Qingrong Cheng

Orcid: 0000-0001-6631-1504

According to our database1, Qingrong Cheng authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Co-saliency detection with two-stage co-attention mining and individual calibration.
Eng. Appl. Artif. Intell., January, 2024

Bridging spatiotemporal feature gap for video salient object detection.
Knowl. Based Syst., 2024

SIGGesture: Generalized Co-Speech Gesture Synthesis via Semantic Injection with Large-Scale Pre-Training Diffusion Models.
CoRR, 2024

2023
Adversarial pre-optimized graph representation learning with double-order sampling for cross-modal retrieval.
Expert Syst. Appl., November, 2023

Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks.
IEEE Trans. Multim., 2023

2022
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval.
CoRR, 2022

UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Dual Semantic Relations With Graph Attention for Image-Text Matching.
IEEE Trans. Circuits Syst. Video Technol., 2021

Bridging multimedia heterogeneity gap via Graph Representation Learning for cross-modal retrieval.
Neural Networks, 2021

2020
Deep attentional fine-grained similarity network with adversarial learning for cross-modal retrieval.
Multim. Tools Appl., 2020

Cross-modal Feature Alignment based Hybrid Attentional Generative Adversarial Networks for text-to-image synthesis.
Digit. Signal Process., 2020

2019
Adversarial Learning for Cross-Modal Retrieval with Wasserstein Distance.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
Data-Driven and Collision-Free Hybrid Crowd Simulation Model for Real Scenario.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2016
A haze density aware adaptive perceptual single image haze removal algorithm.
Proceedings of the IEEE International Conference on Information and Automation, 2016


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