activity
20102023
most citedHyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

228 citations · 870 across the 34 of their papers we have counts for

collaborators

34 papers

cs.CV2023★ 5 cited

Learning Conditional Attributes for Compositional Zero-Shot Learning

Qingsheng Wang, Lingqiao Liu, Chenchen Jing +4

Compositional Zero-Shot Learning (CZSL) aims to train models to recognize novel compositional concepts based on learned concepts such as attribute-object combinations. One of the c…

cs.CV2021

Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention

Wei Suo, Mengyang Sun, Peng Wang +1

Referring Expression Comprehension (REC) has become one of the most important tasks in visual reasoning, since it is an essential step for many vision-and-language tasks such as vi…

cs.CV2021★ 1 cited

Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads

Chenyu Gao, Qi Zhu, Peng Wang +1

Vision-and-Language (VL) pre-training has shown great potential on many related downstream tasks, such as Visual Question Answering (VQA), one of the most popular problems in the V…

cs.CV2021

An Adversarial Human Pose Estimation Network Injected with Graph Structure

Lei Tian, Guoqiang Liang, Peng Wang +1

Because of the invisible human keypoints in images caused by illumination, occlusion and overlap, it is likely to produce unreasonable human pose prediction for most of the current…

cs.CL2020

MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets

Qi Wu, Peng Wang, Chenghao Huang

Natural language processing (NLP) has been applied to various fields including text classification and sentiment analysis. In the shared task of sentiment analysis of code-mixed tw…

cs.CV2020★ 2 cited

Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps

Qi Zhu, Chenyu Gao, Peng Wang +1

Texts appearing in daily scenes that can be recognized by OCR (Optical Character Recognition) tools contain significant information, such as street name, product brand and prices.…