Open Access: True


Journal Info

START YEAR

2016

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://ipsjcva.springeropen.com

Recent publications latest 20 shown

  • 2019-12 Attacking convolutional neural network using differential evolution
  • 2018-12 Optical tomography based on shortest-path model for diffuse surface object
  • 2018-12 Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing
  • 2018-12 Decomposition of reflection and scattering by multiple-weighted measurements
  • 2018-12 Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition
  • 2018-12 Visual saliency detection for RGB-D images under a Bayesian framework
  • 2018-12 Structure from motion using dense CNN features with keypoint relocalization
  • 2018-12 A histogram specification technique for dark image enhancement using a local transformation method
  • 2018-12 Numerical shape-from-shading revisited
  • 2018-12 An multi-scale learning network with depthwise separable convolutions
  • 2018-12 The OU-ISIR Large Population Gait Database with real-life carried object and its performance evaluation
  • 2018-12 Controlling translucency by UV printing on a translucent object
  • 2018-12 Directional characteristics evaluation of silhouette-based gait recognition
  • 2018-12 Estimating 3D human shape under clothing from a single RGB image
  • 2018-12 Pedestrian detection with motion features via two-stream ConvNets
  • 2018-12 Camera calibration with coplanar conics: a unified explanation and ambiguity analysis
  • 2018-12 Constrained multi-target tracking for team sports activities
  • 2017-12 Mobile hologram verification with deep learning
  • 2017-12 Incremental structural modeling on sparse visual SLAM
  • 2017-12 4-D light field reconstruction by irradiance decomposition
  • JSON-LD is the canonical representation for SciGraph data.

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