Author of the publication

Robots That Can See: Leveraging Human Pose for Trajectory Prediction.

, , , , , and . IEEE Robotics Autom. Lett., 8 (11): 7090-7097 (November 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks., , , , and . ICASSP, page 4704-4708. IEEE, (2015)Query-by-example Spoken Term Detection For OOV terms., , and . ASRU, page 404-409. IEEE, (2009)Barkour: Benchmarking Animal-level Agility with Quadruped Robots., , , , , , , , , and 34 other author(s). CoRR, (2023)RT-1: Robotics Transformer for Real-World Control at Scale., , , , , , , , , and 41 other author(s). CoRR, (2022)Toward the Ultimate ASR Language Model., and . TSD, volume 5246 of Lecture Notes in Computer Science, page 15. Springer, (2008)Robots That Can See: Leveraging Human Pose for Trajectory Prediction., , , , , and . IEEE Robotics Autom. Lett., 8 (11): 7090-7097 (November 2023)Keyword spotting for Google assistant using contextual speech recognition., , , , and . ASRU, page 272-278. IEEE, (2017)Compressing deep neural networks using a rank-constrained topology., , , and . INTERSPEECH, page 1473-1477. ISCA, (2015)Locally-connected and convolutional neural networks for small footprint speaker recognition., , , , , and . INTERSPEECH, page 1136-1140. ISCA, (2015)What Do Foundation Models have to Do With and For HRI?. HRI, page 2. ACM, (2024)