activity
20222024
most citedHiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness

150 citations · 156 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20243 cited

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Ao Li +109

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…

cs.CV2024

PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively Aggregated Spatio-Temporal Alignment

Xiaoning Liu, Ao Li, Zongwei Wu +5

Leveraging Transformer attention has led to great advancements in HDR deghosting. However, the intricate nature of self-attention introduces practical challenges, as existing state…

cs.CV20231 cited

Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation

Zhaochong An, Guolei Sun, Zongwei Wu +2

Modern approaches have proved the huge potential of addressing semantic segmentation as a mask classification task which is widely used in instance-level segmentation. This paradig…

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.CV20232 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.CV2023150 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…