:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yun, Haoyu, Krim, Hamid, Bao, Yufang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.15141
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proximal Vision Transformer: Enhancing Feature Representation through Two-Stage Manifold Geometry
by: Yun, Haoyu, et al.
Published: (2025)

ViTCAE: ViT-based Class-conditioned Autoencoder
by: Jebraeeli, Vahid, et al.
Published: (2025)

Generative Expansion of Small Datasets: An Expansive Graph Approach
by: Jebraeeli, Vahid, et al.
Published: (2024)

Koopcon: A new approach towards smarter and less complex learning
by: Jebraeeli, Vahid, et al.
Published: (2024)

CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization
by: Chen, Yu-Hsi, et al.
Published: (2026)

SL$^{2}$A-INR: Single-Layer Learnable Activation for Implicit Neural Representation
by: Heidari, Moein, et al.
Published: (2024)

VNODE: A Piecewise Continuous Volterra Neural Network
by: Roheda, Siddharth, et al.
Published: (2025)

Precision Neural Network Quantization via Learnable Adaptive Modules
by: Zhou, Wenqiang, et al.
Published: (2025)

Implicit Deformable Medical Image Registration with Learnable Kernels
by: Fogarollo, Stefano, et al.
Published: (2025)

Enhancing Frequency for Single Image Super-Resolution with Learnable Separable Kernels
by: Tian, Heng
Published: (2025)

Robust Rigid and Non-Rigid Medical Image Registration Using Learnable Edge Kernels
by: Siyal, Ahsan Raza, et al.
Published: (2025)

Monocular Depth Estimation via Neural Network with Learnable Algebraic Group and Ring Structures
by: Wang, Qianlei, et al.
Published: (2026)

Direct Kernel Optimization: Efficient Design for Opto-Electronic Convolutional Neural Networks
by: Almuallem, Ali, et al.
Published: (2025)

Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
by: Gao, Xin, et al.
Published: (2023)

How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
by: Audia, Samuel, et al.
Published: (2025)

Multi-modal Learnable Queries for Image Aesthetics Assessment
by: Xiong, Zhiwei, et al.
Published: (2024)

Revisiting Direct Encoding: Learnable Temporal Dynamics for Static Image Spiking Neural Networks
by: He, Huaxu
Published: (2025)

Multi-label Classification using Deep Multi-order Context-aware Kernel Networks
by: Jiu, Mingyuan, et al.
Published: (2024)

StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
by: Jin, Xin, et al.
Published: (2024)

Subtractive Modulative Network with Learnable Periodic Activations
by: Wang, Tiou, et al.
Published: (2026)

Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space
by: Zhang, Yichi, et al.
Published: (2025)

Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics
by: Yang, Yuchen, et al.
Published: (2025)

Partial Large Kernel CNNs for Efficient Super-Resolution
by: Lee, Dongheon, et al.
Published: (2024)

ViG-LRGC: Vision Graph Neural Networks with Learnable Reparameterized Graph Construction
by: Elsharkawi, Ismael, et al.
Published: (2025)

Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondence
by: Filntisis, Panagiotis P., et al.
Published: (2026)

Learnable Patchmatch and Self-Teaching for Multi-Frame Depth Estimation in Monocular Endoscopy
by: Shao, Shuwei, et al.
Published: (2022)

Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
by: Guo, Xiao, et al.
Published: (2023)

Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels
by: Hsing, Chia-Wei, et al.
Published: (2026)

Shallow- and Deep-fake Image Manipulation Localization Using Vision Mamba and Guided Graph Neural Network
by: Zhang, Junbin, et al.
Published: (2026)

Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
by: Li, Chenyu, et al.
Published: (2024)

MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields
by: Yang, Yixiong, et al.
Published: (2024)

Exploring Kernel Transformations for Implicit Neural Representations
by: Zheng, Sheng, et al.
Published: (2025)

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering
by: Gong, Yan, et al.
Published: (2025)

LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2025)

WMKA-Net: A Weighted Multi-Kernel Attention Network for Retinal Vessel Segmentation
by: Xu, Xinran, et al.
Published: (2025)

High-Resolution Cloud Detection Network
by: Li, Jingsheng, et al.
Published: (2024)

Learnability-Guided Diffusion for Dataset Distillation
by: Chan-Santiago, Jeffrey A., et al.
Published: (2026)

The Learnability Gap in Medical Latent Diffusion
by: Dombrowski, Mischa, et al.
Published: (2026)

Learnable Sparsity for Vision Generative Models
by: Zhang, Yang, et al.
Published: (2024)

SpikeReg: Energy-Efficient 3D Deformable Medical Image Registration with Spiking Neural Networks
by: Barzili, Ali Mikaeili, et al.
Published: (2026)