Zobrazeno 1 - 10
of 26 771
pro vyhledávání: '"Ma Li"'
Autor:
He, Mingming, Clausen, Pascal, Taşel, Ahmet Levent, Ma, Li, Pilarski, Oliver, Xian, Wenqi, Rikker, Laszlo, Yu, Xueming, Burgert, Ryan, Yu, Ning, Debevec, Paul
We present a novel framework for free-viewpoint facial performance relighting using diffusion-based image-to-image translation. Leveraging a subject-specific dataset containing diverse facial expressions captured under various lighting conditions, in
Externí odkaz:
http://arxiv.org/abs/2410.08188
Autor:
Wei, Ganchao, Ma, Li
Flow matching (FM) is a family of training algorithms for fitting continuous normalizing flows (CNFs). A standard approach to FM, called conditional flow matching (CFM), exploits the fact that the marginal vector field of a CNF can be learned by fitt
Externí odkaz:
http://arxiv.org/abs/2409.20423
In Milgrom's modified Newtonian dynamics (MOND) framework, the dynamical mass of a galaxy is fully determined by its baryonic matter distribution. We fit the distribution of cold and hot gas halos, focusing on hot gas, around SDSS central galaxies us
Externí odkaz:
http://arxiv.org/abs/2409.13329
Autor:
Liao, Zimu, Chen, Siyan, Fu, Rong, Wang, Yi, Su, Zhongling, Luo, Hao, Ma, Li, Xu, Linning, Dai, Bo, Li, Hengjie, Pei, Zhilin, Zhang, Xingcheng
Recently, 3D Gaussian Splatting (3DGS) has garnered attention for its high fidelity and real-time rendering. However, adapting 3DGS to different camera models, particularly fisheye lenses, poses challenges due to the unique 3D to 2D projection calcul
Externí odkaz:
http://arxiv.org/abs/2409.04751
Autor:
Peng, Zhiheng, Zhao, Kai, Chen, Xiaoran, Ma, Li, Xia, Siyu, Fan, Changjie, Shang, Weijian, Jing, Wei
Efficient, accurate and low-cost estimation of human skeletal information is crucial for a range of applications such as biology education and human-computer interaction. However, current simple skeleton models, which are typically based on 2D-3D joi
Externí odkaz:
http://arxiv.org/abs/2409.01555
Histological Tertiary Lymphoid Structures (TLSs) are increasingly recognized for their correlation with the efficacy of immunotherapy in various solid tumors. Traditionally, the identification and characterization of TLSs rely on immunohistochemistry
Externí odkaz:
http://arxiv.org/abs/2408.13978
Autor:
Jin, Yibo, Wang, Tao, Lin, Huimin, Song, Mingyang, Li, Peiyang, Ma, Yipeng, Shan, Yicheng, Yuan, Zhengfan, Li, Cailong, Sun, Yajing, Wu, Tiandeng, Chu, Xing, Huan, Ruizhi, Ma, Li, You, Xiao, Zhou, Wenting, Ye, Yunpeng, Liu, Wen, Xu, Xiangkun, Zhang, Yongsheng, Dong, Tiantian, Zhu, Jiawei, Wang, Zhe, Ju, Xijian, Song, Jianxun, Cheng, Haoliang, Li, Xiaojing, Ding, Jiandong, Guo, Hefei, Zhang, Zhengyong
Serving disaggregated large language models (LLMs) over tens of thousands of xPU devices (GPUs or NPUs) with reliable performance faces multiple challenges. 1) Ignoring the diversity (various prefixes and tidal requests), treating all the prompts in
Externí odkaz:
http://arxiv.org/abs/2408.08147
We proposed the tensor-input tree (TT) method for scalar-on-tensor and tensor-on-tensor regression problems. We first address scalar-on-tensor problem by proposing scalar-output regression tree models whose input variable are tensors (i.e., multi-way
Externí odkaz:
http://arxiv.org/abs/2408.01926
Autor:
Zhou, Chuang, Li, Yang, Ma, Li, Yang, Jie, Huang, Wei, Sun, Ao, Wang, Heng, Luo, Yujie, Li, Yong, Chen, Ziyang, Lau, Francis C. M., Zhang, Yichen, Yu, Song, Guo, Hong, Xu, Bingjie
An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performance and low-cost continuous varia
Externí odkaz:
http://arxiv.org/abs/2407.16432
Autor:
Friedman, Ray, Cho, Jaewoo, Brett, Jeanne, Zhan, Xuhui, Han, Ningyu, Kannan, Sriram, Ma, Yingxiang, Spencer-Smith, Jesse, Jäckel, Elisabeth, Zerres, Alfred, Hooper, Madison, Babbit, Katie, Acharya, Manish, Adair, Wendi, Aslani, Soroush, Aykaç, Tayfun, Bauman, Chris, Bennett, Rebecca, Brady, Garrett, Briggs, Peggy, Dowie, Cheryl, Eck, Chase, Geiger, Igmar, Jacob, Frank, Kern, Molly, Lee, Sujin, Liu, Leigh Anne, Liu, Wu, Loewenstein, Jeffrey, Lytle, Anne, Ma, Li, Mann, Michel, Mislin, Alexandra, Mitchell, Tyree, Nagler, Hannah Martensen née, Nandkeolyar, Amit, Olekalns, Mara, Paliakova, Elena, Parlamis, Jennifer, Pierce, Jason, Pierce, Nancy, Pinkley, Robin, Prime, Nathalie, Ramirez-Marin, Jimena, Rockmann, Kevin, Ross, William, Semnani-Azad, Zhaleh, Schroeder, Juliana, Smith, Philip, Stimmer, Elena, Swaab, Roderick, Thompson, Leigh, Tinsley, Cathy, Tuncel, Ece, Weingart, Laurie, Wilken, Robert, Yao, JingJing, Zhang, Zhi-Xue
In recent years, Large Language Models (LLM) have demonstrated impressive capabilities in the field of natural language processing (NLP). This paper explores the application of LLMs in negotiation transcript analysis by the Vanderbilt AI Negotiation
Externí odkaz:
http://arxiv.org/abs/2407.21037