Shashank Jaiswal

Orcid: 0000-0003-4678-1511

According to our database1, Shashank Jaiswal authored at least 22 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition.
IEEE Trans. Affect. Comput., 2023

Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition.
IEEE Trans. Affect. Comput., 2023

2022
Spectral Representation of Behaviour Primitives for Depression Analysis.
IEEE Trans. Affect. Comput., 2022

An entropy stable scheme for the non-linear Boltzmann equation.
J. Comput. Phys., 2022

Non-linear Boltzmann equation on hybrid-unstructured non-conforming multi-domains.
J. Comput. Phys., 2022

DyBAnd: Dynamic Behavior Based Android Malware Detection.
Proceedings of the Mobile Internet Security - 6th International Symposium, 2022

2021
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition.
CoRR, 2021

Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety.
Proceedings of the IVA '21: ACM International Conference on Intelligent Virtual Agents, 2021

2019
A discontinuous Galerkin fast spectral method for the full Boltzmann equation with general collision kernels.
J. Comput. Phys., 2019

A Discontinuous Galerkin Fast Spectral Method for Multi-Species Full Boltzmann on Streaming Multi-Processors.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

Virtual Human Questionnaire for Analysis of Depression, Anxiety and Personality.
Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, 2019

Automatic prediction of Depression and Anxiety from behaviour and personality attributes.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Dynamic deep learning for automatic facial expression recognition and its application in diagnosis of ADHD & ASD.
PhD thesis, 2018

Deep Learned Cumulative Attribute Regression.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
Deep learning the dynamic appearance and shape of facial action units.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

An Efficient GPU Parallelization for Arbitrary Collocated Polyhedral Finite Volume Grids and Its Application to Incompressible Fluid Flows.
Proceedings of the 23rd IEEE International Conference on High Performance Computing Workshops, 2016

2015
AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data.
Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, 2015

Learning to combine local models for facial Action Unit detection.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

FugaciousFilm: Exploring Attentive Interaction with Ephemeral Material.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2013
Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013


  Loading...