Interactive Line Drawing Recognition and Vectorization with Commodity Camera. - Pradeep Kumar Jayaraman; Chi-Wing Fu (ACM Multimedia, 2014)

Computational interlocking furniture assembly. - Chi-Wing Fu; Peng Song 001; Xiaoqi Yan; Lee Wei Yang; Pradeep Kumar Jayaraman; Daniel Cohen-Or (ACM Trans. Graph., 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)

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)

Computational design tools for cartooning - Pradeep Kumar Jayaraman (2017)

Quadtree Convolutional Neural Networks. - Pradeep Kumar Jayaraman; Jianhan Mei; Jianfei Cai 001; Jianmin Zheng (ECCV (6), 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)

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)

Globally Consistent Wrinkle-Aware Shading of Line Drawings. - Pradeep Kumar Jayaraman; Chi-Wing Fu; Jianmin Zheng; Xueting Liu 001; Tien-Tsin Wong (IEEE Trans. Vis. Comput. Graph., 2018)

Parallel Point Cloud Compression Using Truncated Octree. - Naimin Koh; Pradeep Kumar Jayaraman; Jianmin Zheng (CW, 2020)

How Powerful Are Randomly Initialized Pointcloud Set Functions? - Aditya Sanghi; Pradeep Kumar Jayaraman (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)

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)

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. - Saeid Asgari Taghanaki; Jieliang Luo; Ran Zhang; Ye Wang 008; Pradeep Kumar Jayaraman; Krishna Murthy Jatavallabhula (CoRR, 2020)

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 (CVPR, 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 (CVPR, 2021)

Engineering Sketch Generation for Computer-Aided Design. - Karl D. D. Willis; Pradeep Kumar Jayaraman; Joseph G. Lambourne; Hang Chu; Yewen Pu (CVPR Workshops, 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 (ICCV, 2021)

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. - Karl D. D. Willis; Pradeep Kumar Jayaraman; Hang Chu; Yunsheng Tian; Yifei Li 002; Daniele Grandi; Aditya Sanghi; Linh Tran; Joseph G. Lambourne; Armando Solar-Lezama; Wojciech Matusik (CVPR, 2022)

SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks. - Xiang Xu 008; Karl D. D. Willis; Joseph G. Lambourne; Chin-Yi Cheng; Pradeep Kumar Jayaraman; Yasutaka Furukawa (ICML, 2022)

Neon: A Multi-GPU Programming Model for Grid-based Computations. - Massimiliano Meneghin; Ahmed H. Mahmoud; Pradeep Kumar Jayaraman; Nigel J. W. Morris (IPDPS, 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 (SIGGRAPH Asia, 2022)

Truncated octree and its applications. - Naimin Koh; Pradeep Kumar Jayaraman; Jianmin Zheng (Vis. Comput., 2022)

Hierarchical Neural Coding for Controllable CAD Model Generation. - Xiang Xu 008; Pradeep Kumar Jayaraman; Joseph George Lambourne; Karl D. D. Willis; Yasutaka Furukawa (ICML, 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)

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)

BeNTO: Beam Network Topology Optimization. - Nigel J. W. Morris; Pradeep Kumar Jayaraman; Adrian Butscher (Comput. Aided Des., 2023)

CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches. - Sifan Wu 003; Amir Hosein Khasahmadi; Mor Katz; Pradeep Kumar Jayaraman; Yewen Pu; Karl D. D. Willis; Bang Liu (ECCV (70), 2024)

3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes. - Tejaswini Medi; Arianna Rampini; Pradyumna Reddy; Pradeep Kumar Jayaraman; Margret Keuper (CoRR, 2024)

HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design. - 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 (J. Comput. Inf. Sci. Eng., 2024)

BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry. - Xiang Xu 008; Joseph G. Lambourne; Pradeep Kumar Jayaraman; Zhengqing Wang; Karl D. D. Willis; Yasutaka Furukawa (ACM Trans. Graph., 2024)

Deep Generative Model for Mechanical System Configuration Design. - Yasaman Etesam; Hyunmin Cheong; Mohammadmehdi Ataei; Pradeep Kumar Jayaraman (AAAI, 2025)

Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method. - Mehran Ebrahimi; Hyunmin Cheong; Pradeep Kumar Jayaraman; Farhad Javid (CoRR, 2025)

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration. - Hyunmin Cheong; Mohammadmehdi Ataei; Amir Hosein Khasahmadi; Pradeep Kumar Jayaraman (CoRR, 2025)

Aligning Constraint Generation with Design Intent in Parametric CAD. - Evan Casey; Tianyu Zhang; Shu Ishida; John Roger Thompson; Amir Khasahmadi; Joseph George Lambourne; Pradeep Kumar Jayaraman; Karl D. D. Willis (CoRR, 2025)

MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation. - Diana Bolanos; Mohammadmehdi Ataei; Pradeep Kumar Jayaraman (CoRR, 2025)