activity
20192023
most citedIs Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

8 citations · 13 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Partitioned Saliency Ranking with Dense Pyramid Transformers

Chengxiao Sun, Yan Xu, Jialun Pei +2

In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identi…

cs.CV2023★ 1 cited

Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation

Jialun Pei, Zhangjun Zhou, Yueming Jin +2

High-accuracy Dichotomous Image Segmentation (DIS) aims to pinpoint category-agnostic foreground objects from natural scenes. The main challenge for DIS involves identifying the hi…

cs.CV2023★ 1 cited

CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation

Jialun Pei, Tao Jiang, He Tang +4

We propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet. Our method simultaneously cali…

cs.CV2022★ 1 cited

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

He Wang, Lin Wan, He Tang

Pixel-wise prediction with deep neural network has become an effective paradigm for salient object detection (SOD) and achieved remarkable performance. However, very few SOD models…

cs.CV2022

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

Jialun Pei, Tianyang Cheng, Deng-Ping Fan +3

We present OSFormer, the first one-stage transformer framework for camouflaged instance segmentation (CIS). OSFormer is based on two key designs. First, we design a location-sensin…

cs.CL2020★ 8 cited

Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

Goran Glavaš, Ivan Vulić

Traditional NLP has long held (supervised) syntactic parsing necessary for successful higher-level semantic language understanding (LU). The recent advent of end-to-end neural mode…

eess.IV2019★ 2 cited

Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net

He Tang, Xiaobing Pei, Shilong Huang +2

The clinical treatment of degenerative and developmental lumbar spinal stenosis (LSS) is different. Computed tomography (CT) is helpful in distinguishing degenerative and developme…

cs.CV2019

Salient Instance Segmentation via Subitizing and Clustering

Jialun Pei, He Tang, Chao Liu +1

The goal of salient region detection is to identify the regions of an image that attract the most attention. Many methods have achieved state-of-the-art performance levels on this…