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ORCIDAkshay Gadi Patil
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2020 – today
- 2024
[j3]Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li
, Matthew Fisher, Manolis Savva, Hao Zhang:
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. Comput. Graph. Forum 43(1) (2024)- [c7]Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang:
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images. ECCV (34) 2024: 111-127 - 2023
- [c6]Aditya Vora, Akshay Gadi Patil, Hao Zhang:
DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization. NeurIPS 2023 - [i9]Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang:
Coarse-to-Fine Active Segmentation of Interactable Parts in Real Scene Images. CoRR abs/2303.11530 (2023) - [i8]Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. CoRR abs/2304.03188 (2023) - [i7]Akshay Gadi Patil, Yiming Qian, Shan Yang, Brian Jackson, Eric P. Bennett, Hao Zhang:
RoSI: Recovering 3D Shape Interiors from Few Articulation Images. CoRR abs/2304.06342 (2023) - [i6]Aditya Vora, Akshay Gadi Patil, Hao Zhang:
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization. CoRR abs/2306.04699 (2023) - 2021
- [c5]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CVPR 2021: 11048-11057 - 2020
- [c4]Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor:
READ: Recursive Autoencoders for Document Layout Generation. CVPR Workshops 2020: 2316-2325 - [c3]Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao (Richard) Zhang:
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction. ECCV (21) 2020: 295-311 - [i5]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CoRR abs/2012.06547 (2020)
2010 – 2019
- 2019
- [j2]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. ACM Trans. Graph. 38(2): 12:1-12:16 (2019) - [i4]Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor:
READ: Recursive Autoencoders for Document Layout Generation. CoRR abs/1909.00302 (2019) - [i3]Jiongchao Jin, Akshay Gadi Patil, Hao (Richard) Zhang:
DR-KFD: A Differentiable Visual Metric for 3D Shape Reconstruction. CoRR abs/1911.09204 (2019) - 2018
- [j1]Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas J. Guibas, Hao Zhang:
Language-driven synthesis of 3D scenes from scene databases. ACM Trans. Graph. 37(6): 212 (2018) - [i2]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. CoRR abs/1807.09193 (2018) - 2016
- [c2]Akshay Gadi Patil, Shanmuganathan Raman:
Tone Mapping HDR Images Using Local Texture and Brightness Measures. CVIP (1) 2016: 443-452 - [c1]Akshay Gadi Patil, Shanmuganathan Raman:
Automatic Content-Aware Non-photorealistic Rendering of Images. ISVC (1) 2016: 101-112 - [i1]Akshay Gadi Patil, Shanmuganathan Raman:
Automatic Content-aware Non-Photorealistic Rendering of Images. CoRR abs/1604.01962 (2016)
Coauthor Index
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