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20162026
most citedShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

51 citations · 164 across the 49 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

FROMAT: Multiview Material Appearance Transfer via Few-Shot Self-Attention Adaptation

Hubert Kompanowski, Varun Jampani, Aaryaman Vasishta +1

Multiview diffusion models have rapidly emerged as a powerful tool for content creation with spatial consistency across viewpoints, offering rich visual realism without requiring e…

cs.CV2025

Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues

Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng +4

Glass is a prevalent material among solid objects in everyday life, yet segmentation methods struggle to distinguish it from opaque materials due to its transparency and reflection…

cs.LG2025

Domain Generalization via Pareto Optimal Gradient Matching

Khoi Do, Duong Nguyen, Nam-Khanh Le +3

In this study, we address the gradient-based domain generalization problem, where predictors aim for consistent gradient directions across different domains. Existing methods have…

cs.CE2025

AUTV: Creating Underwater Video Datasets with Pixel-wise Annotations

Quang Trung Truong, Wong Yuk Kwan, Duc Thanh Nguyen +2

Underwater video analysis, hampered by the dynamic marine environment and camera motion, remains a challenging task in computer vision. Existing training-free video generation tech…

cs.CV2025

Color Alignment in Diffusion

Ka Chun Shum, Binh-Son Hua, Duc Thanh Nguyen +1

Diffusion models have shown great promise in synthesizing visually appealing images. However, it remains challenging to condition the synthesis at a fine-grained level, for instanc…

cs.CV2025

Text-to-3D Generation using Jensen-Shannon Score Distillation

Khoi Do, Binh-Son Hua

Score distillation sampling is an effective technique to generate 3D models from text prompts, utilizing pre-trained large-scale text-to-image diffusion models as guidance. However…