• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 40 matches

• 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)
• 
  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. ACM Trans. Graph. 43(4): 119:1-119:14 (2024)
• 
  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)
• 
  Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman:
  Deep Generative Model for Mechanical System Configuration Design. CoRR abs/2409.06016 (2024)
• 
  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
• 
  Nigel J. W. Morris, Pradeep Kumar Jayaraman, Adrian Butscher:
  BeNTO: Beam Network Topology Optimization. Comput. Aided Des. 156: 103439 (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)
• 
  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
• 
  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)
• 
  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
• 
  Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng:
  Truncated octree and its applications. Vis. Comput. 38(4): 1167-1179 (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: 15828-15839
• 
  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
• 
  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
• 
  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: 53:1-53:9
• 
  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)
• 
  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 abs/2207.04632 (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 abs/2209.01161 (2022)
• 2021
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  Naimin Koh, Pradeep Kumar Jayaraman, Jianmin Zheng:
  Parallel Point Cloud Compression Using Truncated Octree. CW 2020: 1-8
• 
  Aditya Sanghi, Pradeep Kumar Jayaraman:
  How Powerful Are Randomly Initialized Pointcloud Set Functions? CoRR abs/2003.05410 (2020)
• 
  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)
• 
  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)

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