no code implementations • 21 Feb 2024 • Justin Lidard, Haimin Hu, Asher Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan DeCastro, Deepak Gopinath, Guy Rosman, Naomi Leonard, María Santos, Jaime Fernández Fisac
As intelligent robots like autonomous vehicles become increasingly deployed in the presence of people, the extent to which these systems should leverage model-based game-theoretic planners versus data-driven policies for safe, interaction-aware motion planning remains an open question.
1 code implementation • CVPR 2023 • Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Deepak Gopinath, Jiajun Wu, Alexander Clegg, C. Karen Liu
Leveraging our dataset, the model learns to use ego-centric scene information to achieve nontrivial reaching tasks in the context of complex 3D scenes.
1 code implementation • 26 Oct 2022 • Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier
Starting with a learned joint latent space, we separately train a generative model of demonstration sequences and an accompanying low-level policy.
1 code implementation • 29 Mar 2022 • Yifeng Jiang, Yuting Ye, Deepak Gopinath, Jungdam Won, Alexander W. Winkler, C. Karen Liu
Real-time human motion reconstruction from a sparse set of (e. g. six) wearable IMUs provides a non-intrusive and economic approach to motion capture.
1 code implementation • 16 Oct 2021 • Deepak Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John Leonard
Our model takes as input scene information in the form of a video and noisy gaze estimates, and outputs visual saliency, a refined gaze estimate, and an estimate of the person's attended awareness.
no code implementations • 9 Oct 2021 • Jongmin M. Lee, Temesgen Gebrekristos, Dalia De Santis, Mahdieh Nejati-Javaremi, Deepak Gopinath, Biraj Parikh, Ferdinando A. Mussa-Ivaldi, Brenna D. Argall
Human body motions can be captured as a high-dimensional continuous signal using motion sensor technologies.
2 code implementations • 4 Jul 2020 • Deepak Gopinath, Mahdieh Nejati Javaremi, Brenna D. Argall
We present an assistance system that reasons about a human's intended actions during robot teleoperation in order to provide appropriate corrections for unintended behavior.
no code implementations • EMNLP (IWSLT) 2019 • Juan Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath
In this work, we evaluate several data augmentation and pretraining approaches for AST, by comparing all on the same datasets.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4