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Priyadarshini Kumari
Priyadarshini Kumari
Sony AI, IIT Bombay
Verified email at sony.com - Homepage
Title
Cited by
Cited by
Year
Haptic rendering of cultural heritage objects at different scales
KG Sreeni, K Priyadarshini, AK Praseedha, S Chaudhuri
Haptics: Perception, Devices, Mobility, and Communication: International …, 2012
172012
Perceptnet: Learning perceptual similarity of haptic textures in presence of unorderable triplets
K Priyadarshini, S Chaudhuri, S Chaudhuri
2019 IEEE World Haptics Conference (WHC), 163-168, 2019
16*2019
Batch decorrelation for active metric learning
P Kumari, R Goru, S Chaudhuri, S Chaudhuri
Proceedings of the Twenty-Ninth International Conference on International …, 2021
92021
Scalable rendering of variable density point cloud data
P Kumari, KG Sreeni, S Chaudhuri
2013 World Haptics Conference (WHC), 91-96, 2013
52013
A unified batch selection policy for active metric learning
K Priyadarshini, S Chaudhuri, V Borkar, S Chaudhuri
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
32021
Combined hapto-visual and auditory rendering of cultural heritage objects
PK Aniyath, SK Gopalan, P Kumari, S Chaudhuri
Asian Conference on Computer Vision, 491-506, 2014
32014
Cultural heritage objects: Bringing them alive through virtual touch
S Chaudhuri, K Priyadarshini
Digital Hampi: Preserving Indian Cultural Heritage, 337-354, 2017
22017
Haptics: Perception, Devices, Control, and Applications: 10th International Conference, EuroHaptics 2016, London, UK, July 4-7, 2016, Proceedings, Part I
F Bello, H Kajimoto, Y Visell
Springer, 2016
22016
Batch Decorrelation for Active Metric Learning
R Goru, S Chaudhuri, S Chaudhuri
arXiv preprint arXiv:2005.10008, 2020
1*2020
Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness
P Kumari, S Chaudhuri
Haptics: Perception, Devices, Control, and Applications: 10th International …, 2016
12016
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics. 2021
P Kumari, S Chaudhuri, V Borkar, S Chaudhuri
1
Link Prediction for Hypothesis Generation: An Active Curriculum Learning Infused Temporal Graph-Based Approach
U Akujuobi, P Kumari, JA Choi, S Badreddine, K Maruyama, ...
2023
Perceptual metrics for odorants: Learning from non-expert similarity feedback using machine learning
P Kumari, T Besold, M Spranger
Plos one 18 (11), e0291767, 2023
2023
FRUNI and FTREE synthetic knowledge graphs for evaluating explainability
PS Martin, T Besold, P Kumari
XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023., 2023
2023
Comparing molecular representations, e-nose signals, and other featurization, for learning to smell aroma molecules
T Debnath, S Badreddine, P Kumari, M Spranger
Plos one 18 (8), e0289881, 2023
2023
Optimizing Learning Across Multimodal Transfer Features for Modeling Olfactory Perception
D Shin, G Pei, P Kumari, TR Besold
Multimodal SigKDD 2023, 2023
2023
Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique
K Priyadarshini, S Chaudhuri
2022 IEEE Haptics Symposium (HAPTICS), 1-6, 2022
2022
Label efficient triplet based metric learning
P Kumari
Mumbai, 2021
2021
Haptic Rendering of Cultural Heritage Objects at Different Scales
S Chaudhuri
arXiv preprint arXiv:2010.03169, 2020
2020
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique
S Chaudhuri
arXiv preprint arXiv:2010.02002, 2020
2020
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Articles 1–20