From the 1 of 5 linked papers with an AI index.
5 papers
Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning
Yangu Li, Hongtian Yu, Yuyang Huang +7
The paper introduces a mixed‑representation neural network that combines visual and sequential features to identify antineutrons in electromagnetic calorimeters, enabling direct me…
Vision Calorimeter for Anti-neutron Reconstruction: A Baseline
Hongtian Yu, Yangu Li, Mingrui Wu +8
In high-energy physics, anti-neutrons () are fundamental particles that frequently appear as final-state particles, and the reconstruction of their kinematic properties pr…
Vision Calorimeter for High-Energy Particle Detection
Hongtian Yu, Yangu Li, Yunfan Liu +3
In high-energy physics, estimating anti-neutron parameters (position and momentum) using the electromagnetic calorimeter (EMC) is crucial but challenging. To conquer this challenge…
CC-Diff: Enhancing Contextual Coherence in Remote Sensing Image Synthesis
Mu Zhang, Yunfan Liu, Yue Liu +2
Existing image synthesis methods for natural scenes focus primarily on foreground control, often reducing the background to simplistic textures. Consequently, these approaches tend…
VMamba: Visual State Space Model
Yue Liu, Yunjie Tian, Yuzhong Zhao +6
Designing computationally efficient network architectures remains an ongoing necessity in computer vision. In this paper, we adapt Mamba, a state-space language model, into VMamba,…