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20202024
most citedDataset Distillation via Factorization

59 citations · 114 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally

Qiuhong Shen, Xingyi Yang, Xinchao Wang

This study addresses the challenge of accurately segmenting 3D Gaussian Splatting from 2D masks. Conventional methods often rely on iterative gradient descent to assign each Gaussi…

cs.CV20224 cited

Diffusion Probabilistic Model Made Slim

Xingyi Yang, Daquan Zhou, Jiashi Feng +1

Despite the recent visually-pleasing results achieved, the massive computational cost has been a long-standing flaw for diffusion probabilistic models (DPMs), which, in turn, great…

cs.CV20222 cited

Deep Model Reassembly

Xingyi Yang, Daquan Zhou, Songhua Liu +2

In this paper, we explore a novel knowledge-transfer task, termed as Deep Model Reassembly (DeRy), for general-purpose model reuse. Given a collection of heterogeneous models pre-t…

cs.CV202259 cited

Dataset Distillation via Factorization

Songhua Liu, Kai Wang, Xingyi Yang +2

In this paper, we study \xw{dataset distillation (DD)}, from a novel perspective and introduce a \emph{dataset factorization} approach, termed \emph{HaBa}, which is a plug-and-play…

cs.CV2020

Single View Metrology in the Wild

Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy +4

Most 3D reconstruction methods may only recover scene properties up to a global scale ambiguity. We present a novel approach to single view metrology that can recover the absolute…

cs.CV20204 cited

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms

Xingyi Yang, Xuehai He, Yuxiao Liang +3

Pretraining has become a standard technique in computer vision and natural language processing, which usually helps to improve performance substantially. Previously, the most domin…