28 citations · 47 across the 14 of their papers we have counts for
5 papers · 1 filter
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
Weizhi Wang, Rongmei Lin, Shiyang Li +7
The Multimodal Large Language Models (MLLMs) are continually pre-trained on a mixture of image-text caption data and interleaved document data, while the high-quality data filterin…
PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Rongmei Lin, Xiang He, Jie Feng +4
Understanding product attributes plays an important role in improving online shopping experience for customers and serves as an integral part for constructing a product knowledge g…
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Rongmei Lin, Weiyang Liu, Zhen Liu +5
Inspired by the Thomson problem in physics where the distribution of multiple propelling electrons on a unit sphere can be modeled via minimizing some potential energy, hyperspheri…
Decoupled Networks
Weiyang Liu, Zhen Liu, Zhiding Yu +5
Inner product-based convolution has been a central component of convolutional neural networks (CNNs) and the key to learning visual representations. Inspired by the observation tha…
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification
Weiyang Liu, Zhiding Yu, Yandong Wen +2
Sparse coding with dictionary learning (DL) has shown excellent classification performance. Despite the considerable number of existing works, how to obtain features on top of whic…