b'Shuai Shao'

research

∙ 08/23/2023

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE

Building scalable vision-language models to learn from diverse, multimod...

0 Junyi Chen, et al. ∙

research

∙ 05/25/2023

ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst

Building general-purpose models that can perceive diverse real-world mod...

0 Zijia Zhao, et al. ∙

research

∙ 05/22/2023

ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition

Human activity recognition (HAR) is one of the core research themes in u...

0 Shuai Shao, et al. ∙

research

∙ 04/26/2023

FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation

Medical image segmentation methods normally perform poorly when there is...

5 Yan Wang, et al. ∙

research

∙ 02/14/2023

Algorithm Selection for Deep Active Learning with Imbalanced Datasets

Label efficiency has become an increasingly important objective in deep ...

0 Jifan Zhang, et al. ∙

research

∙ 01/27/2023

A Strongly Polynomial-Time Algorithm for Weighted General Factors with Three Feasible Degrees

General factors are a generalization of matchings. Given a graph G with ...

0 Shuai Shao, et al. ∙

research

∙ 12/23/2022

Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition

Human Activity Recognition (HAR) is one of the core research areas in mo...

0 Shuai Shao, et al. ∙

research

∙ 10/09/2022

MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning

Multimodal representation learning has shown promising improvements on v...

0 Zijia Zhao, et al. ∙

research

∙ 05/06/2022

A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy

Acoustic Echo Cancellation (AEC) is essential for accurate recognition o...

0 Sankaran Panchapagesan, et al. ∙

research

∙ 04/05/2022

Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation

Unsupervised domain adaptation (UDA) aims to enhance the generalization ...

3 Bo Yuan, et al. ∙

research

∙ 03/15/2022

CSN: Component-Supervised Network for Few-Shot Classification

The few-shot classification (FSC) task has been a hot research topic in ...

4 Shuai Shao, et al. ∙

research

∙ 12/03/2021

SSDL: Self-Supervised Dictionary Learning

The label-embedded dictionary learning (DL) algorithms generate influent...

20 Shuai Shao, et al. ∙

research

∙ 12/01/2021

MDFM: Multi-Decision Fusing Model for Few-Shot Learning

In recent years, researchers pay growing attention to the few-shot learn...

4 Shuai Shao, et al. ∙

research

∙ 09/16/2021

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

Few-shot learning (FSL) aims to address the data-scarce problem. A stand...

5 Shuai Shao, et al. ∙

research

∙ 09/07/2021

CIM: Class-Irrelevant Mapping for Few-Shot Classification

Few-shot classification (FSC) is one of the most concerned hot issues in...

0 Shuai Shao, et al. ∙

research

∙ 12/20/2020

A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified Uncertainty

Multiscale models of materials, consisting of upscaling discrete simulat...

0 Jingye Tan, et al. ∙

research

∙ 10/23/2020

DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization

For classification tasks, dictionary learning based methods have attract...

2 Shuai Shao, et al. ∙

research

∙ 10/23/2020

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning

In recent years, the attention mechanism contributes significantly to hy...

1 Shuai Shao, et al. ∙

research

∙ 05/16/2020

A Dichotomy for Real Boolean Holant Problems

We prove a complexity dichotomy for Holant problems on the boolean domai...

0 Shuai Shao, et al. ∙

research

∙ 04/12/2020

From Holant to Quantum Entanglement and Back

Holant problems are intimately connected with quantum theory as tensor n...

0 Jin-Yi Cai, et al. ∙

research

∙ 09/10/2019

Contraction: a Unified Perspective of Correlation Decay and Zero-Freeness of 2-Spin Systems

We study complex zeros of the partition function of 2-spin systems, view...

0 Shuai Shao, et al. ∙

research

∙ 04/17/2019

Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification

Dictionary learning methods can be split into two categories: i) class s...

0 Shuai Shao, et al. ∙

research

∙ 04/04/2019

Complexity of Counting Weighted Eulerian Orientations with ARS

Unique prime factorization of integers is taught in every high school. W...

0 Jin-Yi Cai, et al. ∙

research

∙ 03/07/2019

Label Embedded Dictionary Learning for Image Classification

Recently, label consistent k-svd(LC-KSVD) algorithm has been successfull...

0 Shuai Shao, et al. ∙

research

∙ 02/19/2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...

6 Chen Change Loy, et al. ∙

research

∙ 11/21/2018

Scene Text Detection with Supervised Pyramid Context Network

Scene text detection methods based on deep learning have achieved remark...

4 Enze Xie, et al. ∙

research

∙ 04/30/2018

CrowdHuman: A Benchmark for Detecting Human in a Crowd

Human detection has witnessed impressive progress in recent years. Howev...

0 Shuai Shao, et al. ∙

research

∙ 11/21/2017

Repulsion Loss: Detecting Pedestrians in a Crowd

Detecting individual pedestrians in a crowd remains a challenging proble...

0 Xinlong Wang, et al. ∙

research

∙ 12/02/2016

Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks

Jointly integrating aspect ratio and context has been extensively studie...

0 Bo Li, et al. ∙

Shuai Shao

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