Symmetry reCAPTCHA. - Christopher Funk; Yanxi Liu 001 (CVPR, 2016)

Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild. - Christopher Funk; Yanxi Liu 001 (ICCV, 2017)

2017 ICCV Challenge: Detecting Symmetry in the Wild. - Christopher Funk; Seungkyu Lee 001; Martin R. Oswald; Stavros Tsogkas; Wei Shen; Andrea Cohen; Sven J. Dickinson; Yanxi Liu 001 (ICCV Workshops, 2017)

4D Model-Based Spatiotemporal Alignment of Scripted Taiji Quan Sequences. - Jesse Scott; Robert T. Collins; Christopher Funk; Yanxi Liu 001 (ICCV Workshops, 2017)

Fractional Extended and Unscented Kalman Filtering for State of Charge Estimation of Lithium-Ion Batteries. - Martin Kupper; Christopher Funk; Marius Eckert; Sören Hohmann (ACC, 2018)

Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics. - Savinay Nagendra; Christopher Funk; Robert T. Collins; Yanxi Liu 001 (CoRR, 2018)

From Image to Stability: Learning Dynamics from Human Pose. - Jesse Scott; Bharadwaj Ravichandran; Christopher Funk; Robert T. Collins; Yanxi Liu 001 (ECCV (23), 2020)

Conservative Quantization of Fast Covariance Intersection. - Christopher Funk; Benjamin Noack; Uwe D. Hanebeck (MFI, 2020)

From Kinematics To Dynamics: Estimating Center of Pressure and Base of Support from Video Frames of Human Motion. - Jesse Scott; Christopher Funk; Bharadwaj Ravichandran; John H. Challis; Robert T. Collins; Yanxi Liu 001 (CoRR, 2020)

Kalman Filtered Compressive Sensing Using Pseudo-Measurements. - Haibin Zhao; Christopher Funk; Benjamin Noack; Uwe D. Hanebeck; Michael Beigl (MFI, 2021)

Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion. - Christopher Funk; Benjamin Noack; Uwe D. Hanebeck (Sensors, 2021)

Cascade Transformers for End-to-End Person Search. - Rui Yu 002; Dawei Du; Rodney LaLonde; Daniel Davila; Christopher Funk; Anthony Hoogs; Brian Clipp (CVPR, 2022)

Novelty Detection in Remote Sensing Imagery. - Dawei Du; Christopher Funk; Anthony Hoogs (IGARSS, 2022)

1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). - Chen Zhao 010; Feng Chen 001; Xintao Wu; Christopher Funk; Anthony Hoogs (KDD, 2022)

Graduated Moving Window Optimization as a Flexible Framework for Multi-Object Tracking. - Christopher Funk; Benjamin Noack (ACC, 2023)

Open Set Action Recognition via Multi-Label Evidential Learning. - Chen Zhao 010; Dawei Du; Anthony Hoogs; Christopher Funk (CVPR, 2023)

Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers. - Christopher Funk; Benjamin Noack (FUSION, 2023)

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. - Colorado J. Reed; Ritwik Gupta; Shufan Li; Sarah Brockman; Christopher Funk; Brian Clipp; Kurt Keutzer; Salvatore Candido; Matt Uyttendaele; Trevor Darrell (ICCV, 2023)

Novel Object Detection in Remote Sensing Imagery. - Dawei Du; Christopher Funk; Katarina Doctor; Anthony Hoogs (IGARSS, 2023)

MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification. - Daniel Davila; Dawei Du; Bryon Lewis; Christopher Funk; Joseph Van Pelt; Roderic Collins; Kellie Corona; Matt S. Brown; Scott McCloskey; Anthony Hoogs; Brian Clipp (WACV, 2023)

Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition. - Dawei Du; Ameya Shringi; Anthony Hoogs; Christopher Funk (WACV, 2023)

EscherNet 101. - Christopher Funk; Yanxi Liu 001 (CoRR, 2023)

Exploiting Structure for Optimal Multi-Agent Bayesian Decentralized Estimation. - Christopher Funk; Ofer Dagan; Benjamin Noack; Nisar R. Ahmed (CoRR, 2023)

Conservative Compression of Information Matrices using Event-Triggering and Robust Optimization. - Christopher Funk; Benjamin Noack (FUSION, 2024)

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain. - Brian Hu 001; Bill Ray; Alice Leung; Amy Summerville; David Joy; Christopher Funk; Arslan Basharat (NAACL (Industry Track), 2024)

LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning. - Bharadwaj Ravichandran; Alexander Lynch; Sarah Brockman; Brandon RichardWebster; Dawei Du; Anthony Hoogs; Christopher Funk (CoRR, 2024)

Human Activity Recognition in an Open World. - Derek S. Prijatelj; Samuel Grieggs; Jin Huang; Dawei Du; Ameya Shringi; Christopher Funk; Adam Kaufman; Eric Robertson 001; Walter J. Scheirer (J. Artif. Intell. Res., 2024)

Open issues in open world learning. - Steve Cruz; Katarina Doctor; Christopher Funk; Walter J. Scheirer (AI Mag., 2025)

An Event-Based Approach for the Conservative Compression of Covariance Matrices. - Christopher Funk; Benjamin Noack (IEEE Trans. Autom. Control., 2025)

ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making. - Bharadwaj Ravichandran; David Joy; Paul Elliott; Brian Hu 001; Jadie Adams; Christopher Funk; Emily Veenhuis; Anthony Hoogs; Arslan Basharat (CoRR, 2025)