Pradeep Kumar Jayaraman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Top Venues

Comput. Aided Des.

IEEE Trans. Vis. Comput. Graph.

Publications

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 (2024)
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)
Nigel J. W. Morris, Pradeep Kumar Jayaraman, Adrian Butscher
BeNTO: Beam Network Topology Optimization. Comput. Aided Des. 156 (2023)
Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa
Hierarchical Neural Coding for Controllable CAD Model Generation. CoRR (2023)
Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D. D. Willis, Yasutaka Furukawa
Hierarchical Neural Coding for Controllable CAD Model Generation. ICML (2023)
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)
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 (2023)
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)
Joseph George Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan
Reconstructing editable prismatic CAD from rounded voxel models. SIGGRAPH Asia (2022)
Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng
Truncated octree and its applications. Vis. Comput. 38 (4) (2022)
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 (2022)
Massimiliano Meneghin, Ahmed H. Mahmoud, Pradeep Kumar Jayaraman, Nigel J. W. Morris
Neon: A Multi-GPU Programming Model for Grid-based Computations. IPDPS (2022)
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 (2022)
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. CVPR (2022)
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. CoRR (2022)
Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu
Engineering Sketch Generation for Computer-Aided Design. CVPR Workshops (2021)
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)
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 (2021)
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)
Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu
Engineering Sketch Generation for Computer-Aided Design. CoRR (2021)
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 (2021)
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel Morris
UV-Net: Learning From Boundary Representations. CVPR (2021)
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 (2021)
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. CoRR (2020)
Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng
Parallel Point Cloud Compression Using Truncated Octree. CW (2020)
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 (2020)
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel Morris
UV-Net: Learning from Curve-Networks and Solids. CoRR (2020)
Aditya Sanghi, Pradeep Kumar Jayaraman
How Powerful Are Randomly Initialized Pointcloud Set Functions? CoRR (2020)
Pradeep Kumar Jayaraman, Chi-Wing Fu, Jianmin Zheng, Xueting Liu, Tien-Tsin Wong
Globally Consistent Wrinkle-Aware Shading of Line Drawings. IEEE Trans. Vis. Comput. Graph. 24 (7) (2018)
Taro Kawasaki, Pradeep Kumar Jayaraman, Kentaro Shida, Jianmin Zheng, Takashi Maekawa
An image processing approach to feature-preserving B-spline surface fairing. Comput. Aided Des. 99 (2018)
Ryosuke Kikuchi, Sora Yoshikawa, Pradeep Kumar Jayaraman, Jianmin Zheng, Takashi Maekawa
Embedding QR codes onto B-spline surfaces for 3D printing. Comput. Aided Des. 102 (2018)
Pradeep Kumar Jayaraman, Jianhan Mei, Jianfei Cai, Jianmin Zheng
Quadtree Convolutional Neural Networks. ECCV (6) (2018)
Chih-Kuo Yeh, Shi-Yang Huang, Pradeep Kumar Jayaraman, Chi-Wing Fu, Tong-Yee Lee
Interactive High-Relief Reconstruction for Organic and Double-Sided Objects from a Photo. IEEE Trans. Vis. Comput. Graph. 23 (7) (2017)
Chi-Wing Fu, Peng Song, Xiaoqi Yan, Lee Wei Yang, Pradeep Kumar Jayaraman, Daniel Cohen-Or
Computational interlocking furniture assembly. ACM Trans. Graph. 34 (4) (2015)
Chih-Kuo Yeh, Pradeep Kumar Jayaraman, Xiaopei Liu, Chi-Wing Fu, Tong-Yee Lee
2.5D Cartoon Hair Modeling and Manipulation. IEEE Trans. Vis. Comput. Graph. 21 (3) (2015)
Pradeep Kumar Jayaraman, Chi-Wing Fu
Interactive Line Drawing Recognition and Vectorization with Commodity Camera. ACM Multimedia (2014)