activity
20222024
most citedUnraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Experts

51 citations · 77 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2024

DEMOS: Dynamic Environment Motion Synthesis in 3D Scenes via Local Spherical-BEV Perception

Jingyu Gong, Min Wang, Wentao Liu +4

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be satisfied…

cs.SD202412 cited

Guiding the underwater acoustic target recognition with interpretable contrastive learning

Yuan Xie, Jiawei Ren, Ji Xu

Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based sys…

cs.SD202451 cited

Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Experts

Yuan Xie, Jiawei Ren, Ji Xu

Underwater acoustic target recognition is a difficult task owing to the intricate nature of underwater acoustic signals. The complex underwater environments, unpredictable transmis…

cs.CC2023

NP-Hardness of Tensor Network Contraction Ordering

Jianyu Xu, Hanwen Zhang, Ling Liang +3

We study the optimal order (or sequence) of contracting a tensor network with a minimal computational cost. We conclude 2 different versions of this optimal sequence: that minimize…

cs.CV20231 cited

LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment

Zhiwei Zhang, Zhizhong Zhang, Qian Yu +3

3D panoptic segmentation is a challenging perception task that requires both semantic segmentation and instance segmentation. In this task, we notice that images could provide rich…

cs.SD20238 cited

Learning Music Sequence Representation from Text Supervision

Tianyu Chen, Yuan Xie, Shuai Zhang +3

Music representation learning is notoriously difficult for its complex human-related concepts contained in the sequence of numerical signals. To excavate better MUsic SEquence Repr…