Jonathan Ho
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Robotic Path Planning Algorithms
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Image and Signal Denoising Methods
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- Robot Manipulation and Learning
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
- Robotic Path Planning Algorithms 2
- Advanced Image Processing Techniques 1
- Video Surveillance and Tracking Methods 1
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- Domain Adaptation and Few-Shot Learning 2
- Reinforcement Learning in Robotics 2
- Gaussian Processes and Bayesian Inference 1
- Target Tracking and Data Fusion in Sensor Networks 1
- Co-authors
- Tim Salimans (6 shared papers)William Chan (4 shared papers)Chitwan Saharia (3 shared papers)David J. Fleet (3 shared papers)Mohammad Norouzi (2 shared papers)Pieter Abbeel (5 shared papers)John Schulman (4 shared papers)Huiwen Chang (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)The International Journal of Robotics Research (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Jonathan Ho
12 papers receiving 4.1k citations
Jonathan Ho's Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 2.7k
- Control and Systems Engineering 686
- Media Technology 148
- Artificial Intelligence 494
- Computer Graphics and Computer-Aided Design 50
Countries citing papers authored by Jonathan Ho
This map shows the geographic impact of Jonathan Ho'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 Jonathan Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Ho more than expected).
Fields of papers citing papers by Jonathan Ho
This network shows the impact of papers produced by Jonathan Ho. 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 Jonathan Ho. The network helps show where Jonathan Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Image Super-Resolution Via Iterative Refinement Hit paper breakdown → | 2022 | 1317 |
| 2 | Palette: Image-to-Image Diffusion Models Hit paper breakdown → | 2022 | 1165 |
| 3 | Motion planning with sequential convex optimization and convex collision checking Hit paper breakdown → | 2014 | 668 |
| 4 | Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization Hit paper breakdown → | 2013 | 347 |
| 5 | On Distillation of Guided Diffusion Models Hit paper breakdown → | 2023 | 199 |
| 6 | One-Shot Imitation Learning | 2017 | 139 |
| 7 | 2013 | 134 | |
| 8 | 2022 | 94 | |
| 9 | 2016 | 89 | |
| 10 | 2022 | 33 | |
| 11 | Importance weighted compression | 2021 | 1 |
| 12 | On Density Estimation with Diffusion Models | 2021 | 1 |
About Jonathan Ho
Jonathan Ho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Nuclear Energy and Engineering, having authored 12 papers that have together received 4.2k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Image Processing Techniques (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Video Surveillance and Tracking Methods (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Control and Systems Engineering (686 citations), Media Technology (148 citations), Artificial Intelligence (494 citations) and Computer Graphics and Computer-Aided Design (50 citations). Jonathan Ho has collaborated with scholars based in United States and Germany. Frequent co-authors include Tim Salimans, William Chan, Chitwan Saharia, David J. Fleet, Mohammad Norouzi, Pieter Abbeel, John Schulman, Huiwen Chang, Chris Lee and Ibrahim Awwal. Their work appears in journals such as Springer tracts in advanced robotics, The International Journal of Robotics Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and International Conference on Learning Representations.
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.