Conference publications (selected)
2024
-
Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao;
Hybrid Mamba for Few-Shot Segmentation;
Neural Information Processing Systems (NeurIPS), 2024; -
Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang;
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning;
Neural Information Processing Systems (NeurIPS), 2024; -
Xingyi Li, Yizheng Wu, Jun CEN, Juewen Peng, Kewei Wang, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin;
iControl3D: An Interactive System for Controllable 3D Scene Generation;
ACM Multimedia (ACM MM) 2024; -
Wenhao Shen, Wanqi Yin, Hao Wang, Chen Wei, Zhongang Cai, Lei Yang, Guosheng Lin;
HMR-Adapter: A Lightweight Adapter with Dual-Path Cross Augmentation for Expressive Human Mesh Recovery;
ACM Multimedia (ACM MM) 2024; -
Junlin Fang, Wenya Wang, Guosheng Lin, Fengmao Lv;
Sentiment-Oriented Sarcasm Integration: Effective Enhancement of Video Sentiment Analysis with Sarcasm Assistance;
ACM Multimedia (ACM MM) 2024; -
Fengmao Lv, Changru Nie, Jianyang Zhang, Guowu Yang, Guosheng Lin, Xiao Wu, Tianrui Li;
Rethinking the Effect of Uninformative Class Name in Prompt Learning;
ACM Multimedia (ACM MM) 2024; -
Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao;
Eliminating Feature Ambiguity for Few-Shot Segmentation;
European Conference on Computer Vision (ECCV) 2024; -
Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin;
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views;
European Conference on Computer Vision (ECCV) 2024; -
Xiaofeng Yang, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin;
Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation;
European Conference on Computer Vision (ECCV) 2024; -
Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu;
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency;
European Conference on Computer Vision (ECCV) 2024; -
Yanda Li, Chi Zhang, Gang Yu, Wanqi Yang, Zhibin Wang, BIN FU, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei;
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data;
ACL 2024 Findings; -
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
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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
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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