| Epic-kitchens visor benchmark: Video segmentations and object relations A Darkhalil, D Shan, B Zhu, J Ma, A Kar, R Higgins, S Fidler, D Fouhey, ... Advances in Neural Information Processing Systems 35, 13745-13758, 2022 | 90 | 2022 |
| Matrix metalloproteinase-9 regulates neuronal circuit development and excitability S Murase, CL Lantz, E Kim, N Gupta, REL Higgins, M Stopfer, ... Molecular neurobiology 53 (5), 3477-3493, 2016 | 45 | 2016 |
| Network reconstruction reveals that valproic acid activates neurogenic transcriptional programs in adult brain following traumatic injury GA Higgins, P Georgoff, V Nikolian, A Allyn-Feuer, B Pauls, REL Higgins, ... Pharmaceutical research 34 (8), 1658-1672, 2017 | 27 | 2017 |
| SynthIA: a synthetic inversion approximation for the Stokes vector fusing SDO and Hinode into a virtual observatory REL Higgins, DF Fouhey, SK Antiochos, G Barnes, MCM Cheung, ... The Astrophysical Journal Supplement Series 259 (1), 24, 2022 | 16 | 2022 |
| COHESIV: Contrastive Object and Hand Embeddings for Segmentation In Video REL Higgins, D Shan, D Fouhey Advances in Neural Information Processing Systems 34, 2021 | 16* | 2021 |
| Towards a richer 2D understanding of hands at scale T Cheng, D Shan, A Hassen, R Higgins, D Fouhey Advances in Neural Information Processing Systems 36, 30453-30465, 2023 | 13 | 2023 |
| Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification REL Higgins, DF Fouhey, D Zhang, SK Antiochos, G Barnes, T Hoeksema, ... arXiv preprint arXiv:2103.17273, 2021 | 13 | 2021 |
| On Identifying and Mitigating Bias in Inferred Measurements for Solar Vector Magnetic-Field Data KD Leka, EL Wagner, AB Griñón-Marín, V Bommier, REL Higgins Solar Physics 297 (9), 121, 2022 | 8 | 2022 |
| Large-scale Spatial Cross-calibration of Hinode/SOT-SP and SDO/HMI DF Fouhey, REL Higgins, SK Antiochos, G Barnes, ML DeRosa, ... The Astrophysical Journal Supplement Series 264 (2), 49, 2023 | 6 | 2023 |
| MOVES: Manipulated Objects in Video Enable Segmentation REL Higgins, DF Fouhey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| SuperSynthIA: Physics-ready Full-disk Vector Magnetograms from HMI, Hinode, and Machine Learning R Wang, DF Fouhey, REL Higgins, SK Antiochos, G Barnes, ... The Astrophysical Journal 970 (2), 168, 2024 | | 2024 |
| Correction to: On Identifying and Mitigating Bias in Inferred Measurements for Solar Vector Magnetic-Field Data KD Leka, EL Wagner, AB Griñón-Marín, V Bommier, REL Higgins Solar Physics 297 (11), 2022 | | 2022 |
| On Measuring and Mitigating Bias in the Inferred Magnetic Field in the Helioseismic and Magnetic Imager and other Vector Magnetographs K Leka, A Grinon Marin, REL Higgins, D Fouhey American Astronomical Society Meeting Abstracts 53 (6), 213.09, 2021 | | 2021 |
| Fast Deep Learning-Based Stokes Vector Inversion with Confidence for SDO/HMI REL Higgins, D Fouhey, SK Antiochos, G Barnes, TI Gombosi, ... AGU Fall Meeting Abstracts 2020, NG004-0015, 2020 | | 2020 |
David FouheyNew York UniversityVerified email at nyu.edu
