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D-Index & Metrics

Computer Science

D-Index
40
Citations
10052
World Ranking
9112
National Ranking
3872

Overview

Stefan Lee is affiliated with Oregon State University in the United States. Their research contributions are primarily situated within the field of computer science, encompassing a total of 79 publications. Their work covers several subfields, notably Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, and Cognitive Neuroscience.

The main topics addressed in Stefan Lee's research include:

  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • Human Pose and Action Recognition

Stefan Lee has a significant presence in multiple publication venues. The most frequent among these are:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture notes in computer science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Some recent papers authored or co-authored by Stefan Lee include:

  • THDA: Treasure Hunt Data Augmentation for Semantic Navigation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Improving Vision-and-Language Navigation with Image-Text Pairs from the Web, 2020, Lecture notes in computer science
  • Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments, 2020, Lecture notes in computer science
  • Language-Conditioned Imitation Learning for Robot Manipulation Tasks, 2020, arXiv (Cornell University)

Stefan Lee frequently collaborates with several co-authors, including:

  • Dhruv Batra
  • Arjun Majumdar
  • Devi Parikh
  • Jacob Krantz
  • Prasad Tadepalli

Best Publications

  • ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

    Jiasen Lu;Dhruv Batra;Devi Parikh;Stefan Lee

  • Graph R-CNN for Scene Graph Generation

    Jianwei Yang;Jiasen Lu;Stefan Lee;Dhruv Batra;Dhruv Batra

  • Embodied Question Answering

    Abhishek Das;Samyak Datta;Georgia Gkioxari;Stefan Lee

  • Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions

    Sven Bambach;Stefan Lee;David J. Crandall;Chen Yu

  • Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

    Ashwin K. Vijayakumar;Michael Cogswell;Ramprasaath R. Selvaraju;Qing Sun

  • 12-in-1: Multi-Task Vision and Language Representation Learning

    Jiasen Lu;Vedanuj Goswami;Marcus Rohrbach;Devi Parikh

  • Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

    Abhishek Das;Satwik Kottur;Jose M. F. Moura;Stefan Lee

  • Counterfactual Visual Explanations

    Yash Goyal;Ziyan Wu;Jan Ernst;Dhruv Batra

  • Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

    Stefan Lee;Senthil Purushwalkam;Michael Cogswell;David J. Crandall

  • nocaps: novel object captioning at scale

    Harsh Agrawal;Peter Anderson;Karan Desai;Yufei Wang

  • nocaps: novel object captioning at scale.

    Harsh Agrawal;Karan Desai;Yufei Wang;Xinlei Chen

  • Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

    Ramprasaath Ramasamy Selvaraju;Stefan Lee;Yilin Shen;Hongxia Jin

  • Diverse Beam Search for Improved Description of Complex Scenes

    Ashwin K. Vijayakumar;Michael Cogswell;Ramprasaath R. Selvaraju;Qing Sun

  • DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

    Erik Wijmans;Abhishek Kadian;Ari Morcos;Stefan Lee

  • Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

    Abhishek Kadian;Joanne Truong;Aaron Gokaslan;Alexander Clegg

  • Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog.

    Satwik Kottur;José M. F. Moura;Stefan Lee;Dhruv Batra

  • Improving Vision-and-Language Navigation with Image-Text Pairs from the Web

    Arjun Majumdar;Ayush Shrivastava;Stefan Lee;Peter Anderson

  • Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

    Jacob Krantz;Erik Wijmans;Arjun Majumdar;Dhruv Batra

  • Overcoming Language Priors in Visual Question Answering with Adversarial Regularization

    Sainandan Ramakrishnan;Aishwarya Agrawal;Stefan Lee

  • Audio Visual Scene-Aware Dialog

    Huda Alamri;Peter Anderson;Stefan Lee;Devi Parikh

Frequent Co-Authors

Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Devi Parikh
Devi Parikh Facebook (United States)
David J. Crandall
David J. Crandall Indiana University
Irfan Essa
Irfan Essa Georgia Institute of Technology
Manolis Savva
Manolis Savva Simon Fraser University
Prasad Tadepalli
Prasad Tadepalli Oregon State University
Alan Fern
Alan Fern Oregon State University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Sonia Chernova
Sonia Chernova Georgia Institute of Technology

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