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Yongming Rao
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2020 – today
- 2024
- [j15]Wenliang Zhao
, Yongming Rao
DIML: Deep Interpretable Metric Learning via Structural Matching. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2518-2532 (2024) - [j14]Ziyi Wang
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4381-4397 (2024) - [j13]Yixuan Zhu
StableSwap: Stable Face Swapping in a Shared and Controllable Latent Space. IEEE Trans. Multim. 26: 7594-7607 (2024) - [c43]Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan:
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. CVPR 2024: 5074-5083 - [c42]Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Generative Multimodal Models are In-Context Learners. CVPR 2024: 14398-14409 - [c41]Fangfu Liu, Diankun Wu, Yi Wei, Yongming Rao, Yueqi Duan:
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior. CVPR 2024: 20763-20774 - [i42]Zuyan Liu, Yuhao Dong, Yongming Rao, Jie Zhou, Jiwen Lu:
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models. CoRR abs/2403.12966 (2024) - [i41]Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan:
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. CoRR abs/2404.15010 (2024) - [i40]Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu:
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR abs/2407.18121 (2024) - [i39]Benlin Liu, Yuhao Dong, Yiqin Wang, Yongming Rao, Yansong Tang, Wei-Chiu Ma, Ranjay Krishna:
Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model. CoRR abs/2408.00754 (2024) - [i38]Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao:
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution. CoRR abs/2409.12961 (2024) - 2023
- [j12]Yongming Rao
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2193-2207 (2023) - [j11]Yongming Rao
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10883-10897 (2023) - [j10]Yongming Rao
GFNet: Global Filter Networks for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10960-10973 (2023) - [j9]Ziyi Wang
3D Point-Voxel Correlation Fields for Scene Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13621-13635 (2023) - [j8]Xumin Yu
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14114-14130 (2023) - [c40]Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu:
DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion. CVPR 2023: 8568-8577 - [c39]Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li:
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CVPR 2023: 22106-22117 - [c38]Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. ICCV 2023: 1097-1107 - [c37]Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. ICCV 2023: 5617-5627 - [c36]Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu:
Unleashing Text-to-Image Diffusion Models for Visual Perception. ICCV 2023: 5706-5716 - [c35]Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang:
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR 2023 - [c34]Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu:
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. NeurIPS 2023 - [i37]Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers. CoRR abs/2301.04545 (2023) - [i36]Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu:
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. CoRR abs/2302.04867 (2023) - [i35]Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu:
Unleashing Text-to-Image Diffusion Models for Visual Perception. CoRR abs/2303.02153 (2023) - [i34]Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. CoRR abs/2307.14971 (2023) - [i33]Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. CoRR abs/2309.11857 (2023) - [i32]Fangfu Liu, Diankun Wu, Yi Wei, Yongming Rao, Yueqi Duan:
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior. CoRR abs/2312.06655 (2023) - [i31]Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Generative Multimodal Models are In-Context Learners. CoRR abs/2312.13286 (2023) - 2022
- [j7]Cheng Ma
Structure-Preserving Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7898-7911 (2022) - [j6]Cheng Ma
Video Saliency Forecasting Transformer. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6850-6862 (2022) - [j5]Wenliang Zhao, Yongming Rao
VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning. IEEE Trans. Image Process. 31: 6048-6061 (2022) - [c33]Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRL 2022: 539-549 - [c32]Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CVPR 2022: 2939-2948 - [c31]Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu:
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CVPR 2022: 8428-8437 - [c30]Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CVPR 2022: 11809-11819 - [c29]Tianpei Gu, Guangyi Chen
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR 2022: 17092-17101 - [c28]Yongming Rao, Wenliang Zhao, Guangyi Chen
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CVPR 2022: 18061-18070 - [c27]Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CVPR 2022: 19291-19300 - [c26]Yongming Rao
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. ECCV (21) 2022: 50-67 - [c25]Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu:
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. ECCV (39) 2022: 179-195 - [c24]Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu:
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. NeurIPS 2022 - [c23]Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. NeurIPS 2022 - [i30]Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu:
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CoRR abs/2203.05238 (2022) - [i29]Tianpei Gu, Guangyi Chen
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR abs/2203.13777 (2022) - [i28]Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu:
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. CoRR abs/2203.14956 (2022) - [i27]Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRR abs/2204.03636 (2022) - [i26]Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR abs/2204.03646 (2022) - [i25]Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CoRR abs/2205.13490 (2022) - [i24]Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu:
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. CoRR abs/2207.01580 (2022) - [i23]Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu:
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. CoRR abs/2207.14284 (2022) - [i22]Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. CoRR abs/2208.02812 (2022) - [i21]Guangyi Chen
Prompt Learning with Optimal Transport for Vision-Language Models. CoRR abs/2210.01253 (2022) - [i20]Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li:
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CoRR abs/2212.04638 (2022) - 2021
- [c22]Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
Multi-Proxy Wasserstein Classifier for Image Classification. AAAI 2021: 8618-8626 - [c21]Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. CVPR 2021: 6954-6963 - [c20]Yongming Rao, Guangyi Chen
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV 2021: 1005-1014 - [c19]Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. ICCV 2021: 3263-3272 - [c18]Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. ICCV 2021: 5590-5599 - [c17]Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. ICCV 2021: 7899-7908 - [c16]Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. ICCV 2021: 9867-9876 - [c15]Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou:
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. ICCV 2021: 12478-12487 - [c14]Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. NeurIPS 2021: 980-993 - [c13]Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. NeurIPS 2021: 13937-13949 - [i19]Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. CoRR abs/2106.02034 (2021) - [i18]Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. CoRR abs/2107.00645 (2021) - [i17]Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. CoRR abs/2108.05889 (2021) - [i16]Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. CoRR abs/2108.07794 (2021) - [i15]Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. CoRR abs/2108.07797 (2021) - [i14]Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR abs/2108.08728 (2021) - [i13]Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou:
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. CoRR abs/2108.08839 (2021) - [i12]Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou:
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. CoRR abs/2109.01129 (2021) - [i11]Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. CoRR abs/2109.12530 (2021) - [i10]Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CoRR abs/2111.14819 (2021) - [i9]Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CoRR abs/2112.01518 (2021) - [i8]Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang:
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR abs/2112.12053 (2021) - 2020
- [j4]Yuetong Luo, Jingshuai Bian, Meng Zhang, Yongming Rao, Feng Yan:
基于卷积去噪自编码器的芯片表面弱缺陷检测方法 (Detection Method of Chip Surface Weak Defect Based on Convolution Denoising Auto-encoders). 计算机科学 47(2): 118-125 (2020) - [c12]Yongming Rao, Jiwen Lu
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CVPR 2020: 5375-5384 - [c11]Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. CVPR 2020: 5568-5577 - [c10]Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen
Structure-Preserving Super Resolution With Gradient Guidance. CVPR 2020: 7766-7775 - [c9]Guangyi Chen
Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? ECCV (8) 2020: 660-676 - [c8]Benlin Liu, Yongming Rao, Jiwen Lu
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. ECCV (14) 2020: 694-709 - [i7]Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CoRR abs/2003.12971 (2020) - [i6]Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou:
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. CoRR abs/2003.13063 (2020) - [i5]Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution with Gradient Guidance. CoRR abs/2003.13081 (2020) - [i4]Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. CoRR abs/2008.12094 (2020) - [i3]Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou:
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. CoRR abs/2012.00987 (2020)
2010 – 2019
- 2019
- [j3]Yongming Rao, Jiwen Lu
Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification. Int. J. Comput. Vis. 127(6-7): 701-718 (2019) - [j2]Yongming Rao, Yankong Zhang, Wenjun Xie, Lu Liu, Xinyue Liu, Yuetong Luo:
交通事故时空模式可视分析方法 (Visual Analysis Method of Traffic Accident Spatial-Temporal Pattern). 计算机科学 46(4): 14-21 (2019) - [j1]Yongming Rao
Runtime Network Routing for Efficient Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2291-2304 (2019) - [c7]Yongming Rao, Jiwen Lu
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. CVPR 2019: 452-460 - [c6]Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. CVPR 2019: 1207-1216 - [i2]Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou:
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis. CoRR abs/1903.02874 (2019) - [i1]Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou:
P2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation. CoRR abs/1912.09316 (2019) - 2018
- [c5]Yongming Rao, Dahua Lin
Learning Globally Optimized Object Detector via Policy Gradient. CVPR 2018: 6190-6198 - 2017
- [c4]Yongming Rao, Ji Lin, Jiwen Lu
Learning Discriminative Aggregation Network for Video-Based Face Recognition. ICCV 2017: 3801-3810 - [c3]Yongming Rao, Jiwen Lu
Attention-Aware Deep Reinforcement Learning for Video Face Recognition. ICCV 2017: 3951-3960 - [c2]Bilong Shen, Ying Zhao, Guoliang Li, Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao:
V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints. ICDE 2017: 609-620 - [c1]Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou:
Runtime Neural Pruning. NIPS 2017: 2181-2191
Coauthor Index
[j15] [j14] [j13] [c43] [i42] [i41] [i40] [i38] [j12] [j11] [j10] [j9] [j8] [c40] [c39] [c38] [c37] [c36] [c34] [i37] [i36] [i35] [i34] [i33] [j7] [j6] [j5] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i20] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c12] [c11] [c10] [c9] [c8] [i7] [i6] [i5] [i4] [i3] [j3] [j1] [c7] [c6] [i2] [i1] [c5] [c4] [c3] [c1]
[j15] [j14] [j13] [i42] [j12] [j11] [j10] [j9] [j8] [c40] [c39] [c38] [c37] [c36] [c34] [i37] [i36] [i35] [i34] [i33] [j7] [j6] [j5] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i20] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c12] [c11] [c10] [c9] [c8] [i7] [i6] [i5] [i4] [i3] [j3] [j1] [c7] [c6] [i2] [i1] [c5] [c4] [c3] [c1]
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