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Article
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning
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Article
Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos
Instructional videos are very useful for completing complex daily tasks, which naturally contain abundant clip-narration pairs. Existing works for procedure understanding are keen on pretraining various video-...
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Article
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning
Humans tend to decompose a sentence into different parts like sth do sth at someplace and then fill each part with certain content. Inspired by this, we follow the principle of modular design to propose a novel i...
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Chapter and Conference Paper
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges
NICO challenge of out-of-distribution (OOD) generalization for image recognition features two tracks: common context generalization and hybrid context generalization, based on a newly proposed OOD dataset call...
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Article
Open AccessParental chest computerized tomography examination before IVF/ICSI has no impact on pregnancy and neonatal outcomes: a cohort study of 2680 fresh transfer cycles
Some concern has been expressed regarding the negative effects of low-level ionizing radiation exposure in the context of radiological evaluation prior to IVF/ICSI treatment, but the available evidence is limi...
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Article
Open AccessImpact of elevated body mass index on cumulative live birth rate and obstetric safety in women undergoing assisted reproductive technology
This study evaluated the impact of elevated body mass index (BMI) on short- and long-term outcomes of in-vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) treatments. A total of 7229 patients u...
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Article
Open AccessTranscriptome-wide N6-methyladenine methylation in granulosa cells of women with decreased ovarian reserve
The emerging epitranscriptome plays an essential role in female fertility. As the most prevalent internal mRNA modification, N6-methyladenine (m6A) methylation regulate mRNA fate and translational efficiency. How...
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Chapter and Conference Paper
Invariant Feature Learning for Generalized Long-Tailed Classification
Existing long-tailed classification (LT) methods only focus on tackling the class-wise imbalance that head classes have more samples than tail classes, but overlook the attribute-wise imbalance. In fact, even if ...
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Chapter and Conference Paper
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
Out-Of-Distribution generalization (OOD) is all about learning invariance against environmental changes. If the context (In this paper, the word “context” denotes any class-agnostic attributes such as color, t...
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Chapter and Conference Paper
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
We are interested in learning robust models from insufficient data, without the need for any externally pre-trained checkpoints. First, compared to sufficient data, we show why insufficient data renders the mo...
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Chapter and Conference Paper
Identifying Hard Noise in Long-Tailed Sample Distribution
Conventional de-noising methods rely on the assumption that all samples are independent and identically distributed, so the resultant classifier, though disturbed by noise, can still easily identify the noises...
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Article
Open AccessEffect of electro-acupuncture on ovarian function of women with diminished ovarian reserve: study protocol for a randomized controlled trial
Diminished ovarian reserve (DOR) is the precursor state of ovarian failure and can cause the decline of women’s reproductive function. DOR also leads to poor outcome of in vitro fertilization and embryo transf...
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Article
Altered microRNA Profiles of Extracellular Vesicles Secreted by Endometrial Cells from Women with Recurrent Implantation Failure
Recurrent implantation failure (RIF) is characterized by repeated embryo transfers without pregnancy. To date, the etiology of RIF remains poorly understood. Accumulating evidence indicates a beneficial role o...
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Article
Endometrial extracellular vesicles of recurrent implantation failure patients inhibit the proliferation, migration, and invasion of HTR8/SVneo cells
Endometrial extracellular vesicles are essential in regulating trophoblasts’ function. This study aims to investigate whether endometrial extracellular vesicles (EVs) from recurrent implantation failure (RIF) ...
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Article
Open AccessThe effect of growth hormone supplementation in poor ovarian responders undergoing IVF or ICSI: a meta-analysis of randomized controlled trials
The aim of this meta-analysis was to evaluate the effect of growth hormone (GH) supplementation in poor responders undergoing in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI).
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Chapter and Conference Paper
Feature Pyramid Transformer
Feature interactions across space and scales underpin modern visual recognition systems because they introduce beneficial visual contexts. Conventionally, spatial contexts are passively hidden in the CNN’s inc...
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Article
Special issue on multimedia recommendation and multi-modal data analysis
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Article
Oxidative stress in granulosa cells contributes to poor oocyte quality and IVF-ET outcomes in women with polycystic ovary syndrome
The increased levels of intracellular reactive oxygen species (ROS) in granulosa cells (GCs) may affect the pregnancy results in women with polycystic ovary syndrome (PCOS). In this study, we compared the in vitr...
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Chapter and Conference Paper
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Due to the fact that it is prohibitively expensive to completely annotate visual relationships, i.e., the (obj1, rel, obj2) triplets, relationship models are inevitably biased to object classes of limited pairwis...
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Chapter and Conference Paper
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs
Location (or equivalently, “venue”) is a crucial facet of user generated images in social media (aka. social images) to describe the events of people’s daily lives. While many existing works focus on predicting t...
