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ORCIDShashank Jaiswal
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Books and Theses
- 2018
[b1]Shashank Jaiswal:
Dynamic deep learning for automatic facial expression recognition and its application in diagnosis of ADHD & ASD. University of Nottingham, UK, 2018
Journal Articles
- 2023
- [j6]Siyang Song
, Shashank Jaiswal, Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Linlin Shen, Michel F. Valstar:
Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14(1): 178-195 (2023) - [j5]Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14(4): 3048-3065 (2023) - 2022
- [j4]Shashank Jaiswal:
Non-linear Boltzmann equation on hybrid-unstructured non-conforming multi-domains. J. Comput. Phys. 450: 110687 (2022) - [j3]Shashank Jaiswal:
An entropy stable scheme for the non-linear Boltzmann equation. J. Comput. Phys. 463: 111289 (2022) - [j2]Siyang Song, Shashank Jaiswal, Linlin Shen, Michel F. Valstar:
Spectral Representation of Behaviour Primitives for Depression Analysis. IEEE Trans. Affect. Comput. 13(2): 829-844 (2022) - 2019
- [j1]Shashank Jaiswal, Alina A. Alexeenko, Jingwei Hu:
A discontinuous Galerkin fast spectral method for the full Boltzmann equation with general collision kernels. J. Comput. Phys. 378: 178-208 (2019)
Conference and Workshop Papers
- 2022
- [c14]Shashank Jaiswal, Vikas Sihag, Gaurav Choudhary, Nicola Dragoni:
DyBAnd: Dynamic Behavior Based Android Malware Detection. MobiSec 2022: 209-219 - 2021
- [c13]Joy O. Egede, Dominic Price, Deepa B. Krishnan, Shashank Jaiswal, Natasha Elliot, Richard F. Morriss, Maria J. Galvez Trigo, Neil Nixon, Peter Liddle, Christopher Greenhalgh, Michel F. Valstar:
Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety. IVA 2021: 52-59 - [c12]Zilong Shao, Siyang Song, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation. ACM Multimedia 2021: 357-366 - 2019
- [c11]Shashank Jaiswal, Siyang Song, Michel F. Valstar:
Automatic prediction of Depression and Anxiety from behaviour and personality attributes. ACII 2019: 1-7 - [c10]Shashank Jaiswal, Michel F. Valstar, Keerthy Kusumam, Chris Greenhalgh:
Virtual Human Questionnaire for Analysis of Depression, Anxiety and Personality. IVA 2019: 81-87 - [c9]Shashank Jaiswal, Jingwei Hu, Julien K. Brillon, Alina A. Alexeenko:
A Discontinuous Galerkin Fast Spectral Method for Multi-Species Full Boltzmann on Streaming Multi-Processors. PASC 2019: 4:1-4:9 - 2018
- [c8]Shashank Jaiswal, Joy Egede, Michel F. Valstar:
Deep Learned Cumulative Attribute Regression. FG 2018: 715-722 - 2017
- [c7]Shashank Jaiswal, Michel F. Valstar, Alinda Gillott, David Daley:
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data. FG 2017: 762-769 - 2016
- [c6]Shashank Jaiswal, Rajesh Reddy, Raja Banerjee, Shingo Sato, Daisuke Komagata, Makoto Ando, Jun Okada:
An Efficient GPU Parallelization for Arbitrary Collocated Polyhedral Finite Volume Grids and Its Application to Incompressible Fluid Flows. HiPC Workshops 2016: 81-89 - [c5]Shashank Jaiswal, Michel F. Valstar:
Deep learning the dynamic appearance and shape of facial action units. WACV 2016: 1-8 - 2015
- [c4]Hyosun Kwon, Shashank Jaiswal, Steve Benford, Sue Ann Seah, Peter D. Bennett, Boriana Koleva, Holger Schnädelbach:
FugaciousFilm: Exploring Attentive Interaction with Ephemeral Material. CHI 2015: 1285-1294 - [c3]Shashank Jaiswal, Brais Martínez, Michel François Valstar:
Learning to combine local models for facial Action Unit detection. FG 2015: 1-6 - [c2]Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Shashank Jaiswal, Erik Marchi, Denis Lalanne, Roddy Cowie, Maja Pantic:
AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data. AVEC@ACM Multimedia 2015: 3-8 - 2013
- [c1]Shashank Jaiswal, Timur R. Almaev, Michel F. Valstar:
Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild. ICCV Workshops 2013: 370-377
Informal and Other Publications
- 2021
- [i3]Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition. CoRR abs/2110.13570 (2021) - 2018
- [i2]Shashank Jaiswal, Alina A. Alexeenko, Jingwei Hu:
A Discontinuous Galerkin Fast Spectral Method for the Full Boltzmann Equation with General Collision Kernels. CoRR abs/1809.10186 (2018) - 2016
- [i1]Shashank Jaiswal, Michel F. Valstar, Alinda Gillott, David Daley:
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data. CoRR abs/1612.02374 (2016)
Coauthor Index
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