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Kunal Gupta
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Neural mesh flow: 3d manifold mesh generation via diffeomorphic flows
K Gupta
University of California, San Diego, 2020
782020
Neural jacobian fields: Learning intrinsic mappings of arbitrary meshes
N Aigerman, K Gupta, VG Kim, S Chaudhuri, J Saito, T Groueix
arXiv preprint arXiv:2205.02904, 2022
252022
Adaptive gait generation for hexapod robot using genetic algorithm
A Manglik, K Gupta, S Bhanot
2016 IEEE 1st International Conference on Power Electronics, Intelligent …, 2016
182016
Octree representation improves data fidelity of cardiac CT images and convolutional neural network semantic segmentation of left atrial and ventricular chambers
K Gupta, N Sekhar, DM Vigneault, AR Scott, B Colvert, A Craine, ...
Radiology: Artificial Intelligence 3 (6), e210036, 2021
82021
DiFiR‐CT: Distance field representation to resolve motion artifacts in computed tomography
K Gupta, B Colvert, Z Chen, F Contijoch
Medical physics 50 (3), 1349-1366, 2023
6*2023
MCNeRF: Monte Carlo rendering and denoising for real-time NeRFs
K Gupta, M Hasan, Z Xu, F Luan, K Sunkavalli, X Sun, M Chandraker, S Bi
SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023
22023
Generation of differentiable, manifold meshes of arbitrary genus
K Gupta, S De Mello, C Loop, J Tremblay, ST Birchfield
US Patent 11,830,145, 2023
12023
Analysis of Q-learning on ANNs for robot control using live video feed
N Murali, K Gupta, S Bhanot
2017 IEEE International Conference on Signal and Image Processing …, 2017
12017
Generating mappings of three-dimensional meshes utilizing neural network gradient fields
N Aigerman, K Gupta, J Saito, T Groueix, V Kim, S Chaudhuri
US Patent App. 17/808,808, 2023
2023
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