The paper “A Two-Stage Triplet Network Training Framework for Image Retrieval”has been accepted by IEEE Trans. on Multimedia.
The paper “Food Recommendation: Framework, Existing Solutions and Challenges”has been accepted by IEEE Transactions on Multimedia.
The paper “Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification”has been accepted by AAAI 2020.
The paper “Learning Scene Attribute for Scene Recognition”has been accepted by IEEE Transactions on Multimedia.
The paper “Multi-Task Deep Relative Attribute Learning for Visual Urban Perception”has been accepted by IEEE Transactions on Image Processing.
The paper “Image Representations with Spatial Object-to-Object Relations for RGB-D Scene Recognition”has been accepted by IEEE Transactions on Image Processing.
The paper “Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition”has been accepted by IEEE Transactions on Image Processing.
Four papers “Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition”, “Aberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videos”, “MUCH: MUtual Coupling enHancement of scene recognition and dense captioning” and “Attention-based Densely Connected LSTM for Video Captioning” have been accepted by ACM Multimedia 2019.
The paper “A Survey on Food Computing”has been accepted by ACM Computing Surveys.
The paper “Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition”has been accepted by ACM Transactions on Data Science.