Journal publications
2024
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Juewen Peng, Zhiguo Cao, Member, IEEE, Xianrui Luo, Ke Xian, Wenfeng Tang, Jianming Zhang, and Guosheng Lin;
BokehMe++: Harmonious Fusion of Classical and Neural Rendering for Versatile Bokeh Creation;
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024; -
Yiran Wang, Min Shi, Jiaqi Li, Chaoyi Hong, Zihao Huang, Juewen Peng, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin;
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation;
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024; -
Yizheng Wu, Zhiyu Pan, Kewei Wang, Xingyi Li, Jiahao Cui, Liwen Xiao, Guosheng Lin, Zhiguo Cao;
Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation;
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024; -
Ruibo Li, Chi Zhang, Zhe Wang, Chunhua Shen, Guosheng Lin;
Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior;
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024; -
Chaoyue Song, Jiacheng Wei, Tianyi Chen, Yiwen Chen, Chuan-Sheng Foo, Fayao Liu, Guosheng Lin;
MoDA: Modeling Deformable 3D Objects from Casual Videos;
International Journal of Computer Vision (IJCV); 2024; -
Mengyang Sun, Wei Suo, Peng Wang, Kai Niu, Le Liu, Guosheng Lin, Yanning Zhang, Qi Wu;
An Adaptive Correlation Filtering Method for Text-Based Person Search;
International Journal of Computer Vision (IJCV); 2024; -
Hanyu Shi, Jiacheng Wei, Hao Wang, Fayao Liu， Guosheng Lin;
Learning Temporal Variations for 4D Point Cloud Segmentation;
International Journal of Computer Vision (IJCV); 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; -
Xiaosheng He, Fan Yang, Fayao Liu, Guosheng Lin;
Few-shot Image Generation via Style Adaptation and Content Preservation;
IEEE Transactions on Neural Networks and Learning Systems (TNNLS); 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; -
Xiaofeng Yang, Fayao Liu, Guosheng Lin;
Neural Radiance Selector: Find the Best 2D Representations of 3D Data for CLIP based 3D Tasks;
Knowledge-Based Systems (KBS), 2024;
2023
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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
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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
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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
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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
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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
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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;