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Hima Vadapalli
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2020 – today
- 2024
- [c12]Francois Volschenk, Hima Vadapalli
, Dustin van der Haar
:
Exercise Recognition and Repetition Counting for Automatic Workout Documentation Using Computer Vision. HCI (28) 2024: 298-309 - 2022
- [j2]Anil Audumbar Pise, Hima Vadapalli, Ian Sanders:
Facial emotion recognition using temporal relational network: an application to E-learning. Multim. Tools Appl. 81(19): 26633-26653 (2022) - [c11]Christine Asaju
, Hima Vadapalli
:
Adaptive Reasoning: An Affect Related Feedback Approach for Enhanced E-Learning. SACAIR 2022: 215-230 - 2021
- [j1]Anil Audumbar Pise
, Hima Vadapalli, Ian Sanders:
Relational Reasoning Using Neural Networks: A Survey. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29(Suppl-2): 237-258 (2021) - [c10]Christine Asaju
, Hima Vadapalli
:
A Temporal Approach to Facial Emotion Expression Recognition. SACAIR 2021: 274-286 - 2020
- [i1]George Obaido, Abejide Ade-Ibijola, Hima Vadapalli:
Synthesis of SQL Queries from South African Local Language Narrations. CoRR abs/2011.07376 (2020)
2010 – 2019
- 2019
- [c9]George Obaido, Abejide Ade-Ibijola, Hima Vadapalli
:
Generating Narrations of Nested SQL Queries Using Context-free Grammars. ICTAS 2019: 1-6 - [c8]Dennis Murekachiro
, Thabang Mokoteli, Hima Vadapalli
:
Predicting Emerging and Frontier Stock Markets Using Deep Neural Networks. IntelliSys (1) 2019: 899-918 - [c7]Wade Downton, Hima Vadapalli
:
Age and Gender Estimation using Optimised Deep Networks. SAICSIT 2019: 14:1-14:9 - [c6]Benisemeni Esther Zakka, Hima Vadapalli
:
Detecting Learning Affect in E-Learning Platform Using Facial Emotion Expression. SoCPaR 2019: 217-225 - 2017
- [c5]Hanno Brink, Hima B. Vadapalli
:
Deformable part models with CNN features for facial landmark detection under occlusion. SAICSIT 2017: 5:1-5:9 - [c4]Dumisani Kunene
, Hima Vadapalli
:
Better feature acquisition through the use of infrared imaging for human detection systems. SAICSIT 2017: 21:1-21:10 - 2016
- [c3]Dumisani Kunene
, Hima Vadapalli
, Jaco Cronje:
Indoor Sign Recognition for the Blind. SAICSIT 2016: 19:1-19:9 - 2014
- [c2]Deniz Bingol, Turgay Çelik, Christian W. Omlin
, Hima B. Vadapalli
:
Facial action unit intensity estimation using rotation invariant features and regression analysis. ICIP 2014: 1381-1385
2000 – 2009
- 2009
- [c1]Hima Vadapalli, Henry O. Nyongesa, Christian W. Omlin:
Facial Action Unit Recognition Using Recurrent Neural Networks. IPCV 2009: 357-361
Coauthor Index
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