3d reconstruction 1attention mechanisms 1cascade network 1convex feature embedding 1convolutional neural networks 1cross-modal association 1displacement mapping 1face super-resolution 1face-voice matching 1multimodal verification 1multi-view aggregation 1multi-view imaging 1
From the 3 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images
Juheon Hwang, Taewan Kim, Heeseok Oh +1
The paper introduces Convolutional Neural Shading (CNS), a pipeline that uses a convolutional neural shader and a fine-detail displacement network to improve the accuracy of 3D sha…
cs.CV2026
Collaborative Feature Aggregation for Face Super-Resolution and Robust Re-Identification
Juheon Hwang, Taewan Kim, Jiwoo Kang
The paper introduces a transformer‑based collaborative feature aggregation method that jointly performs face super‑resolution and robust person re‑identification by unifying identi…
cs.CV2026
Face and Voice Cross-modal Association with Learning Convex Feature Embedding
Taewan Kim, Jiwoo Kang
The paper introduces a method that embeds face images and voice recordings into a shared convex feature space, using cross‑modal attention to reduce mismatches and improve verifica…