Tao Chen 陈涛

Tao Chen 陈涛

Professor (Tenured)

Publications

2025

Breaking the Compression Ceiling:Data-Free Pipeline for Ultra-Efficient Delta Compression

In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2025
Xiaohui Wang, Peng Ye, Chenyu Huang, Shenghe Zheng, Bo Zhang, LEI BAI, Wanli Ouyang, Tao Chen
[Paper]

PaceLLM:Brain-Inspired Large Language Models for Long-Context Understanding

In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2025
Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen
[Paper]

FAVOR-Bench:A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

In Proc. Conference on Neural Information Processing Systems (NeurIPS), 2025
Chongjun Tu, Lin Zhang, Pengtao Chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang YU, Tao Chen
[Paper] [Project Page]

Taylor-Series-Expansion-Based Vision Transformer Models

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025
Chong Yu, Tao Chen, Zhongxue Gan

DOLPHIN:Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback

In Proc. Association for Computational Linguistics(ACL) Main Conference, 2025
Jiakang Yuan, Xiangchao Yan, Shiyang Feng, Bo Zhang, Tao Chen, Botian Shi, Wanli Ouyang, Yu Qiao, Lei Bai, Bowen Zhou

Boost Embodied AI Models with Robust Compression Boundary

In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2025
Chong Yu, Tao Chen, Zhongxue Gan

Mamba-Based Progressive-Recovery Framework forMultimodal Low Light Image Enhancement

Published in IEEE Transactions on Multimedia (T-MM), 2025
Mohammad Mahdizadeh, Jianjian Cao, Peng Ye, Tao Chen

Stimulative Training++:Go Beyond The Performance Limits of Residual Networks

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025
Peng Ye, Tong He, Shengji Tang, Baopu Li, Tao Chen, Lei Bai, Wanli Ouyang
[Paper] [Code]

Once-Tuning-Multiple-Variants:Tuning Once and Expanded as Multiple Vision-Language Model Variants

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Chong Yu, Tao Chen, Zhongxue Gan

Pioneering 4-Bit FP Quantization for Diffusion Models:Mixup-Sign Quantization and Timestep-Aware Fine-Tuning

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Maosen Zhao, Pengtao Chen, Chong Yu, Yan Wen, Xudong Tan, Tao Chen

Consistency-aware Self-Training for Iterative-based Stereo Matching

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Jingyi Zhou, Peng Ye, Haoyu Zhang, Jiakang Yuan, Rao Qiang, Liu YangChenXu, Wu Cailin, Feng Xu, Tao Chen

DeRS:Towards Extremely Efficient Upcycled Mixture-of-Experts Models

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Yongqi Huang, Peng Ye, Chenyu Huang, Jianjian Cao, Lin Zhang, Baopu Li, Gang YU, Tao Chen

Dynamic Model Merging with Mixture of Weights

Published in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2025
Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Wanli Ouyang
[Paper]

Learnable Bi-directional Data Augmentation for few-shot cross-domain point cloud classification

Published in Neurocomputing, 2025
Xu Sun, Lin Zhang, Jiahao Xu, Jiakang Yuan, Tao Chen

BridgeNet:Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025
Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen
[Paper]

GeoX:Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

In Proc. International Conference on Learning Representations (ICLR), 2025
Renqiu Xia, Mingsheng Li, Hancheng Ye, Wenjie Wu, Hongbin Zhou, Jiakang Yuan, Tianshuo Peng, Xinyu Cai, Xiangchao Yan, Bin Wang, Conghui He, Botian Shi, Tao Chen, Junchi Yan, Bo Zhang
[Paper] [Code]

HiSplat:Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction

In Proc. International Conference on Learning Representations (ICLR), 2025
Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang
[Paper] [Project Page] [Code]

ClipSAM:CLIP and SAM collaboration for zero-shot anomaly segmentation

Published in Neurocomputing, 2025
Shengze Li, Jianjian Cao, Peng Ye, Yuhan Ding, Chongjun Tu, Tao Chen
[Paper]

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2024

All-in-One:Transferring Vision Foundation Models into Stereo Matching

In Proc. Association for the Advancement of Artificial Intelligence (AAAI), 2024
Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang
[Paper]

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]

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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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]

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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

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