Conference publications (selected)

Guosheng's homepage

Conference publications (selected)

2024

  • Kewei Wang, Yizheng Wu, Jun CEN, Zhiyu Pan, Xingyi Li, Zhe Wang, Zhiguo Cao, Guosheng Lin;
    Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Xingyi Li, Zhiguo Cao, Yizheng Wu, Kewei Wang, Ke Xian, Zhe Wang, Guosheng Lin;
    S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Chen Cheng, Xiaofeng Yang, Fan Yang, Chengzeng Feng, ZHOUJIE FU, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu;
    Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Kennard Chan, Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin;
    R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, Guosheng Lin;
    GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Fan Yang, Tianyi Chen, XIAOSHENG HE, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin;
    AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Chaoyue Song, Jiacheng Wei, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu;
    REACTO: Reconstructing Articulated Objects from a Single Video;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024;

  • Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin;
    Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction;
    AAAI Conference on Artificial Intelligence (AAAI 2024);

  • Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin;
    Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix;
    AAAI Conference on Artificial Intelligence (AAAI 2024);

  • Yiwen Chen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin;
    IT3D: Improved Text-to-3D Generation with Explicit View Synthesis;
    AAAI Conference on Artificial Intelligence (AAAI 2024);

  • Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin;
    Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration;
    AAAI Conference on Artificial Intelligence (AAAI 2024);

2023

  • Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, PENG WANG, Yanning Zhang;
    Toward Re-Identifying Any Animal;
    Neural Information Processing Systems (NeurIPS), 2023;

  • Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin;
    Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision;
    International Conference on Computer Vision (ICCV), 2023;

  • Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long;
    Self-Calibrated Cross Attention Network for Few-Shot Segmentation;
    International Conference on Computer Vision (ICCV), 2023;

  • Ze Yang, Ruibo Li, Evan Ling, Chi Zhang, Yiming Wang, Dezhao HUANG, Keng Teck Ma, Minhoe Hur, Guosheng Lin;
    Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds;
    International Conference on Computer Vision (ICCV), 2023;

  • Yiran Wang, Min Shi, jiaqi li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin;
    Neural Video Depth Stabilizer;
    International Conference on Computer Vision (ICCV), 2023;

  • Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin;
    Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image;
    ACM International Conference on Multimedia (ACM MM) 2023;

  • Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin;
    3D Cinemagraphy from a Single Image;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023;

  • Ruibo Li, Hanyu Shi, Ziang Fu, Zhe Wang, Guosheng Lin;
    Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023;

  • Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap, Andreas Geiger;
    TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023;

  • Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou;
    Neural Vector Fields: Implicit Representation by Explicit Learning;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023;

2022

  • Kennard Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin;
    S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction;
    Neural Information Processing Systems (NeurIPS), 2022;

  • Xingyi Li, Chaoyi Hong, Yiran Wang, Zhiguo Cao, Ke Xian, Guosheng Lin;
    SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis;
    Asian Conference on Computer Vision (ACCV), 2022;

  • Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Chaitanya Joshi, Jie Lin;
    Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis;
    International Conference on 3D Vision (3DV) 2022;

  • Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin;
    Indoor Smartphone SLAM with Learned Echoic Location Features;
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2022;

  • Shichao Dong; Guosheng Lin; Tzu-Yi HUNG;
    Learning Regional Purity for Instance Segmentation on 3D Point Clouds;
    European Conference on Computer Vision (ECCV) 2022;

  • Kennard Chan Yanting; Guosheng Lin; Haiyu Zhao; Weisi Lin;
    IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction;
    European Conference on Computer Vision (ECCV) 2022;

  • Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian;
    Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation;
    European Conference on Computer Vision (ECCV) 2022;

  • Yukun Su; Guosheng Lin; RuiZhou Sun; Qingyao Wu;
    General Object Pose Transformation Network from Unpaired Data;
    European Conference on Computer Vision (ECCV) 2022;

  • BingLiang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang;
    Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification;
    European Conference on Computer Vision (ECCV) 2022;

  • Nan Song, Chi Zhang, Guosheng Lin;
    Few-shot Open-set Recognition Using Background as Unknowns;
    ACM International Conference on Multimedia (ACM MM) 2022;

  • Hao Wang, Guosheng Lin, Steven HOI, Chunyan Miao;
    Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval;
    ACM International Conference on Multimedia (ACM MM) 2022;

  • Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen;
    RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022;

  • Hanyu Shi, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin;
    Weakly Supervised Segmentation on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022;

  • Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv;
    Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022;

  • Yukun Su, Guosheng Lin, Yiwen Cao, Qingyao Wu;
    Self-Supervised Object Localization with Joint Graph Partition;
    AAAI Conference on Artificial Intelligence (AAAI), 2022;

2021

  • Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin;
    3D Pose Transfer with Correspondence Learning and Mesh Refinement;
    Neural Information Processing Systems (NeurIPS), 2021;

  • Yukun Su, Guosheng Lin, RuiZhou Sun, Qingyao Wu;
    Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation;
    International Conference on Computer Vision (ICCV), 2021;

  • Yukun Su, Guosheng Lin, Qingyao Wu;
    Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity;
    International Conference on Computer Vision (ICCV), 2021;

  • Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen;
    Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning;
    International Conference on Computer Vision (ICCV), 2021;

  • Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv;
    Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion;
    International Conference on Computer Vision (ICCV), 2021;

  • Zhonghua Wu, Xiangxi Shi, Guosheng Lin, Jianfei Cai;
    Learning Meta-class Memory for Few-Shot Semantic Segmentation;
    International Conference on Computer Vision (ICCV), 2021;

  • Hao Wang, Guosheng Lin, Steven Hoi, Chunyan Miao;
    Cycle-Consistent Inverse GAN for Text-to-Image Synthesis;
    ACM International Conference on Multimedia (ACM MM) 2021;

  • Yukun Su, Guosheng Lin, RuiZhou Sun, Yun Hao, Qingyao Wu;
    Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning;
    ACM International Conference on Multimedia (ACM MM) 2021;

  • Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu;
    MV-TON: Memory-based Video Virtual Try-on network;
    ACM International Conference on Multimedia (ACM MM) 2021;

  • Fan Yang, Guosheng Lin;
    CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021;

  • Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen;
    HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021;

  • Ruibo Li, Guosheng Lin, Lihua Xie;
    Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021;
    (Oral presentation)

  • Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin;
    Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021;

  • Chi Zhang*, Nan Song*, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu;
    Few-Shot Incremental Learning with Continually Evolved Classifiers;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021;
    (* indicates equal contribution)

2020

  • Hao Wang, Guosheng Lin, Steven Hoi, Chunyan Miao;
    Structure-Aware Generation Network for Recipe Generation from Images;
    European Conference on Computer Vision (ECCV) 2020;

  • Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot;
    Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation;
    European Conference on Computer Vision (ECCV) 2020;

  • Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu;
    TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering;
    European Conference on Computer Vision (ECCV) 2020;

  • Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu;
    Graph Edit Distance Reward: Learning to Edit Scene Graph;
    European Conference on Computer Vision (ECCV) 2020;

  • Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu;
    Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition;
    European Conference on Computer Vision (ECCV) 2020;

  • Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi HUNG, Chunyan Miao;
    Weakly Supervised Segmentation with Maximum Bipartite Graph Matching;
    ACM International Conference on Multimedia (ACM MM) 2020;

  • Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi HUNG, Lihua Xie;
    Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020;

  • Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi HUNG, Zhenhua Wang;
    SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020;

  • Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen;
    DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover’s Distance and Structured Classifiers;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020;
    (Oral presentation)

  • Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu;
    CRNet: Cross-Reference Networks for Few-Shot Segmentation;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020;

  • Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin;
    Cross-domain semantic segmentation via domain-invariant interactive relation transfer;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020;

  • Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai;
    Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020;

2019

  • Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao;
    Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation;
    International Conference on Computer Vision (ICCV), 2019;

  • Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao;
    SegEQA: Video Segmentation based Visual Attention for Embodied Question Answering;
    International Conference on Computer Vision (ICCV), 2019;

  • Zhonghua Wu, Guosheng Lin, Qingyi Tao, Jianfei Cai;
    M2E-Try On Net: Fashion from Model to Everyone;
    ACM Multimedia (ACMMM) 2019;

  • Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen;
    CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019;

  • Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh;
    Towards Robust Curve Text Detection with Conditional Spatial Expansion;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019;

  • Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin;
    On Lightweight Privacy-Preserving Collaborative Learning for Internet-of-Things Objects;
    The 4th ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI) 2019;

2018

  • Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan and Lixin Duan;
    Domain Adaptive Semantic Segmentation through Structure Enhancement.
    ECCV18 Workshop on Transferring Knowledge and Adapting Source Knowledge in Computer Vision and VisDA Challenge 2018.

  • Tong Shen, Guosheng Lin, Chunhua Shen, Ian Reid;
    Bootstrapping the Performance of Webly Supervised Semantic Segmentation;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018;
    Code: https://github.com/ascust/BDWSS

  • Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wangling Goh;
    Learning Markov Clustering Networks for Scene Text Detection;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018;

  • Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang;
    MoNet: Deep Motion Exploitation for Video Object Segmentation
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018;

  • Anton Milan, et al;
    Semantic segmentation from limited training data;
    IEEE International Conference on Robotics and Automation (ICRA), 2018;
    Winning solution based on our RefineNet for Amazon Robotics Challenge (ARC) 2017

2017

  • Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid;
    RefineNet: MultiPath Refinement Networks for HighResolution Semantic Segmentation;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017;
    Top performance on PASCAL VOC 2012 dataset.
    Our source code and trained models are available at:
    https://github.com/guosheng/refinenet
    (MATLAB based framework for semantic segmentation and dense preidction)

  • Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel;
    Sequential Person Recognition in Photo Albums with a Recurrent Network;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017;

  • Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid;
    Weakly Supervised Semantic Segmentation Based on Cosegmentation;
    The British Machine Vision Conference (BMVC) 2017;

  • Tong Shen*, Guosheng Lin*, Chunhua Shen, Ian Reid;
    ( * indicates equal contribution )
    Learning Multilevel Region Consistency with Dense Multilabel Networks for Semantic Segmentation;
    International Joint Conference on Artificial Intelligence (IJCAI) 2017;

2016 and earlier

  • Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid; Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Spotlight presentation;

  • Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian Reid;
    Fast training of tripletbased deep binary embedding networks;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016;

  • Guosheng Lin, Chunhua Shen, Ian Reid, Anton van den Hengel;
    Deeply Learning the Messages in Message Passing Inference;
    Neural Information Processing Systems (NeurIPS), 2015.

  • Fayao Liu, Chunhua Shen, Guosheng Lin;
    Deep Convolutional Neural Fields for Depth Estimation from a Single Image;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015;
    Code: https://bitbucket.org/fayao/dcnffcsp/

  • Michael Milford, Chunhua Shen, Stephanie Lowry, Niko Suenderhauf, Sareh Shirazi, Guosheng Lin, Fayao Liu, Edward Pepperell, Cesar Lerma, Ben Upcroft, Ian Reid;
    Sequence Searching With DeepLearnt Depth for Condition and ViewpointInvariant RouteBased Place Recognition;
    The 6th international Workshop on Computer Vision in Vehicle Technology, CVPR2015 workshop.

  • Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel and David Suter;
    Fast Supervised Hashing with Decision Trees for HighDimensional Data;
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014;
    Code: https://bitbucket.org/chhshen/fasthash/

  • Guosheng Lin, Chunhua Shen, Jianxin Wu;
    Optimizing Ranking Measures For Compact Binary Code Learning;
    European Conference on Computer Vision (ECCV), 2014;
    Code: https://bitbucket.org/guosheng/structhash
    Extensions of this method for efficient training are also included.

  • Guosheng Lin, Chunhua Shen, David Suter and Anton van den Hengel;
    A General TwoStep Approach to LearningBased Hashing;
    International Conference on Computer Vision (ICCV), 2013;
    Code: https://bitbucket.org/guosheng/twostephashing

  • Xi Li*, Guosheng Lin*, Chunhua Shen, Anton van den Hengel and Anthony Dick;
    ( * indicates equal contribution );
    Learning Hash Functions Using Column Generation;
    International Conference on Machine Learning (ICML), 2013; Oral Presentation;
    Code: https://bitbucket.org/guosheng/columngenerationhashing/

  • Guosheng Lin, Chunhua Shen and Anton van den Hengel;
    Approximate Constraint Generation for Efficient Structured Boosting;
    International Conference on Image Processing (ICIP), 2013;

  • Guosheng Lin, Chunhua Shen, Anton van den Hengel and David Suter;
    Fast Training of Effective Multiclass Boosting Using Coordinate Descent Optimization;
    Asian Conference on Computer Vision (ACCV), 2012;
    Code: https://bitbucket.org/guosheng/fastmultiboostcw