Monfort, Mathew

11 publications

ECCV 2024 A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona

CVPR 2021 Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions Mathew Monfort, SouYoung Jin, Alexander Liu, David Harwath, Rogerio Feris, James Glass, Aude Oliva

ECCV 2020 We Have so Much in Common: Modeling Semantic Relational Set Abstractions in Videos Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva

CVPRW 2019 Identifying Interpretable Action Concepts in Deep Networks Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

CVPR 2019 Multi-Agent Tensor Fusion for Contextual Trajectory Prediction Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu

ICCV 2019 Reasoning About Human-Object Interactions Through Dual Attention Networks Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou

UAI 2016 Adversarial Inverse Optimal Control for General Imitation Learning Losses and Embodiment Transfer Xiangli Chen, Mathew Monfort, Brian D. Ziebart, Peter Carr

AISTATS 2016 Robust Covariate Shift Regression Xiangli Chen, Mathew Monfort, Anqi Liu, Brian D. Ziebart

IJCAI 2015 Graph-Based Inverse Optimal Control for Robot Manipulation Arunkumar Byravan, Mathew Monfort, Brian D. Ziebart, Byron Boots, Dieter Fox

AAAI 2015 Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation Mathew Monfort, Anqi Liu, Brian D. Ziebart

NeurIPS 2015 Softstar: Heuristic-Guided Probabilistic Inference Mathew Monfort, Brenden M Lake, Brenden M Lake, Brian Ziebart, Patrick Lucey, Josh Tenenbaum