Matt Uyttendaele

18 papers A* 4Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Rotationally Invariant Latent Distances for Uncertainty Estimation of Relaxed Energy Predictions by Graph Neural Network Potentials.
CoRR
Joseph Musielewicz, Janice Lan, Matt Uyttendaele, John R. Kitchin
2023 A* conf
A Practical Stereo Depth System for Smart Glasses.
CVPR
Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele
2023 A* conf
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.
ICCV
Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell
2023 J jnl
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture.
CoRR
Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary W. Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl
2022 J jnl
A Practical Stereo Depth System for Smart Glasses.
CoRR
Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele
2022 J jnl
AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning.
CoRR
Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi
2022 J jnl
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.
CoRR
Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell
2019 A* conf
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.
CVPR
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
2018 J jnl
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation.
CoRR
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
2018 — conf
Deep Burst Denoising.
ECCV (15)
Clément Godard, Kevin Matzen, Matt Uyttendaele
2017 J jnl
Deep Burst Denoising.
CoRR
Clément Godard, Kevin Matzen, Matt Uyttendaele
2015 J jnl
Real-time hyperlapse creation via optimal frame selection.
ACM Trans. Graph.
Neel Joshi, Wolf Kienzle, Mike Toelle, Matt Uyttendaele, Michael F. Cohen
2015 J jnl
Real-time monocular image-based 6-DoF localization.
Int. J. Robotics Res.
Hyon Lim, Sudipta N. Sinha, Michael F. Cohen, Matt Uyttendaele, H. Jin Kim
2014 J jnl
Fast burst images denoising.
ACM Trans. Graph.
Ziwei Liu, Lu Yuan, Xiaoou Tang, Matt Uyttendaele, Jian Sun
2014 — conf
Making the GigaPixelArtZoom.
SIGGRAPH Studio
Michael F. Cohen, Matt Uyttendaele, Eric Stolnitz
2014 — conf
Making the GigaPixelArtZoom.
SIGGRAPH Studio
Michael F. Cohen, Matt Uyttendaele, Eric Stolnitz
2014 A* conf
Mining text snippets for images on the web.
KDD
Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang
2012 — conf
Video enhanced gigapixel panoramas.
SIGGRAPH Asia Technical Briefs
Sören Pirk, Michael F. Cohen, Oliver Deussen, Matt Uyttendaele, Johannes Kopf