Temporal Data Alignment
Temporal Data Alignment is a computational methodology that integrates multi-omics datasets across staggered time points by synchronizing dynamic biological profiles to a common temporal framework, thereby enabling the inference of coordinated molecular changes over time.
48
Publications
2K
Citations
188
Authors
89
Institutions
Publications per year
2017–2026
18
48
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling et al. · 2023 · 583 citations
35 kW coherently combined ultrafast fiber laser
Optics Letters · 2018 · 106 citations · Full text
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos
De-An Huang, Shyamal Buch, Lucio M. Dery et al. · 2018 · 97 citations
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Imperial College London
London, United Kingdom
3 h-index
9 publications
295 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
58 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
122 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
4 publications
80 citations

University of Twente
Enschede, The Netherlands
1 h-index
1 publications
53 citations
California Institute of Technology
Pasadena, United States
1 h-index
5 publications
90 citations
Technical University of Munich
Munich, Germany
1 h-index
3 publications
45 citations

Westmead Hospital
Sydney, Australia
1 h-index
1 publications
70 citations
1–8 of 89
Repository · 3 publications · 52 citations
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TPAMI · 2 publications · 67 citations
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JSLHR · 1 publications · 27 citations
1
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1 publications · 37 citations
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1 publications · 47 citations
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