b'Qiang Chen'

research

∙ 04/10/2023

Exploring Effective Factors for Improving Visual In-Context Learning

The In-Context Learning (ICL) is to understand a new task via a few demo...

0 Yanpeng Sun, et al. ∙

research

∙ 11/25/2022

DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection

Fully convolutional detectors discard the one-to-many assignment and ado...

0 Yiqun Chen, et al. ∙

research

∙ 11/17/2022

CAE v2: Context Autoencoder with CLIP Target

Masked image modeling (MIM) learns visual representation by masking and ...

0 Xinyu Zhang, et al. ∙

research

∙ 11/07/2022

Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining

We present a strong object detector with encoder-decoder pretraining and...

0 Qiang Chen, et al. ∙

research

∙ 10/10/2022

SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training

The conventional success of textual classification relies on annotated d...

0 Dan Qiao, et al. ∙

research

∙ 09/30/2022

Construction and Applications of Open Business Knowledge Graph

Business Knowledge Graph is important to many enterprises today, providi...

11 Shumin Deng, et al. ∙

research

∙ 07/26/2022

Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment

Detection Transformer (DETR) relies on One-to-One label assignment, i.e....

28 Qiang Chen, et al. ∙

research

∙ 06/13/2022

Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning

Freezing the pre-trained backbone has become a standard paradigm to avoi...

10 Yanpeng Sun, et al. ∙

research

∙ 05/22/2022

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce

In e-commerce, the salience of commonsense knowledge (CSK) is beneficial...

0 Yincen Qu, et al. ∙

research

∙ 05/07/2022

Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation

You can have your cake and eat it too. Microvessel segmentation in optic...

17 Mingchao Li, et al. ∙

research

∙ 04/06/2022

MixFormer: Mixing Features across Windows and Dimensions

While local-window self-attention performs notably in vision tasks, it s...

9 Qiang Chen, et al. ∙

research

∙ 10/26/2021

Image Magnification Network for Vessel Segmentation in OCTA Images

Optical coherence tomography angiography (OCTA) is a novel non-invasive ...

10 Mingchao Li, et al. ∙

research

∙ 10/16/2021

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

Training deep neural networks (DNNs) for meaningful differential privacy...

7 Anda Cheng, et al. ∙

research

∙ 10/12/2021

Improving Binary Neural Networks through Fully Utilizing Latent Weights

Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W...

8 Weixiang Xu, et al. ∙

research

∙ 03/17/2021

You Only Look One-level Feature

This paper revisits feature pyramids networks (FPN) for one-stage detect...

17 Qiang Chen, et al. ∙

research

∙ 01/27/2021

G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification

We propose a novel deep neural network architecture to integrate imaging...

14 Sayan Ghosal, et al. ∙

research

∙ 12/14/2020

IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation

Optical coherence tomography angiography (OCTA) is a novel imaging modal...

11 Mingchao Li, et al. ∙

research

∙ 09/03/2020

Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach

In this paper, both the fixed-time distributed consensus tracking and th...

0 Qiang Chen, et al. ∙

research

∙ 01/01/2020

Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy

Objective: Skin stretching around the forehead wrinkles is an important ...

6 Ping Zhou, et al. ∙

research

∙ 11/13/2019

Location-aware Upsampling for Semantic Segmentation

Many successful learning targets such as dice loss and cross-entropy los...

34 Xiangyu He, et al. ∙

research

∙ 10/19/2019

SpatialFlow: Bridging All Tasks for Panoptic Segmentation

The newly proposed panoptic segmentation task, which aims to encompass t...

19 Qiang Chen, et al. ∙

research

∙ 09/04/2019

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Link prediction is an important way to complete knowledge graphs (KGs), ...

20 Mingyang Chen, et al. ∙

research

∙ 07/23/2019

Compact Global Descriptor for Neural Networks

Long-range dependencies modeling, widely used in capturing spatiotempora...

3 Xiangyu He, et al. ∙

research

∙ 11/26/2017

Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images

In this paper, we develop a novel convolutional neural network based app...

0 Qiang Chen, et al. ∙

research

∙ 08/08/2017

FoveaNet: Perspective-aware Urban Scene Parsing

Parsing urban scene images benefits many applications, especially self-d...

0 Xin Li, et al. ∙

research

∙ 09/27/2016

A Fast Factorization-based Approach to Robust PCA

Robust principal component analysis (RPCA) has been widely used for reco...

0 Chong Peng, et al. ∙

research

∙ 07/03/2015

LogDet Rank Minimization with Application to Subspace Clustering

Low-rank matrix is desired in many machine learning and computer vision ...

0 Zhao Kang, et al. ∙

research

∙ 05/29/2015

Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network

We address the problem of cross-domain image retrieval, considering the ...

0 Junshi Huang, et al. ∙

research

∙ 12/16/2013

Network In Network

We propose a novel deep network structure called "Network In Network" (N...

0 Min Lin, et al. ∙

research

∙ 10/27/2010

Selective Image Super-Resolution

In this paper we propose a vision system that performs image Super Resol...

0 Ju Sun, et al. ∙

Qiang Chen

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