Search Results - "Rama Chellappa"
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1
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Published in IEEE transactions on pattern analysis and machine intelligence (01-01-2019)“…We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural…”
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2
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Domain Adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring the…”
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Conference Proceeding -
3
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
Published in 2014 IEEE Conference on Computer Vision and Pattern Recognition (01-06-2014)“…Recently introduced cost-effective depth sensors coupled with the real-time skeleton estimation algorithm of Shotton et al. [16] have generated a renewed…”
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4
Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking
Published in IEEE transactions on image processing (01-12-2015)“…Visual tracking using multiple features has been proved as a robust approach because features could complement each other. Since different types of variations…”
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Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Visual Domain Adaptation is a problem of immense importance in computer vision. Previous approaches showcase the inability of even deep neural networks to…”
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6
Cross-View Action Recognition via Transferable Dictionary Learning
Published in IEEE transactions on image processing (01-06-2016)“…Discriminative appearance features are effective for recognizing actions in a fixed view, but may not generalize well to a new view. In this paper, we present…”
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Predictive modeling of lean body mass, appendicular lean mass, and appendicular skeletal muscle mass using machine learning techniques: A comprehensive analysis utilizing NHANES data and the Look AHEAD study
Published in PloS one (06-09-2024)“…This study addresses the pressing need for improved methods to predict lean mass in adults, and in particular lean body mass (LBM), appendicular lean mass…”
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Unsupervised Domain-Specific Deblurring via Disentangled Representations
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…Image deblurring aims to restore the latent sharp images from the corresponding blurred ones. In this paper, we present an unsupervised method for…”
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9
Super-Resolution of Face Images Using Kernel PCA-Based Prior
Published in IEEE transactions on multimedia (01-06-2007)“…We present a learning-based method to super-resolve face images using a kernel principal component analysis-based prior model. A prior probability is…”
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10
A Learning Approach Towards Detection and Tracking of Lane Markings
Published in IEEE transactions on intelligent transportation systems (01-09-2012)“…Road scene analysis is a challenging problem that has applications in autonomous navigation of vehicles. An integral component of this system is the robust…”
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11
Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms
Published in Proceedings of the National Academy of Sciences - PNAS (12-06-2018)“…Achieving the upper limits of face identification accuracy in forensic applications can minimize errors that have profound social and personal consequences…”
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12
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…Computed tomography (CT) is an imaging modality widely used for medical diagnosis and treatment. CT images are often corrupted by undesirable artifacts when…”
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Conference Proceeding -
13
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression
Published in International journal of computer vision (01-12-2021)Get full text
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14
DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning
Published in IEEE transactions on image processing (01-12-2015)“…Complex visual data contain discriminative structures that are difficult to be fully captured by any single feature descriptor. While recent work on domain…”
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15
Gaussian Conditional Random Field Network for Semantic Segmentation
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2016)“…In contrast to the existing approaches that use discrete Conditional Random Field (CRF) models, we propose to use a Gaussian CRF model for the task of semantic…”
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Conference Proceeding -
16
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors
Published in Image and vision computing (01-11-2018)“…Keypoint detection is one of the most important pre-processing steps in tasks such as face modeling, recognition and verification. In this paper, we present an…”
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Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation
Published in 2013 IEEE Conference on Computer Vision and Pattern Recognition (01-06-2013)“…Domain adaptation addresses the problem where data instances of a source domain have different distributions from that of a target domain, which occurs…”
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18
Fast object localization and pose estimation in heavy clutter for robotic bin picking
Published in The International journal of robotics research (01-07-2012)“…We present a practical vision-based robotic bin-picking system that performs detection and three-dimensional pose estimation of objects in an unstructured bin…”
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19
View Invariance for Human Action Recognition
Published in International journal of computer vision (01-01-2006)“…This paper presents an approach for viewpoint invariant human action recognition, an area that has received scant attention so far, relative to the overall…”
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Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identifications
Published in Scientific reports (10-10-2024)“…Malaria is a major public health concern, causing significant morbidity and mortality globally. Monitoring the local population density and diversity of the…”
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