activity
20152023
most citedDipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

500 citations · 1.4k across the 24 of their papers we have counts for

collaborators

24 papers

cs.CV2023★ 1 cited

RefineVIS: Video Instance Segmentation with Temporal Attention Refinement

Andre Abrantes, Jiang Wang, Peng Chu +2

We introduce a novel framework called RefineVIS for Video Instance Segmentation (VIS) that achieves good object association between frames and accurate segmentation masks by iterat…

cs.CV2022★ 1 cited

Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention

Quanzeng You, Jiang Wang, Peng Chu +2

Video instance segmentation aims at predicting object segmentation masks for each frame, as well as associating the instances across multiple frames. Recent end-to-end video instan…

cs.CV2022

Deep Frequency Filtering for Domain Generalization

Shiqi Lin, Zhizheng Zhang, Zhipeng Huang +9

Improving the generalization ability of Deep Neural Networks (DNNs) is critical for their practical uses, which has been a longstanding challenge. Some theoretical studies have unc…

cs.CV2022★ 5 cited

SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering

Peixi Xiong, Quanzeng You, Pei Yu +2

Visual Question Answering (VQA) attracts much attention from both industry and academia. As a multi-modality task, it is challenging since it requires not only visual and textual u…

cs.CV2021★ 3 cited

Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation

Zhipeng Huang, Zhizheng Zhang, Cuiling Lan +6

Unsupervised domain adaptive person re-identification (ReID) has been extensively investigated to mitigate the adverse effects of domain gaps. Those works assume the target domain…

cs.CV2021★ 13 cited

MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark

Xiaotian Han, Quanzeng You, Chunyu Wang +5

Multi-camera tracking systems are gaining popularity in applications that demand high-quality tracking results, such as frictionless checkout because monocular multi-object trackin…

cs.CL2021★ 3 cited

Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation

Xingyi Yang, Muchao Ye, Quanzeng You +1

Medical report generation is one of the most challenging tasks in medical image analysis. Although existing approaches have achieved promising results, they either require a predef…

cs.CV2021★ 5 cited

TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking

Peng Chu, Jiang Wang, Quanzeng You +2

Tracking multiple objects in videos relies on modeling the spatial-temporal interactions of the objects. In this paper, we propose a solution named TransMOT, which leverages powerf…

cs.CV2021★ 4 cited

Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification

Zhizheng Zhang, Cuiling Lan, Wenjun Zeng +4

Unsupervised domain adaptive (UDA) person re-identification (ReID) aims to transfer the knowledge from the labeled source domain to the unlabeled target domain for person matching.…

cs.CV2020★ 15 cited

Real-time 3D Deep Multi-Camera Tracking

Quanzeng You, Hao Jiang

Tracking a crowd in 3D using multiple RGB cameras is a challenging task. Most previous multi-camera tracking algorithms are designed for offline setting and have high computational…

cs.CV2019★ 2 cited

Real-time Multiple People Hand Localization in 4D Point Clouds

Hao Jiang, Quanzeng You

We propose novel real-time algorithm to localize hands and find their associations with multiple people in the cluttered 4D volumetric data (dynamic 3D volumes). Different from the…

cs.CL2018★ 155 cited

Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM

Yuxiao Chen, Jianbo Yuan, Quanzeng You +1

Sentiment analysis on large-scale social media data is important to bridge the gaps between social media contents and real world activities including political election prediction,…

cs.CV2018★ 9 cited

"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention

Tianlang Chen, Zhongping Zhang, Quanzeng You +4

Generating stylized captions for an image is an emerging topic in image captioning. Given an image as input, it requires the system to generate a caption that has a specific style…

cs.CV2018★ 2 cited

Action4D: Real-time Action Recognition in the Crowd and Clutter

Quanzeng You, Hao Jiang

Recognizing every person's action in a crowded and cluttered environment is a challenging task. In this paper, we propose a real-time action recognition method, Action4D, which giv…

cs.HC2018★ 39 cited

Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media

Tianran Hu, Anbang Xu, Zhe Liu +5

Chatbot has become an important solution to rapidly increasing customer care demands on social media in recent years. However, current work on chatbot for customer care ignores a k…

cs.CV2018★ 47 cited

Image Captioning at Will: A Versatile Scheme for Effectively Injecting Sentiments into Image Descriptions

Quanzeng You, Hailin Jin, Jiebo Luo

Automatic image captioning has recently approached human-level performance due to the latest advances in computer vision and natural language understanding. However, most of the cu…

cs.LG2017★ 500 cited

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

Fenglong Ma, Radha Chitta, Jing Zhou +3

Predicting the future health information of patients from the historical Electronic Health Records (EHR) is a core research task in the development of personalized healthcare. Pati…

cs.CV2017★ 5 cited

Cultural Diffusion and Trends in Facebook Photographs

Quanzeng You, Darío García-García, Mahohar Paluri +2

Online social media is a social vehicle in which people share various moments of their lives with their friends, such as playing sports, cooking dinner or just taking a selfie for…

cs.AI2016

When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment

Honglin Zheng, Tianlang Chen, Jiebo Luo

Sentiment analysis is crucial for extracting social signals from social media content. Due to the prevalence of images in social media, image sentiment analysis is receiving increa…

cs.CV2016★ 71 cited

Image Based Appraisal of Real Estate Properties

Quanzeng You, Ran Pang, Liangliang Cao +1

Real estate appraisal, which is the process of estimating the price for real estate properties, is crucial for both buys and sellers as the basis for negotiation and transaction. T…

cs.AI2016★ 80 cited

Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark

Quanzeng You, Jiebo Luo, Hailin Jin +1

Psychological research results have confirmed that people can have different emotional reactions to different visual stimuli. Several papers have been published on the problem of v…

cs.CV2016★ 244 cited

Image Captioning with Semantic Attention

Quanzeng You, Hailin Jin, Zhaowen Wang +2

Automatically generating a natural language description of an image has attracted interests recently both because of its importance in practical applications and because it connect…

cs.CV2015★ 210 cited

Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks

Quanzeng You, Jiebo Luo, Hailin Jin +1

Sentiment analysis of online user generated content is important for many social media analytics tasks. Researchers have largely relied on textual sentiment analysis to develop sys…

cs.SI2015★ 2 cited

A Picture Tells a Thousand Words -- About You! User Interest Profiling from User Generated Visual Content

Quanzeng You, Sumit Bhatia, Jiebo Luo

Inference of online social network users' attributes and interests has been an active research topic. Accurate identification of users' attributes and interests is crucial for impr…