Suncheng Xiang | DeepAI

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∙ 08/02/2023

Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification

Colonoscopic Polyp Re-Identification aims to match the same polyp from a...

0 Suncheng Xiang, et al. ∙

∙ 07/20/2023

Learning Discriminative Visual-Text Representation for Polyp Re-Identification

Colonoscopic Polyp Re-Identification aims to match a specific polyp in a...

0 Suncheng Xiang, et al. ∙

∙ 04/19/2023

Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification

Generalizable person re-identification (Re-ID) is a very hot research to...

0 Suncheng Xiang, et al. ∙

∙ 03/28/2023

AutoKary2022: A Large-Scale Densely Annotated Dateset for Chromosome Instance Segmentation

Automated chromosome instance segmentation from metaphase cell microscop...

0 Dan You, et al. ∙

∙ 03/28/2023

Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval

Colonoscopic video retrieval, which is a critical part of polyp treatmen...

0 Qingzhong Chen, et al. ∙

∙ 02/16/2023

CluCDD:Contrastive Dialogue Disentanglement via Clustering

A huge number of multi-participant dialogues happen online every day, wh...

0 Jingsheng Gao, et al. ∙

∙ 11/03/2022

MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation

Recently, some pioneering works have preferred applying more complex mod...

0 Jiacheng Ruan, et al. ∙

∙ 11/02/2022

Deep Multimodal Fusion for Generalizable Person Re-identification

Person re-identification plays a significant role in realistic scenarios...

0 Suncheng Xiang, et al. ∙

∙ 10/25/2022

MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation

Recently, Visual Transformer (ViT) has been widely used in various field...

0 Jiacheng Ruan, et al. ∙

∙ 08/24/2022

SubFace: Learning with Softmax Approximation for Face Recognition

The softmax-based loss functions and its variants (e.g., cosface, sphere...

0 Hongwei Xu, et al. ∙

∙ 10/11/2021

VTBR: Semantic-based Pretraining for Person Re-Identification

Pretraining is a dominant paradigm in computer vision. Generally, superv...

0 Suncheng Xiang, et al. ∙

∙ 09/22/2021

Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification

Person re-identification (re-ID) plays an important role in applications...

0 Suncheng Xiang, et al. ∙

∙ 04/06/2021

Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification

Employing clustering strategy to assign unlabeled target images with pse...

0 Suncheng Xiang, et al. ∙

∙ 10/15/2020

Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification

Person re-identification (re-ID) plays an important role in applications...

0 Suncheng Xiang, et al. ∙

∙ 06/12/2020

Attribute analysis with synthetic dataset for person re-identification

Person re-identification (re-ID) plays an important role in applications...

0 Suncheng Xiang, et al. ∙

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