Paper

  • Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images

    Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan p119361-119385 from Advances in Neural Information Processing Systems 37
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  • Geometry of naturalistic object representations in recurrent neural network models of working memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Geometry of naturalistic object representations in recurrent neural network models of working memory

    Xiaoxuan Lei, Takuya Ito, Pouya Bashivan p100604-100629 from Advances in Neural Information Processing Systems 37
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  • Geometry-Aware Adaptation for Pretrained Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Geometry-Aware Adaptation for Pretrained Models

    Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala p49628-49658 from Advances in Neural Information Processing Systems 36
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  • Geometry-aware training of factorized layers in tensor Tucker format

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Geometry-aware training of factorized layers in tensor Tucker format

    Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco p129743-129773 from Advances in Neural Information Processing Systems 37
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  • Geometry-Aware Two-Scale PIFu Representation for Human Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Geometry-Aware Two-Scale PIFu Representation for Human Reconstruction

    Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau p31130-31144 from Advances in Neural Information Processing Systems 35
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  • Geometry-Informed Neural Operator for Large-Scale 3D PDEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Geometry-Informed Neural Operator for Large-Scale 3D PDEs

    Zongyi Li, Nikola Kovachki, Chris Choy, Boyi Li, Jean Kossaifi, Shourya Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar p35836-35854 from Advances in Neural Information Processing Systems 36
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  • GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields

    Weiyi Xue, Zehan Zheng, Fan Lu, Haiyun Wei, Guang Chen, Changjun Jiang p73672-73692 from Advances in Neural Information Processing Systems 37
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  • GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies

    Takahiro Mimori, Michiaki Hamada p36591-36619 from Advances in Neural Information Processing Systems 36
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  • GeoPlant: Spatial Plant Species Prediction Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GeoPlant: Spatial Plant Species Prediction Dataset

    Lukas Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly p126653-126676 from Advances in Neural Information Processing Systems 37
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  • GEOSTAR SYSTEMS: ADVANCEMENTS IN BOREHOLE HEAT EXCHANGER TECHNOLOGY FOR URBAN HEAT TRANSITIONS - MONITORING AND FUTURE DEVELOPMENTS

    ECOS 2024

    GEOSTAR SYSTEMS: ADVANCEMENTS IN BOREHOLE HEAT EXCHANGER TECHNOLOGY FOR URBAN HEAT TRANSITIONS - MONITORING AND FUTURE DEVELOPMENTS

    Michael Rath, Timm Eicker, Holger Born, Jonas Güldenhaupt, Gregor Bussmann, Rolf Bracke p2388-2399 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising

    Hyeonsu Kim, Jeheon Woo, Seonghwan Kim, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim p46027-46040 from Advances in Neural Information Processing Systems 36
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  • GEQ: Gaussian Kernel Inspired Equilibrium Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GEQ: Gaussian Kernel Inspired Equilibrium Models

    Mingjie Li, Yisen Wang, Zhouchen Lin p38767-38785 from Advances in Neural Information Processing Systems 36
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