Jianing Qiu

Orcid: 0000-0003-4166-3428

According to our database1, Jianing Qiu authored at least 30 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring.
IEEE Trans. Cybern., February, 2024

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models.
CoRR, 2024

2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future.
IEEE J. Biomed. Health Informatics, December, 2023

An Intelligent Vision-Based Nutritional Assessment Method for Handheld Food Items.
IEEE Trans. Multim., 2023

A Survey of Reasoning with Foundation Models.
CoRR, 2023

Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis.
CoRR, 2023

Aria-NeRF: Multimodal Egocentric View Synthesis.
CoRR, 2023

VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.
CoRR, 2023

CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading.
CoRR, 2023

AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation.
CoRR, 2023

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation.
CoRR, 2023

Large AI Models in Health Informatics: Applications, Challenges, and the Future.
CoRR, 2023

EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion.
IEEE Robotics Autom. Lett., 2022

MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model.
CoRR, 2022

Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning.
CoRR, 2022

Tackling Long-Tailed Category Distribution Under Domain Shifts.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Counting Bites and Recognizing Consumed Food from Videos for Passive Dietary Monitoring.
IEEE J. Biomed. Health Informatics, 2021

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation.
CoRR, 2021

TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021.
CoRR, 2021

An Intelligent Passive Food Intake Assessment System with Egocentric Cameras.
CoRR, 2021

Indoor Future Person Localization from an Egocentric Wearable Camera.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep3DRanker: A Novel Framework for Learning to Rank 3D Models with Self-Attention in Robotic Vision.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Image-Based Food Classification and Volume Estimation for Dietary Assessment: A Review.
IEEE J. Biomed. Health Informatics, 2020

Point2Volume: A Vision-Based Dietary Assessment Approach Using View Synthesis.
IEEE Trans. Ind. Informatics, 2020

Assessing Individual Dietary Intake in Food Sharing Scenarios with Food and Human Pose Detection.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Assessing Individual Dietary Intake in Food Sharing Scenarios with a 360 Camera and Deep Learning.
Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

A Novel Vision-based Approach for Dietary Assessment using Deep Learning View Synthesis.
Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

Mining Discriminative Food Regions for Accurate Food Recognition.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


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