Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]
Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng, | Summary: In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels. We start by modeling […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]