Jiangpeng He

Orcid: 0000-0002-8552-9880

According to our database1, Jiangpeng He authored at least 42 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Balancing the encoder and decoder complexity in image compression for classification.
EURASIP J. Image Video Process., December, 2024

MetaFood3D: Large 3D Food Object Dataset with Nutrition Values.
CoRR, 2024

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results.
CoRR, 2024

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor.
CoRR, 2024

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning.
CoRR, 2024

Online Class-Incremental Learning For Real-World Food Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Probing Image Compression for Class-Incremental Learning.
Proceedings of the Picture Coding Symposium, 2024

FMiFood: Multi-Modal Contrastive Learning for Food Image Classification.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Learning to Classify New Foods Incrementally Via Compressed Exemplars.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Food Portion Estimation via 3D Object Scaling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DELTA: Decoupling Long-Tailed Online Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Backward-Compatible Continual Learning of Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Long-Tailed Continual Learning For Visual Food Recognition.
CoRR, 2023

Online Class-Incremental Learning For Real-World Food Classification.
CoRR, 2023

Muti-Stage Hierarchical Food Classification.
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

An Improved Encoder-Decoder Framework for Food Energy Estimation.
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

Diffusion Model with Clustering-based Conditioning for Food Image Generation.
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

An End-to-End Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Single-Stage Heavy-Tailed Food Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023

An Improved Upper Bound on the Rate-Distortion Function of Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

Self-supervised visual representation learning on food images.
Proceedings of the Imaging and Multimedia Analytics at the Edge 2023, 2023

Conditional synthetic food image generation.
Proceedings of the Imaging and Multimedia Analytics at the Edge 2023, 2023

Personalized Food Image Classification: Benchmark Datasets and New Baseline.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Long-tailed Food Classification.
CoRR, 2022

Online Continual Learning Via Candidates Voting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Simulating Personal Food Consumption Patterns using a Modified Markov Chain.
Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, 2022

Exemplar-Free Online Continual Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards the creation of a nutrition and food group based image database.
Proceedings of the Imaging and Multimedia Analytics at the Edge 2022, 2022

Out-Of-Distribution Detection In Unsupervised Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Unsupervised Continual Learning via Pseudo Labels.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Improving Dietary Assessment Via Integrated Hierarchy Food Classification.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

An Integrated System for Mobile Image-Based Dietary Assessment.
Proceedings of the AI & Food'21: Proceedings of the 3rd Workshop on AIxFood, 2021

Online Continual Learning For Visual Food Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

An End-to-End Food Image Analysis System.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2021, 2021

2020
Multi-task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Visual Aware Hierarchy Based Food Recognition.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Incremental Learning in Online Scenario.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
CNN Based Parameter Optimization for Texture Synthesis.
Proceedings of the Material Appearance 2019, Burlingame, CA, USA, January 13-17, 2019, 2019


  Loading...