Pradeep Kumar Jayaraman

According to our database, Pradeep Kumar Jayaraman authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry.

Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D. D. Willis, Yasutaka Furukawa

CoRR, 2024

2023

BeNTO: Beam Network Topology Optimization.

Nigel J. W. Morris, Pradeep Kumar Jayaraman, Adrian Butscher

Comput. Aided Des., March, 2023

SolidGen: An Autoregressive Model for Direct B-rep Synthesis.

Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris

Trans. Mach. Learn. Res., 2023

Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation.

Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki

CoRR, 2023

Hierarchical Neural Coding for Controllable CAD Model Generation.

Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D. D. Willis, Yasutaka Furukawa

Proceedings of the International Conference on Machine Learning, 2023

2022

Truncated octree and its applications.

Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng

Vis. Comput., 2022

Reconstructing editable prismatic CAD from rounded voxel models.

Joseph George Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Neon: A Multi-GPU Programming Model for Grid-based Computations.

Massimiliano Meneghin, Ahmed H. Mahmoud, Pradeep Kumar Jayaraman, Nigel J. W. Morris

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks.

Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa

Proceedings of the International Conference on Machine Learning, 2022

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps.

Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Engineering Sketch Generation for Computer-Aided Design.

Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

BRepNet: A Topological Message Passing System for Solid Models.

Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UV-Net: Learning From Boundary Representations.

Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers.

Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula

CoRR, 2020

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing.

Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis

CoRR, 2020

UV-Net: Learning from Curve-Networks and Solids.

Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel J. W. Morris

CoRR, 2020

How Powerful Are Randomly Initialized Pointcloud Set Functions?

Aditya Sanghi, Pradeep Kumar Jayaraman

CoRR, 2020

Parallel Point Cloud Compression Using Truncated Octree.

Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng

Proceedings of the International Conference on Cyberworlds, 2020

2018

Globally Consistent Wrinkle-Aware Shading of Line Drawings.

Pradeep Kumar Jayaraman, Chi-Wing Fu, Jianmin Zheng, Xueting Liu, Tien-Tsin Wong

IEEE Trans. Vis. Comput. Graph., 2018

Embedding QR codes onto B-spline surfaces for 3D printing.

Ryosuke Kikuchi, Sora Yoshikawa, Pradeep Kumar Jayaraman, Jianmin Zheng, Takashi Maekawa

Comput. Aided Des., 2018

An image processing approach to feature-preserving B-spline surface fairing.

Taro Kawasaki, Pradeep Kumar Jayaraman, Kentaro Shida, Jianmin Zheng, Takashi Maekawa

Comput. Aided Des., 2018

Quadtree Convolutional Neural Networks.

Pradeep Kumar Jayaraman, Jianhan Mei, Jianfei Cai, Jianmin Zheng

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Computational design tools for cartooning

Pradeep Kumar Jayaraman

PhD thesis, 2017

Interactive High-Relief Reconstruction for Organic and Double-Sided Objects from a Photo.

Chih-Kuo Yeh, Shi-Yang Huang, Pradeep Kumar Jayaraman, Chi-Wing Fu, Tong-Yee Lee

IEEE Trans. Vis. Comput. Graph., 2017

2015

2.5D Cartoon Hair Modeling and Manipulation.

Chih-Kuo Yeh, Pradeep Kumar Jayaraman, Xiaopei Liu, Chi-Wing Fu, Tong-Yee Lee

IEEE Trans. Vis. Comput. Graph., 2015

Computational interlocking furniture assembly.

Chi-Wing Fu, Peng Song, Xiaoqi Yan, Lee Wei Yang, Pradeep Kumar Jayaraman, Daniel Cohen-Or

ACM Trans. Graph., 2015

2014

Interactive Line Drawing Recognition and Vectorization with Commodity Camera.

Pradeep Kumar Jayaraman, Chi-Wing Fu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014