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IEEE Transactions on Pattern Analysis and Machine Intelligence
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1-10 of 191 reviews
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Clustering millions of faces by identity
Otto C., Wang D., Jain A. IEEE Transactions on Pattern Analysis and Machine Intelligence 40(2): 289-303, 2018. Type: Article
Face recognition of individuals from several million images is useful for solving crimes. How should hundreds of millions of untagged face images be grouped into an unspecified number of identities? Otto et al. present an effective alg...
Oct 24 2018
Interacting multiview tracker
Yoon J., Yang M., Yoon K. IEEE Transactions on Pattern Analysis and Machine Intelligence 38(5): 903-917, 2016. Type: Article
Tracking objects in image sequences, in the presence of blurring, occlusion, and variations in illumination and object pose, is an important and challenging research area. Today’s demanding applications such as autonomous mov...
Feb 15 2017
Measuring crowd collectiveness
Zhou B., Tang X., Zhang H., Wang X. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1586-1599, 2014. Type: Article
Determination of the degree of individuals acting as a union in collective motions is an interesting research topic, while defining and quantifying such a structure and its motion is a challenging task. This paper proposes a method for...
Dec 14 2015
A two-stage framework for 3D face reconstruction from RGBD images
Wang K., Wang X., Pan Z., Liu K. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1493-1504, 2014. Type: Article
The application of MS Kinect is popular since it provides the user with color images with depth in real time. Related research in computer graphics has been focused on getting structured information out of the raw data. Although this i...
Apr 8 2015
Classification and boosting with multiple collaborative representations
Chi Y., Porikli F. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1519-1531, 2014. Type: Article
The multiclass classification problem is decomposed into two parts in this paper. The first step is to find a collaborative representation. The idea here is that a collaborative representation sees an example as a mixture of samples fr...
Apr 7 2015
Fast and scalable approximate spectral matching for higher order graph matching
Park S., Park S., Hebert M. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(3): 479-492, 2014. Type: Article
Matching visual objects computationally has many practical applications. Observational instruments placed in various positions related to the same physical object usually produce very different images; thus, accurately matching these i...
Apr 14 2014
BabyTalk: understanding and generating simple image descriptions
Kulkarni G., Premraj V., Ordonez V., Dhar S., Li S., Choi Y., Berg A., Berg T. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(12): 2891-2903, 2013. Type: Article
Kulkarni et al. propose an automatic image description system based on predicted content using natural language statistics. They claim that the system is able to produce a correct description of an image in the form of natural language...
Feb 13 2014
Local difference binary for ultrafast and distinctive feature description
Yang X., Cheng K. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(1): 188-194, 2014. Type: Article
As required in many computer vision problems, local descriptor construction has been drawing research interest for decades, especially in situations where local image structures can be detected repeatedly, invariant to a range of image...
Jan 30 2014
Deep hierarchies in the primate visual cortex: What can we learn for computer vision?
Kruger N., Janssen P., Kalkan S., Lappe M., Leonardis A., Piater J., Rodriguez-Sanchez A., Wiskott L. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(8): 1847-1871, 2013. Type: Article
Understanding human vision processing has been the ultimate goal for many vision researchers, including machine vision developers. However, successes in specific problem domains such as face detection and gait recognition have driven t...
Oct 23 2013
Image transformation based on learning dictionaries across image spaces
Jia K., Tang X., Wang X. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(2): 367-380, 2013. Type: Article
Transforming images from one image space to another is a fundamental problem in computer vision. Since natural imaging processes are too sophisticated to be modeled precisely, the conventional methods have focused on learning a statist...
Apr 30 2013
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