Search Results for author:
Found 12 papers, 9 papers with code
Generative Enhancement for 3D Medical Images
Our method begins with a 2D slice, noted as the informed slice to serve the patient prior, and propagates the generation process using a 3D segmentation mask.
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
Specifically, our approach incorporates deformation fields to handle dynamic scenes, depth-guided supervision with spatial-temporal weight masks to optimize 3D targets with tool occlusion from a single viewpoint, and surface-aligned regularization terms to capture the much better geometry.
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
Next, a deletion diagnostics procedure is conducted to model relations of these semantic-level representations via perceiving the network outputs and the extracted relations are utilized to guide the semantic-level representations to interact with each other.
Emotional Listener Portrait: Neural Listener Head Generation with Emotion
Listener head generation centers on generating non-verbal behaviors (e. g., smile) of a listener in reference to the information delivered by a speaker.
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
This paradigm extends the 2D image diffusion model to a volumetric version with a slightly increasing number of parameters and computation, offering a principled solution for generic cross-modality 3D medical image synthesis.
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch
This paper presents SSSegmenation, which is an open source supervised semantic image segmentation toolbox based on PyTorch.
Multi-spectral Class Center Network for Face Manipulation Detection and Localization
Next, a novel Multi-Spectral Class Center Network (MSCCNet) is proposed for face manipulation detection and localization.
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
To this end, we propose a novel soft mining contextual information beyond image paradigm named MCIBI++ to further boost the pixel-level representations.
You Should Look at All Objects
Feature pyramid network (FPN) is one of the key components for object detectors.
Memory Based Video Scene Parsing
Video scene parsing is a long-standing challenging task in computer vision, aiming to assign pre-defined semantic labels to pixels of all frames in a given video.
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
Third, we compute the similarities between each pixel representation and the image-level contextual information, the semantic-level contextual information, respectively.
Mining Contextual Information Beyond Image for Semantic Segmentation
To address this, this paper proposes to mine the contextual information beyond individual images to further augment the pixel representations.
