Stefan Lee

8.1k total citations · 2 hit papers
38 papers, 1.8k citations indexed

About

Stefan Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Stefan Lee has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Stefan Lee's work include Multimodal Machine Learning Applications (26 papers), Topic Modeling (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Stefan Lee is often cited by papers focused on Multimodal Machine Learning Applications (26 papers), Topic Modeling (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Stefan Lee collaborates with scholars based in United States, Israel and India. Stefan Lee's co-authors include Dhruv Batra, Devi Parikh, Jiasen Lu, David Crandall, Abhishek Das, Sven Bambach, Yu Chen, Marcus Rohrbach, Vedanuj Goswami and José M. F. Moura and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Neurotrauma.

In The Last Decade

Stefan Lee

36 papers receiving 1.7k citations

Hit Papers

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Repres... 2019 2026 2021 2023 2019 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
    2019 359 citations Jiasen Lu, Dhruv Batra et al. Neural Information Processing Systems profile →
  2. 12-in-1: Multi-Task Vision and Language Representation Learning
    2020 244 citations Jiasen Lu, Devi Parikh et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Lee United States 18 1.4k 1.1k 186 96 86 38 1.8k
Minh Hoai United States 21 1.2k 0.9× 490 0.5× 153 0.8× 50 0.5× 23 0.3× 60 1.5k
Junho Yim South Korea 7 1.4k 1.0× 797 0.8× 72 0.4× 34 0.4× 51 0.6× 12 1.9k
Shayok Chakraborty United States 16 1.0k 0.8× 1.5k 1.4× 36 0.2× 36 0.4× 17 0.2× 60 2.0k
Haoxiang Li China 14 1.1k 0.8× 283 0.3× 59 0.3× 36 0.4× 65 0.8× 45 1.6k
Xi Peng United States 16 598 0.4× 307 0.3× 88 0.5× 57 0.6× 37 0.4× 41 984
L. Zhao United States 15 577 0.4× 367 0.3× 59 0.3× 33 0.3× 40 0.5× 41 996
Guee-Sang Lee South Korea 19 981 0.7× 276 0.3× 178 1.0× 43 0.4× 29 0.3× 185 1.6k
Wayne Wu China 20 1.5k 1.1× 314 0.3× 109 0.6× 218 2.3× 33 0.4× 41 1.8k

Countries citing papers authored by Stefan Lee

Since Specialization
Citations

This map shows the geographic impact of Stefan Lee'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 Stefan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Lee more than expected).

Fields of papers citing papers by Stefan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Lee. 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 Stefan Lee. The network helps show where Stefan Lee may publish in the future.

Co-authorship network of co-authors of Stefan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Lee. A scholar is included among the top collaborators of Stefan Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Lee. Stefan Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Stefan, et al.. (2025). Towards Scalable Schema Mapping using Large Language Models. PDXScholar (Portland State University). 12–15.
2.
Peri, Skand Vishwanath, et al.. (2024). Point Cloud Models Improve Visual Robustness in Robotic Learners. 17529–17536. 1 indexed citations
3.
Wu, Zhonghua, et al.. (2024). Viewpoint-Aware Visual Grounding in 3D Scenes. 14056–14065. 5 indexed citations
4.
5.
Lee, Stefan, et al.. (2024). Benchmarking Out-of-Distribution Detection in Visual Question Answering. 5473–5483. 3 indexed citations
6.
Kahng, Minsuk, et al.. (2023). VLSlice: Interactive Vision-and-Language Slice Discovery. 15245–15255. 2 indexed citations
7.
Majumdar, Arjun, et al.. (2021). SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. arXiv (Cornell University). 34. 3 indexed citations
8.
Lee, Stefan, et al.. (2021). Auxiliary Tasks for Efficient Learning of Point-Goal Navigation. 717–725. 4 indexed citations
9.
Cartillier, Vincent, Zhile Ren, Neha Jain, et al.. (2021). Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 964–972. 41 indexed citations
10.
Stepputtis, Simon, et al.. (2020). Language-Conditioned Imitation Learning for Robot Manipulation Tasks. neural information processing systems. 33. 13139–13150. 38 indexed citations
11.
Anderson, Peter, Ayush Shrivastava, Devi Parikh, Dhruv Batra, & Stefan Lee. (2019). Chasing Ghosts: Instruction Following as Bayesian State Tracking. arXiv (Cornell University). 32. 369–379. 10 indexed citations
12.
Das, Abhishek, Satwik Kottur, Khushi Gupta, et al.. (2019). Visual Dialog. IEEE Transactions on Pattern Analysis and Machine Intelligence. 12 indexed citations
13.
Lu, Jiasen, Dhruv Batra, Devi Parikh, & Stefan Lee. (2019). ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. Neural Information Processing Systems. 32. 13–23. 359 indexed citations breakdown →
14.
Wijmans, Erik, Abhishek Kadian, Ari S. Morcos, et al.. (2019). Decentralized Distributed PPO: Solving PointGoal Navigation. arXiv (Cornell University). 8 indexed citations
15.
Kalyan, Ashwin, Stefan Lee, Anitha Kannan, & Dhruv Batra. (2018). Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. International Conference on Machine Learning. 2449–2458. 1 indexed citations
16.
Das, Abhishek, Satwik Kottur, Khushi Gupta, et al.. (2018). Visual Dialog. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(5). 1242–1256. 27 indexed citations
17.
Sun, Qing, Stefan Lee, & Dhruv Batra. (2017). Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning. 7215–7223. 20 indexed citations
18.
Jain, Deshraj, et al.. (2017). Evaluating Visual Conversational Agents via Cooperative Human-AI Games. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 2–10. 23 indexed citations
19.
Bambach, Sven, Stefan Lee, David Crandall, & Yu Chen. (2015). Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. PubMed. 2015. 1949–1957. 244 indexed citations
20.
Obenaus, André, Michael Robbins, Nicholas R. Galloway, et al.. (2007). Multi-Modal Magnetic Resonance Imaging Alterations in Two Rat Models of Mild Neurotrauma. Journal of Neurotrauma. 24(7). 1147–1160. 57 indexed citations

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.

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