Journal publications

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Journal publications

2024

  • Hao Wang, Guosheng Lin, Ana García del Molino, Anran Wang, Jiashi Feng, Zhigi Shen;
    ManiCLIP: Multi-Attribute Face Manipulation from Text;
    International Journal of Computer Vision (IJCV); 2024;

  • Ke Xian, Zhiguo Cao, Chunhua Shen, Guosheng Lin;
    Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark;
    International Journal of Computer Vision (IJCV); 2024;

  • Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai;
    Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation;
    International Journal of Computer Vision (IJCV); 2024;

  • Lvlong Lai, Jian Chen, Guosheng Lin, Qingyao Wu;
    CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification;
    IEEE Transactions on Multimedia (TMM), 2024;

  • Lvlong Lai; Jian Chen; Zehong Zhang; Guosheng Lin; Qingyao Wu;
    CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction;
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024;

  • Hanqing Yang; Sijia Cai; Bing Deng; Jieping Ye; Guosheng Lin; Yu Zhang;
    Context-aware and Semantic-consistent Spatial Interactions for One-shot Object Detection without Fine-tuning;
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024;

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;