Or Litany
Impact in
- Computational Mechanics top 0.2%
- 3D Shape Modeling and Analysis
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
Papers in
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- 3D Shape Modeling and Analysis 33
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- Image and Signal Denoising Methods 3
- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 2
- Co-authors
- Charles R. Qi (3 shared papers)Kaiming He (1 shared paper)Alex M. Bronstein (11 shared papers)Michael M. Bronstein (6 shared papers)Emanuele Rodolà (7 shared papers)Sanja Fidler (12 shared papers)Jiatao Gu (1 shared paper)Demi Guo (1 shared paper)
- Journals
- Computer Graphics Forum (5 papers)IEEE Transactions on Image Processing (1 paper)Handbook of numerical analysis (1 paper)Computer Vision and Image Understanding (1 paper)Lecture notes in computer science (7 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Or Litany
56 papers receiving 4.4k citations
Or Litany's Hit Papers
Peers
Comparison fields: 5 of 63
- Computational Mechanics 1.8k
- Computer Vision and Pattern Recognition 979
- Automotive Engineering 134
- Control and Systems Engineering 168
- Artificial Intelligence 218
Countries citing papers authored by Or Litany
This map shows the geographic impact of Or Litany's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Or Litany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Or Litany more than expected).
Fields of papers citing papers by Or Litany
This network shows the impact of papers produced by Or Litany. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Or Litany. The network helps show where Or Litany may publish in the future.
Co-authors
The 25 scholars most cited alongside Or Litany, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Hough Voting for 3D Object Detection in Point Clouds Hit paper breakdown → | 2019 | 980 |
| 2 | PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Hit paper breakdown → | 2020 | 461 |
| 3 | Neural Fields in Visual Computing and Beyond Hit paper breakdown → | 2022 | 373 |
| 4 | 2020 | 236 | |
| 5 | Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Hit paper breakdown → | 2017 | 213 |
| 6 | GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images Hit paper breakdown → | 2022 | 168 |
| 7 | 2018 | 165 | |
| 8 | Vector Neurons: A General Framework for SO(3)-Equivariant Networks Hit paper breakdown → | 2021 | 158 |
| 9 | Mask3D: Mask Transformer for 3D Semantic Instance Segmentation Hit paper breakdown → | 2023 | 158 |
| 10 | Language-Grounded Indoor 3D Semantic Segmentation in the Wild Hit paper breakdown → | 2022 | 139 |
| 11 | 2019 | 124 | |
| 12 | 2021 | 109 | |
| 13 | 2021 | 109 | |
| 14 | 2022 | 104 | |
| 15 | 2017 | 80 | |
| 16 | 2021 | 77 | |
| 17 | 2017 | 76 | |
| 18 | 2023 | 72 | |
| 19 | 2023 | 64 | |
| 20 | 2021 | 62 |
About Or Litany
Or Litany is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Automotive Engineering, having authored 59 papers that have together received 4.5k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (33 papers), Image and Signal Denoising Methods (3 papers), Advanced Neural Network Applications (3 papers), Human Motion and Animation (2 papers), Advanced Vision and Imaging (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Computational Mechanics (1.8k citations), Computer Vision and Pattern Recognition (979 citations), Automotive Engineering (134 citations), Control and Systems Engineering (168 citations) and Artificial Intelligence (218 citations). Or Litany has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Charles R. Qi, Kaiming He, Alex M. Bronstein, Michael M. Bronstein, Emanuele Rodolà, Sanja Fidler, Jiatao Gu, Demi Guo, Saining Xie and Tal Remez. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Image Processing, Handbook of numerical analysis, Computer Vision and Image Understanding and Lecture notes in computer science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.