b'Qixiang Ye'

research

∙ 05/22/2023

Album Storytelling with Iterative Story-aware Captioning and Large Language Models

This work studies how to transform an album to vivid and coherent storie...

0 Munan Ning, et al. ∙

research

∙ 02/28/2023

Generic-to-Specific Distillation of Masked Autoencoders

Large vision Transformers (ViTs) driven by self-supervised pre-training ...

0 Wei Huang, et al. ∙

research

∙ 02/03/2023

Spectral Aware Softmax for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) aims to match specif...

0 Lei Tan, et al. ∙

research

∙ 01/29/2023

Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning

Unsupervised domain adaptation person re-identification (Re-ID) aims to ...

0 Qiong Wu, et al. ∙

research

∙ 12/16/2022

DQnet: Cross-Model Detail Querying for Camouflaged Object Detection

Camouflaged objects are seamlessly blended in with their surroundings, w...

0 Wei Sun, et al. ∙

research

∙ 12/15/2022

Proposal Distribution Calibration for Few-Shot Object Detection

Adapting object detectors learned with sufficient supervision to novel c...

0 Bohao Li, et al. ∙

research

∙ 12/12/2022

Feature Calibration Network for Occluded Pedestrian Detection

Pedestrian detection in the wild remains a challenging problem especiall...

0 Tianliang Zhang, et al. ∙

research

∙ 12/12/2022

CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection

Pedestrian detection in the wild remains a challenging problem especiall...

0 Tianliang Zhang, et al. ∙

research

∙ 11/23/2022

Integrally Pre-Trained Transformer Pyramid Networks

In this paper, we present an integral pre-training framework based on ma...

0 Yunjie Tian, et al. ∙

research

∙ 11/02/2022

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning

Contrastive self-supervised learning (CSL) based on instance discriminat...

0 Yifei Zhang, et al. ∙

research

∙ 10/19/2022

A Unified View of Masked Image Modeling

Masked image modeling has demonstrated great potential to eliminate the ...

0 Zhiliang Peng, et al. ∙

research

∙ 10/17/2022

Multi-Agent Automated Machine Learning

In this paper, we propose multi-agent automated machine learning (MA2ML)...

2 Zhaozhi Wang, et al. ∙

research

∙ 10/01/2022

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning

Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...

0 Binghao Liu, et al. ∙

research

∙ 08/12/2022

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Masked image modeling (MIM) has demonstrated impressive results in self-...

0 Zhiliang Peng, et al. ∙

research

∙ 05/30/2022

HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling

Recently, masked image modeling (MIM) has offered a new methodology of s...

0 Xiaosong Zhang, et al. ∙

research

∙ 05/19/2022

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

Modern object detectors have taken the advantages of pre-trained vision ...

0 Xiaosong Zhang, et al. ∙

research

∙ 04/17/2022

What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study

Most of the existing work in one-stage referring expression comprehensio...

0 Gen Luo, et al. ∙

research

∙ 03/27/2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

The past year has witnessed a rapid development of masked image modeling...

0 Yunjie Tian, et al. ∙

research

∙ 03/17/2022

Object Localization under Single Coarse Point Supervision

Point-based object localization (POL), which pursues high-performance ob...

18 Xuehui Yu, et al. ∙

research

∙ 03/13/2022

Global2Local: A Joint-Hierarchical Attention for Video Captioning

Recently, automatic video captioning has attracted increasing attention,...

0 Chengpeng Dai, et al. ∙

research

∙ 01/26/2022

Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection

Semi-supervised object detection (SSOD) has achieved substantial progres...

0 Chengcheng Ma, et al. ∙

research

∙ 12/31/2021

P2P-Loc: Point to Point Tiny Person Localization

Bounding-box annotation form has been the most frequently used method fo...

14 Xuehui Yu, et al. ∙

research

∙ 12/05/2021

Exploring Complicated Search Spaces with Interleaving-Free Sampling

The existing neural architecture search algorithms are mostly working on...

0 Yunjie Tian, et al. ∙

research

∙ 11/29/2021

Feature-Gate Coupling for Dynamic Network Pruning

Gating modules have been widely explored in dynamic network pruning to r...

0 Mengnan Shi, et al. ∙

research

∙ 11/25/2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning

In this paper, we propose a self-supervised visual representation learni...

1 Yunjie Tian, et al. ∙

research

∙ 10/06/2021

Long-tailed Distribution Adaptation

Recognizing images with long-tailed distributions remains a challenging ...

1 Zhiliang Peng, et al. ∙

research

∙ 09/17/2021

GraFormer: Graph Convolution Transformer for 3D Pose Estimation

Exploiting relations among 2D joints plays a crucial role yet remains se...

8 Weixi Zhao, et al. ∙

research

∙ 09/12/2021

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training

A resource-adaptive supernet adjusts its subnets for inference to fit th...

0 Bohong Chen, et al. ∙

research

∙ 07/23/2021

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation

Language instruction plays an essential role in the natural language gro...

5 Bingqian Lin, et al. ∙

research

∙ 07/07/2021

Group Sampling for Unsupervised Person Re-identification

Unsupervised person re-identification (re-ID) remains a challenging task...

7 Xumeng Han, et al. ∙

research

∙ 06/20/2021

Cogradient Descent for Dependable Learning

Conventional gradient descent methods compute the gradients for multiple...

0 Runqi Wang, et al. ∙

research

∙ 06/01/2021

Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

Encouraging progress in few-shot semantic segmentation has been made by ...

0 Binghao Liu, et al. ∙

research

∙ 05/24/2021

Towards Compact CNNs via Collaborative Compression

Channel pruning and tensor decomposition have received extensive attenti...

0 Yuchao Li, et al. ∙

research

∙ 05/09/2021

Conformer: Local Features Coupling Global Representations for Visual Recognition

Within Convolutional Neural Network (CNN), the convolution operations ar...

12 Zhiliang Peng, et al. ∙

research

∙ 04/06/2021

Multiple instance active learning for object detection

Despite the substantial progress of active learning for image recognitio...

18 Tianning Yuan, et al. ∙

research

∙ 04/06/2021

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning

Few-shot class-incremental learning (FSCIL), which targets at continuous...

0 Boyu Yang, et al. ∙

research

∙ 03/27/2021

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) is a challenging problem wh...

0 Wei Gao, et al. ∙

research

∙ 03/08/2021

Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

Few-shot object detection has made substantial progressby representing n...

0 Bohao Li, et al. ∙

research

∙ 01/20/2021

Non-Parametric Adaptive Network Pruning

Popular network pruning algorithms reduce redundant information by optim...

0 Mingbao Lin, et al. ∙

research

∙ 11/19/2020

Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering

With only bounding-box annotations in the spatial domain, existing video...

0 Yuanqiang Cai, et al. ∙

research

∙ 11/08/2020

Adaptive Linear Span Network for Object Skeleton Detection

Conventional networks for object skeleton detection are usually hand-cra...

3 Chang Liu, et al. ∙

research

∙ 09/16/2020

The 1st Tiny Object Detection Challenge:Methods and Results

The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...

16 Xuehui Yu, et al. ∙

research

∙ 08/10/2020

Prototype Mixture Models for Few-shot Semantic Segmentation

Few-shot segmentation is challenging because objects within the support ...

9 Boyu Yang, et al. ∙

research

∙ 08/05/2020

Component Divide-and-Conquer for Real-World Image Super-Resolution

In this paper, we present a large-scale Diverse Real-world image Super-R...

0 Pengxu Wei, et al. ∙

research

∙ 07/27/2020

Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to address the domain-shift pr...

0 Pingyang Dai, et al. ∙

research

∙ 07/07/2020

Discretization-Aware Architecture Search

The search cost of neural architecture search (NAS) has been largely red...

9 Yunjie Tian, et al. ∙

research

∙ 07/06/2020

Progressive Cluster Purification for Unsupervised Feature Learning

In unsupervised feature learning, sample specificity based methods ignor...

7 Yifei Zhang, et al. ∙

research

∙ 07/03/2020

Multiple Expert Brainstorming for Domain Adaptive Person Re-identification

Often the best performing deep neural models are ensembles of multiple b...

0 Yunpeng Zhai, et al. ∙

research

∙ 06/26/2020

Domain Contrast for Domain Adaptive Object Detection

We present Domain Contrast (DC), a simple yet effective approach inspire...

0 Feng Liu, et al. ∙

research

∙ 06/23/2020

iffDetector: Inference-aware Feature Filtering for Object Detection

Modern CNN-based object detectors focus on feature configuration during ...

0 Mingyuan Mao, et al. ∙

Qixiang Ye

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