Grauman, Kristen

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 630

VizWiz Grand Challenge: Answering Visual Questions from Blind People

Gurari, D., Li, Q., Stangl, A. J., Guo, A., Lin, C., Grauman, K., Luo, J., & Bigham, J. P. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 621

SpotTune: Transfer Learning Through Adaptive Fine-Tuning

Guo, Y., Shi, H., Kumar, A., Grauman, K., Rosing, T., & Feris, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 506

BlockDrop: Dynamic Inference Paths in Residual Networks

Wu, Z., Nagarajan, T., Kumar, A., Rennie, S., Davis, L. S., Grauman, K., & Feris, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 465

SoundSpaces: Audio-Visual Navigation in 3D Environments

Chen, C., Jain, U., Schissler, C., Gari, S. V. A., Al-Halah, Z., Ithapu, V. K., Robinson, P., & Grauman, K. (2020) · Lecture Notes in Computer Science

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 202

Communication via eye blinks and eyebrow raises: video-based human-computer interfaces

Grauman, K., Betke, M., Lombardi, J., Gips, J., & Bradski, G. R. (2003) · Universal Access in the Information Society

Gaze Tracking and Assistive TechnologyEEG and Brain-Computer Interfaces

Cited by 185

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning

Ramakrishnan, S. K., Chaplot, D. S., Al-Halah, Z., Malik, J., & Grauman, K. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 154

Grounded Human-Object Interaction Hotspots From Video

Nagarajan, T., Feichtenhofer, C., & Grauman, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Robot Manipulation and LearningHuman Pose and Action Recognition

Cited by 147

Visual Object Recognition

Grauman, K., & Leibe, B. (2011) · Synthesis Lectures on Artificial Intelligence and Machine Learning

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 126

Semantic Audio-Visual Navigation

Chen, C., Al-Halah, Z., & Grauman, K. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 96

Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion

Jayaraman, D., & Grauman, K. (2016) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Vision and Imaging

Cited by 75

BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments

Stangl, A. J., Kothari, E., Jain, S. D., Yeh, T., Grauman, K., & Gurari, D. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Digital Accessibility for DisabilitiesAssistive Technology in Communication and Mobility

Cited by 66

Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation

Al-Halah, Z., Ramakrishnan, S. K., & Grauman, K. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 58

Learning to Set Waypoints for Audio-Visual Navigation

Chen, C., Majumder, S., Al-Halah, Z., Gao, R., Ramakrishnan, S. K., & Grauman, K. (2020) · arXiv

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 53

CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question

Gurari, D., & Grauman, K. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingExpert finding and Q&A systems

Cited by 45

Learning Affordance Landscapes for Interaction Exploration in 3D Environments

Nagarajan, T., & Grauman, K. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Cho, J. H., Madotto, A., Mavroudi, E., Afouras, T., Nagarajan, T., Maaz, M., Song, Y., Ma, T., Hu, S., Jain, S., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 8

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 3