From the 1 of 8 linked papers with an AI index.
8 papers
Robust Global Structure-from-Motion via View Graph Pruning
Jiamin Xu, Lixing Yao, Weichen Dai +4
Structure-from-Motion (SfM) aims to estimate camera poses and reconstruct 3D structures from a collection of unordered images. Compared with incremental SfM, global SfM achieves be…
WildShadowRemover: In-the-Wild Video Shadow Removal via Detail-Preserving Video Diffusion Models
Jiamin Xu, Cong Wang, Zheng Dong +4
The paper introduces WildShadowRemover, a system that fine‑tunes a pretrained video diffusion model to remove shadows from real‑world videos while preserving fine details and tempo…
Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch
Renshu Gu, Jialiang Chen, Fei Gao +8
Weakly supervised segmentation relies heavily on class activation maps (CAMs) to initially localize target regions. However, CAMs are often noisy and prone to catastrophic failures…
SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning
Run Zou, Jianhang Ding, Yifan Ding +3
Instruction tuning has optimized the specialized capabilities of large language models (LLMs), but it often requires extensive datasets and prolonged training times. The challenge…
OmniSR: Shadow Removal under Direct and Indirect Lighting
Jiamin Xu, Zelong Li, Yuxin Zheng +4
Shadows can originate from occlusions in both direct and indirect illumination. Although most current shadow removal research focuses on shadows caused by direct illumination, shad…
Detail-Preserving Latent Diffusion for Stable Shadow Removal
Jiamin Xu, Yuxin Zheng, Zelong Li +4
Achieving high-quality shadow removal with strong generalizability is challenging in scenes with complex global illumination. Due to the limited diversity in shadow removal dataset…