Kenneth DeHaan

According to our database, Kenneth DeHaan authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EgoSSA: Egocentric Stereo Structure-Aware 3D Hand Reconstruction for American Sign Language Gesture Modeling.

Yongxiang Cai, Yanjun Zhu, Zhenghao Li, Taiting Lu, Kenneth DeHaan, Patrick Chen, Lijun Yin, Mahanth Gowda, Yincheng Jin

Proceedings of the 20th IEEE International Conference on Automatic Face and Gesture Recognition, 2026

2025

Enabling American Sign Language Communication Under Low Data Rates.

Panneer Selvam Santhalingam, Swann Thantsin, Ahmad Kamari, Parth H. Pathak, Kenneth DeHaan

CoRR, October, 2025

SignGlass: First-Person View Comprehensive and Generalizable ASL Translation Using Wearable Glass.

Yongxiang Cai, Taiting Lu, Zhenghao Li, Hao Zhou, Kenneth DeHaan, Xuhai Xu, Mahanth Gowda, Yincheng Jin

Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 2025

RF -ChessSIGN: Radar-enabled Human-Computer Interaction in a Real- Time Sign Language-Controlled Game.

Kenneth DeHaan, Emre Kurtoglu, Sabyasachi Biswas, Caroline Kobek Pezzarossi, Darrin J. Griffin, Chris S. Crawford, Ali Cafer Gürbüz, Evie Malaia, Abraham Glasser, Raja Kushalnagar, Sevgi Zübeyde Gürbüz

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

ASLRing: American Sign Language Recognition with Meta-Learning on Wearables.

Hao Zhou, Taiting Lu, Kenneth DeHaan, Mahanth Gowda

Proceedings of the Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2024

2023

SignQuery: A Natural User Interface and Search Engine for Sign Languages with Wearable Sensors.

Hao Zhou, Taiting Lu, Kristina Mckinnie, Joseph Palagano, Kenneth DeHaan, Mahanth Gowda

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2021

Signed Coreference Resolution.

Kayo Yin, Kenneth DeHaan, Malihe Alikhani

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language.

Amanda Cardoso Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giró-i-Nieto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language.

Amanda Cardoso Duarte, Shruti Palaskar, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giró-i-Nieto

CoRR, 2020