WI3D:Weakly Incremental 3D Detection via Vision Foundation Models
Published in IEEE Transactions on Multimedia (T-MM), 2024
Mingsheng Li, Sijin Chen, Shengji Tang, Hongyuan Zhu, Yanyan Fang, Xin Chen, Zhuoyuan Li, Fukun Yin, Tao Chen
[Paper]
Publications
- 2024 27
- 2023 23
- 2022 12
- 2021 10
- 2020 5
- 2019 2
- 2018 1
- 2017 5
- 2016 2
- 2015 10
- 2014 3
- 2013 2
- 2012 1
- 2011 4
- 2010 1
- 2009 2
- 2008 2
2024
Unbounded-GS:Extending 3D Gaussian Splatting with Hybrid Representation for Unbounded Large-Scale Scene Reconstruction
Published in IEEE Robotics and Automation Letters (RAL), 2024
Wanzhang Li, Fukun Yin, Wen Liu, Yiying Yang, Xin Chen, Biao Jiang, Gang Yu, Jiayuan Fan
[Paper]
ShapeGPT:3D Shape Generation with A Unified Multi-modal Language Model
Published in IEEE Transactions on Multimedia (T-MM), 2024
Fukun Yin, Xin Chen, Chi Zhang, Biao Jiang, Zibo Zhao, Jiayuan Fan, Gang Yu, Taihao Li, Tao Chen
[Paper] [Code]
Efficient Architecture Search via Bi-level Data Pruning
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024
Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen, Baopu Li, Wanli Ouyang
[Paper]
Revisiting 3D visual grounding with Context-aware Feature Aggregation
Published in Neurocomputing, 2024
Peng Guo, Hongyuan Zhu, Hancheng Ye, Taihao Li，Tao Chen
[Paper]
Instruct Pix-to-3D:Instructional 3D object generation from a single image
Published in Neurocomputing, 2024
Weiwei Cai, Wen Liu, Wanzhang Li, Zibo Zhao, Fukun Yin, Xin Chen, Lei Zhao, Tao Chen
[Paper]
FNP:Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Kun Chen, Tao Chen, Peng Ye, Hao Chen, kang chen, Tao Chen, Wanli Ouyang, LEI BAI
S2HPruner:Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen
Bifrost:3D-Aware Image Composing with Language Instructions
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Lingxiao Li, Kaixiong Gong, Wei-Hong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue
EMR-Merging:Tuning-Free High-Performance Model Merging
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
3DET-Mamba:Causal Sequence Modelling for End-to-End 3D Object Detection
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu, Xin Chen, Tao Chen
MeshXL:Neural Coordinate Field for Generative 3D Foundation Models
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2024
Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Yijun Fu, Wei Cheng, Fukun Yin, Zhibin Wang, Jingyi Yu, Gang Yu, BIN FU, Tao Chen
M3DBench:Let’s Instruct Large Models with Multi-modal 3D Prompts
In Proc. European Conference on Computer Vision (ECCV), 2024
Mingsheng Li, Xin Chen, Chi Zhang, Sijin Chen, Hongyuan Zhu, Fukun Yin, Gang Yu, Tao Chen
[Paper] [Project Page] [Code]
MotionChain:Conversational Motion Controllers via Multimodal Prompts
In Proc. European Conference on Computer Vision (ECCV), 2024
Biao Jiang, Xin Chen, Chi Zhang, Fukun Yin, Zhuoyuan Li, Gang YU, Jiayuan Fan
[Paper] [Code]
Enhanced Sparsification via Stimulative Training
In Proc. European Conference on Computer Vision (ECCV), 2024
Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen
[Paper]
Better Regression Makes Better Test-time Adaptive 3D Object Detection
In Proc. European Conference on Computer Vision (ECCV), 2024
Jiakang Yuan, Bo Zhang, Kaixiong Gong, Xiangyu Yue, Botian Shi, Yu Qiao, Tao Chen
Lightweight Model Pre-training via Language Guided Knowledge Distillation
Published in IEEE Transactions on Multimedia (T-MM), 2024
Mingsheng Li, Lin Zhang, Mingzhen Zhu, Zilong Huang, Gang Yu, Jiayuan Fan, Tao Chen
[Paper] [Code]
Spear:Evaluate the Adversarial Robustness of Compressed Neural Models
In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2024
Chong Yu, Tao Chen, Zhongxue Gan
ConvFormer:Marrying and Evolving Nested U-Net and Scale-Aware Transformer for Hyperspectral Image Classifications
Published in IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2024
Zhan Lin, Peng Ye, Jiayuan Fan, Tao Chen
Vote2Cap-DETR++:Decoupling Localization and Describing for End-to-End 3D Dense Captioning
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024
Sijin Chen, Hongyuan Zhu, Mingsheng Li, Xin Chen, Peng Guo, Yinjie Lei, Gang Yu, Taihao Li, Tao Chen
[Paper] [Code]
Once for Both:Single Stage of Importance and Sparsity Search for Vision Transformer Compression
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Bo Zhang, Yansong Tang, Jiwen Lu, Tao Chen
MADTP:Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen
LL3DA:Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen
[Paper] [Project Page] [Code]
Push-and-Pull:A General Training Framework with Differential Augmentor for Domain Generalized Point Cloud Classification
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024
Jiahao Xu, Xinzhu Ma, Lin Zhang, Bo Zhang, Tao Chen
See Through the Real World Haze Scenes:Navigating the Synthetic-to-Real Gap in Challenging Image Dehazing
In Proc. International Conference on Robotics and Automation (ICRA), 2024
Shijie Chen, Mohammad Mahdizadeh, Chong Yu, Jiayuan Fan, Tao Chen
ReSimAD:Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
In Proc. International Conference on Learning Representations (ICLR), 2024
Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
[Paper]
2023
Multi-view Vision-Prompt Fusion Network:Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023
Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu
[Paper]
Boosting Residual Networks with Group Knowledge
In Proc. International Conference on Learning Representations (AAAI), 2023
Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang
[Paper]
Pm-INR:Prior-rich Multi-modal Implicit Large-scale Scene Neural Representation
In Proc. AAAI Conference on Artificial Intelligence (AAAI), 2023
Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen
MotionGPT:Human Motion as a Foreign Language
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang YU, Tao Chen
[Paper] [Project Page] [Code]
PDF:Point Diffusion Implicit Function for Large-scale Scene Neural Representation
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023
Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang YU, Tao Chen
Conditional 3D Shape Generation with Shape-Image-Text aligned Representation
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, BIN FU, Tao Chen, Gang YU, Shenghua Gao
[Paper] [Code]
AD-PT:Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2023
Jiakang Yuan, Bo Zhang, Xiangchao Yan, Botian Shi, Tao Chen, Yikang LI, Yu Qiao
[Paper] [Code]
DeNKD:Decoupled non-target Knowledge Distillation for Complementing Transformer-based Unsupervised Domain Adaptation
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023
Zhen Mei*, Peng Ye*, Baopu Li, Tao Chen, JiaYuan Fan and Wanli Ouyang
Rethinking Cross-Domain Pedestrian Detection:ABackground-Focused Distribution AlignmentFramework for One-Stage Detectors
Published in IEEE Transactions on Image Processing (TIP), 2023
Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu
[Paper]
Rethinking Pseudo-Label-Based Unsupervised Person Re-ID with Hierarchical Prototype-based Graph
In Proc. ACM Conference on Multimedia (ACM MM), 2023
Ben Sha, Baopu Li, Tao Chen, Jiayuan Fan, Tao Sheng
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
In Proc. IEEE International Conference on Computer Vision (ICCV), 2023
Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan
[Paper]
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
In Proc. IEEE International Conference on Computer Vision (ICCV), 2023
Chi Zhang, Wei Yin, Gang Yu, zhibin wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen
Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization
In Proc. Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chong Yu, Tao Chen, Zhongxue Gan
[Paper]
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2023
Chong Yu, Tao Chen, Zhongxue Gan
[Paper]
Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023
Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, T. Chen, and Wanli Ouyang
[Paper]
Hyperspectral lmage Classification Using Spectral-Spatial Token Enhanced Transformer With Hash-Based Positional Embedding
Published in IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Ke Wu, Jiayuan Fan, Peng Ye, and Mingzhen Zhu
[Paper]
Performance aware Approximation of Global Channel Pruning for Multitask CNNs
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023
H. Ye, B. Zhang, T. Chen, J. Fan, B. Wang
[Paper] [Code]
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Chong Yu, Tao Chen, Jiayuan Fan, Zhongxue Gan
[Paper]
Uni3D:A Unified Baseline for Multi-dataset 3D Object Detection
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang LI, Yu Qiao
[Paper] [Code]
Bi3D:Bi-domain Active Learning for Cross-domain 3D Object Detection
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang LI, Yu Qiao
[Paper] [Code]
Executing your Commands via Motion Diffusion in Latent Space
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang YU
[Paper] [Project Page] [Code]
End-to-End 3D Dense Captioning with Vote2Cap-DETR
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang YU
[Paper]
DCNet:Large-scale Point Cloud Semantic Segmentation with Discriminative and Efficient Feature Aggregation
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023
F. Yin, Z. Huang, T. Chen, G. Luo, G. Yu, B. Fu
[Paper]
2022
A Closer Look at Few-Shot 3D Point Cloud Classification
Published in International Journal of Computer Vision, 2022
Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen
[Paper]
Exploring Kernel-based Texture Transfer for Pose-guided Person Image Generation
Published in IEEE Transactions on Multimedia, 2022
J. Chen, J. Fan, H. Ye, J. Li, Y. Liao, T. Chen
[Paper]
Stimulative Training of Residual Networks:A Social Psychology Perspective of Loafing
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2022
P. Ye, S. Tang, B. Li, T. Chen, W. Ouyang
[Paper] [Code]
Coordinates Are NOT Lonely–Codebook Prior Helps Implicit Neural 3D Representations
In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2022
Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang YU
[Paper] [Code]
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Published in International Journal of Computer Vision, 2022
Peng Ye, Baopu Li, Tao Chen, Jiayuan Fan, Zhen Mei, Chen Lin, Chongyan Zuo, Qinghua Chi, Wanli Ouyang
[Paper]
An Efficient Multi-task Network for Pedestrian Intrusion Detection
Published in IEEE Transactions on Intelligent Vehicles, 2022
henyu Shi, Shibo He, Jingchen Sun, Tao Chen, Jiming Chen, Hairong Dong
[Paper]
Sample-centric Feature Generation for Semi-supervised Few-shot Learning
Published in IEEE Transactions on Image Processing, 2022
B. Zhang, C. Ye, G. Yu, B. Wang, Y. Wu, J. Fan, and T. Chen
[Paper]
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search
In Proc. ACM MM, 2022
Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen
[Paper]
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
In Proc. ACM MM, 2022
B. Zhang, J. Yuan, B. Li, T. Chen, J. Fan, B. Shi
[Paper] [Code]
Beta-decay regularization for differentiable architecture search
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR oral), 2022
P. Ye, B. Li, Y. Li, T. Chen, J. Fan, W. Ouyang
[Paper] [Code]
TopFormer:Token Pyramid Transformer for Mobile Semantic Segmentation
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
W. Zhang, Z. Huang, G. Luo, T. Chen, X. Wang, W. Liu, G. Yu, C. Shen
[Paper] [Code]
What Makes for Effective Few-shot Point Cloud Classification
In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), 2022
C. Ye, H. Zhu, Y. Liao, Y. Zhang, T. Chen, J. Fan.
[Paper]
2021
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Y. Liao, H. zhu, Y. Zhang, C. Ye, T. Chen, J. Fan
[Paper] [Code]
SC-EADNet:A Self-supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification
Published in IEEE Transactions on Geoscience and Remote Sensing, 2021
M. Zhu, J. Fan, Q. Yang, T. Chen
[Paper] [Code]
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation
Published in IEEE Transactions on Geoscience and Remote Sensing, 2021
B. Zhang, T. Chen, B. Wang
[Paper] [Code]
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection
Published in IEEE Transactions on Multimedia, 2021
B. Zhang, T. Chen, B. Wang, R. Li
[Paper] [Code]
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021
B. Zhang, T. Chen, X. F. Wu, L. M. Zhang, J. Fan
[Paper]
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
In Proc. ACM MM, 2021
Y. Wu, B. Zhang, G. Yu, W. Zhang, B. Wang, T. Chen, J. Fan
[Paper]
HSEGAN:Hair Synthesis and Editing using Structure-Adaptive Normalization on Generative Adversarial Network
In Proc. IEEE International Conference on Image Processing (ICIP), 2021
W. Fan, J. Fan, G. Yu, B. Fu, T. Chen
[Paper]
SPCR:Semi-supervised point cloud instance segmentation with perturbation consistency regularization
In Proc. IEEE International Conference on Image Processing (ICIP), 2021
Y. Liao, H. Zhu, T. Chen, J. Fan
[Paper]
EADNET:Efficient Asymmetric Dilated Network For Semantic Segmentation
In Proc. IEEE ICASSP, 2021
Q. Yang, T. Chen, J. Fan, Y. Lu, C. Zuo, Q. Chi
[Paper]
Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance
In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
J. Chen, J. Zhang, E. Sangineto, T. Chen, F. Jia, N. Cebe
[Paper]
2020
M3Lung-Sys:A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Published in IEEE Journal of Biomedical and Health Informatics (JBHI), 2020
X. Qian, H. Fu, W. Shi, T. Chen, Y. Fu, F. Shan, X. Xue
[Paper] [Project Page]
A Bottom-Up Approach for Robust Spotting of Texts in Scenes
Published in Journal of Visual Communication and Image Representation (JVCIR), 2020
J. Fan, T. Chen, F. Zhou
[Paper]
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model
Published in Neurocomputing, 2020
F. Zhou, S. Kong, C. C. Fowlkes, T. Chen, B. Lei
[Paper]
PIDNet:An Efficient Network for Dynamic Pedestrian Intrusion Detection
In Proc. ACM Conference on Multimedia (ACM MM), 2020
J. Sun, J. Chen, T. Chen, J. Fan, S. He
[Paper]
Cascade EF-GAN:Progressive Facial Expression Editing with Local Focuses
In Proc. IEEE Internatonal Conference on Computer Vision and Pattern Recognition (CVPR, Oral), 2020
R. Wu, G. Zhang, S. Lu, T. Chen
[Paper]
2019
SS-HCNN:Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification
Published in IEEE Transactions on Image Processing (T-IP), 2019
T. Chen, S. Lu, J.Fan*
[Paper]
Comp-GAN:Compositional Generative Adversarial Network in Synthesizing and Recognizing Facial Expression
In Proc. ACM International Conference on Multimedia (ACM MM), 2019
W. Wang, Q. Sun, Y.Fu, T. Chen, C. Cao, Z. Zheng, G. Xu, H. Qiu, Y. Jiang and X. Xue
[Paper]
2018
S-CNN:Subcategory-aware convolutional networks for object detection
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018
T. Chen, S. Lu, J.Fan
[Paper]
2017
Robust vehicle detection and viewpoint estimation with soft discriminative mixture mode
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2017
T. Chen, S. Lu
[Paper]
Superpixel Guided Deep-Sparse-Representation Learning For Hyperspectral Image Classification
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2017
J. Fan, T. Chen* (Corresponding Author), S. Lu
[Paper]
Subcategory-aware feature selection and SVM optimization for automatic aerial image based oil spill inspection
Published in IEEE Transactions on GeoScience and Remote Sensing (T-GRS), 2017
T. Chen, S. Lu
[Paper]
Unsupervised Feature Learning For Land -Use Scene Recognition
Published in IEEE Transactions on GeoScience and Remote Sensing (T -GRS ), 2017
Fan J. Y. , T. Chen, S. Lu
[Paper]
Object-level motion detection from moving optic cameras
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2017
T. Chen, S. Lu
[Paper]
2016
Accurate and Efficient Traffic Sign Detection Using Discriminative Adaboost and Support Vector Regression
Published in IEEE Transactions on Vehicular Technology (T-VT), 2016
T. Chen, S. Lu
[Paper]
EXIF-white balance recognition for image forensic analysis
Published in Multidimensional Systems and Signal Processing (MSSP), 2016
Fan. Y. Fan, T. Chen, C.C. Kot
[Paper]
2015
Scene Text Extraction based on Edges and Support Vector Regression
Published in International Journal on Document Analysis and Recognition (IJDAR), 2015
S. Lu, T. Chen, S. Tian, J.-H. Lim, T.- C. Lim
[Paper]
Landmark Recognition with Compact BoW Histogram and Ensemble ELM
Published in Multimedia Tools and Applications (MTAP), 2015
J. W. Cao, T. Chen, J. Y. Fan
[Paper]
Context-Aware Vocabulary Tree for Mobile Landmark Recognition
Published in Journal of Visual Communication and Image Representation (JVCIR), 2015
T. Chen, S. Lu, J. Y. Fan
[Paper]
Extreme Learning Machine on High Dimensional and Large Data Applications
Published in Mathematical Problems in Engineering, 2015
Z. P. Lin, J. W. Cao, T. Chen
[Paper]
Context-Aware Lane Marking Detection On Urban Roads
In Proc. IEEE International Conference on Image Processing (ICIP), 2015
T. Chen, S. Lu
[Paper]
Vegetation Coverage Detection from Very High Resolution Satellite Imagery
In Proc. IEEE International Conference on Visual Communications and Image Processing (VCIP), 2015
J.Fan, T. Chen, S. Lu
[Paper]
Reversible Watermarking Using Enhanced Local Prediction
In Proc. IEEE International Conference on Image Processing (ICIP), 2015
J.Fan, T. Chen
[Paper]
Landmark Recognition via Sparse Representation
In Proc. IEEE International Conference on Digital Signal Processing (DSP), 2015
J.W. CAO, Y.F.ZHAO, X.P. LAI, T. Chen
[Paper]
Image Tampering Detection Using Noise Histogram Features
In Proc. IEEE International Conference on Digital Signal Processing (DSP), 2015
J.FAN, T.CHEN and J.W.Cao
[Paper]
DPM REVISITED:Utilizing Root-Part Spatial Distribution For Vehicle Viewpoint Estimation
In Proc. IEEE International Conference on Image Processing (ICIP), 2015
T. Chen, S. Lu
[Paper]
2014
Discriminative Soft Bag-of-Visual Phrase for Mobile Landmark Recognition
Published in IEEE Transactions on Multimedia (T-MM), 2014
T. Chen, S. Lu, J. Y. Fan
[Paper]
Context-aware codebook learning for landmark recognition
In Proc. IEEE International Conference on Image Processing (ICIP), 2014
T. Chen, J. Y. Fan, S. Lu
[Paper]
Fast Online Learning Algorithm for Landmark Recognition based on BoW Framework
In Proc. IEEE Conference on Industrial and Electronics Applications (ICIEA), 2014
J.W. Cao, T. Chen, J. Y. Fan
[Paper]
2013
Context-Aware Discriminative Vocabulary Learning for Mobile Landmark Recognition
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2013
T. Chen, K.-H. Yap
[Paper]
Discriminative BoW Framework for Mobile Landmark Recognition
Published in IEEE Transactions on Systems, Man and Cybernetics (T-SMC), 2013
T. Chen, K.-H. Yap
[Paper]
2012
Discriminative Bag-of-Visual Phrase Learning for Landmark Recognition
In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Oral Presentation), 2012
T. Chen, K.- H. Yap
[Paper]
2011
Integrated Content and Context Analysis for Mobile Landmark Recognition
Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2011
T. Chen, K.-H. Yap, and L.-P. Chau
[Paper]
Content and Context Information Fusion for Mobile Landmark Recognition
In Proc. International Conference on Information, Communications and Signal Processing (ICICS), 2011
T. Chen, K.- H. Yap, and L.-P. Chau
[Paper]
From Universal Bag-of-Words to Adaptive Bag-of-Phrase for Scene Recognition
In Proc. IEEE International Conference on Image Processing (ICIP), 2011
T. Chen, K.- H. Yap, and L.-P. Chau
[Paper]
A Discriminative Learning Approach for Mobile Landmark Recognition
In Proc. IEEE International Conference on Image Processing (ICIP), 2011
T. Chen, K.- H. Yap, and L.-P. Chau
[Paper]
2010
A Comparative Study of Mobile-based Landmark Recognition
Published in IEEE Intelligent Systems (IS), 2010
K.-H. Yap, T. Chen,L. Zhen and K. Wu(First Author is PhD supervisor)
[Paper]
2009
A Survey on Mobile Landmark Recognition for Information Retrieval Systems
In Proc. MDM International Workshop on Mobile Media Retrieval, 2009
T. Chen, K. Wu, K.-H. Yap, Z. Li, and F. S. Tsai
[Paper]
A Multi-scale Learning Approach for Landmark Recognition Using Mobile Devices
In Proc. International Conference on Information, Communications and Signal Processing (ICICS), 2009
T. Chen, Z. Li, K.-H. Yap, K. Wu, and L.-P. Chau
[Paper]
2008
A Multi-Channel Identity Verification System based on Face and Voice
Published in Journal of Shandong University (Engineering Science), 2008
T. Chen, Z. G. Fang, J. Xu
A Speaker Identity System based on Verification Mode
Published in Journal of Ergonomics, 2008
T. Chen, Z. G. Fang, J. Xu