activity
20172024
most citedSTCF Conceptual Design Report: Volume 1 -- Physics & Detector

219 citations · 670 across the 39 of their papers we have counts for

collaborators

39 papers

math.NA2024

Analysis of a dislocation model for earthquakes

Jing Liu, Xin Yang Lu, Noel J Walkington

Approximation of problems in linear elasticity having small shear modulus in a thin region is considered. Problems of this type arise when modeling ground motion due to earthquakes…

cs.CV2023

GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER

Mingzhen Sun, Weining Wang, Zihan Qin +3

Video generation necessitates both global coherence and local realism. This work presents a novel non-autoregressive method GLOBER, which first generates global features to obtain…

cs.SI2023

Machine learning of network inference enhancement from noisy measurements

Kai Wu, Yuanyuan Li, Jing Liu

Inferring networks from observed time series data presents a clear glimpse into the interconnections among nodes. Network inference models, when dealing with real-world open cases,…

cs.CV2023★ 3 cited

March in Chat: Interactive Prompting for Remote Embodied Referring Expression

Yanyuan Qiao, Yuankai Qi, Zheng Yu +2

Many Vision-and-Language Navigation (VLN) tasks have been proposed in recent years, from room-based to object-based and indoor to outdoor. The REVERIE (Remote Embodied Referring Ex…

cs.CV2023

EAVL: Explicitly Align Vision and Language for Referring Image Segmentation

Yichen Yan, Xingjian He, Wenxuan Wang +2

Referring image segmentation (RIS) aims to segment an object mentioned in natural language from an image. The main challenge is text-to-pixel fine-grained correlation. In the previ…

cs.CL2023★ 19 cited

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Ruiyang Ren, Yuhao Wang, Yingqi Qu +6

Large language models (LLMs) have shown impressive prowess in solving a wide range of tasks with world knowledge. However, it remains unclear how well LLMs are able to perceive the…