activity
20192021
most citedLearning Compositional Neural Information Fusion for Human Parsing

7 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

GaTector: A Unified Framework for Gaze Object Prediction

Binglu Wang, Tao Hu, Baoshan Li +2

Gaze object prediction is a newly proposed task that aims to discover the objects being stared at by humans. It is of great application significance but still lacks a unified solut…

cs.CV2021★ 3 cited

Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity

Yan Liu, Zhijie Zhang, Li Niu +2

Object detection has achieved promising success, but requires large-scale fully-annotated data, which is time-consuming and labor-extensive. Therefore, we consider object detection…

cs.CV2021

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Yifan Xu, Zhijie Zhang, Mengdan Zhang +6

Vision transformers (ViTs) have recently received explosive popularity, but the huge computational cost is still a severe issue. Since the computation complexity of ViT is quadrati…

cs.CV2020★ 7 cited

Learning Compositional Neural Information Fusion for Human Parsing

Wenguan Wang, Zhijie Zhang, Siyuan Qi +3

This work proposes to combine neural networks with the compositional hierarchy of human bodies for efficient and complete human parsing. We formulate the approach as a neural infor…

cs.CV2019

ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation

Zhijie Zhang, Huazhu Fu, Hang Dai +3

Segmentation is a fundamental task in medical image analysis. However, most existing methods focus on primary region extraction and ignore edge information, which is useful for obt…