Stabilized Annotations for Mobile Remote Assistance. - Omid Fakourfar; Kevin Ta; Richard Tang; Scott Bateman; Anthony Tang 001 (CHI, 2016)

Improvising with an Audience-Controlled Robot Performer. - Claire Mikalauskas; Tiffany Wun; Kevin Ta; Joshua Horacsek; Lora Oehlberg (Conference on Designing Interactive Systems, 2018)

Bod-IDE: An Augmented Reality Sandbox for eFashion Garments. - Kevin Ta; Ehud Sharlin; Lora Oehlberg (Conference on Designing Interactive Systems (Companion Volume), 2018)

RIPT: Improvising with an Audience-Sourced Performance Robot. - Tiffany Wun; Claire Mikalauskas; Kevin Ta; Joshua Horacsek; Lora Oehlberg (Conference on Designing Interactive Systems (Companion Volume), 2018)

Demo hour. - Frederik Højlund Westergård; Jonathan Komang-Sønderbek; Malthe Emil Blichfeldt; Jonas Fritsch; Tiffany Wun; Claire Mikalauskas; Kevin Ta; Joshua Horacsek; Lora Oehlberg; Daisuke Uriu; William Odom; Mei-Kei Lai; et al. (Interactions, 2019)

Development of A Learning-Based Terrain Classification Framework for Pushrim-Activated Power-Assisted Wheelchairs*. - Mahsa Khalili; Keenan T. McConkey; Kevin Ta; Lyndia C. Wu; Hendrik F. Machiel Van der Loos; Jaimie F. Borisoff (EMBC, 2020)

Offline and Real-Time Implementation of a Terrain Classification Pipeline for Pushrim-Activated Power-Assisted Wheelchairs. - Mahsa Khalili; Kevin Ta; H. F. Machiel Van der Loos; Jaimie F. Borisoff (EMBC, 2021)

Offline and Real-Time Implementation of a Personalized Wheelchair User Intention Detection Pipeline: A Case Study*. - Mahsa Khalili; Kevin Ta; Jaimie F. Borisoff; Hendrik F. Machiel Van der Loos (RO-MAN, 2021)

ATTENTIV: Instrumented Peripheral Catheter for the Detection of Catheter Dislodgement in IV Infiltration. - Jessica Y. Bo; Kevin Ta; Rio Nishida; Gordon Yeh; Vivian W. L. Tsang; Megan Bolton; Manon Ranger; Konrad Walus (EMBC, 2022)

Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. - Kevin Ta; David Brüggemann; Tim Brödermann; Christos Sakaridis; Luc Van Gool (CoRR, 2022)

UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. - Erik Sandström; Kevin Ta; Luc Van Gool; Martin R. Oswald (ICCV (Workshops), 2023)

L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. - Kevin Ta; David Brüggemann; Tim Brödermann; Christos Sakaridis; Luc Van Gool (ICRA, 2023)

MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty. - Tim Brödermann; David Brüggemann; Christos Sakaridis; Kevin Ta; Odysseas Liagouris; Jason Corkill; Luc Van Gool (ECCV (59), 2024)

UniCal: Unified Neural Sensor Calibration. - Ze Yang 003; George Chen; Haowei Zhang; Kevin Ta; Ioan Andrei Bârsan; Daniel Murphy; Sivabalan Manivasagam; Raquel Urtasun (ECCV (36), 2024)

Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL. - Kevin Ta; Patrick Foley; Mattson Thieme; Abhishek Pandey; Prashant Shah (CoRR, 2025)