Research
Google scholar: Link
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;