Zhenchao Jin
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View article: Osmolality of donor human milk rises dramatically within minutes of fortification with varied degrees depending on the fortifier used
Osmolality of donor human milk rises dramatically within minutes of fortification with varied degrees depending on the fortifier used Open
Background The addition of fortifiers to human milk can enhance its energy and protein content, although it results in an increase in osmolality, which may vary depending on the composition of fortifiers. The manner in which osmolality cha…
View article: MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection Open
Small object detection in intricate environments has consistently represented a major challenge in the field of object detection. In this paper, we identify that this difficulty stems from the detectors' inability to effectively learn disc…
View article: Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting Open
While Implicit Neural Representations (INRs) have demonstrated significant success in image representation, they are often hindered by large training memory and slow decoding speed. Recently, Gaussian Splatting (GS) has emerged as a promis…
View article: Large Images are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting
Large Images are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting Open
While Implicit Neural Representations (INRs) have demonstrated significant success in image representation, they are often hindered by large training memory and slow decoding speed. Recently, Gaussian Splatting (GS) has emerged as a promis…
View article: ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities
ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities Open
Through the integration of external tools, large language models (LLMs) such as GPT-4o and Llama 3.1 significantly expand their functional capabilities, evolving from elementary conversational agents to general-purpose assistants. We argue…
View article: Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization
Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization Open
With the advancement of face manipulation technology, forgery images in multi-face scenarios are gradually becoming a more complex and realistic challenge. Despite this, detection and localization methods for such multi-face manipulations …
View article: Generative Enhancement for 3D Medical Images
Generative Enhancement for 3D Medical Images Open
The limited availability of 3D medical image datasets, due to privacy concerns and high collection or annotation costs, poses significant challenges in the field of medical imaging. While a promising alternative is the use of synthesized m…
View article: EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting Open
Surgical 3D reconstruction is a critical area of research in robotic surgery, with recent works adopting variants of dynamic radiance fields to achieve success in 3D reconstruction of deformable tissues from single-viewpoint videos. Howeve…
View article: IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation Open
Co-occurrent visual patterns suggest that pixel relation modeling facilitates dense prediction tasks, which inspires the development of numerous context modeling paradigms, \emph{e.g.}, multi-scale-driven and similarity-driven context sche…
View article: Emotional Listener Portrait: Neural Listener Head Generation with Emotion
Emotional Listener Portrait: Neural Listener Head Generation with Emotion Open
Listener head generation centers on generating non-verbal behaviors (e.g., smile) of a listener in reference to the information delivered by a speaker. A significant challenge when generating such responses is the non-deterministic nature …
View article: Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis Open
Cross-modality medical image synthesis is a critical topic and has the potential to facilitate numerous applications in the medical imaging field. Despite recent successes in deep-learning-based generative models, most current medical imag…
View article: SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch Open
This paper presents SSSegmenation, which is an open source supervised semantic image segmentation toolbox based on PyTorch. The design of this toolbox is motivated by MMSegmentation while it is easier to use because of fewer dependencies a…
View article: Multi-spectral Class Center Network for Face Manipulation Detection and Localization
Multi-spectral Class Center Network for Face Manipulation Detection and Localization Open
As deepfake content proliferates online, advancing face manipulation forensics has become crucial. To combat this emerging threat, previous methods mainly focus on studying how to distinguish authentic and manipulated face images. Although…
View article: Feasibility and basic acoustic characteristics of intelligent long-term bowel sound analysis in term neonates
Feasibility and basic acoustic characteristics of intelligent long-term bowel sound analysis in term neonates Open
Objective Bowel dysfunction continues to be a serious issue in neonates. Traditional auscultation of bowel sounds as a diagnostic tool in neonatal gastrointestinal problems is limited by skill and inability to document and reassess. Conseq…
View article: MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation Open
Co-occurrent visual pattern makes context aggregation become an essential paradigm for semantic segmentation.The existing studies focus on modeling the contexts within image while neglecting the valuable semantics of the corresponding cate…
View article: You Should Look at All Objects
You Should Look at All Objects Open
Feature pyramid network (FPN) is one of the key components for object detectors. However, there is a long-standing puzzle for researchers that the detection performance of large-scale objects are usually suppressed after introducing FPN. T…
View article: Memory Based Video Scene Parsing
Memory Based Video Scene Parsing Open
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. Compared with image semantic segmentation, this task pays more attention on …
View article: ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation Open
Co-occurrent visual pattern makes aggregating contextual information a common paradigm to enhance the pixel representation for semantic image segmentation. The existing approaches focus on modeling the context from the perspective of the w…
View article: Mining Contextual Information Beyond Image for Semantic Segmentation
Mining Contextual Information Beyond Image for Semantic Segmentation Open
This paper studies the context aggregation problem in semantic image segmentation. The existing researches focus on improving the pixel representations by aggregating the contextual information within individual images. Though impressive, …
View article: Perinatal Antibiotic Exposure Affects the Transmission between Maternal and Neonatal Microbiota and Is Associated with Early-Onset Sepsis
Perinatal Antibiotic Exposure Affects the Transmission between Maternal and Neonatal Microbiota and Is Associated with Early-Onset Sepsis Open
Perinatal antibiotic prophylaxis is an effective method for preventing group B Streptococcus (GBS) infection in newborns. Antibiotic exposure unbalances women’s vaginal microbiota, which is associated with the establishment of the newborn …