b'Jiaqi Wang'

research

∙ 09/16/2023

Intelligent machines work in unstructured environments by differential neural computing

Expecting intelligent machines to efficiently work in real world require...

0 Shengbo Wang, et al. ∙

research

∙ 08/16/2023

Towards Personalized Federated Learning via Heterogeneous Model Reassembly

This paper focuses on addressing the practical yet challenging problem o...

0 Jiaqi Wang, et al. ∙

research

∙ 08/14/2023

FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow

Multiple object tracking (MOT) has been successfully investigated in com...

0 Mufeng Yao, et al. ∙

research

∙ 08/07/2023

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization

Zero-shot skeleton-based action recognition aims to recognize actions of...

0 Yujie Zhou, et al. ∙

research

∙ 06/02/2023

OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection

Multi-view 3D object detection is becoming popular in autonomous driving...

0 Zhangyang Qi, et al. ∙

research

∙ 06/01/2023

BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image

Understanding and modeling the 3D scene from a single image is a practic...

0 Tao Chu, et al. ∙

research

∙ 05/27/2023

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers

Vision-language models have achieved tremendous progress far beyond what...

0 Dachuan Shi, et al. ∙

research

∙ 04/07/2023

V3Det: Vast Vocabulary Visual Detection Dataset

Recent advances in detecting arbitrary objects in the real world are tra...

0 Jiaqi Wang, et al. ∙

research

∙ 03/22/2023

Dense Distinct Query for End-to-End Object Detection

One-to-one label assignment in object detection has successfully obviate...

2 Shilong Zhang, et al. ∙

research

∙ 03/11/2023

Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation

Referring image segmentation segments an image from a language expressio...

0 Zhao Yang, et al. ∙

research

∙ 03/05/2023

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT

Federated learning (FL) enables multiple clients to train models collabo...

0 Jiaqi Wang, et al. ∙

research

∙ 02/17/2023

Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences

Self-supervised learning has demonstrated remarkable capability in repre...

0 Yujie Zhou, et al. ∙

research

∙ 01/31/2023

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

Real-world data contains a vast amount of multimodal information, among ...

0 Dachuan Shi, et al. ∙

research

∙ 01/18/2023

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

Recent advances in modeling 3D objects mostly rely on synthetic datasets...

3 Tong Wu, et al. ∙

research

∙ 01/18/2023

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

Semi-Supervised Semantic Segmentation aims at training the segmentation ...

29 Ying Jin, et al. ∙

research

∙ 01/17/2023

Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement

Retinal fundus images have been applied for the diagnosis and screening ...

9 Qingshan Hou, et al. ∙

research

∙ 10/12/2022

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition

Graph convolution networks (GCN) have been widely used in skeleton-based...

5 Haodong Duan, et al. ∙

research

∙ 09/22/2022

In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning

When learning from sensitive data, care must be taken to ensure that tra...

4 Jiaqi Wang, et al. ∙

research

∙ 08/26/2022

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

Neural surface reconstruction aims to reconstruct accurate 3D surfaces b...

2 Tong Wu, et al. ∙

research

∙ 08/23/2022

Towards Natural Language-Based Visualization Authoring

A key challenge to visualization authoring is the process of getting fam...

0 Yun Wang, et al. ∙

research

∙ 07/01/2022

An Understanding-Oriented Robust Machine Reading Comprehension Model

Although existing machine reading comprehension models are making rapid ...

2 Feiliang Ren, et al. ∙

research

∙ 06/02/2022

What Are Expected Queries in End-to-End Object Detection?

End-to-end object detection is rapidly progressed after the emergence of...

22 Shilong Zhang, et al. ∙

research

∙ 05/19/2022

PYSKL: Towards Good Practices for Skeleton Action Recognition

We present PYSKL: an open-source toolbox for skeleton-based action recog...

4 Haodong Duan, et al. ∙

research

∙ 05/06/2022

MINI: Mining Implicit Novel Instances for Few-Shot Object Detection

Learning from a few training samples is a desirable ability of an object...

8 Yuhang Cao, et al. ∙

research

∙ 12/04/2021

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Referring image segmentation is a fundamental vision-language task that ...

0 Zhao Yang, et al. ∙

research

∙ 11/23/2021

Few-Shot Object Detection via Association and DIscrimination

Object detection has achieved substantial progress in the last decade. H...

0 Yuhang Cao, et al. ∙

research

∙ 09/12/2021

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning

Federated Learning has shown great potentials for the distributed data u...

11 Liwei Che, et al. ∙

research

∙ 09/09/2021

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning

Federated Semi-Supervised Learning (FedSSL) has gained rising attention ...

19 Zewei Long, et al. ∙

research

∙ 09/09/2021

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

Most recent semantic segmentation methods adopt a U-Net framework with a...

26 Haonan Wang, et al. ∙

research

∙ 07/30/2021

Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce

E-commerce sites strive to provide users the most timely relevant inform...

0 Ding Xiang, et al. ∙

research

∙ 01/23/2021

An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic

COVID-19 has hugely changed our lives, work, and interactions with peopl...

0 Jiaqi Wang, et al. ∙

research

∙ 12/07/2020

CARAFE++: Unified Content-Aware ReAssembly of FEatures

Feature reassembly, i.e. feature downsampling and upsampling, is a key o...

0 Jiaqi Wang, et al. ∙

research

∙ 09/29/2020

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text

The competition of extracting COVID-19 events from Twitter is to develop...

0 Chacha Chen, et al. ∙

research

∙ 09/28/2020

Texture Memory-Augmented Deep Patch-Based Image Inpainting

Patch-based methods and deep networks have been employed to tackle image...

15 Rui Xu, et al. ∙

research

∙ 09/19/2020

Active Learning for Product Type Ontology Enhancement in E-commerce

Entity-based semantic search has been widely adopted in modern search en...

0 Yun Zhu, et al. ∙

research

∙ 08/23/2020

Seesaw Loss for Long-Tailed Instance Segmentation

This report presents the approach used in the submission of the LVIS Cha...

4 Jiaqi Wang, et al. ∙

research

∙ 05/18/2020

MMFashion: An Open-Source Toolbox for Visual Fashion Analysis

We present MMFashion, a comprehensive, flexible and user-friendly open-s...

11 Xin Liu, et al. ∙

research

∙ 02/22/2020

FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

Promising federated learning coupled with Mobile Edge Computing (MEC) is...

0 Rongfei Zeng, et al. ∙

research

∙ 12/09/2019

Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regressi...

20 Jiaqi Wang, et al. ∙

research

∙ 06/18/2019

On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks

Obtaining the state of the art performance of deep learning models impos...

0 Masoumeh Shafieinejad, et al. ∙

research

∙ 06/17/2019

MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...

1 Kai Chen, et al. ∙

research

∙ 05/06/2019

CARAFE: Content-Aware ReAssembly of FEatures

Feature upsampling is a key operation in a number of modern convolutiona...

10 Jiaqi Wang, et al. ∙

research

∙ 03/27/2019

Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification

Cross-domain sentiment classification (CDSC) is an importance task in do...

0 Yuebing Zhang, et al. ∙

research

∙ 01/22/2019

Hybrid Task Cascade for Instance Segmentation

Cascade is a classic yet powerful architecture that has boosted performa...

6 Kai Chen, et al. ∙

research

∙ 01/10/2019

Region Proposal by Guided Anchoring

Region anchors are the cornerstone of modern object detection techniques...

20 Jiaqi Wang, et al. ∙

research

∙ 04/16/2018

Optimizing Video Object Detection via a Scale-Time Lattice

High-performance object detection relies on expensive convolutional netw...

0 Kai Chen, et al. ∙

Jiaqi Wang

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