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    Article

    Incrementally Detecting Moving Objects in Video with Sparsity and Connectivity

    Moving object detection is crucial for cognitive vision-based robot tasks. However, due to noise, dynamic background, variations in illumination, and high frame rate, it is a challenging task to robustly and e...

    **g Pan, **aoli Li, Xuelong Li, Yanwei Pang in Cognitive Computation (2016)

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    Learning Tone Map** Function for Dehazing

    Xuhang Lian, Yanwei Pang, Yuqing He, Xuelong Li, Ai** Yang in Cognitive Computation (2017)

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    Multi-layer Attention Based CNN for Target-Dependent Sentiment Classification

    Target-dependent sentiment classification aims at identifying the sentiment polarities of targets in a given sentence. Previous approaches utilize recurrent neural network with attention mechanism incorporated...

    Suqi Zhang, **nyun Xu, Yanwei Pang, Jungong Han in Neural Processing Letters (2020)

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    Zero-shot classification with unseen prototype learning

    Zero-shot learning (ZSL) aims at recognizing instances from unseen classes via training a classification model with only seen data. Most existing approaches easily suffer from the classification bias from unse...

    Zhong Ji, Biying Cui, Yunlong Yu, Yanwei Pang in Neural Computing and Applications (2023)

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    COREN: Multi-Modal Co-Occurrence Transformer Reasoning Network for Image-Text Retrieval

    Cross-modal image-text retrieval aims at retrieving the images according to the given query texts and vice versa, which is a challenging task due to the inherent heterogeneous gap between computer vision and n...

    Yaodong Wang, Zhong Ji, Kexin Chen, Yanwei Pang in Neural Processing Letters (2023)

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    SSNet: a joint learning network for semantic segmentation and disparity estimation

    Joint learning for semantic segmentation and disparity estimation is adopted to scene parsing for mutual benefit. However, existing joint learning approaches unify the two task briefly which may result in nega...

    Dayu Jia, Yanwei Pang, Jiale Cao, Pan **g in The Visual Computer (2024)

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    Multi-feature self-attention super-resolution network

    In recent years, single-image super-resolution (SISR) methods based on the attention mechanism have been widely explored and achieved remarkable performances. However, most existing networks only explore chann...

    Ai** Yang, Zihao Wei, **bin Wang, Jiale Cao, Zhong Ji in The Visual Computer (2024)

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    Uncertainty-aware enhanced dark experience replay for continual learning

    The replay-based approaches are a notable family of methods among many efforts on Continual Learning, where memory sampling strat- egy and rehearsal mode are two fundamental aspects to alleviate the catastroph...

    Qiang Wang, Zhong Ji, Yanwei Pang, Zhongfei Zhang in Applied Intelligence (2024)