Search Results for author:
Found 8 papers, 4 papers with code
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models
To address these deficiencies, we introduce the Box-it-to-Bind-it (B2B) module - a novel, training-free approach for improving spatial control and semantic accuracy in text-to-image (T2I) diffusion models.
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy
The inability to acquire clean high-resolution (HR) electron microscopy (EM) images over a large brain tissue volume hampers many neuroscience studies.
RegBN: Batch Normalization of Multimodal Data with Regularization
The proposed method demonstrates broad applicability across different architectures such as multilayer perceptrons, convolutional neural networks, and vision transformers, enabling effective normalization of both low- and high-level features in multimodal neural networks.
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition
To overcome this limitation, we propose a novel deep-learning (DL)-based self-supervised super-resolution approach that computationally reconstructs isotropic 3DEM from the anisotropic acquisition.
Adversarial Distortion Learning for Medical Image Denoising
The proposed ADL consists of two auto-encoders: a denoiser and a discriminator.
Ranked #1 on
Color Image Denoising
on CBSD68 sigma35
Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition
Affect is often expressed via non-verbal body language such as actions/gestures, which are vital indicators for human behaviors.
Facial Expression Recognition
Facial Expression Recognition (FER)
+2
FFD: Fast Feature Detector
In this paper, we show that robust and accurate keypoints exist in the specific scale-space domain.
Orderly Disorder in Point Cloud Domain
Our method extracts the deep patterns inside a 3D object via creating a dynamic link to seek the most stable patterns and at once, throws away the unstable ones.
