Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

    Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi p68061-68120 from Advances in Neural Information Processing Systems 36
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  • Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction

    Bavesh Balaji, Jerrin Bright, Yuhao Chen, Sirisha Rambhatla, John Zelek, David Clausi p102897-102918 from Advances in Neural Information Processing Systems 37
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  • Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images

    Zeyu Lu, Di Huang, Lei Bai, Jingjing Qu, Chengyue Wu, Xihui Liu, Wanli Ouyang p25435-25447 from Advances in Neural Information Processing Systems 36
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  • Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

    Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao p66328-66363 from Advances in Neural Information Processing Systems 36
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  • Seeing the Forest and the Tree: Building Representations of Both Individual and Collective Dynamics with Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Seeing the Forest and the Tree: Building Representations of Both Individual and Collective Dynamics with Transformers

    Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva Dyer p2377-2391 from Advances in Neural Information Processing Systems 35
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  • Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

    Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo p30925-30950 from Advances in Neural Information Processing Systems 37
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  • Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL

    Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian p1661-1685 from Advances in Neural Information Processing Systems 37
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  • SEENN: Towards Temporal Spiking Early Exit Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SEENN: Towards Temporal Spiking Early Exit Neural Networks

    Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda p63327-63342 from Advances in Neural Information Processing Systems 36
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  • 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

    Hongchao Zhang, Zhizhen Qin, Sicun Gao, Andrew Clark 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, Lukas Struppek, Patrick Schramowski, Kristian Kersting 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

    Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon 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

    Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu 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, Zanwei Zhou, Jiemin Fang, Chen Yang, Wei Shen, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian 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

    Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, 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

    Xudong Wang, Jingfeng Yang, Trevor Darrell 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

    Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee 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

    Shivam Grover, Amin Jalali, Ali Etemad p4878-4905 from Advances in Neural Information Processing Systems 37
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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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  • Segmenting Watermarked Texts From Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Segmenting Watermarked Texts From Language Models

    Xingchi Li, Guanxun Li, Xianyang Zhang p14634-14665 from Advances in Neural Information Processing Systems 37
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  • SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

    Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu p1140-1156 from Advances in Neural Information Processing Systems 35
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  • SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process

    Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei p79761-79780 from Advances in Neural Information Processing Systems 36
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  • SegViT: Semantic Segmentation with Plain Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SegViT: Semantic Segmentation with Plain Vision Transformers

    Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu p4971-4982 from Advances in Neural Information Processing Systems 35
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  • SegVol: Universal and Interactive Volumetric Medical Image Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SegVol: Universal and Interactive Volumetric Medical Image Segmentation

    Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao p110746-110783 from Advances in Neural Information Processing Systems 37
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  • SEL-BALD: Deep Bayesian Active Learning with Selective Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SEL-BALD: Deep Bayesian Active Learning with Selective Labels

    Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky p40952-40975 from Advances in Neural Information Processing Systems 37
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