Research

Guosheng Lin's homepage

Research

Conference publications (selected)

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

Journal publications

2023

  • Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin;
    Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023;

  • Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin;
    Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation;
    International Journal of Computer Vision (IJCV); 2023;

  • Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, and Tzu-Yi Hung;
    Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023;

  • Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin;
    Indoor Smartphone SLAM with Acoustic Echoes;
    Transactions on Mobile Computing, 2023.

  • Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin;
    LCReg: Long-Tailed Image Classification with Latent Categories based Recognition;
    Pattern Recognition, 2023;

  • Ke Xian, Juewen Peng, Zhiguo Cao, Jianming Zhang, Guosheng Lin;
    ViTA: Video Transformer Adaptor for Robust Video Depth Estimation;
    IEEE Transactions on Multimedia (TMM), 2023;

  • Xiaofeng Yang, Fayao Liu, Guosheng Lin;
    Neural Logic Vision Language Explainer;
    IEEE Transactions on Multimedia (TMM), 2023;

  • Jianyang Zhang; Guowu Yang; Ping Hu; Guosheng Lin; Fengmao Lv;
    Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning;
    IEEE Transactions on Image Processing (TIP), 2023;

  • Xianghui Yang, Guosheng Lin, Luping Zhou;
    Single-view 3D Mesh Reconstruction for Seen and Unseen Categories;
    IEEE Transactions on Image Processing (TIP), 2023;

  • Hao Yun, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu;
    Contrastive Generative Network with Recursive-Loop for 3D Point Cloud Generalized Zero-Shot Classification;
    Pattern Recognition, 2023;

  • Hanyu Shi, Ruibo Li, Fayao Liu, and Guosheng Lin;
    Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023;

  • Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su and Qingyao Wu;
    A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection;
    IEEE Transactions on Multimedia (TMM), 2023;

  • Haonan Luo; Guosheng Lin; Fumin Shen; Xingguo Huang; Yazhou Yao; Hengtao Shen;
    Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels;
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023;

  • Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C.H. Hoi;
    Improving Tail-Class Representation with Centroid Contrastive Learning;
    Pattern Recognition Letters; 2023;

2022

  • Chi Zhang; Yujun Cai; Guosheng Lin; Chunhua Shen;
    DeepEMD: Differentiable Earth Mover’s Distance for Few-Shot Learning;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022;

  • Hao Wang, Guosheng Lin, Steven Hoi and Chunyan Miao;
    Learning Structural Representations for Recipe Generation and Food Retrieval;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022;

  • Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu;
    CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Condition Networks;
    International Journal of Computer Vision (IJCV); 2022;

  • Xiaofeng Yang, Fayao Liu, Guosheng Lin;
    Effective End-to-End Vision Language Pretraining with Semantic Visual Loss;
    IEEE Transactions on Multimedia (TMM), 2022;

  • Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin;
    Self-Training Vision Language BERTs with a Unified Conditional Model;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022;

  • Ze Yang, Chi Zhang, Ruibo Li, Yi Xu, and Guosheng Lin;
    Efficient Few-Shot Object Detection via Knowledge Inheritance;
    IEEE Transactions on Image Processing (TIP), 2022;

  • Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu;
    Tackling Background Ambiguities in Multi-Class Few-Shot Point Cloud Semantic Segmentation;
    Knowledge-Based Systems, 2022;

  • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao;
    Cross-Modal Graph with Meta Concepts for Video Captioning;
    IEEE Transactions on Image Processing (TIP), 2022;

  • Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin;
    Few-shot Segmentation with Optimal Transport Matching and Message Flow;
    IEEE Transactions on Multimedia (TMM), 2022;

  • Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, and Zhenmin Tang;
    Guided by Meta-set: A Data-driven Method for Fine-Grained Visual Recognition;
    IEEE Transactions on Multimedia (TMM), 2022;

  • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao;
    Decomposing Generation Networks with Structure Prediction for Recipe Generation;
    Pattern Recognition (PR), 2022;

  • Su He, Xiaofeng Yang, GuoshengLin;
    Learning language to symbol and language to vision mapping for visual grounding;
    Image and Vision Computing, 2022;

2021

  • Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, and Zhenmin Tang;
    Depth and Video Segmentation Based Visual Attention for Embodied Question Answering;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021;

  • Hao Chen, Youfu Li, Yongjian Deng, Guosheng Lin;
    CNN-based RGB-D Salient Object Detection: Learn, Select, and Fuse;
    International Journal of Computer Vision (IJCV); 2021;

  • Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin;
    Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation;
    IEEE Transactions on Multimedia (TMM), 2021;

  • Ruibing Jin, GuoshengLin, Changyun Wen;
    Online Active Proposal Set Generation for weakly supervised object detection;
    Knowledge-Based Systems, 2021;

  • Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu;
    Feature flow: In-network feature flow estimation for video object detection;
    Pattern Recognition (PR), 2021;

  • Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu;
    Progressive Self-Guided Loss for Salient Object Detection;
    IEEE Transactions on Image Processing (TIP), 2021;

  • Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao;
    CycleSegNet: Object Co-Segmentation with Cycle Refinement and Region Correspondence;
    IEEE Transactions on Image Processing (TIP), 2021;
    (* indicates equal contribution)

  • Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua;
    Dense Semantics-Assisted Networks For Video Action Recognition
    IEEE Transactions on Circuits and Systems for Video Technology, 2021;

  • Xiaoqian Ruan, Guosheng Lin, Cheng Long, Shengli Lu;
    Few-Shot Fine-Grained Classification with Spatial Attentive Comparison;
    Knowledge-Based Systems, 2021;

  • Pengshuai Yin, Jiayong Ye, Guoshen Lin, Qingyao Wu;
    Graph neural network for 6D object pose estimation;
    Knowledge-Based Systems, 2021;

2020

  • Zichuan Liu, Guosheng Lin*, Wang Ling Goh;
    Bottom-Up Scene Text Detection with Markov Clustering Networks;
    International Journal of Computer Vision (IJCV); 2020;

  • Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan;
    Weakly-supervised Cross-domain Road Scene Segmentation via Multi-level Curriculum Adaptation
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020;

  • Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin;
    On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections;
    ACM Transactions on Internet of Things, 2020;

  • Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang;
    Motion Context Network for Weakly Supervised Object Detection in Videos;
    IEEE Signal Processing Letters, 2020;

  • Hao Chen, Yongjian Deng, Youfu Li, Tzu-Yi Hung, Guosheng Lin;
    RGBD Salient Object Detection via Disentangled Cross-modal Fusion;
    IEEE Transactions on Image Processing (TIP), 2020;

  • Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael Kwok-Po Ng, Qingyao Wu;
    Iterative Refinement for Multi-source Visual Domain Adaptation;
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020;

  • Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu;
    Guided Co-Segmentation Network for Fast Video Object Segmentation;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020;

  • Video Object Segmentation and Tracking: A Survey;
    Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou;
    Transactions on Intelligent Systems and Technology, 2020;

2019

  • Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian Reid;
    RefineNet: Multi-Path Refinement Networks for Dense Prediction;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019;
    Code: https://github.com/guosheng/refinenet

  • A Dilated Inception Network for Visual Saliency Prediction;
    Sheng Yang, Guosheng Lin, Qiuping Jiang, Weisi Lin;
    IEEE Transactions on Multimedia (TMM), 2019;

  • Tianyi Zhang, Guosheng Lin*, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C Kot;
    Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation;
    IEEE Transactions on Multimedia (TMM), 2019;

  • Zhonghua Wu, Guosheng Lin*, Jianfei Cai;
    Keypoint Based Weakly Supervised Human Parsing;
    Image and Vision Computing (IVC), 2019;

  • Feixiang He, Fayao Liu, Rui Yao, Guosheng Lin*;
    Local Fusion Networks with Chained Residual Pooling for Video Action Recognition;
    Image and Vision Computing (IVC), 2019;

2018 and earlier

  • Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid;
    Exploring Context with Deep Structured models for Semantic Segmentation;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018;

  • Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen;
    Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures;
    International Journal of Computer Vision (IJCV); 2017;
    Code: https://bitbucket.org/guosheng/structhash

  • Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid;
    Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI); 2016;
    Code: https://bitbucket.org/fayao/dcnffcsp/

  • Guosheng Lin, Chunhua Shen, Anton van den Hengel;
    Supervised Hashing Using Graph Cuts and Boosted Decision Trees;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015;
    Code: https://bitbucket.org/chhshen/fasthash/

  • Chunhua Shen, Guosheng Lin, Anton van den Hengel;
    StructBoost: Boosting Methods For Predicting Structured Output Variables;
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014;
    The following code provides the implementation of cutting-plane and an example of column generation:
    https://bitbucket.org/guosheng/structhash

  • Rui Yao, Guosheng Lin*, Chunhua Shen, Yanning Zhang, Qinfeng Shi;
    SemanticsAware Visual Object Tracking;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018;

  • Rui Yao, Guosheng Lin, Qinfeng Shi, DC Ranasinghe;
    Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks;
    Pattern Recognition (PR), 2018;

  • Fayao Liu, Guosheng Lin*, Chunhua Shen;
    Discriminative Training of Deep Fullyconnected Continuous CRF with Taskspecific Loss;
    IEEE Transactions on Image Processing (TIP), 2017;

  • Fayao Liu, Guosheng Lin*, Ruizhi Qiao, Chunhua Shen;
    Structured Learning of Tree Potentials in CRF for Image Segmentation;
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017;

  • Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun;
    Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT); 2016;

  • Fayao Liu, Guosheng Lin, Chunhua Shen;
    CRF Learning with CNN Features for Image Segmentation;
    Pattern Recognition (PR), 2015;