activity
20192022
most citedA Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder

10 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 8 cited

Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP

Zhicai Wang, Yanbin Hao, Xingyu Gao +4

Vision multi-layer perceptrons (MLPs) have shown promising performance in computer vision tasks, and become the main competitor of CNNs and vision Transformers. They use token-mixi…

cs.CV2022★ 4 cited

DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning

Xiaoqin Zhang, Ziwei Huang, Jingjing Zheng +2

The task of grasp pattern recognition aims to derive the applicable grasp types of an object according to the visual information. Current state-of-the-art methods ignore category i…

eess.IV2022★ 2 cited

InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy

Weichen Fan, Yuanbo Yang, Kunpeng Qiu +2

Domain Generalization is a challenging topic in computer vision, especially in Gastrointestinal Endoscopy image analysis. Due to several device limitations and ethical reasons, cur…

cs.LG2022★ 3 cited

Conservative Distributional Reinforcement Learning with Safety Constraints

Hengrui Zhang, Youfang Lin, Sheng Han +2

Safety exploration can be regarded as a constrained Markov decision problem where the expected long-term cost is constrained. Previous off-policy algorithms convert the constrained…

cs.CV2021

Agent-Centric Relation Graph for Object Visual Navigation

Xiaobo Hu, Youfang Lin, Shuo Wang +2

Object visual navigation aims to steer an agent toward a target object based on visual observations. It is highly desirable to reasonably perceive the environment and accurately co…

eess.IV2019★ 10 cited

A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder

Jin Xie, Longfei Wang, Paula Webster +4

Eye movements have been widely investigated to study the atypical visual attention in Autism Spectrum Disorder (ASD). The majority of these studies have been focused on limited eye…