Kavli Affiliate: Jing Wang | First 5 Authors: Aimee Guo, Gace Fei, Hemanth Pasupuletic, Jing Wang, | Summary: The newly released Segment Anything Model (SAM) is a popular tool used in image processing due to its superior segmentation accuracy, variety of input prompts, training capabilities, and efficient model design. However, its current model is trained […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively predicting multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving paradigm is proposed through modelling large-scale dynamics […]
Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]
Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun | Summary: The integration of Large Language Models (LLMs) with Graph Representation Learning (GRL) marks a significant evolution in analyzing complex data structures. This collaboration harnesses the sophisticated linguistic capabilities of LLMs to improve the contextual understanding […]
Kavli Affiliate: Xian Chen | First 5 Authors: Zhongfu Zhang, Xian Chen, , , | Summary: Recent astrophysical models predict that stellar-mass binary black holes (BBHs) could form and coalesce within a few gravitational radii of a supermassive black hole (SMBH). Detecting the gravitational waves (GWs) from such systems requires numerical tools which can track […]
Kavli Affiliate: Ke Wang | First 5 Authors: Liang Xiang, Jiachen Chen, Zitian Zhu, Zixuan Song, Zehang Bao | Summary: The ability to realize high-fidelity quantum communication is one of the many facets required to build generic quantum computing devices. In addition to quantum processing, sensing, and storage, transferring the resulting quantum states demands a […]
Kavli Affiliate: Ke Wang | First 5 Authors: Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao | Summary: Recent development of Large Vision-Language Models (LVLMs) has attracted growing attention within the AI landscape for its practical implementation potential. However, “hallucination”, or more specifically, the misalignment between factual visual content and corresponding textual generation, […]