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Prakhar Jaiswal

dblp:176/7902 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
3 papers
Geometric modeling and processing · 62% Computational fabrication · 19% Image and video coding · 19%
Artificial intelligence
1 paper
Deep learning architectures and training · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
additive manufacturing		 0.412019
A geometric reasoning approach for additive manufacturing print quality assessment and automated model correction · Comput. Aided Des. 2019
Geometric modeling and processing › spatial reasoning
geometric reasoning		 0.412019
A geometric reasoning approach for additive manufacturing print quality assessment and automated model correction · Comput. Aided Des. 2019
Image and video coding › quality assessment
print quality assessment		 0.412019
A geometric reasoning approach for additive manufacturing print quality assessment and automated model correction · Comput. Aided Des. 2019
Geometric modeling and processing › feature recognition
machining feature recognition		 0.312018
FeatureNet: Machining feature recognition based on 3D Convolution Neural Network · Comput. Aided Des. 2018
Geometric modeling and processing › shape modeling › 3d object modeling
assembly-based modeling		 0.212016
Assembly-based conceptual 3D modeling with unlabeled components using probabilistic factor graph · Comput. Aided Des. 2016
Machine learning › Deep learning architectures and training › convolutional neural network › convolutional neural network architecture
3d convolutional neural network		 0.112018
FeatureNet: Machining feature recognition based on 3D Convolution Neural Network · Comput. Aided Des. 2018

Methods — techniques the papers use, named apart from their topics

3D CNN · 0.7geometric reasoning · 0.4probabilistic factor graph · 0.2
YearPublicationVenuePosition
2019 A geometric reasoning approach for additive manufacturing print quality assessment and automated model correction
Prakhar Jaiswal, Rahul Rai
 Comput. Aided Des.1
2018 FeatureNet: Machining feature recognition based on 3D Convolution Neural Network
Zhibo Zhang 0003, Prakhar Jaiswal, Rahul Rai
 Comput. Aided Des.2
2016 Assembly-based conceptual 3D modeling with unlabeled components using probabilistic factor graph
Prakhar Jaiswal, Jinmiao Huang, Rahul Rai
 Comput. Aided Des.1