Search Results - "Yingwei Pan"
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1
X-Linear Attention Networks for Image Captioning
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2020)“…Recent progress on fine-grained visual recognition and visual question answering has featured Bilinear Pooling, which effectively models the 2nd order…”
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2
Boosting Image Captioning with Attributes
Published in 2017 IEEE International Conference on Computer Vision (ICCV) (01-10-2017)“…Automatically describing an image with a natural language has been an emerging challenge in both fields of computer vision and natural language processing. In…”
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3
Video Captioning with Transferred Semantic Attributes
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Automatically generating natural language descriptions of videos plays a fundamental challenge for computer vision community. Most recent progress in this…”
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4
Jointly Modeling Embedding and Translation to Bridge Video and Language
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2016)“…Automatically describing video content with natural language is a fundamental challenge of computer vision. Re-current Neural Networks (RNNs), which models…”
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5
A single-cell atlas of the multicellular ecosystem of primary and metastatic hepatocellular carcinoma
Published in Nature communications (06-08-2022)“…Hepatocellular carcinoma (HCC) represents a paradigm of the relation between tumor microenvironment (TME) and tumor development. Here, we generate a…”
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Journal Article -
6
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Image captioning often requires a large set of training image-sentence pairs. In practice, however, acquiring sufficient training pairs is always expensive,…”
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7
Open versus laparoscopic hepatic resection for hepatocellular carcinoma: a systematic review and meta-analysis
Published in Surgical endoscopy (01-08-2019)“…Background Several studies have been conducted comparing laparoscopic liver resection (LLR) versus open liver resection (OLR) for hepatocellular carcinoma…”
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8
Semi-supervised Domain Adaptation with Subspace Learning for visual recognition
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…In many real-world applications, we are often facing the problem of cross domain learning, i.e., to borrow the labeled data or transfer the already learnt…”
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9
The positive side of stress: Investigating the impact of challenge stressors on innovative behavior in higher education
Published in Acta psychologica (01-06-2024)“…Stress can be a double-edged sword. Given the intricacy of the innovation process, the link between job stress and individual innovation behavior remains…”
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10
A basic understanding of congenital extrahepatic portosystemic shunt: incidence, mechanism, complications, diagnosis, and treatment
Published in Intractable & Rare Diseases Research (31-05-2020)“…Extrahepatic portosystemic shunt belongs to a family of rare vascular abnormalities. The clinical importance and manifestations of this vascular abnormality…”
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11
Contextual Transformer Networks for Visual Recognition
Published in IEEE transactions on pattern analysis and machine intelligence (01-02-2023)“…Transformer with self-attention has led to the revolutionizing of natural language processing field, and recently inspires the emergence of Transformer-style…”
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12
Hierarchy Parsing for Image Captioning
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2019)“…It is always well believed that parsing an image into constituent visual patterns would be helpful for understanding and representing an image. Nevertheless,…”
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13
Memory Matching Networks for One-Shot Image Recognition
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…In this paper, we introduce the new ideas of augmenting Convolutional Neural Networks (CNNs) with Memory and learning to learn the network parameters for the…”
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14
Jointly Localizing and Describing Events for Dense Video Captioning
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Automatically describing a video with natural language is regarded as a fundamental challenge in computer vision. The problem nevertheless is not trivial…”
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15
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform…”
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16
HIRI-ViT: Scaling Vision Transformer With High Resolution Inputs
Published in IEEE transactions on pattern analysis and machine intelligence (01-09-2024)“…The hybrid deep models of Vision Transformer (ViT) and Convolution Neural Network (CNN) have emerged as a powerful class of backbones for vision tasks. Scaling…”
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17
Comprehending and Ordering Semantics for Image Captioning
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Comprehending the rich semantics in an image and ordering them in linguistic order are essential to compose a visually-grounded and linguistically coherent…”
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18
Dual Vision Transformer
Published in IEEE transactions on pattern analysis and machine intelligence (01-09-2023)“…Recent advances have presented several strategies to mitigate the computations of self-attention mechanism with high-resolution inputs. Many of these works…”
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19
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…Rendering synthetic data (e.g., 3D CAD-rendered images) to generate annotations for learning deep models in vision tasks has attracted increasing attention in…”
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20
Relation Distillation Networks for Video Object Detection
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2019)“…It has been well recognized that modeling object-to-object relations would be helpful for object detection. Nevertheless, the problem is not trivial especially…”
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