activity
20192023
most citedRethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

726 citations · 1.2k across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023

TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes

Xuying Zhang, Bo-Wen Yin, Yuming Chen +4

Recent progress in the text-driven 3D stylization of a single object has been considerably promoted by CLIP-based methods. However, the stylization of multi-object 3D scenes is sti…

cs.CV2023★ 6 cited

Referring Camouflaged Object Detection

Xuying Zhang, Bowen Yin, Zheng Lin +3

We consider the problem of referring camouflaged object detection (Ref-COD), a new task that aims to segment specified camouflaged objects based on a small set of referring images…

cs.CV2023

Co-Salient Object Detection with Co-Representation Purification

Ziyue Zhu, Zhao Zhang, Zheng Lin +2

Co-salient object detection (Co-SOD) aims at discovering the common objects in a group of relevant images. Mining a co-representation is essential for locating co-salient objects.…

cs.CV2022★ 7 cited

Image Harmonization by Matching Regional References

Ziyue Zhu, Zhao Zhang, Zheng Lin +3

To achieve visual consistency in composite images, recent image harmonization methods typically summarize the appearance pattern of global background and apply it to the global for…

cs.CV2022★ 1 cited

Interactive Style Transfer: All is Your Palette

Zheng Lin, Zhao Zhang, Kang-Rui Zhang +2

Neural style transfer (NST) can create impressive artworks by transferring reference style to content image. Current image-to-image NST methods are short of fine-grained controls,…

cs.CV2020★ 144 cited

Re-thinking Co-Salient Object Detection

Deng-Ping Fan, Tengpeng Li, Zheng Lin +5

In this paper, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing extension of salient object…

cs.CV2020★ 188 cited

Bilateral Attention Network for RGB-D Salient Object Detection

Zhao Zhang, Zheng Lin, Jun Xu +3

Most existing RGB-D salient object detection (SOD) methods focus on the foreground region when utilizing the depth images. However, the background also provides important informati…

cs.CV2020★ 174 cited

Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation

Lin-Zhuo Chen, Zheng Lin, Ziqin Wang +2

3D spatial information is known to be beneficial to the semantic segmentation task. Most existing methods take 3D spatial data as an additional input, leading to a two-stream segme…

cs.CV2019★ 726 cited

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

Deng-Ping Fan, Zheng Lin, Jia-Xing Zhao +5

The use of RGB-D information for salient object detection has been extensively explored in recent years. However, relatively few efforts have been put towards modeling salient obje…