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Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography

Autor: Zhou, Kailai, Cai, Lijing, Wang, Yibo, Zhang, Mengya, Wen, Bihan, Shen, Qiu, Cao, Xun

The integration of miniaturized spectrometers into mobile devices offers new avenues for image quality enhancement and facilitates novel downstream tasks. However, the broader application of spectral sensors in mobile photography is hindered by the i

Externí odkaz: http://arxiv.org/abs/2407.17996

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Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline

Autor: Zhou, Kailai, Wang, Yibo, Lv, Tao, Li, Yunqian, Chen, Linsen, Shen, Qiu, Cao, Xun

We endeavor on a rarely explored task named Insubstantial Object Detection (IOD), which aims to localize the object with following characteristics: (1) amorphous shape with indistinct boundary; (2) similarity to surroundings; (3) absence in color. Ac

Externí odkaz: http://arxiv.org/abs/2206.11459

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Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

Autor: Zhou, Kailai, Chen, Linsen, Cao, Xun

Multispectral pedestrian detection is capable of adapting to insufficient illumination conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in-depth insights on how to fuse the two modalities effectively. Compa

Externí odkaz: http://arxiv.org/abs/2008.03043

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