Bing Li

According to our database, Bing Li authored at least 176 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cross-Architecture Knowledge Distillation.

Yufan Liu, Jiajiong Cao, Bing Li, Weiming Hu, Jingting Ding, Liang Li, Stephen J. Maybank

Int. J. Comput. Vis., August, 2024

Joint Learning of Audio-Visual Saliency Prediction and Sound Source Localization on Multi-face Videos.

Minglang Qiao, Yufan Liu, Mai Xu, Xin Deng, Bing Li, Weiming Hu, Ali Borji

Int. J. Comput. Vis., June, 2024

DCFNet: Discriminant Correlation Filters Network for Visual Tracking.

Weiming Hu, Qiang Wang, Jin Gao, Bing Li, Stephen J. Maybank

J. Comput. Sci. Technol., May, 2024

DARTScore: DuAl-Reconstruction Transformer for Video Captioning Evaluation.

Yuxin Chen, Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Jie Wang, Ying Shan, Bing Li, Weiming Hu, Xiaohu Qie, Jianping Wu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking.

Jin Gao, Yan Lu, Xiaojuan Qi, Yutong Kou, Bing Li, Liang Li, Shan Yu, Weiming Hu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation.

Cheng Feng, Zhen Chen, Congxuan Zhang, Weiming Hu, Bing Li, Feng Lu

IEEE Trans. Circuits Syst. Video Technol., January, 2024

DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition.

Shuaiqi Liu, Zeyao Wang, Yanling An, Bing Li, Xinrui Wang, Yudong Zhang

Knowl. Based Syst., January, 2024

LG-DBNet: Local and Global Dual-Branch Network for SAR Image Denoising.

Shuaiqi Liu, Shikang Tian, Yuhang Zhao, Qi Hu, Bing Li, Yudong Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

UMTF-Net: An Unsupervised Multiscale Transformer Fusion Network for Hyperspectral and Multispectral Image Fusion.

Shuaiqi Liu, Shichong Zhang, Siyuan Liu, Bing Li, Yudong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Chinese Title Generation for Short Videos: Dataset, Metric and Algorithm.

Ziqi Zhang, Zongyang Ma, Chunfeng Yuan, Yuxin Chen, Peijin Wang, Zhongang Qi, Chenglei Hao, Bing Li, Ying Shan, Weiming Hu, Stephen J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., 2024

MAS-DGAT-Net: A dynamic graph attention network with multibranch feature extraction and staged fusion for EEG emotion recognition.

Shuaiqi Liu, Xinrui Wang, Mingqi Jiang, Yanling An, Zhihui Gu, Bing Li, Yu-Dong Zhang

Knowl. Based Syst., 2024

VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization.

Yiwei Zhang, Jin Gao, Fudong Ge, Guan Luo, Bing Li, Zhaoxiang Zhang, Haibin Ling, Weiming Hu

CoRR, 2024

Token Caching for Diffusion Transformer Acceleration.

Jinming Lou, Wenyang Luo, Yufan Liu, Bing Li, Xinmiao Ding, Weiming Hu, Jiajiong Cao, Yuming Li, Chenguang Ma

CoRR, 2024

MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation.

Zewen Chen, Sunhan Xu, Yun Zeng, Haochen Guo, Jian Guo, Shuai Liu, Juan Wang, Bing Li, Weiming Hu, Dehua Liu, Hesong Li

CoRR, 2024

NFT1000: A Visual Text Dataset For Non-Fungible Token Retrieval.

Shuxun Wang, Yunfei Lei, Ziqi Zhang, Wei Liu, Haowei Liu, Li Yang, Wenjuan Li, Bing Li, Weiming Hu

CoRR, 2024

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment.

Zewen Chen, Juan Wang, Bing Li, Chunfeng Yuan, Weiming Hu, Junxian Liu, Peng Li, Yan Wang, Youqun Zhang, Congxuan Zhang

CoRR, 2024

DeepGCN based on variable multi-graph and multimodal data for ASD diagnosis.

Shuaiqi Liu, Siqi Wang, Chaolei Sun, Bing Li, Shuihua Wang, Fei Li

CAAI Trans. Intell. Technol., 2024

NFT1000: A Cross-Modal Dataset For Non-Fungible Token Retrieval.

Shuxun Wang, Yunfei Lei, Ziqi Zhang, Wei Liu, Haowei Liu, Li Yang, Bing Li, Wenjuan Li, Jin Gao, Weiming Hu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learn from Noise: Detecting Deepfakes via Regional Noise Consistency.

Weiming Bai, Yufan Liu, Zhipeng Zhang, Xinyi Zhang, Bo Wang, Chengwei Peng, Weiming Hu, Bing Li

Proceedings of the International Joint Conference on Neural Networks, 2024

MIBench: Evaluating Multimodal Large Language Models over Multiple Images.

Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EA-VTR: Event-Aware Video-Text Retrieval.

Zongyang Ma, Ziqi Zhang, Yuxin Chen, Zhongang Qi, Chunfeng Yuan, Bing Li, Yingmin Luo, Xu Li, Xiaojuan Qi, Ying Shan, Weiming Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts.

Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li, Weiming Hu, Liang Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?

Yuxin Chen, Zongyang Ma, Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Bing Li, Junfu Pu, Ying Shan, Xiaojuan Qi, Weiming Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval.

Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training.

Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing.

Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning.

Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Peng Li, Yan Wang, Bing Li, Weiming Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cosine Multilinear Principal Component Analysis for Recognition.

Feng Han, Chengcai Leng, Bing Li, Anup Basu, Licheng Jiao

IEEE Trans. Big Data, December, 2023

Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting.

Juan Wang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu, Stephen J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Ranking-Based Color Constancy With Limited Training Samples.

Bing Li, Haina Qin, Weihua Xiong, Yangxi Li, Songhe Feng, Weiming Hu, Stephen J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

A unified end-to-end classification model for focal liver lesions.

Ling Zhao, Shuaiqi Liu, Yanling An, Wenjia Cai, Bing Li, Shui-Hua Wang, Ping Liang, Jie Yu, Jie Zhao

Biomed. Signal Process. Control., September, 2023

TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition.

Haowei Liu, Yongcheng Liu, Yuxin Chen, Chunfeng Yuan, Bing Li, Weiming Hu

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Jointing Recurrent Across-Channel and Spatial Attention for Multi-Object Tracking With Block-Erasing Data Augmentation.

Keyu Deng, Congxuan Zhang, Zhen Chen, Weiming Hu, Bing Li, Feng Lu

IEEE Trans. Circuits Syst. Video Technol., August, 2023

β-divergence NMF with biorthogonal regularization for data representation.

Ruixue Yuan, Chengcai Leng, Bing Li, Anup Basu

Eng. Appl. Artif. Intell., May, 2023

Face swapping detection based on identity spatial constraints with weighted frequency division.

Zupeng Ai, Chengwei Peng, Jun Jiang, Zekun Li, Bing Li

Multim. Syst., April, 2023

Dynamic adjustment of hyperparameters for anchor-based detection of objects with large image size differences.

Ying Deng, Xinliang Hu, Da Teng, Bing Li, Congxuan Zhang, Weiming Hu

Pattern Recognit. Lett., March, 2023

Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression.

Yufan Liu, Jiajiong Cao, Bing Li, Weiming Hu, Stephen J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes.

Ying Deng, Xingliang Hu, Bing Li, Congxuan Zhang, Weiming Hu

Pattern Recognit. Lett., February, 2023

Learning Video-Text Aligned Representations for Video Captioning.

Yaya Shi, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha

ACM Trans. Multim. Comput. Commun. Appl., 2023

MFAENet: A Multiscale Feature Adaptive Enhancement Network for SAR Image Despeckling.

Shuaiqi Liu, Luyao Zhang, Shikang Tian, Qi Hu, Bing Li, Yudong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Circle-Net: An Unsupervised Lightweight-Attention Cyclic Network for Hyperspectral and Multispectral Image Fusion.

Shuaiqi Liu, Siyu Miao, Siyuan Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Robust dual-graph discriminative NMF for data classification.

Ge Lu, Chengcai Leng, Bing Li, Licheng Jiao, Anup Basu

Knowl. Based Syst., 2023

Hierarchical Curriculum Learning for No-Reference Image Quality Assessment.

Juan Wang, Zewen Chen, Chunfeng Yuan, Bing Li, Wentao Ma, Weiming Hu

Int. J. Comput. Vis., 2023

RT-MonoDepth: Real-time Monocular Depth Estimation on Embedded Systems.

Cheng Feng, Zhen Chen, Congxuan Zhang, Weiming Hu, Bing Li, Feng Lu

CoRR, 2023

Exploiting Contextual Objects and Relations for 3D Visual Grounding.

Li Yang, Chunfeng Yuan, Ziqi Zhang, Zhongang Qi, Yan Xu, Wei Liu, Ying Shan, Bing Li, Weiping Yang, Peng Li, Yan Wang, Weiming Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking.

Yutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu, Yizheng Wang, Liang Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval.

Yaya Shi, Haowei Liu, Haiyang Xu, Zongyang Ma, Qinghao Ye, Anwen Hu, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha

Proceedings of the 31st ACM International Conference on Multimedia, 2023

SMM: Self-supervised Multi-Illumination Color Constancy Model with Multiple Pretext Tasks.

Ziyu Feng, Zheming Xu, Haina Qin, Congyan Lang, Bing Li, Weihua Xiong

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Order-Prompted Tag Sequence Generation for Video Tagging.

Zongyang Ma, Ziqi Zhang, Yuxin Chen, Zhongang Qi, Yingmin Luo, Zekun Li, Chunfeng Yuan, Bing Li, Xiaohu Qie, Ying Shan, Weiming Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning from the Raw Domain: Cross Modality Distillation for Compressed Video Action Recognition.

Yufan Liu, Jiajiong Cao, Weiming Bai, Bing Li, Weiming Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization.

Haina Qin, Longfei Han, Weihua Xiong, Juan Wang, Wentao Ma, Bing Li, Weiming Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ViLEM: Visual-Language Error Modeling for Image-Text Retrieval.

Yuxin Chen, Zongyang Ma, Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Weiming Hu, Xiaohu Qie, Jianping Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AUNet: Learning Relations Between Action Units for Face Forgery Detection.

Weiming Bai, Yufan Liu, Zhipeng Zhang, Bing Li, Weiming Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality.

Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition.

Shuaiqi Liu, Xu Wang, Ling Zhao, Bing Li, Weiming Hu, Jie Yu, Yudong Zhang

IEEE J. Biomed. Health Informatics, 2022

PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling.

Li Yang, Yan Xu, Shaoru Wang, Chunfeng Yuan, Ziqi Zhang, Bing Li, Weiming Hu

IEEE Trans. Image Process., 2022

Narrowing the Gap: Improved Detector Training With Noisy Location Annotations.

Shaoru Wang, Jin Gao, Bing Li, Weiming Hu

IEEE Trans. Image Process., 2022

Rethinking the Competition Between Detection and ReID in Multiobject Tracking.

Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Shuyuan Zhu, Weiming Hu

IEEE Trans. Image Process., 2022

SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion.

Shuaiqi Liu, Siyuan Liu, Shichong Zhang, Bing Li, Weiming Hu, Yu-Dong Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising.

Shuaiqi Liu, Yu Lei, Luyao Zhang, Bing Li, Weiming Hu, Yudong Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking.

Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu

IEEE Trans. Circuits Syst. Video Technol., 2022

SDTP: Semantic-Aware Decoupled Transformer Pyramid for Dense Image Prediction.

Zekun Li, Yufan Liu, Bing Li, Bailan Feng, Kebin Wu, Chengwei Peng, Weiming Hu

IEEE Trans. Circuits Syst. Video Technol., 2022

Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification.

Weiming Hu, Haowei Liu, Yang Du, Chunfeng Yuan, Bing Li, Stephen J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., 2022

PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning.

Yifan Lu, Ziqi Zhang, Yuxin Chen, Chunfeng Yuan, Bing Li, Weiming Hu

CoRR, 2022

CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation.

Ziqi Zhang, Yuxin Chen, Zongyang Ma, Zhongang Qi, Chunfeng Yuan, Bing Li, Ying Shan, Weiming Hu

CoRR, 2022

Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging.

Shuaiqi Liu, Ling Zhao, Jie Zhao, Bing Li, Shui-Hua Wang

Biomed. Signal Process. Control., 2022

Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification.

Wenyang Luo, Yufan Liu, Bing Li, Weiming Hu, Yanan Miao, Yangxi Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Target-aware Representation for Visual Tracking via Informative Interactions.

Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Inter-Intra Cross-Modality Self-Supervised Video Representation Learning by Contrastive Clustering.

Jiutong Wei, Guan Luo, Bing Li, Weiming Hu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Learnable Pixel Clustering Via Structure and Semantic Dual Constraints for Unsupervised Image Segmentation.

Bo Wang, Shiang Wang, Chunfeng Yuan, Zhonghai Wu, Bing Li, Weiming Hu, Jeffrey Xiong

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines.

Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li, Bing Li, Weiming Hu

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning.

Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, Weiming Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching.

Yaya Shi, Xu Yang, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring Motion Information for Distractor Suppression in Visual Tracking.

Kaiwen Liu, Jin Gao, Haowei Liu, Liang Li, Bing Li, Weiming Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Cross-Architecture Knowledge Distillation.

Yufan Liu, Jiajiong Cao, Bing Li, Weiming Hu, Jingting Ding, Liang Li

Proceedings of the Computer Vision - ACCV 2022, 2022

Teacher-Guided Learning for Blind Image Quality Assessment.

Zewen Chen, Juan Wang, Bing Li, Chunfeng Yuan, Weihua Xiong, Rui Cheng, Weiming Hu

Proceedings of the Computer Vision - ACCV 2022, 2022

One More Check: Making "Fake Background" Be Tracked Again.

Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression.

Xiaofeng Ruan, Yufan Liu, Chunfeng Yuan, Bing Li, Weiming Hu, Yangxi Li, Stephen J. Maybank

IEEE Trans. Neural Networks Learn. Syst., 2021

Toward Accurate Pixelwise Object Tracking via Attention Retrieval.

Zhipeng Zhang, Yufan Liu, Bing Li, Weiming Hu, Houwen Peng

IEEE Trans. Image Process., 2021

Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization.

Bo Wang, Chunfeng Yuan, Bing Li, Xinmiao Ding, Zeya Li, Ying Wu, Weiming Hu

IEEE Trans. Image Process., 2021

Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm.

Weiming Bai, Zhipeng Zhang, Bing Li, Pei Wang, Yangxi Li, Congxuan Zhang, Weiming Hu

IEEE Trans. Image Process., 2021

Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection.

Xinmiao Ding, Bing Li, Yangxi Li, Wen Guo, Yao Liu, Weihua Xiong, Weiming Hu

IEEE Trans. Circuits Syst. Video Technol., 2021

UMAG-Net: A New Unsupervised Multiattention-Guided Network for Hyperspectral and Multispectral Image Fusion.

Shuaiqi Liu, Siyu Miao, Jian Su, Bing Li, Weiming Hu, Yu-Dong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Design and Application of Mixed Natural Gas Monitoring System Using Artificial Neural Networks.

Jinlei Wang, Bing Li, Bingjie Lei, Peiyuan Ma, Sai Lian, Ning Wang, Xin Li, Shaochong Lei

Sensors, 2021

Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos.

Minglang Qiao, Yufan Liu, Mai Xu, Xin Deng, Bing Li, Weiming Hu, Ali Borji

CoRR, 2021

SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction.

Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Kebin Wu, Pei Wang

CoRR, 2021

PDNet: Towards Better One-stage Object Detection with Prediction Decoupling.

Li Yang, Yan Xu, Shaoru Wang, Chunfeng Yuan, Ziqi Zhang, Bing Li, Weiming Hu

CoRR, 2021

One More Check: Making "Fake Background" Be Tracked Again.

Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Yi Lu, Weiming Hu

CoRR, 2021

Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection.

Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Xue Zhou

Proceedings of the International Joint Conference on Neural Networks, 2021

DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection.

Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Yanan Miao, Hong Zhang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Learn to Match: Automatic Matching Network Design for Visual Tracking.

Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition.

Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Practical Face Swapping Detection Based on Identity Spatial Constraints.

Jun Jiang, Bo Wang, Bing Li, Weiming Hu

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

Open-Book Video Captioning With Retrieve-Copy-Generate Network.

Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Ying Deng, Weiming Hu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch.

Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, Weiming Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression.

Weiming Hu, Jun Gao, Bing Li, Ou Wu, Junping Du, Stephen J. Maybank

IEEE Trans. Knowl. Data Eng., 2020

Anisotropic Convolution for Image Classification.

Wenjuan Li, Bing Li, Chunfeng Yuan, Yangxi Li, Haohao Wu, Weiming Hu, Fangshi Wang

IEEE Trans. Image Process., 2020

Multi-Cue Semi-Supervised Color Constancy With Limited Training Samples.

Xinwei Huang, Bing Li, Shuai Li, Wenjuan Li, Weihua Xiong, Xuanwu Yin, Weiming Hu, Hong Qin

IEEE Trans. Image Process., 2020

Manipulating Template Pixels for Model Adaptation of Siamese Visual Tracking.

Zhenbang Li, Bing Li, Jin Gao, Liang Li, Weiming Hu

IEEE Signal Process. Lett., 2020

Graph convolutional network with structure pooling and joint-wise channel attention for action recognition.

Yuxin Chen, Gaoqun Ma, Chunfeng Yuan, Bing Li, Hui Zhang, Fangshi Wang, Weiming Hu

Pattern Recognit., 2020

DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection.

Zekun Li, Yufan Liu, Bing Li, Weiming Hu

CoRR, 2020

Rethinking the competition between detection and ReID in Multi-Object Tracking.

Chao Liang, Zhipeng Zhang, Yi Lu, Xue Zhou, Bing Li, Xiyong Ye, Jianxiao Zou

CoRR, 2020

Globally Spatial-Temporal Perception: a Long-Term Tracking System.

Zhenbang Li, Qiang Wang, Jin Gao, Bing Li, Weiming Hu

Proceedings of the IEEE International Conference on Image Processing, 2020

End-to-End Temporal Feature Aggregation for Siamese Trackers.

Zhenbang Li, Qiang Wang, Jin Gao, Bing Li, Weiming Hu

Proceedings of the IEEE International Conference on Image Processing, 2020

Ocean: Object-Aware Anchor-Free Tracking.

Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model.

Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji

Proceedings of the Computer Vision - ECCV 2020, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Object Relational Graph With Teacher-Recommended Learning for Video Captioning.

Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zheng-Jun Zha

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Asymmetric 3D Convolutional Neural Networks for action recognition.

Hao Yang, Chunfeng Yuan, Bing Li, Yang Du, Junliang Xing, Weiming Hu, Stephen J. Maybank

Pattern Recognit., 2019

VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning.

Ziqi Zhang, Yaya Shi, Jiutong Wei, Chunfeng Yuan, Bing Li, Weiming Hu

CoRR, 2019

Multimodal Semantic Attention Network for Video Captioning.

Liang Sun, Bing Li, Chunfeng Yuan, Zhengjun Zha, Weiming Hu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.

Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Knowledge Distillation via Instance Relationship Graph.

Yufan Liu, Jiajiong Cao, Bing Li, Chunfeng Yuan, Weiming Hu, Yangxi Li, Yunqiang Duan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification.

Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, Weiming Hu

Proceedings of the Computer Vision - ECCV 2018, 2018

Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition.

Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, Lili Zhao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Salient Object Detection via Structured Matrix Decomposition.

Houwen Peng, Bing Li, Haibin Ling, Weiming Hu, Weihua Xiong, Stephen J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning.

Bing Li, Chunfeng Yuan, Weihua Xiong, Weiming Hu, Houwen Peng, Xinmiao Ding, Steve J. Maybank

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos.

Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Stephen J. Maybank

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning.

Ou Wu, Haiqiang Zuo, Weiming Hu, Bing Li

IEEE Trans. Multim., 2016

Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition.

Weiming Hu, Xinmiao Ding, Bing Li, Jianchao Wang, Yan Gao, Fangshi Wang, Stephen J. Maybank

IEEE Trans. Multim., 2016

Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation.

Xinmiao Ding, Bing Li, Weihua Xiong, Wen Guo, Weiming Hu, Bo Wang

IEEE Trans. Multim., 2016

SubMIL: Discriminative subspaces for multi-instance learning.

Jia-Zheng Yuan, Xiankai Huang, Hongzhe Liu, Bing Li, Weihua Xiong

Neurocomputing, 2016

Multi-Cue Illumination Estimation via a Tree-Structured Group Joint Sparse Representation.

Bing Li, Weihua Xiong, Weiming Hu, Brian V. Funt, Junliang Xing

Int. J. Comput. Vis., 2016

A Novel Emotional Saliency Map to Model Emotional Attention Mechanism.

Xinmiao Ding, Lulu Huang, Bing Li, Congyan Lang, Zhen Hua, Yuling Wang

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Bootstrapping deep feature hierarchy for pornographic image recognition.

Kai Li, Junliang Xing, Bing Li, Weiming Hu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition.

Pei Wang, Chunfeng Yuan, Weiming Hu, Bing Li, Yanning Zhang

Proceedings of the Computer Vision - ECCV 2016, 2016

Image Copy Detection Based on Convolutional Neural Networks.

Jing Zhang, Wenting Zhu, Bing Li, Weiming Hu, Jinfeng Yang

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

Bing Li, Weihua Xiong, Ou Wu, Weiming Hu, Stephen J. Maybank, Shuicheng Yan

IEEE Trans. Image Process., 2015

Predicting Image Memorability by Multi-view Adaptive Regression.

Houwen Peng, Kai Li, Bing Li, Haibin Ling, Weihua Xiong, Weiming Hu

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Fast Film Genres Classification Combining Poster and Synopsis.

Zhikang Fu, Bing Li, Jun Li, Shuhua Wei

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2014

Evaluating Combinational Illumination Estimation Methods on Real-World Images.

Bing Li, Weihua Xiong, Weiming Hu, Brian V. Funt

IEEE Trans. Image Process., 2014

Hierarchical sparse representation based Multi-Instance Semi-Supervised Learning with application to image categorization.

Songhe Feng, Weihua Xiong, Bing Li, Congyan Lang, Xiankai Huang

Signal Process., 2014

RGBD Salient Object Detection: A Benchmark and Algorithms.

Houwen Peng, Bing Li, Weihua Xiong, Weiming Hu, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Horror Text Recognition Based on Generalized Expectation Criteria.

Guoqi Liu, Bing Li, Weiming Hu, Jinfeng Yang

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Spatio-temporal Features for Efficient Video Copy Detection.

Ruijuan Hu, Bing Li, Weiming Hu, Jinfeng Yang

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Robust Object Tracking with Online Multi-lifespan Dictionary Learning.

Junliang Xing, Jin Gao, Bing Li, Weiming Hu, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2013

Illumination Estimation Based on Bilayer Sparse Coding.

Bing Li, Weihua Xiong, Weiming Hu, Houwen Peng

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition.

Houwen Peng, Bing Li, Rongrong Ji, Weiming Hu, Weihua Xiong, Congyan Lang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Efficient Clustering Aggregation Based on Data Fragments.

Ou Wu, Weiming Hu, Stephen J. Maybank, Mingliang Zhu, Bing Li

IEEE Trans. Syst. Man Cybern. Part B, 2012

An evidential reasoning based classification algorithm and its application for face recognition with class noise.

Xiaodong Wang, Fang Liu, Licheng Jiao, Zhiguo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang

Pattern Recognit., 2012

Color Constant Descriptors Combining Image Derivative Structures.

Hong Bao, De Xu, Bing Li

Comput. Informatics, 2012

Context-aware affective images classification based on bilayer sparse representation.

Bing Li, Weihua Xiong, Weiming Hu, Xinmiao Ding

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Scaring or pleasing: exploit emotional impact of an image.

Bing Li, Songhe Feng, Weihua Xiong, Weiming Hu

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Towards relevance and saliency ranking of image tags.

Songhe Feng, Congyan Lang, Bing Li

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

An Efficient Video Copy Detection Method Combining Vocabulary Tree and Inverted File.

Xuan Li, Bing Li, Weiming Hu, Jinfeng Yang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Context-aware horror video scene recognition via cost-sensitive sparse coding.

Xinmiao Ding, Bing Li, Weiming Hu, Weihua Xiong, Zhenchong Wang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Horror Video Scene Recognition Based on Multi-view Multi-instance Learning.

Xinmiao Ding, Bing Li, Weiming Hu, Weihua Xiong, Zhenchong Wang

Proceedings of the Computer Vision - ACCV 2012, 2012

Visual Saliency Map from Tensor Analysis.

Bing Li, Weihua Xiong, Weiming Hu

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Exposure Fusino Based on Shift-Invariant Discrete Wavelet Transform.

Jinhua Wang, De Xu, Congyan Lang, Bing Li

J. Inf. Sci. Eng., 2011

Evaluating the visual quality of web pages using a computational aesthetic approach.

Ou Wu, Yunfei Chen, Bing Li, Weiming Hu

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Web Horror Image Recognition Based on Context-Aware Multi-instance Learning.

Bing Li, Weihua Xiong, Weiming Hu

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Context-Aware Multi-instance Learning Based on Hierarchical Sparse Representation.

Bing Li, Weihua Xiong, Weiming Hu

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Horror video scene recognition via Multiple-Instance learning.

Jianchao Wang, Bing Li, Weiming Hu, Ou Wu

Proceedings of the IEEE International Conference on Acoustics, 2011

Evaluating combinational color constancy methods on real-world images.

Bing Li, Weihua Xiong, Weiming Hu, Ou Wu

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A supervised combination strategy for illumination chromaticity estimation.

Bing Li, Weihua Xiong, De Xu, Hong Bao

ACM Trans. Appl. Percept., 2010

An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images.

Jinhua Wang, De Xu, Congyan Lang, Bing Li

J. Inf. Sci. Eng., 2010

Color Constancy Using Ridge Regression.

Rui Lu, De Xu, Bing Li

J. Inf. Sci. Eng., 2010

Learning to evaluate the visual quality of web pages.

Ou Wu, Yunfei Chen, Bing Li, Weiming Hu

Proceedings of the 19th International Conference on World Wide Web, 2010

Identifying Multi-instance Outliers.

Ou Wu, Jun Gao, Weiming Hu, Bing Li, Mingliang Zhu

Proceedings of the SIAM International Conference on Data Mining, 2010

Event Recognition Based on Top-Down Motion Attention.

Li Li, Weiming Hu, Bing Li, Chunfeng Yuan, Pengfei Zhu, Wanqing Li

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Horror movie scene recognition based on emotional perception.

Jianchao Wang, Bing Li, Weiming Hu, Ou Wu

Proceedings of the International Conference on Image Processing, 2010

Group ranking with application to image retrieval.

Ou Wu, Weiming Hu, Bing Li

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Top-Down Cues for Event Recognition.

Li Li, Chunfeng Yuan, Weiming Hu, Bing Li

Proceedings of the Computer Vision - ACCV 2010, 2010

Occlusion Handling with ℓ₁-Regularized Sparse Reconstruction.

Wei Li, Bing Li, Xiaoqin Zhang, Weiming Hu, Hanzi Wang, Guan Luo

Proceedings of the Computer Vision - ACCV 2010, 2010

Horror Image Recognition Based on Emotional Attention.

Bing Li, Weiming Hu, Weihua Xiong, Ou Wu, Wei Li

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images.

Jinhua Wang, De Xu, Bing Li

IEICE Trans. Inf. Syst., 2009

Edge-Based Color Constancy via Support Vector Regression.

Ning Wang, De Xu, Bing Li

IEICE Trans. Inf. Syst., 2009

Electric Heating Cable Fault Locating System Based on Neural Network.

Bing Li, Yilin Shen, Li Li

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

Color Constancy Based on Effective Regions.

Rui Lu, De Xu, Xinbin Yang, Bing Li

IEICE Trans. Inf. Syst., 2008

Color Constancy Based on Image Similarity.

Bing Li, De Xu, Jinhua Wang, Rui Lu

IEICE Trans. Inf. Syst., 2008

Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval.

Songhe Feng, De Xu, Bing Li

IEICE Trans. Inf. Syst., 2008

An Illumination Independent Descriptor using Moment Invariants.

Bing Li, De Xu, Weihua Xiong

Proceedings of the 16th Color and Imaging Conference, 2008

A Device for Fault Testing of the Underground Electric Heating Cable.

Bing Li, Yilin Shen, Li Li

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

A Multi-Scale Adaptive Grey World Algorithm.

Bing Li, De Xu, Moon Ho Lee, Songhe Feng

IEICE Trans. Inf. Syst., 2007

Visual Perception Theory Guided Depth Motion Estimation.

Bing Li, De Xu, Songhe Feng, Fangshi Wang

Proceedings of the Advances in Multimedia Modeling, 2007

2006

Perceptual Depth Estimation from a Single 2D Image Based on Visual Perception Theory.

Bing Li, De Xu, Songhe Feng, Aimin Wu, Xu Yang

Proceedings of the Advances in Multimedia Information Processing, 2006