Shashank Tripathi

Orcid: 0000-0002-0776-5124

According to our database1, Shashank Tripathi authored at least 15 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Emotional Speech-Driven Animation with Content-Emotion Disentanglement.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

DECO: Dense Estimation of 3D Human-Scene Contact In The Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MIME: Human-Aware 3D Scene Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D Human Pose Estimation via Intuitive Physics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
PERI: Part Aware Emotion Recognition in the Wild.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Occluded Human Mesh Recovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique.
Int. J. Cogn. Informatics Nat. Intell., 2021

AGORA: Avatars in Geography Optimized for Regression Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation.
CoRR, 2020

PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Learning to Generate Synthetic Data via Compositing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis.
Proceedings of the 2018 Eleventh International Conference on Contemporary Computing, 2018

2017
Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Deep Spectral-Based Shape Features for Alzheimer's Disease Classification.
Proceedings of the Spectral and Shape Analysis in Medical Imaging, 2016


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