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20202023
most citedHiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness

150 citations · 165 across the 11 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos

Ziyu Yang, Sucheng Ren, Zongwei Wu +4

Non-photorealistic videos are in demand with the wave of the metaverse, but lack of sufficient research studies. This work aims to take a step forward to understand how humans perc…

cs.CV2023

Alignment-free HDR Deghosting with Semantics Consistent Transformer

Steven Tel, Zongwei Wu, Yulun Zhang +4

High dynamic range (HDR) imaging aims to retrieve information from multiple low-dynamic range inputs to generate realistic output. The essence is to leverage the contextual informa…

cs.CV2023★ 1 cited

Object Segmentation by Mining Cross-Modal Semantics

Zongwei Wu, Jingjing Wang, Zhuyun Zhou +5

Multi-sensor clues have shown promise for object segmentation, but inherent noise in each sensor, as well as the calibration error in practice, may bias the segmentation accuracy.…

cs.CV2023

Event-Free Moving Object Segmentation from Moving Ego Vehicle

Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel +5

Moving object segmentation (MOS) in dynamic scenes is an important, challenging, but under-explored research topic for autonomous driving, especially for sequences obtained from mo…

cs.CV2023★ 2 cited

CamDiff: Camouflage Image Augmentation via Diffusion Model

Xue-Jing Luo, Shuo Wang, Zongwei Wu +4

The burgeoning field of camouflaged object detection (COD) seeks to identify objects that blend into their surroundings. Despite the impressive performance of recent models, we hav…

cs.CV2023★ 150 cited

HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness

Zongwei Wu, Guillaume Allibert, Fabrice Meriaudeau +2

RGB-D saliency detection aims to fuse multi-modal cues to accurately localize salient regions. Existing works often adopt attention modules for feature modeling, with few methods e…