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Junxing Hu

3 accepted papers

2025

The Primacy of Magnitude in Low-Rank Adaptation

NeurIPS 2025spotlight

Low-Rank Adaptation (LoRA) offers a parameter-efficient paradigm for tuning large models. While recent spectral initialization methods improve convergence and performance over the naive “Noise \& Zeros” scheme, their extra computational and storage overhead undermines efficiency. In this paper, we e…

Cited by 0SourceScholar
2024

Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images

AAAI 2024technical

Reconstructing hand-held objects from monocular RGB images is an appealing yet challenging task. In this task, contacts between hands and objects provide important cues for recovering the 3D geometry of the hand-held objects. Though recent works have employed implicit functions to achieve impressive…