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Kaipeng Zhang
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2020 – today
- 2024
- [j7]Hao Zhang, Yongqiang Ma, Kaipeng Zhang, Nanning Zheng, Shenqi Lai:
FMGNet: An efficient feature-multiplex group network for real-time vision task. Pattern Recognit. 156: 110698 (2024) - [j6]Hao Zhang, Yujie Dun, Yixuan Pei, Shenqi Lai, Chengxu Liu, Kaipeng Zhang, Xueming Qian:
HF-HRNet: A Simple Hardware Friendly High-Resolution Network. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7699-7711 (2024) - [j5]Kaipeng Zhang, Yoichi Sato:
Semantic Image Segmentation by Dynamic Discriminative Prototypes. IEEE Trans. Multim. 26: 737-749 (2024) - [c29]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI 2024: 3513-3521 - [c28]Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao:
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. AAAI 2024: 4506-4514 - [c27]Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo:
ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. ACL (Findings) 2024: 7775-7803 - [c26]Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji:
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CVPR 2024: 6390-6399 - [c25]Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue:
OneLLM: One Framework to Align All Modalities with Language. CVPR 2024: 26574-26585 - [c24]Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo:
Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization. ICASSP 2024: 3475-3479 - [c23]Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You:
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. ICLR 2024 - [c22]Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo:
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. ICLR 2024 - [c21]Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo:
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. ICLR 2024 - [c20]Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. ICML 2024 - [c19]Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo:
Position: Towards Implicit Prompt For Text-To-Image Models. ICML 2024 - [c18]Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao:
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. ICML 2024 - [c17]Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang:
T3M: Text Guided 3D Human Motion Synthesis from Speech. NAACL-HLT (Findings) 2024: 1168-1177 - [i42]Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo:
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. CoRR abs/2401.02384 (2024) - [i41]Tianle Zhang, Yuchen Zhang, Kun Wang, Kai Wang, Beining Yang, Kaipeng Zhang, Wenqi Shao, Ping Liu, Joey Tianyi Zhou, Yang You:
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching. CoRR abs/2402.04924 (2024) - [i40]Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR abs/2402.05935 (2024) - [i39]Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo:
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR abs/2402.14623 (2024) - [i38]Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo:
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. CoRR abs/2402.16880 (2024) - [i37]Yue Yang, Yuqi lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo:
Towards Implicit Prompt For Text-To-Image Models. CoRR abs/2403.02118 (2024) - [i36]Hao Zhang, Wenqi Shao, Hong Liu, Yongqiang Ma, Ping Luo, Yu Qiao, Kaipeng Zhang:
AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions. CoRR abs/2403.09346 (2024) - [i35]Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang:
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models. CoRR abs/2403.20194 (2024) - [i34]Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji:
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CoRR abs/2404.01342 (2024) - [i33]Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo:
Adapting LLaMA Decoder to Vision Transformer. CoRR abs/2404.06773 (2024) - [i32]Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao:
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. CoRR abs/2404.16006 (2024) - [i31]Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang:
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. CoRR abs/2405.14554 (2024) - [i30]Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang:
Needle In A Multimodal Haystack. CoRR abs/2406.07230 (2024) - [i29]Quanfeng Lu, Wenqi Shao, Zitao Liu, Fanqing Meng, Boxuan Li, Botong Chen, Siyuan Huang, Kaipeng Zhang, Yu Qiao, Ping Luo:
GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices. CoRR abs/2406.08451 (2024) - [i28]Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang:
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. CoRR abs/2406.08845 (2024) - [i27]Fanqing Meng, Wenqi Shao, Lixin Luo, Yahong Wang, Yiran Chen, Quanfeng Lu, Yue Yang, Tianshuo Yang, Kaipeng Zhang, Yu Qiao, Ping Luo:
PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models. CoRR abs/2406.11802 (2024) - [i26]Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao:
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT. CoRR abs/2406.18583 (2024) - [i25]Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao:
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. CoRR abs/2407.08787 (2024) - [i24]Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo:
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. CoRR abs/2407.11062 (2024) - [i23]Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji:
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. CoRR abs/2407.16982 (2024) - [i22]Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao:
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. CoRR abs/2408.02718 (2024) - [i21]Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kaipeng Zhang, Ahmad Sajedi, Konstantinos N. Plataniotis, Kai Wang, Yang You:
Prioritize Alignment in Dataset Distillation. CoRR abs/2408.03360 (2024) - [i20]Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang:
T3M: Text Guided 3D Human Motion Synthesis from Speech. CoRR abs/2408.12885 (2024) - 2023
- [j4]Feihong Lu, Hang Chen, Kang Li, Qiliang Deng, Jian Zhao, Kaipeng Zhang, Hong Han:
Toward High-quality Face-Mask Occluded Restoration. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 24:1-24:23 (2023) - [c16]Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo:
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV 2023: 17118-17128 - [c15]Shenqi Lai, Xi Du, Jia Guo, Kaipeng Zhang:
RaMLP: Vision MLP via Region-aware Mixing. IJCAI 2023: 999-1007 - [c14]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS 2023 - [i19]Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo:
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR abs/2305.17997 (2023) - [i18]Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, Ping Luo:
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. CoRR abs/2306.09265 (2023) - [i17]Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo:
Align, Adapt and Inject: Sound-guided Unified Image Generation. CoRR abs/2306.11504 (2023) - [i16]Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang, Hongsheng Li, Yu Qiao, Wanli Ouyang, Xiangyu Yue:
Meta-Transformer: A Unified Framework for Multimodal Learning. CoRR abs/2307.10802 (2023) - [i15]Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo:
Tiny LVLM-eHub: Early Multimodal Experiments with Bard. CoRR abs/2308.03729 (2023) - [i14]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR abs/2308.06262 (2023) - [i13]Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo:
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. CoRR abs/2308.13137 (2023) - [i12]Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao:
ImageBind-LLM: Multi-modality Instruction Tuning. CoRR abs/2309.03905 (2023) - [i11]Hao Zhang, Kaipeng Zhang, Lumin Xu, Shenqi Lai, Wenqi Shao, Nanning Zheng, Ping Luo, Yu Qiao:
Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face. CoRR abs/2310.05056 (2023) - [i10]Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You:
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. CoRR abs/2310.05773 (2023) - [i9]Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue:
Towards Unified and Effective Domain Generalization. CoRR abs/2310.10008 (2023) - [i8]Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang, Wei Jiang, Yang You:
DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching. CoRR abs/2310.15052 (2023) - [i7]Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You:
MLLMs-Augmented Visual-Language Representation Learning. CoRR abs/2311.18765 (2023) - [i6]Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue:
OneLLM: One Framework to Align All Modalities with Language. CoRR abs/2312.03700 (2023) - [i5]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR abs/2312.12828 (2023) - 2021
- [c13]Kaipeng Zhang, Zhenqiang Li, Zhifeng Li, Wei Liu, Yoichi Sato:
Neural Routing by Memory. NeurIPS 2021: 13744-13756 - 2020
- [j3]Kaipeng Zhang, Ning Liu, Gao Wang:
A Dual-Thread Method for Time-Optimal Trajectory Planning in Joint Space Based on Improved NGA. J. Robotics 2020: 6859589:1-6859589:13 (2020) - [c12]Zhanpeng Zhang, Kaipeng Zhang:
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. ICRA 2020: 8411-8417 - [i4]Zhanpeng Zhang, Kaipeng Zhang:
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. CoRR abs/2003.03913 (2020)
2010 – 2019
- 2019
- [j2]Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao:
A Comprehensive Study on Center Loss for Deep Face Recognition. Int. J. Comput. Vis. 127(6-7): 668-683 (2019) - [c11]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. ICMI 2019: 551-556 - [c10]Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. ICMI 2019: 557-561 - [i3]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. CoRR abs/1907.03422 (2019) - 2018
- [c9]Chao-Te Chou, Cheng-Han Lee, Kaipeng Zhang, Hu-Cheng Lee, Winston H. Hsu:
PIVTONS: Pose Invariant Virtual Try-On Shoe with Conditional Image Completion. ACCV (6) 2018: 654-668 - [c8]Kaipeng Zhang, Ya-Liang Chang, Winston H. Hsu:
Deep Disguised Faces Recognition. CVPR Workshops 2018: 32-36 - [c7]Cheng-Han Lee, Kaipeng Zhang, Hu-Cheng Lee, Chia-Wen Cheng, Winston H. Hsu:
Attribute Augmented Convolutional Neural Network for Face Hallucination. CVPR Workshops 2018: 721-729 - [c6]Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. ECCV (11) 2018: 196-211 - [c5]Kai Wang, Xiaoxing Zeng, Jianfei Yang, Debin Meng, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues. ICMI 2018: 640-645 - [i2]Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. CoRR abs/1811.02328 (2018) - 2017
- [c4]Kaipeng Zhang, Zhanpeng Zhang, Hao Wang, Zhifeng Li, Yu Qiao, Wei Liu:
Detecting Faces Using Inside Cascaded Contextual CNN. ICCV 2017: 3190-3198 - [c3]Lianzhi Tan, Kaipeng Zhang, Kai Wang, Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao:
Group emotion recognition with individual facial emotion CNNs and global image based CNNs. ICMI 2017: 549-552 - 2016
- [j1]Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao:
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks. IEEE Signal Process. Lett. 23(10): 1499-1503 (2016) - [c2]Kaipeng Zhang, Lianzhi Tan, Zhifeng Li, Yu Qiao:
Gender and Smile Classification Using Deep Convolutional Neural Networks. CVPR Workshops 2016: 739-743 - [c1]Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao:
A Discriminative Feature Learning Approach for Deep Face Recognition. ECCV (7) 2016: 499-515 - [i1]Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao:
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks. CoRR abs/1604.02878 (2016)
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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