Search Results for author: Yuntao Wei

Found 4 papers, 0 papers with code

Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task

no code implementations24 Dec 2024 Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin

While learned image compression methods have achieved impressive results in either human visual perception or machine vision tasks, they are often specialized only for one domain.

Disentanglement Image Compression

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs

no code implementations16 Aug 2024 Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin

We present a new image compression paradigm to achieve ``intelligently coding for machine'' by cleverly leveraging the common sense of Large Multimodal Models (LMMs).

Common Sense Reasoning Image Classification +5

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction

no code implementations18 Apr 2024 Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, JianXin Li

Existing methods are limited by their neglect of the multiple entity pairs in one sentence sharing very similar contextual information (ie, the same text and image), resulting in increased difficulty in the MMRE task.

Diversity Relation +2

CANAMRF: An Attention-Based Model for Multimodal Depression Detection

no code implementations4 Jan 2024 Yuntao Wei, Yuzhe Zhang, Shuyang Zhang, Hong Zhang

Multimodal depression detection is an important research topic that aims to predict human mental states using multimodal data.

Depression Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.