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Pradeep Kumar Jayaraman
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2020 – today
- 2024
- [j11]Shijie Bian, Daniele Grandi, Tianyang Liu, Pradeep Kumar Jayaraman, Karl D. D. Willis, Elliot Sadler, Bodia Borijin, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
:
HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design. J. Comput. Inf. Sci. Eng. 24(1) (2024) - [j10]Xiang Xu
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry. ACM Trans. Graph. 43(4): 119:1-119:14 (2024) - [i16]Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D. D. Willis, Yasutaka Furukawa:
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry. CoRR abs/2401.15563 (2024) - [i15]Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman:
Deep Generative Model for Mechanical System Configuration Design. CoRR abs/2409.06016 (2024) - [i14]Sifan Wu, Amir Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu:
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches. CoRR abs/2409.17457 (2024) - 2023
- [j9]Nigel J. W. Morris
BeNTO: Beam Network Topology Optimization. Comput. Aided Des. 156: 103439 (2023) - [j8]Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris:
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D. D. Willis, Yasutaka Furukawa:
Hierarchical Neural Coding for Controllable CAD Model Generation. ICML 2023: 38443-38461 - [i13]Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa:
Hierarchical Neural Coding for Controllable CAD Model Generation. CoRR abs/2307.00149 (2023) - [i12]Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki:
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. CoRR abs/2307.03869 (2023) - 2022
- [j7]Naimin Koh
Truncated octree and its applications. Vis. Comput. 38(4): 1167-1179 (2022) - [c11]Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CVPR 2022: 15828-15839 - [c10]Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa:
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks. ICML 2022: 24698-24724 - [c9]Massimiliano Meneghin, Ahmed H. Mahmoud, Pradeep Kumar Jayaraman, Nigel J. W. Morris:
Neon: A Multi-GPU Programming Model for Grid-based Computations. IPDPS 2022: 817-827 - [c8]Joseph George Lambourne
Reconstructing editable prismatic CAD from rounded voxel models. SIGGRAPH Asia 2022: 53:1-53:9 - [i11]Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris:
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. CoRR abs/2203.13944 (2022) - [i10]Xiang Xu
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks. CoRR abs/2207.04632 (2022) - [i9]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan:
Reconstructing editable prismatic CAD from rounded voxel models. CoRR abs/2209.01161 (2022) - 2021
- [c7]Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu:
Engineering Sketch Generation for Computer-Aided Design. CVPR Workshops 2021: 2105-2114 - [c6]Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris:
UV-Net: Learning From Boundary Representations. CVPR 2021: 11703-11712 - [c5]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A Topological Message Passing System for Solid Models. CVPR 2021: 12773-12782 - [c4]Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. ICCV 2021: 9670-9679 - [i8]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A topological message passing system for solid models. CoRR abs/2104.00706 (2021) - [i7]Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu:
Engineering Sketch Generation for Computer-Aided Design. CoRR abs/2104.09621 (2021) - [i6]Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. CoRR abs/2105.02961 (2021) - [i5]Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik:
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CoRR abs/2111.12772 (2021) - 2020
- [c3]Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng:
Parallel Point Cloud Compression Using Truncated Octree. CW 2020: 1-8 - [i4]Aditya Sanghi, Pradeep Kumar Jayaraman:
How Powerful Are Randomly Initialized Pointcloud Set Functions? CoRR abs/2003.05410 (2020) - [i3]Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel J. W. Morris:
UV-Net: Learning from Curve-Networks and Solids. CoRR abs/2006.10211 (2020) - [i2]Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis:
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. CoRR abs/2007.04525 (2020) - [i1]Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula:
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. CoRR abs/2011.11572 (2020)
2010 – 2019
- 2018
- [j6]Taro Kawasaki, Pradeep Kumar Jayaraman
An image processing approach to feature-preserving B-spline surface fairing. Comput. Aided Des. 99: 1-10 (2018) - [j5]Ryosuke Kikuchi, Sora Yoshikawa, Pradeep Kumar Jayaraman
Embedding QR codes onto B-spline surfaces for 3D printing. Comput. Aided Des. 102: 215-223 (2018) - [j4]Pradeep Kumar Jayaraman
Globally Consistent Wrinkle-Aware Shading of Line Drawings. IEEE Trans. Vis. Comput. Graph. 24(7): 2103-2117 (2018) - [c2]Pradeep Kumar Jayaraman, Jianhan Mei, Jianfei Cai
Quadtree Convolutional Neural Networks. ECCV (6) 2018: 554-569 - 2017
- [b1]Pradeep Kumar Jayaraman:
Computational design tools for cartooning. Nanyang Technological University, Singapore, 2017 - [j3]Chih-Kuo Yeh, Shi-Yang Huang, Pradeep Kumar Jayaraman, Chi-Wing Fu
Interactive High-Relief Reconstruction for Organic and Double-Sided Objects from a Photo. IEEE Trans. Vis. Comput. Graph. 23(7): 1796-1808 (2017) - 2015
- [j2]Chi-Wing Fu
Computational interlocking furniture assembly. ACM Trans. Graph. 34(4): 91:1-91:11 (2015) - [j1]Chih-Kuo Yeh, Pradeep Kumar Jayaraman, Xiaopei Liu, Chi-Wing Fu
2.5D Cartoon Hair Modeling and Manipulation. IEEE Trans. Vis. Comput. Graph. 21(3): 304-314 (2015) - 2014
- [c1]Pradeep Kumar Jayaraman, Chi-Wing Fu
Interactive Line Drawing Recognition and Vectorization with Commodity Camera. ACM Multimedia 2014: 447-456
Coauthor Index
aka: Joseph George Lambourne
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