1.9k citations · 2.4k across the 11 of their papers we have counts for
11 papers
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
Jiacheng Lin, Jiajun Chen, Kailun Yang +4
Interactive Image Segmentation (IIS) has emerged as a promising technique for decreasing annotation time. Substantial progress has been made in pre- and post-processing for IIS, bu…
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation
Bin Li, Fei Xia, Yixuan Weng +2
Acronym disambiguation means finding the correct meaning of an ambiguous acronym from the dictionary in a given sentence, which is one of the key points for scientific document und…
PSG: Prompt-based Sequence Generation for Acronym Extraction
Bin Li, Fei Xia, Yixuan Weng +3
Acronym extraction aims to find acronyms (i.e., short-forms) and their meanings (i.e., long-forms) from the documents, which is important for scientific document understanding (SDU…
Hybrid Mutimodal Fusion for Dimensional Emotion Recognition
Ziyu Ma, Fuyan Ma, Bin Sun +1
In this paper, we extensively present our solutions for the MuSe-Stress sub-challenge and the MuSe-Physio sub-challenge of Multimodal Sentiment Challenge (MuSe) 2021. The goal of M…
More but Correct: Generating Diversified and Entity-revised Medical Response
Bin Li, Encheng Chen, Hongru Liu +5
Medical Dialogue Generation (MDG) is intended to build a medical dialogue system for intelligent consultation, which can communicate with patients in real-time, thereby improving t…
Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion
Fuyan Ma, Bin Sun, Shutao Li
Facial Expression Recognition (FER) in the wild is extremely challenging due to occlusions, variant head poses, face deformation and motion blur under unconstrained conditions. Alt…
Fusion of Dual Spatial Information for Hyperspectral Image Classification
Puhong Duan, Pedram Ghamisi, Xudong Kang +3
The inclusion of spatial information into spectral classifiers for fine-resolution hyperspectral imagery has led to significant improvements in terms of classification performance.…
Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
Renwei Dian, Shutao Li, Bin Sun +1
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial resolution owing to the limitations of imaging sensors. Image fusion is an effective and econ…
Naive Gabor Networks for Hyperspectral Image Classification
Chenying Liu, Jun Li, Lin He +3
Recently, many convolutional neural network (CNN) methods have been designed for hyperspectral image (HSI) classification since CNNs are able to produce good representations of dat…
Deep Learning for Hyperspectral Image Classification: An Overview
Shutao Li, Weiwei Song, Leyuan Fang +3
Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of hyperspectral data make the accurate clas…
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
Weiwei Song, Shutao Li, Jon Atli Benediktsson
Driven by the urgent demand for managing remote sensing big data, large-scale remote sensing image retrieval (RSIR) attracts increasing attention in the remote sensing field. In ge…