Search Results for author: Jianbo Yuan

Found 7 papers, 3 papers with code

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

1 code implementation20 Jul 2022 Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas

Despite the success of fully-supervised human skeleton sequence modeling, utilizing self-supervised pre-training for skeleton sequence representation learning has been an active field because acquiring task-specific skeleton annotations at large scales is difficult.

Action Detection Action Recognition +3

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

no code implementations20 May 2021 Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas

Cross-modal attention mechanisms have been widely applied to the image-text matching task and have achieved remarkable improvements thanks to its capability of learning fine-grained relevance across different modalities.

Contrastive Learning Cross-Modal Retrieval +3

Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment

no code implementations22 Jul 2019 Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo

In addition, in order to enrich the decoder with descriptive semantics and enforce the correctness of the deterministic medical-related contents such as mentions of organs or diagnoses, we extract medical concepts based on the radiology reports in the training data and fine-tune the encoder to extract the most frequent medical concepts from the x-ray images.

Image Captioning Image Classification

Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

1 code implementation5 Jun 2019 Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo

Extensive experiments show that our method significantly outperforms the existing unsupervised models for image-to-image translation problems, and achieves comparable performance to existing supervised models on a synthesized dataset.

Computed Tomography (CT) Disentanglement +3

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

no code implementations20 Jul 2018 Yuxiao Chen, Jianbo Yuan, Quanzeng You, Jiebo Luo

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, individual and public emotional status monitoring and analysis, and so on.

Twitter Sentiment Analysis

Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach

no code implementations16 Nov 2016 Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh Aljadda, Jiebo Luo

One of the most important features of the proposed technique is the fact that it can be applied on top of any existing CF based recommendation engine without changing the CF core.

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