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- Hong YanSuggested from co-authorship
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Works508 from public data
- Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection492
This paper proposes a fast video salient object detection model, based on a novel recurrent network architecture, named Pyramid Dilated Bidirectional ConvLSTM (PDB-ConvL STM), which achieves state-of-the-art results on two popular benchmarks, well demonstrating its superior performance and high applicability.
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- Locating and extracting the eye in human face images381
The corner detection scheme introduced in this paper can provide accurate information about the corners and accurately locate the templates in relation to the eye images and greatly reduce the processing time for the templates.
- An analytic-to-holistic approach for face recognition based on a single frontal view284
An analytic-to-holistic approach which can identify faces at different perspective variations is proposed, and it is shown that this approach can achieve a similar level of performance from different viewing directions of a face.
- Underwater Camera: Improving Visual Perception Via Adaptive Dark Pixel Prior and Color Correction231
Experimental results show that the novel method for underwater image restoration outperforms state-of-the-art methods, demonstrating its efficacy in dealing with uneven lighting and diverse underwater environments.
- HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement210
The HCLR-Net, a novel approach built upon a distinctive hybrid contrastive learning regularization strategy that incorporates a unique methodology for constructing negative samples, significantly enhances the visual quality of underwater images, establishing its innovative and practical applicability.
- An efficient illumination normalization method for face recognition179
An efficient representation method insensitive to varying illumination is proposed for human face recognition, which can effectively eliminate the effect of uneven illumination and greatly improve the recognition results.
- An efficient algorithm for human face detection and facial feature extraction under different conditions176
An efficient algorithm for human face detection and facial feature extraction is devised using the genetic algorithm and the eigenface technique, and the lighting effect and orientation of the faces are considered and solved.
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- Face recognition under varying illumination based on a 2D face shape model169
A novel illumination compensation algorithm, which can compensate for the uneven illuminations on human faces and reconstruct face images in normal lighting conditions and eliminate the influence of uneven illumination while retaining the shape information about a human face is proposed.
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- Extraction of the Euclidean skeleton based on a connectivity criterion134
A connectivity criterion is proposed, which can be used to determine whether a given pixel is a skeleton point independently, and is based on a set of point pairs along the object boundary, which are the nearest contour points to the pixel under consideration and its 8 neighbors.
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- Person re-identification by unsupervised video matching120
This work proposes an unsupervised approach to person re-identification based on typical surveillance image-sequences, and presents a new video representation particularly tailored for person ReID, built up on existing action space-time features.
- Optimal sampling of Gabor features for face recognition117
Experimental results show that the new sampling method is simple, and effective for both dimension reduction and image representation, and the recognition rate based on the proposed scheme is higher than that achieved using a regular sampling method in a face region.
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- Integrating QDWD with pattern distinctness and local contrast for underwater saliency detection109
Experimental results, based on the publicly available OUC-VISION underwater image database, show that the proposed method can produce reliable and promising results, compared to other state-of-the-art saliency-detection models.
- Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer100
GSI-CT can be the optimal choice for the preoperative diagnosis of patients with gastric cancer in the N staging, and the K-nearest neighbor classifier can be used to distinguish lymph node metastasis from nonlymph nodes metastasis.
- Generation of moment invariants and their uses for character recognition97
The generated sets of moment invariants, including higher-order moments, have been used for the recognition of English alphabets, such that the recognition rates have improved to over 98.8%.
- Illumination invariant face recognition96
A novel approach to handle the illumination problem that can restore a face image captured under arbitrary lighting conditions to one with frontal illumination by using a ratio-image between the face image and a reference face image, both of which are blurred by a Gaussian filter.
- Fast greedy algorithm for active contours96
The greedy algorithm is a fast iterative method for energy minimisation of snakes for image contour detection and an even faster algorithm is proposed, which reduces the computing time by 30% on average.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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