Search Results for author: Neal N. Xiong

Found 6 papers, 0 papers with code

An Efficient Style Virtual Try on Network for Clothing Business Industry

no code implementations27 May 2021 Shanchen Pang, Xixi Tao, Neal N. Xiong, Yukun Dong

The network is divided into three sub-networks, the first is the user image, the front of the target clothing image, the semantic segmentation image and the posture heat map to generate a more detailed human parsing map.

Blocking Human Parsing +2

IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT

no code implementations28 Mar 2021 Min Wang, Shanchen Pang, Tong Ding, Sibo Qiao, Xue Zhai, Shuo Wang, Neal N. Xiong, Zhengwen Huang

In addition, we design a utility prediction model for SSF based on the Generative Adversarial Networks (GAN) and Fully Connected Neural Network (FCNN).

Few-Shot Learning

DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets

no code implementations23 Aug 2020 Jun-Jie Zhang, Cong Zhang, Neal N. Xiong

The improved deep reinforcement learning network is then used to search for and learn the hyperparameters of each sample point in the inverse distance weighted model.

reinforcement-learning Reinforcement Learning (RL)

Towards Class-incremental Object Detection with Nearest Mean of Exemplars

no code implementations19 Aug 2020 Sheng Ren, Yan He, Neal N. Xiong, Kehua Guo

For example, if the input images are of the same type, the current incremental model can learn new knowledge while not forgetting old knowledge.

Incremental Learning object-detection +1

An Intelligent Group Event Recommendation System in Social networks

no code implementations16 Jun 2020 Guoqiong Liao, Xiaomei Huang, Neal N. Xiong, Changxuan Wan

Considering that groups may have completely different behavior patterns from group members, we propose that the preference of a group need to be obtained from indirect and direct perspectives (called indirect preference and direct preference respectively).

Recommendation Systems

ADCC: An Effective and Intelligent Attention Dense Color Constancy System for Studying Images in Smart Cities

no code implementations17 Nov 2019 Yilang Zhang, Neal N. Xiong, Zheng Wei, Xin Yuan, Jian Wang

The augmented images help to tell apart the edge gradients, edge pixels and non-edge ones in log-histogram, which contribute significantly to the feature extraction and color-ambiguity elimination, thereby advancing the accuracy of illuminant estimation.

Color Constancy

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