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ORCIDShu Liu 0005
Person information
- affiliation: YouTu Lab, Tencent, China
- affiliation: Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Shu Liu — disambiguation page
- Shu Liu 0001 — University of Notre Dame, Department of Computer Science and Engineering, USA
- Shu Liu 0002
![[0000-0003-0797-5807]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0797-5807")
— Central South University, School of Computer Science and Engineering, China (and 1 more) - Shu Liu 0003 — Chinese Academy of Sciences, State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute ofChemical Physics, Dalian, China
- Shu Liu 0004 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China (and 1 more)
- Shu Liu 0006 — Colorado State University Libraries, Digital Repositories Services, Fort Collins, CO, USA
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2020 – today
- 2024
[j6]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
BAL: Balancing Diversity and Novelty for Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3653-3664 (2024)- [c41]Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Chang Yang, Jiaya Jia:
Scalable Language Model with Generalized Continual Learning. ICLR 2024 - [c40]Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen:
Denoising Diffusion Step-aware Models. ICLR 2024 - [i49]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
MOODv2: Masked Image Modeling for Out-of-Distribution Detection. CoRR abs/2401.02611 (2024) - [i48]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. CoRR abs/2402.19299 (2024) - [i47]Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Hsuan Yang, Jiaya Jia:
Scalable Language Model with Generalized Continual Learning. CoRR abs/2404.07470 (2024) - [i46]Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen:
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. CoRR abs/2407.02228 (2024) - 2023
- [j5]Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia:
Adaptive Perspective Distillation for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1372-1387 (2023) - [j4]Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-Tailed Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3695-3706 (2023) - [j3]Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia:
DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4416-4429 (2023) - [c39]Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-Aware Classifier for Semantic Segmentation. AAAI 2023: 2438-2446 - [c38]Tao Hu, Xiaogang Xu, Shu Liu, Jiaya Jia:
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields. CVPR 2023: 8349-8358 - [c37]Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia:
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CVPR 2023: 11578-11589 - [c36]Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia:
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. CVPR 2023: 23641-23651 - [c35]Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen:
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. ICCV 2023: 4228-4237 - [c34]Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen:
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. ICCV 2023: 7438-7447 - [i45]Jingyao Li, Pengguang Chen, Shaozuo Yu, Zexin He, Shu Liu, Jiaya Jia:
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CoRR abs/2302.02615 (2023) - [i44]Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen:
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. CoRR abs/2303.10840 (2023) - [i43]Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-aware Classifier for Semantic Segmentation. CoRR abs/2303.11633 (2023) - [i42]Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chenyao Wang, Shu Liu, Jingyong Su, Jiaya Jia:
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. CoRR abs/2303.14652 (2023) - [i41]Tao Hu, Xiaogang Xu, Shu Liu, Jiaya Jia:
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields. CoRR abs/2303.16482 (2023) - [i40]Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia:
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract. CoRR abs/2306.15278 (2023) - [i39]Luozhou Wang, Shuai Yang, Shu Liu, Yingcong Chen:
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. CoRR abs/2307.08448 (2023) - [i38]Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia:
LISA: Reasoning Segmentation via Large Language Model. CoRR abs/2308.00692 (2023) - [i37]Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu:
A Scale-Invariant Task Balancing Approach for Multi-Task Learning. CoRR abs/2308.12029 (2023) - [i36]Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen:
Denoising Diffusion Step-aware Models. CoRR abs/2310.03337 (2023) - [i35]Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen:
Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. CoRR abs/2310.17316 (2023) - [i34]Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, Jiaya Jia:
Prompt Highlighter: Interactive Control for Multi-Modal LLMs. CoRR abs/2312.04302 (2023) - [i33]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
BAL: Balancing Diversity and Novelty for Active Learning. CoRR abs/2312.15944 (2023) - [i32]Senqiao Yang, Tianyuan Qu, Xin Lai, Zhuotao Tian, Bohao Peng, Shu Liu, Jiaya Jia:
An Improved Baseline for Reasoning Segmentation with Large Language Model. CoRR abs/2312.17240 (2023) - 2022
- [c33]Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia:
Stratified Transformer for 3D Point Cloud Segmentation. CVPR 2022: 8490-8499 - [c32]Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia:
Generalized Few-shot Semantic Segmentation. CVPR 2022: 11553-11562 - [c31]Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia:
EfficientNeRF - Efficient Neural Radiance Fields. CVPR 2022: 12892-12901 - [c30]Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia:
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. ECCV (33) 2022: 369-387 - [i31]Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia:
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment. CoRR abs/2203.00862 (2022) - [i30]Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia:
Stratified Transformer for 3D Point Cloud Segmentation. CoRR abs/2203.14508 (2022) - [i29]Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia:
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors. CoRR abs/2204.03039 (2022) - [i28]Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia:
EfficientNeRF: Efficient Neural Radiance Fields. CoRR abs/2206.00878 (2022) - [i27]Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia:
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. CoRR abs/2207.09988 (2022) - [i26]Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia:
Generalized Parametric Contrastive Learning. CoRR abs/2209.12400 (2022) - 2021
- [j2]Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Guangming Lu, Yu-Wing Tai:
Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification. IEEE Trans. Image Process. 30: 907-920 (2021) - [c29]Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia:
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. CVPR 2021: 1205-1214 - [c28]Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
Distilling Knowledge via Knowledge Review. CVPR 2021: 5008-5017 - [c27]Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia:
Self-Supervised 3D Mesh Reconstruction From Single Images. CVPR 2021: 6002-6011 - [c26]Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. CVPR 2021: 11526-11535 - [c25]Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. CVPR 2021: 16489-16498 - [c24]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. ICCV 2021: 695-704 - [c23]Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia:
Video Instance Segmentation with a Propose-Reduce Paradigm. ICCV 2021: 1719-1728 - [c22]Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia:
Deep Structured Instance Graph for Distilling Object Detectors. ICCV 2021: 4339-4348 - [c21]Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia:
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. ICCV 2021: 6403-6412 - [c20]Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia:
Learnable Boundary Guided Adversarial Training. ICCV 2021: 15701-15710 - [i25]Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-tailed Recognition. CoRR abs/2101.10633 (2021) - [i24]Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia:
Video Instance Segmentation with a Propose-Reduce Paradigm. CoRR abs/2103.13746 (2021) - [i23]Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. CoRR abs/2104.00323 (2021) - [i22]Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. CoRR abs/2104.00466 (2021) - [i21]Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
Distilling Knowledge via Knowledge Review. CoRR abs/2104.09044 (2021) - [i20]Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia:
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency. CoRR abs/2106.14133 (2021) - [i19]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. CoRR abs/2107.12028 (2021) - [i18]Pengguang Chen, Yixin Chen, Shu Liu, Ming-Chang Yang, Jiaya Jia:
Exploring and Improving Mobile Level Vision Transformers. CoRR abs/2108.13015 (2021) - [i17]Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia:
Deep Structured Instance Graph for Distilling Object Detectors. CoRR abs/2109.12862 (2021) - [i16]Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia:
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. CoRR abs/2110.08188 (2021) - 2020
- [j1]Zhengtian Xu, Shu Liu, Jianping Shi, Cewu Lu:
Outdoor RGBD Instance Segmentation With Residual Regretting Learning. IEEE Trans. Image Process. 29: 5301-5309 (2020) - [c19]Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. CVPR 2020: 4866-4875 - [c18]Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia:
3DSSD: Point-Based 3D Single Stage Object Detector. CVPR 2020: 11037-11045 - [c17]Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
DSGN: Deep Stereo Geometry Network for 3D Object Detection. CVPR 2020: 12533-12542 - [c16]Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai:
Dive Deeper into Box for Object Detection. ECCV (22) 2020: 412-428 - [c15]Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia:
CN: Channel Normalization for Point Cloud Recognition. ECCV (10) 2020: 600-616 - [i15]Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
DSGN: Deep Stereo Geometry Network for 3D Object Detection. CoRR abs/2001.03398 (2020) - [i14]Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
GridMask Data Augmentation. CoRR abs/2001.04086 (2020) - [i13]Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia:
3DSSD: Point-based 3D Single Stage Object Detector. CoRR abs/2002.10187 (2020) - [i12]Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. CoRR abs/2004.01658 (2020) - [i11]Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai:
Dive Deeper Into Box for Object Detection. CoRR abs/2007.14350 (2020) - [i10]Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia:
Learnable Boundary Guided Adversarial Training. CoRR abs/2011.11164 (2020)
2010 – 2019
- 2019
- [c14]Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Amodal Instance Segmentation With KINS Dataset. CVPR 2019: 3014-3023 - [c13]Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia:
Associatively Segmenting Instances and Semantics in Point Clouds. CVPR 2019: 4096-4105 - [c12]Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia:
STD: Sparse-to-Dense 3D Object Detector for Point Cloud. ICCV 2019: 1951-1960 - [c11]Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast and Practical Neural Architecture Search. ICCV 2019: 6508-6517 - [c10]Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast Point R-CNN. ICCV 2019: 9774-9783 - [c9]Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia:
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. ICCV 2019: 10432-10440 - [i9]Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia:
Human Pose Estimation with Spatial Contextual Information. CoRR abs/1901.01760 (2019) - [i8]Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia:
Associatively Segmenting Instances and Semantics in Point Clouds. CoRR abs/1902.09852 (2019) - [i7]Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia:
STD: Sparse-to-Dense 3D Object Detector for Point Cloud. CoRR abs/1907.10471 (2019) - [i6]Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast Point R-CNN. CoRR abs/1908.02990 (2019) - [i5]Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Xiaoyong Shen, Yu-Wing Tai:
Orthogonal Center Learning with Subspace Masking for Person Re-Identification. CoRR abs/1908.10535 (2019) - [i4]Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia:
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. CoRR abs/1909.10469 (2019) - 2018
- [c8]Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia:
Path Aggregation Network for Instance Segmentation. CVPR 2018: 8759-8768 - [c7]Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia:
PSANet: Point-wise Spatial Attention Network for Scene Parsing. ECCV (9) 2018: 270-286 - [c6]Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia:
Sequential Context Encoding for Duplicate Removal. NeurIPS 2018: 2053-2062 - [i3]Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia:
Path Aggregation Network for Instance Segmentation. CoRR abs/1803.01534 (2018) - [i2]Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia:
Sequential Context Encoding for Duplicate Removal. CoRR abs/1810.08770 (2018) - [i1]Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia:
IPOD: Intensive Point-based Object Detector for Point Cloud. CoRR abs/1812.05276 (2018) - 2017
- [c5]Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun:
SGN: Sequential Grouping Networks for Instance Segmentation. ICCV 2017: 3516-3524 - 2016
- [c4]Shu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, Jiaya Jia:
Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation. CVPR 2016: 3141-3149 - 2015
- [c3]Cewu Lu, Shu Liu, Jiaya Jia, Chi-Keung Tang:
Contour Box: Rejecting Object Proposals without Explicit Closed Contours. ICCV 2015: 2021-2029 - [c2]Shu Liu, Cewu Lu, Jiaya Jia:
Box Aggregation for Proposal Decimation: Last Mile of Object Detection. ICCV 2015: 2569-2577 - [c1]Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia:
Semantic Segmentation with Object Clique Potential. ICCV 2015: 2587-2595
Coauthor Index
[j6] [c41] [i49] [i48] [i47] [j5] [j4] [j3] [c39] [c38] [c37] [c36] [i45] [i43] [i42] [i41] [i40] [i38] [i34] [i33] [i32] [c33] [c32] [c31] [c30] [i31] [i30] [i29] [i28] [i27] [i26] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [c19] [c18] [c17] [c15] [i15] [i14] [i13] [i12] [i10] [c14] [c13] [c12] [c11] [c10] [c9] [i9] [i8] [i7] [i6] [i4] [c8] [c7] [c6] [i3] [i2] [i1] [c5] [c4] [c3] [c2] [c1]
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