activity
20242026
collaborators

8 papers

math.NA2026

A Superfast Direct Solver for 2D Type-II Inverse Nonuniform Discrete Fourier Transform Based on Hierarchically Semiseparable Matrices

Yingzhou Li, Jingyu Liu

Reconstructing images on Cartesian grids from nonuniform Fourier samples is a basic computational task in Fourier reconstruction methods for computed tomography. This paper propose…

cs.CV2025

Structure From Tracking: Distilling Structure-Preserving Motion for Video Generation

Yang Fei, George Stoica, Jingyuan Liu +4

Reality is a dance between rigid constraints and deformable structures. For video models, that means generating motion that preserves fidelity as well as structure. Despite progres…

math.NA2025

A Superfast Direct Solver for Type-III Inverse Nonuniform Discrete Fourier Transform

Yingzhou Li, Jingyu Liu

The nonuniform discrete Fourier transform (NUDFT) and its inverse are widely used in various fields of scientific computing. In this article, we propose a novel superfast direct in…

cs.CV2025

Group Orthogonal Low-Rank Adaptation for RGB-T Tracking

Zekai Shao, Yufan Hu, Jingyuan Liu +2

Parameter-efficient fine-tuning has emerged as a promising paradigm in RGB-T tracking, enabling downstream task adaptation by freezing pretrained parameters and fine-tuning only a…

cs.CV2025

EdgeAttNet: Towards Barb-Aware Filament Segmentation

Victor Solomon, Piet Martens, Jingyu Liu +1

Accurate segmentation of solar filaments in H-alpha observations is critical for determining filament chirality, a key factor in the behavior of Coronal Mass Ejections (CMEs). Howe…

cs.CV2025

LUIVITON: Learned Universal Interoperable VIrtual Try-ON

Cong Cao, Xianhang Cheng, Jingyuan Liu +5

To enable large-scale reuse of real-world 3D assets, where garments and characters rarely share skeletons, templates, or dense correspondences, we present a fully automated virtual…

math.NA2025

Hierarchical Tucker Low-Rank Matrices: Construction and Matrix-Vector Multiplication

Yingzhou Li, Jingyu Liu

In this paper, a hierarchical Tucker low-rank (HTLR) matrix is proposed to approximate non-oscillatory kernel functions in linear complexity. The HTLR matrix is based on the hierar…

cs.CV2024

Dynamic and Compressive Adaptation of Transformers From Images to Videos

Guozhen Zhang, Jingyu Liu, Shengming Cao +4

Recently, the remarkable success of pre-trained Vision Transformers (ViTs) from image-text matching has sparked an interest in image-to-video adaptation. However, most current appr…