Zobrazeno 1 - 10
of 677
pro vyhledávání: '"Li, Huafeng"'
Infrared and visible (IR-VIS) image fusion has gained significant attention for its broad application value. However, existing methods often neglect the complementary role of infrared image in restoring visible image features under hazy conditions. T
Externí odkaz:
http://arxiv.org/abs/2411.12586
The primary value of infrared and visible image fusion technology lies in applying the fusion results to downstream tasks. However, existing methods face challenges such as increased training complexity and significantly compromised performance of in
Externí odkaz:
http://arxiv.org/abs/2411.09387
Visual grounding has attracted wide attention thanks to its broad application in various visual language tasks. Although visual grounding has made significant research progress, existing methods ignore the promotion effect of the association between
Externí odkaz:
http://arxiv.org/abs/2410.23570
The use of a single image restoration framework to achieve multi-task image restoration has garnered significant attention from researchers. However, several practical challenges remain, including meeting the specific and simultaneous demands of diff
Externí odkaz:
http://arxiv.org/abs/2407.19139
The reconstruction of high dynamic range (HDR) images from multi-exposure low dynamic range (LDR) images in dynamic scenes presents significant challenges, especially in preserving and restoring information in oversaturated regions and avoiding ghost
Externí odkaz:
http://arxiv.org/abs/2403.04228
Recovering a clear image from a single hazy image is an open inverse problem. Although significant research progress has been made, most existing methods ignore the effect that downstream tasks play in promoting upstream dehazing. From the perspectiv
Externí odkaz:
http://arxiv.org/abs/2403.01105
Multi-modality image fusion (MMIF) combines complementary information from different image modalities to provide a more comprehensive and objective interpretation of scenes. However, existing MMIF methods lack the ability to resist different weather
Externí odkaz:
http://arxiv.org/abs/2402.02090
Current infrared and visible image fusion (IVIF) methods go to great lengths to excavate complementary features and design complex fusion strategies, which is extremely challenging. To this end, we rethink the IVIF outside the box, proposing a comple
Externí odkaz:
http://arxiv.org/abs/2309.06118
Multifocus image fusion is an effective way to overcome the limitation of optical lenses. Many existing methods obtain fused results by generating decision maps. However, such methods often assume that the focused areas of the two source images are c
Externí odkaz:
http://arxiv.org/abs/2309.04657
Text-Pedestrian Image Retrieval aims to use the text describing pedestrian appearance to retrieve the corresponding pedestrian image. This task involves not only modality discrepancy, but also the challenge of the textual diversity of pedestrians wit
Externí odkaz:
http://arxiv.org/abs/2308.11994