赌场老虎机

出版物

Jiashuo Yu, Yue Wu, Meng Chu, Zhifei Ren, Zizheng Huang, Pei Chu, Ruijie Zhang, Yinan He, Qirui Li, Songze Li, Zhenxiang Li, Zhongying Tu, Conghui He, Yu Qiao, Yali Wang, Yi Wang, Limin Wang (2025). VRBench: a benchmark for multi-step reasoning in long narrative videos. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Fengyuan Shi, Zhuoyan Luo, Yixiao Ge, Yujiu Yang, Ying Shan, Limin Wang (2025). Scalable image tokenization with index backpropagation quantization. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Jun Zhang, Desen Meng, Zhengming Zhang, Zhenpeng Huang, Tao Wu, Limin Wang (2025). p-MoD: building mixture-of-depths MLLMs via progressive ratio decay. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Min Yang, Zihan Jia, Zhilin Dai, Sheng Guo, Limin Wang (2025). MobileViCLIP: an efficient video-text model for mobile devices. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Chenting Wang, Kunchang Li, Tianxiang Jiang, Xiangyu Zeng, Yi Wang, Limin Wang (2025). Make your training flexible: towards deployment-efficient video models. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Yue Duan, Taicai Chen, Lei Qi, Yinghuan Shi (2025). Divide-and-conquer for enhancing unlabeled learning, stability, and plasticity in semi-supervised continual learning. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Haoran Wang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi (2025). Correspondence as video: test-time adaption on SAM2 for reference segmentation in the wild. Proceedings of the IEEE/CVF International Conference on Computer Vision.
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Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang (2025). Stochastic layer-wise shuffle for improving Vision Mamba training. Proceedings of the International Conference on Machine Learning.
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Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li (2025). On the tension between Byzantine robustness and no-attack accuracy in distributed learning. Proceedings of the International Conference on Machine Learning.
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Xinyou Wang, Cheng-Yen Hsieh, Daiheng Zhang, Dongyu Xue, Fei Ye, Shujian Huang, Zaixiang Zheng, Quanquan Gu (2025). Elucidating the design space of multimodal protein language models. Proceedings of the International Conference on Machine Learning.
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