activity
20192022
most citedSuppress and Balance: A Simple Gated Network for Salient Object Detection

40 citations · 115 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV20221 cited

Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation

Guang Feng, Lihe Zhang, Zhiwei Hu +1

Referring video segmentation aims to segment the corresponding video object described by the language expression. To address this task, we first design a two-stream encoder to extr…

cs.CV20221 cited

Lane Detection with Versatile AtrousFormer and Local Semantic Guidance

Jiaxing Yang, Lihe Zhang, Huchuan Lu

Lane detection is one of the core functions in autonomous driving and has aroused widespread attention recently. The networks to segment lane instances, especially with bad appeara…

cs.LG20213 cited

Temporal Knowledge Graph Reasoning Triggered by Memories

Mengnan Zhao, Lihe Zhang, Yuqiu Kong +1

Inferring missing facts in temporal knowledge graphs is a critical task and has been widely explored. Extrapolation in temporal reasoning tasks is more challenging and gradually at…

cs.CV20215 cited

MODNet-V: Improving Portrait Video Matting via Background Restoration

Jiayu Sun, Zhanghan Ke, Lihe Zhang +2

To address the challenging portrait video matting problem more precisely, existing works typically apply some matting priors that require additional user efforts to obtain, such as…

cs.CV202126 cited

Automatic Polyp Segmentation via Multi-scale Subtraction Network

Xiaoqi Zhao, Lihe Zhang, Huchuan Lu

More than 90\% of colorectal cancer is gradually transformed from colorectal polyps. In clinical practice, precise polyp segmentation provides important information in the early de…

cs.CV20214 cited

Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation

Xiaoqi Zhao, Youwei Pang, Jiaxing Yang +2

Location and appearance are the key cues for video object segmentation. Many sources such as RGB, depth, optical flow and static saliency can provide useful information about the o…