Shu Liu

According to our database, Shu Liu authored at least 61 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BAL: Balancing Diversity and Novelty for Active Learning.

Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

RL-GPT: Integrating Reinforcement Learning and Code-as-policy.

Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia

CoRR, 2024

MOODv2: Masked Image Modeling for Out-of-Distribution Detection.

Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia

CoRR, 2024

2023

DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors.

Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

ResLT: Residual Learning for Long-Tailed Recognition.

Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Adaptive Perspective Distillation for Semantic Segmentation.

Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2023

An Improved Baseline for Reasoning Segmentation with Large Language Model.

Senqiao Yang, Tianyuan Qu, Xin Lai, Zhuotao Tian, Bohao Peng, Shu Liu, Jiaya Jia

CoRR, 2023

Prompt Highlighter: Interactive Control for Multi-Modal LLMs.

Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, Jiaya Jia

CoRR, 2023

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics.

Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen

CoRR, 2023

Denoising Diffusion Step-aware Models.

Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen

CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.

Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu

CoRR, 2023

LISA: Reasoning Segmentation via Large Language Model.

Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chenyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection.

Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need.

Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields.

Tao Hu, Xiaogang Xu, Shu Liu, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Context-Aware Classifier for Semantic Segmentation.

Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalized Parametric Contrastive Learning.

Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia

CoRR, 2022

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment.

Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia

CoRR, 2022

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation.

Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2022, 2022

Generalized Few-shot Semantic Segmentation.

Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Stratified Transformer for 3D Point Cloud Segmentation.

Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EfficientNeRF - Efficient Neural Radiance Fields.

Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification.

Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Guangming Lu, Yu-Wing Tai

IEEE Trans. Image Process., 2021

Exploring and Improving Mobile Level Vision Transformers.

Pengguang Chen, Yixin Chen, Shu Liu, Ming-Chang Yang, Jiaya Jia

CoRR, 2021

Video Instance Segmentation with a Propose-Reduce Paradigm.

Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation.

Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parametric Contrastive Learning.

Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learnable Boundary Guided Adversarial Training.

Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Structured Instance Graph for Distilling Object Detectors.

Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Calibration for Long-Tailed Recognition.

Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency.

Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised 3D Mesh Reconstruction From Single Images.

Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Knowledge via Knowledge Review.

Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Jigsaw Clustering for Unsupervised Visual Representation Learning.

Pengguang Chen, Shu Liu, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Outdoor RGBD Instance Segmentation With Residual Regretting Learning.

Zhengtian Xu, Shu Liu, Jianping Shi, Cewu Lu

IEEE Trans. Image Process., 2020

GridMask Data Augmentation.

Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia

CoRR, 2020

CN: Channel Normalization for Point Cloud Recognition.

Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2020, 2020

Dive Deeper into Box for Object Detection.

Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai

Proceedings of the Computer Vision - ECCV 2020, 2020

3DSSD: Point-Based 3D Single Stage Object Detector.

Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation.

Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DSGN: Deep Stereo Geometry Network for 3D Object Detection.

Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Orthogonal Center Learning with Subspace Masking for Person Re-Identification.

Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Xiaoyong Shen, Yu-Wing Tai

CoRR, 2019

Human Pose Estimation with Spatial Contextual Information.

Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia

CoRR, 2019

STD: Sparse-to-Dense 3D Object Detector for Point Cloud.

Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation.

Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast and Practical Neural Architecture Search.

Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast Point R-CNN.

Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Associatively Segmenting Instances and Semantics in Point Clouds.

Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Amodal Instance Segmentation With KINS Dataset.

Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

IPOD: Intensive Point-based Object Detector for Point Cloud.

Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia

CoRR, 2018

Sequential Context Encoding for Duplicate Removal.

Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PSANet: Point-wise Spatial Attention Network for Scene Parsing.

Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2018, 2018

Path Aggregation Network for Instance Segmentation.

Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

SGN: Sequential Grouping Networks for Instance Segmentation.

Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation.

Shu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, Jiaya Jia

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Semantic Segmentation with Object Clique Potential.

Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Contour Box: Rejecting Object Proposals without Explicit Closed Contours.

Cewu Lu, Shu Liu, Jiaya Jia, Chi-Keung Tang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Box Aggregation for Proposal Decimation: Last Mile of Object Detection.

Shu Liu, Cewu Lu, Jiaya Jia

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015