Amit Kumar

Orcid: 0000-0002-7494-1386

Affiliations:
  • Facebook, Menlo Park, CA, USA
  • University of Maryland, Center for Automation Research , UMIACS, College Park, MD, USA (PhD 2019)


According to our database1, Amit Kumar authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Semi-Supervised Landmark-Guided Restoration of Atmospheric Turbulent Images.
IEEE J. Sel. Top. Signal Process., 2021

EVRNet: Efficient Video Restoration on Edge Devices.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
S<sup>2</sup>LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Integrating Acting, Planning, and Learning in Hierarchical Operational Models.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Robust Facial Landmarks localization with Applications in Facial Biometrics.
PhD thesis, 2019

Landmark Detection in Low Resolution Faces with Semi-Supervised Learning.
CoRR, 2019

A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification.
CoRR, 2019

A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors.
Image Vis. Comput., 2018

Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks.
Int. J. Comput. Vis., 2018

A Semi-Automatic 2D Solution for Vehicle Speed Estimation From Monocular Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.
CoRR, 2017

KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
Segmentation of Nuclei From 3D Microscopy Images of Tissue via Graphcut Optimization.
IEEE J. Sel. Top. Signal Process., 2016

Face Alignment by Local Deep Descriptor Regression.
CoRR, 2016

Head Pose Estimation of Occluded Faces using Regularized Regression.
CoRR, 2016

An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks.
CoRR, 2016

Towards the design of an end-to-end automated system for image and video-based recognition.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

A cascaded convolutional neural network for age estimation of unconstrained faces.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015
Unconstrained Age Estimation with Deep Convolutional Neural Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015


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