Paper

  • SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions

    Andrew Clark, Sicun Gao, Zhizhen Qin, Hongchao Zhang p101367-101392 from Advances in Neural Information Processing Systems 37
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  • SEGA: Instructing Text-to-Image Models using Semantic Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SEGA: Instructing Text-to-Image Models using Semantic Guidance

    Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting, Patrick Schramowski, Lukas Struppek p25365-25389 from Advances in Neural Information Processing Systems 36
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  • Segment Any Change

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment Any Change

    Stefano Ermon, Liangpei Zhang, Zhuo Zheng, Yanfei Zhong p81204-81224 from Advances in Neural Information Processing Systems 37
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  • Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

    Jun Cen, Kai Chen, Runnan Chen, Lingdong Kong, Youquan Liu, Ziwei Liu, Liang Pan, Wenwei Zhang p37193-37229 from Advances in Neural Information Processing Systems 36
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  • Segment Anything in 3D with NeRFs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment Anything in 3D with NeRFs

    Jiazhong Cen, Jiemin Fang, Dongsheng Jiang, Wei Shen, Qi Tian, Lingxi Xie, Chen Yang, Xiaopeng Zhang, Zanwei Zhou p25971-25990 from Advances in Neural Information Processing Systems 36
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  • Segment Anything in High Quality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment Anything in High Quality

    Martin Danelljan, Lei Ke, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Mingqiao Ye, Fisher Yu p29914-29934 from Advances in Neural Information Processing Systems 36
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  • Segment Anything without Supervision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment Anything without Supervision

    Trevor Darrell, XuDong Wang, Jingfeng Yang p138731-138755 from Advances in Neural Information Processing Systems 37
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  • Segment Everything Everywhere All at Once

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment Everything Everywhere All at Once

    Jianfeng Gao, Yong Jae Lee, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianwei Yang, Hao Zhang, Xueyan Zou p19769-19782 from Advances in Neural Information Processing Systems 36
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  • Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations

    Ali Etemad, Shivam Grover, Amin Jalali p4878-4905 from Advances in Neural Information Processing Systems 37
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  • Segmental Application of Two Heat Absorption Intensification Methods in Parabolic Trough Collector Solar Loop

    ECOS 2023

    Segmental Application of Two Heat Absorption Intensification Methods in Parabolic Trough Collector Solar Loop

    Bartosz Stanek, Lukasz Bartela, Daniel Wecel p1577-1587 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • SEGMENTED COMPOSITE SECTIONS WITH WOOD DOWELS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    SEGMENTED COMPOSITE SECTIONS WITH WOOD DOWELS

    Matthias Brieden, Max Braun, Werner Seim, Kristina Schramm, Philipp Eversmann p3485-3491 from World Conference on Timber Engineering (WCTE 2023)
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  • Segmenting Moving Objects Via an Object-Centric Layered Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segmenting Moving Objects Via an Object-Centric Layered Representation

    Junyu Xie, Weidi Xie, Andrew Zisserman p28023-28036 from Advances in Neural Information Processing Systems 35
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