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Mingbao Lin

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Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference

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May 09, 2024
Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji

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ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion

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May 02, 2024
Ziyue Zhang, Mingbao Lin, Rongrong Ji

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CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

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Apr 23, 2024
Mingbao Lin, Zhihang Lin, Wengyi Zhan, Liujuan Cao, Rongrong Ji

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Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study

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Dec 09, 2023
Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, Rongrong Ji

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I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization

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Nov 16, 2023
Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji

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Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

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Oct 17, 2023
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji

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Unified and Dynamic Graph for Temporal Character Grouping in Long Videos

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Aug 29, 2023
Xiujun Shu, Wei Wen, Liangsheng Xu, Mingbao Lin, Ruizhi Qiao, Taian Guo, Hanjun Li, Bei Gan, Xiao Wang, Xing Sun

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MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

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Aug 23, 2023
Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, Yunsheng Wu

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Representation Disparity-aware Distillation for 3D Object Detection

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Aug 20, 2023
Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

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Spatial Re-parameterization for N:M Sparsity

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Jun 09, 2023
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji

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