activity
20182021
most citedHeterogeneous Graph Learning for Visual Commonsense Reasoning

18 citations · 20 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV20212 cited

Hybrid Reasoning Network for Video-based Commonsense Captioning

Weijiang Yu, Jian Liang, Lei Ji +4

The task of video-based commonsense captioning aims to generate event-wise captions and meanwhile provide multiple commonsense descriptions (e.g., attribute, effect and intention)…

cs.CV2020

ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection

Chenhan Jiang, Shaoju Wang, Hang Xu +2

Most advances in medical lesion detection network are limited to subtle modification on the conventional detection network designed for natural images. However, there exists a vast…

cs.CV201918 cited

Heterogeneous Graph Learning for Visual Commonsense Reasoning

Weijiang Yu, Jingwen Zhou, Weihao Yu +2

Visual commonsense reasoning task aims at leading the research field into solving cognition-level reasoning with the ability of predicting correct answers and meanwhile providing c…

cs.CV2019

Layout-Graph Reasoning for Fashion Landmark Detection

Weijiang Yu, Xiaodan Liang, Ke Gong +3

Detecting dense landmarks for diverse clothes, as a fundamental technique for clothes analysis, has attracted increasing research attention due to its huge application potential. H…

cs.CV2019

Gradual Network for Single Image De-raining

Zhe Huang, Weijiang Yu, Wayne Zhang +2

Most advances in single image de-raining meet a key challenge, which is removing rain streaks with different scales and shapes while preserving image details. Existing single image…

cs.CV2018

Cross-Modal Attentional Context Learning for RGB-D Object Detection

Guanbin Li, Yukang Gan, Hejun Wu +2

Recognizing objects from simultaneously sensed photometric (RGB) and depth channels is a fundamental yet practical problem in many machine vision applications such as robot graspin…