Zobrazeno 1 - 10
of 10 468
pro vyhledávání: '"Chen, Zhuo A."'
Multimodal emotion recognition in conversation (MER) aims to accurately identify emotions in conversational utterances by integrating multimodal information. Previous methods usually treat multimodal information as equal quality and employ symmetric
Externí odkaz:
http://arxiv.org/abs/2411.10060
Autor:
Weng, Haohan, Zhao, Zibo, Lei, Biwen, Yang, Xianghui, Liu, Jian, Lai, Zeqiang, Chen, Zhuo, Liu, Yuhong, Jiang, Jie, Guo, Chunchao, Zhang, Tong, Gao, Shenghua, Chen, C. L. Philip
We propose a compressive yet effective mesh representation, Blocked and Patchified Tokenization (BPT), facilitating the generation of meshes exceeding 8k faces. BPT compresses mesh sequences by employing block-wise indexing and patch aggregation, red
Externí odkaz:
http://arxiv.org/abs/2411.07025
Autor:
Liu, Zhiqiang, Chen, Mingyang, Hua, Yin, Chen, Zhuo, Liu, Ziqi, Liang, Lei, Chen, Huajun, Zhang, Wen
Beyond-triple fact representations including hyper-relational facts with auxiliary key-value pairs, temporal facts with additional timestamps, and nested facts implying relationships between facts, are gaining significant attention. However, existing
Externí odkaz:
http://arxiv.org/abs/2411.07019
Autor:
Zhang, Zhen, Wang, Xinyu, Jiang, Yong, Chen, Zhuo, Mu, Feiteng, Hu, Mengting, Xie, Pengjun, Huang, Fei
Large Language Models (LLMs) are increasingly recognized for their practical applications. However, these models often encounter challenges in dynamically changing knowledge, as well as in managing unknown static knowledge. Retrieval-Augmented Genera
Externí odkaz:
http://arxiv.org/abs/2411.06207
Autor:
Yang, Xianghui, Shi, Huiwen, Zhang, Bowen, Yang, Fan, Wang, Jiacheng, Zhao, Hongxu, Liu, Xinhai, Wang, Xinzhou, Lin, Qingxiang, Yu, Jiaao, Wang, Lifu, Chen, Zhuo, Liu, Sicong, Liu, Yuhong, Yang, Yong, Wang, Di, Jiang, Jie, Guo, Chunchao
While 3D generative models have greatly improved artists' workflows, the existing diffusion models for 3D generation suffer from slow generation and poor generalization. To address this issue, we propose a two-stage approach named Hunyuan3D-1.0 inclu
Externí odkaz:
http://arxiv.org/abs/2411.02293
Data races are critical issues in multithreaded program, leading to unpredictable, catastrophic and difficult-to-diagnose problems. Despite the extensive in-house testing, data races often escape to deployed software and manifest in production runs.
Externí odkaz:
http://arxiv.org/abs/2410.18412
In this work, a formalism is presented for the helicity amplitude analysis of the decays $\psi(2S) \to \gamma_1 \chi_{cJ},~ \chi_{cJ} \to \gamma_2 V (V=\rho^0,~\phi,~\omega)$~(the subscript 1,2 is used to distinguish the two radiative photons), and t
Externí odkaz:
http://arxiv.org/abs/2410.17559
Autor:
Guo, Lingbing, Bo, Zhongpu, Chen, Zhuo, Zhang, Yichi, Chen, Jiaoyan, Lan, Yarong, Sun, Mengshu, Zhang, Zhiqiang, Luo, Yangyifei, Li, Qian, Zhang, Qiang, Zhang, Wen, Chen, Huajun
Large language models (LLMs) have significantly advanced performance across a spectrum of natural language processing (NLP) tasks. Yet, their application to knowledge graphs (KGs), which describe facts in the form of triplets and allow minimal halluc
Externí odkaz:
http://arxiv.org/abs/2410.07526
Publikováno v:
in Proceedings of the 31st ACM International Conference on Multimedia, pp. 1431-1442, 2023
Traditional image codecs emphasize signal fidelity and human perception, often at the expense of machine vision tasks. Deep learning methods have demonstrated promising coding performance by utilizing rich semantic embeddings optimized for both human
Externí odkaz:
http://arxiv.org/abs/2410.06149
Autor:
Chen, Zhuo, Yan, Yichao, Liu, Sehngqi, Cheng, Yuhao, Zhao, Weiming, Li, Lincheng, Bi, Mengxiao, Yang, Xiaokang
3D face editing is a significant task in multimedia, aimed at the manipulation of 3D face models across various control signals. The success of 3D-aware GAN provides expressive 3D models learned from 2D single-view images only, encouraging researcher
Externí odkaz:
http://arxiv.org/abs/2410.04965