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- Jianping ZhangSuggested from co-authorship
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Works178 from public data
- Video copy detection322
Local methods demonstrate their superior performance over the global ones, when detecting video copies subjected to various transformations, as well as for different lengths of video segments.
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- Content Adaptive and Error Propagation Aware Deep Video Compression176
This work proposes a content adaptive and error propagation aware video compression system that outperforms the state-of-the-art learning based video codecs on benchmark datasets without increasing the model size or decreasing the decoding speed.
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- Video sequence matching based on temporal ordinal measurement125
A novel video sequence matching method based on temporal ordinal measurements that gives a global and local description of temporal variation and a quantitative method to measure the robustness and discriminability attributes of the matching methods.
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- Blurry Video Frame Interpolation111
A pyramid module to cyclically synthesize clear intermediate frames to reduce motion blur and up-convert frame rate simultaneously is developed and an inter-pyramid recurrent module is proposed to connect sequential models to exploit the temporal relationship.
- Graph-based topology reasoning for driving scenes78
TopoNet, an end-to-end topology reasoning network for analyzing driving scenes, is presented and evaluated on the challenging scene understanding benchmark, OpenLane-V2, where the approach outperforms all previous studies by a significant margin.
- Weld Defect Images Classification with VGG16-Based Neural Network72
This paper proposes a VGG16 based fully convolutional structure to classify the weld defect image, which achieves a high accuracy with a relative small dataset for deep learning method.
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- GACV: Geodesic-Aided C–V method52
By practical experiments, it is verified that the proposed novel algorithm obtains better results than original methods, especially with respect to images within holes, complex background, weak edges, and noise.
- A Coding Framework and Benchmark Towards Low-Bitrate Video Understanding50
By introducing the attention mechanism and adaptive modeling scheme, the video semantic modeling ability of the approach is further enhanced, and a low-bitrate video understanding benchmark is built with three downstream tasks on eight datasets, demonstrating the notable superiority of the approach.
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- Digital topological method for computing genus and the Betti numbers45
A linear time algorithm that determines topological invariants such as genus and the Betti numbers for digital spaces in 3D, based on cubical images with direct adjacency, could have applications in medical imaging as they can be used to identify patterns in3D image.
- Fuzzy subfiber and its application to seismic lithology classification42
The definition of fuzzy sub fiber is given and one of its most important properties: connectivity on fuzzy subfibers is discussed, which enables us to develop fast image segmentation algorithms for higher-dimensional range images.
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- NTIRE 2021 Challenge on Video Super-Resolution36
This paper presents evaluation results from two competition tracks as well as the proposed solutions to the NTIRE 2021 Challenge on Video Super-Resolution, and develops conventional video SR methods focusing on the restoration quality.
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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