Paper

  • DePLM: Denoising Protein Language Models for Property Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DePLM: Denoising Protein Language Models for Property Optimization

    Huajun Chen, Keyan Ding, Xiaotong Li, Ming Qin, Zeyuan Wang, Jianhua Yao, Qiang Zhang, Yu Zhao, Xiang Zhuang p75302-75328 from Advances in Neural Information Processing Systems 37
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  • Deployable Origami-Inspired Structures for Future Space Applications: Lessons Learned from Zero-G Flight Experiment and New Developments

    International Astronautical Federation (IAF)

    Deployable Origami-Inspired Structures for Future Space Applications: Lessons Learned from Zero-G Flight Experiment and New Developments

    Augustin Gallois p1533-1538 from IAF Materials and Structures Symposium
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  • Deployable Thermally Conductive Structure for a Large Active Phased Array Antenna in CubeSats

    International Astronautical Federation (IAF)

    Deployable Thermally Conductive Structure for a Large Active Phased Array Antenna in CubeSats

    Delburg Mitchao, Hiroki Hayashi, Yasuto Narukiyo, Atsushi Shirane, Hiraku Sakamoto p847-854 from IAF Materials and Structures Symposium
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  • DEPLOYABLE WOOD STRUCTURES FOR DISASTER RELIEF AND MILITARY USE

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DEPLOYABLE WOOD STRUCTURES FOR DISASTER RELIEF AND MILITARY USE

    Jayson Leonard, Weichiang Pang, Michael Stoner, Dustin Albright p3518-3525 from World Conference on Timber Engineering (WCTE 2023)
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  • Deployment and Performance Evaluation of a Deployable Rolled-Up Composite SAR Antenna After Extended Stowage Periods

    International Astronautical Federation (IAF)

    Deployment and Performance Evaluation of a Deployable Rolled-Up Composite SAR Antenna After Extended Stowage Periods

    Annalisa Tresoldi, Conor Lambe, Geoffrey Hilton, Jason Shore, Andrew Austin, Guglielmo Aglietti p127-138 from IAF Materials and Structures Symposium
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  • Deployment and Reachability Analysis of Tendon-Actuated Structural Modules for an In-Space Assembled Segmented Reflector

    International Astronautical Federation (IAF)

    Deployment and Reachability Analysis of Tendon-Actuated Structural Modules for an In-Space Assembled Segmented Reflector

    Nate Osikowicz, Puneet Singla p129-142 from IAF Materials and Structures Symposium
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  • Deployment Mechanism Design for Atmospheric Reentry Protection Systems

    International Astronautical Federation (IAF)

    Deployment Mechanism Design for Atmospheric Reentry Protection Systems

    Pedro Alves, Manuel N. D. B. Júnior, William Silva, Cristian Vendittozzi, Artem Andrianov, Maria F. De Sousa Pimentel, Gustavo Malta, Ignazio Dimino p143-158 from IAF Materials and Structures Symposium
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  • Deployment Method of the Lunar Global Positioning Satellite Constellation on DRO in Cislunar Space

    International Astronautical Federation (IAF)

    Deployment Method of the Lunar Global Positioning Satellite Constellation on DRO in Cislunar Space

    Renyong Zhang, Chenguang Zhou p138-159 from IAF Space Exploration Symposium
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  • Deployment of a Communications Network to Explore a Lunar Cave

    International Astronautical Federation (IAF)

    Deployment of a Communications Network to Explore a Lunar Cave

    German Leon, Fernando Aguado Agelet, Marcos Arias-Acuña, Alejandro Gomez-San-Juan, Fermin Navarro-Medina, Susana Loredo, Alejandro Camanzo-Mariño, Alvaro Pendas-Recondo, Manuel Diz-Folgar, Erio Gandini, Leonardo Turchi, Francesco Sauro p1467-1471 from IAF Space Exploration Symposium
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  • DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

    Seokjin Go, Suhyun Kim, Hyunchan Moon, Cheonjun Park, Mincheol Park, Won Woo Ro, Myung Kuk Yoon p106906-106923 from Advances in Neural Information Processing Systems 37
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  • Depth Anything V2

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth Anything V2

    Jiashi Feng, Zilong Huang, Bingyi Kang, Xiaogang Xu, Lihe Yang, Hengshuang Zhao, Zhen Zhao p21875-21911 from Advances in Neural Information Processing Systems 37
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  • Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

    Yu-Lun Liu, Ning-Hsu Wang p127739-127764 from Advances in Neural Information Processing Systems 37
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