Chen, Brian

9 publications

WACV 2025 User-in-the-Loop Evaluation of Multimodal LLMs for Activity Assistance Mrinal Verghese, Brian Chen, Hamid Eghbalzadeh, Tushar Nagarajan, Ruta P Desai

TMLR 2024 Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning Brian Chen, Doruk Aksoy, David J Gorsich, Shravan Veerapaneni, Alex Gorodetsky

CVPR 2024 What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogerio Feris, James Glass, Hilde Kuehne

ICCV 2023 EgoTV: Egocentric Task Verification from Natural Language Task Descriptions Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai

WACV 2023 PreViTS: Contrastive Pretraining with Video Tracking Supervision Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik

CVPR 2022 Everything at Once - Multi-Modal Fusion Transformer for Video Retrieval Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogerio S. Feris, David Harwath, James Glass, Hilde Kuehne

MLHC 2021 Detecting Atrial Fibrillation in ICU Telemetry Data with Weak Labels Brian Chen, Golara Javadi, Amoon Jamzad, Alexander Hamilton, Stephanie Sibley, Purang Abolmaesumi, David Maslove, Parvin Mousavi

ICCV 2021 Multimodal Clustering Networks for Self-Supervised Learning from Unlabeled Videos Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie Boggust, Rameswar Panda, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang

AAAI 2020 General Partial Label Learning via Dual Bipartite Graph Autoencoder Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang