Weiqing Min

Orcid: 0000-0001-6668-9208

According to our database1, Weiqing Min authored at least 64 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Toward Egocentric Compositional Action Anticipation with Adaptive Semantic Debiasing.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Multi-state Ingredient Recognition via Adaptive Multi-centric Network.
IEEE Trans. Ind. Informatics, April, 2024

Deep Learning for Logo Detection: A Survey.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Towards Food Image Retrieval via Generalization-Oriented Sampling and Loss Function Design.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Synthesizing Knowledge-Enhanced Features for Real-World Zero-Shot Food Detection.
IEEE Trans. Image Process., 2024

Convolution-Enhanced Bi-Branch Adaptive Transformer With Cross-Task Interaction for Food Category and Ingredient Recognition.
IEEE Trans. Image Process., 2024

2023
Large Scale Visual Food Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Vision-based fruit recognition via multi-scale attention CNN.
Comput. Electron. Agric., July, 2023

Ingredient Prediction via Context Learning Network With Class-Adaptive Asymmetric Loss.
IEEE Trans. Image Process., 2023

Dataset Bias in Few-Shot Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

From Plate to Production: Artificial Intelligence in Modern Consumer-Driven Food Systems.
CoRR, 2023

SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Cross-direction Task Decoupling Network for Small Logo Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
LogoDet-3K: A Large-scale Image Dataset for Logo Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction.
IEEE Trans. Image Process., 2022

Applications of knowledge graphs for food science and industry.
Patterns, 2022

A Noise-robust Locality Transformer for Fine-grained Food Image Retrieval.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Attribute-Guided Feature Learning for Few-Shot Image Recognition.
IEEE Trans. Multim., 2021

Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction.
IEEE Trans. Multim., 2021

Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach.
IEEE Trans. Image Process., 2021

Vision-Based Food Analysis for Automatic Dietary Assessment.
CoRR, 2021

Towards Building a Food Knowledge Graph for Internet of Food.
CoRR, 2021

Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough.
CoRR, 2021

FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Few-shot Food Recognition via Multi-view Representation Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2020

A Two-Stage Triplet Network Training Framework for Image Retrieval.
IEEE Trans. Multim., 2020

Food Recommendation: Framework, Existing Solutions, and Challenges.
IEEE Trans. Multim., 2020

Multi-Task Deep Relative Attribute Learning for Visual Urban Perception.
IEEE Trans. Image Process., 2020

Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition.
IEEE Trans. Image Process., 2020

融合三元卷积神经网络与关系网络的小样本食品图像识别 (Few-shot Food Recognition Combining Triplet Convolutional Neural Network with Relation Network).
计算机科学, 2020

Deep neural networks for emerging multimedia computing and applications.
Neurocomputing, 2020

Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications.
IEEE Multim., 2020

An Egocentric Action Anticipation Framework via Fusing Intuition and Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Food Computing for Multimedia.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction.
IEEE Trans. Multim., 2019

Instance-level object retrieval via deep region CNN.
Multim. Tools Appl., 2019

Hybrid incremental learning of new data and new classes for hand-held object recognition.
J. Vis. Commun. Image Represent., 2019

A Survey on Food Computing.
ACM Comput. Surv., 2019

Session details: Multimedia Search.
Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis.
IEEE Trans. Multim., 2018

Food recognition and recipe analysis: integrating visual content, context and external knowledge.
CoRR, 2018

2017
Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration.
IEEE Trans. Multim., 2017

A survey on context-aware mobile visual recognition.
Multim. Syst., 2017

A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Attributes.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Dual Track Multimodal Automatic Learning through Human-Robot Interaction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Indoor RGB-D Object Detection with the Guidance of Hand-Held Objects.
Proceedings of the Internet Multimedia Computing and Service, 2017

2016
An incremental probabilistic model for temporal theme analysis of landmarks.
Multim. Syst., 2016

Where and What to Eat: Simultaneous Restaurant and Dish Recognition from Food Image.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2015
Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams.
ACM Trans. Multim. Comput. Commun. Appl., 2015

Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation.
IEEE Trans. Multim., 2015

Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering.
IEEE Trans. Cybern., 2015

2014
Mobile Landmark Search with 3D Models.
IEEE Trans. Multim., 2014

Multimodal Spatio-Temporal Theme Modeling for Landmark Analysis.
IEEE Multim., 2014

Scene and viewpoint based visual summarization for landmarks.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Script-to-Movie: A Computational Framework for Story Movie Composition.
IEEE Trans. Multim., 2013

Landmark History Visualization.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

Social event detection with robust high-order co-clustering.
Proceedings of the International Conference on Multimedia Retrieval, 2013

2012
What Happened Near Big Ben: Event-Driven Landmark Mining from Flickr.
Proceedings of the Advances in Multimedia Information Processing - PCM 2012, 2012

Multimedia news digger on emerging topics from social streams.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012


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