102 citations · 242 across the 14 of their papers we have counts for
16 papers · 1 filter
Deep Fusion Siamese Network for Automatic Kinship Verification
Jun Yu, Mengyan Li, Xinlong Hao +1
Automatic kinship verification aims to determine whether some individuals belong to the same family. It is of great research significance to help missing persons reunite with their…
Retrieval of Family Members Using Siamese Neural Network
Jun Yu, Guochen Xie, Mengyan Li +1
Retrieval of family members in the wild aims at finding family members of the given subject in the dataset, which is useful in finding the lost children and analyzing the kinship.…
Deep Multimodal Neural Architecture Search
Zhou Yu, Yuhao Cui, Jun Yu +3
Designing effective neural networks is fundamentally important in deep multimodal learning. Most existing works focus on a single task and design neural architectures manually, whi…
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Zhou Yu, Dejing Xu, Jun Yu +4
Recent developments in modeling language and vision have been successfully applied to image question answering. It is both crucial and natural to extend this research direction to…
Multimodal Transformer with Multi-View Visual Representation for Image Captioning
Jun Yu, Jing Li, Zhou Yu +1
Image captioning aims to automatically generate a natural language description of a given image, and most state-of-the-art models have adopted an encoder-decoder framework. The fra…
Single Pixel Reconstruction for One-stage Instance Segmentation
Jun Yu, Jinghan Yao, Jian Zhang +2
Object instance segmentation is one of the most fundamental but challenging tasks in computer vision, and it requires the pixel-level image understanding. Most existing approaches…