Jun Chen

According to our database, Jun Chen authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Exploring Open-Vocabulary Semantic Segmentation without Human Labels.

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana

CoRR, 2023

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny

CoRR, 2023

Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions.

Jun Chen, Deyao Zhu, Kilichbek Haydarov, Xiang Li, Mohamed Elhoseiny

CoRR, 2023

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions.

Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny

CoRR, 2023

2022

Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction.

Jun Chen, Ming Hu, Boyang Li, Mohamed Elhoseiny

CoRR, 2022

3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language.

Ahmed Abdelreheem, Ujjwal Upadhyay, Ivan Skorokhodov, Rawan Al Yahya, Jun Chen, Mohamed Elhoseiny

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning.

Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition.

Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory.

Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

CoRR, 2021

VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining.

Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny

CoRR, 2021

DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes.

Wang Liu-Wei, Senay Kafkas, Jun Chen, Nicholas J. Dimonaco, Jesper Tegnér, Robert Hoehndorf

Bioinform., 2021

Predicting candidate genes from phenotypes, functions and anatomical site of expression.

Jun Chen, Azza Althagafi, Robert Hoehndorf

Bioinform., 2021

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary.

Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Efficient long-distance relation extraction with DG-SpanBERT.

Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang

CoRR, 2020

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation.

Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

ESearch: Incorporating Text Corpus and Structured Knowledge for Open Domain Entity Search.

Denghao Ma, Yueguo Chen, Jun Chen, Xiaoyong Du, Xiangliang Zhang

Proceedings of the 26th International Conference on World Wide Web Companion, 2017