b'Xiaowei Hu'

research

∙ 08/23/2023

SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels

Existing shadow detection datasets often contain missing or mislabeled s...

0 Han Yang, et al. ∙

research

∙ 03/17/2023

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

Video dehazing aims to recover haze-free frames with high visibility and...

0 Jiaqi Xu, et al. ∙

research

∙ 11/23/2022

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection

LiDAR-produced point clouds are the major source for most state-of-the-a...

0 Tianyu Wang, et al. ∙

research

∙ 11/23/2022

Video Instance Shadow Detection

Video instance shadow detection aims to simultaneously detect, segment, ...

0 Zhenghao Xing, et al. ∙

research

∙ 11/10/2022

Demystify Transformers Convolutions in Modern Image Deep Networks

Recent success of vision transformers has inspired a series of vision ba...

0 Jifeng Dai, et al. ∙

research

∙ 11/10/2022

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Compared to the great progress of large-scale vision transformers (ViTs)...

0 Wenhai Wang, et al. ∙

research

∙ 07/30/2022

Learning Shadow Correspondence for Video Shadow Detection

Video shadow detection aims to generate consistent shadow predictions am...

4 Xinpeng Ding, et al. ∙

research

∙ 07/20/2022

NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis

In this paper, we present NUWA-Infinity, a generative model for infinite...

4 Chenfei Wu, et al. ∙

research

∙ 07/11/2022

Instance Shadow Detection with A Single-Stage Detector

This paper formulates a new problem, instance shadow detection, which ai...

11 Tianyu Wang, et al. ∙

research

∙ 06/20/2022

Dynamic Message Propagation Network for RGB-D Salient Object Detection

This paper presents a novel deep neural network framework for RGB-D sali...

9 Baian Chen, et al. ∙

research

∙ 06/12/2022

GLIPv2: Unifying Localization and Vision-Language Understanding

We present GLIPv2, a grounded VL understanding model, that serves both l...

10 Haotian Zhang, et al. ∙

research

∙ 05/27/2022

GIT: A Generative Image-to-text Transformer for Vision and Language

In this paper, we design and train a Generative Image-to-text Transforme...

14 Jianfeng Wang, et al. ∙

research

∙ 05/19/2022

Spatial Autoregressive Coding for Graph Neural Recommendation

Graph embedding methods including traditional shallow models and deep Gr...

16 Jiayi Zheng, et al. ∙

research

∙ 04/20/2022

K-LITE: Learning Transferable Visual Models with External Knowledge

Recent state-of-the-art computer vision systems are trained from natural...

3 Sheng Shen, et al. ∙

research

∙ 01/21/2022

Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation

Generalizing the medical image segmentation algorithms tounseen domains ...

12 Huifeng Yao, et al. ∙

research

∙ 12/09/2021

Injecting Semantic Concepts into End-to-End Image Captioning

Tremendous progress has been made in recent years in developing better i...

0 Zhiyuan Fang, et al. ∙

research

∙ 11/24/2021

Scaling Up Vision-Language Pre-training for Image Captioning

In recent years, we have witnessed significant performance boost in the ...

0 Xiaowei Hu, et al. ∙

research

∙ 11/23/2021

Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling

In this paper, we propose UNICORN, a vision-language (VL) model that uni...

7 Zhengyuan Yang, et al. ∙

research

∙ 11/19/2021

UFO: A UniFied TransfOrmer for Vision-Language Representation Learning

In this paper, we propose a single UniFied transfOrmer (UFO), which is c...

0 Jianfeng Wang, et al. ∙

research

∙ 09/10/2021

An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA

Knowledge-based visual question answering (VQA) involves answering quest...

0 Zhengyuan Yang, et al. ∙

research

∙ 04/05/2021

Compressing Visual-linguistic Model via Knowledge Distillation

Despite exciting progress in pre-training for visual-linguistic (VL) rep...

0 Zhiyuan Fang, et al. ∙

research

∙ 04/05/2021

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Automatic breast lesion segmentation in ultrasound helps to diagnose bre...

18 Cheng Xue, et al. ∙

research

∙ 02/05/2021

Deep Texture-Aware Features for Camouflaged Object Detection

Camouflaged object detection is a challenging task that aims to identify...

2 Jingjing Ren, et al. ∙

research

∙ 01/07/2021

Incorporating Vision Bias into Click Models for Image-oriented Search Engine

Most typical click models assume that the probability of a document to b...

4 Ningxin Xu, et al. ∙

research

∙ 01/02/2021

VinVL: Making Visual Representations Matter in Vision-Language Models

This paper presents a detailed study of improving visual representations...

10 Pengchuan Zhang, et al. ∙

research

∙ 12/13/2020

MiniVLM: A Smaller and Faster Vision-Language Model

Recent vision-language (VL) studies have shown remarkable progress by le...

1 Jianfeng Wang, et al. ∙

research

∙ 09/28/2020

VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training

It is highly desirable yet challenging to generate image captions that c...

1 Xiaowei Hu, et al. ∙

research

∙ 04/13/2020

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Large-scale pre-training methods of learning cross-modal representations...

7 Xiujun Li, et al. ∙

research

∙ 12/23/2019

GrabAR: Occlusion-aware Grabbing Virtual Objects in AR

Existing augmented reality (AR) applications often ignore occlusion betw...

0 Xiao Tang, et al. ∙

research

∙ 11/16/2019

Instance Shadow Detection

Instance shadow detection is a brand new problem, aiming to find shadow ...

35 Tianyu Wang, et al. ∙

research

∙ 11/16/2019

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Shadow detection in general photos is a nontrivial problem, due to the c...

0 Xiaowei Hu, et al. ∙

research

∙ 11/04/2019

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...

43 Xiaomeng Li, et al. ∙

research

∙ 07/03/2019

Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration

Brain image registration transforms a pair of images into one system wit...

0 Lihao Liu, et al. ∙

research

∙ 07/03/2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...

3 Yi Wang, et al. ∙

research

∙ 03/26/2019

Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

This paper presents a new method for shadow removal using unpaired data,...

0 Xiaowei Hu, et al. ∙

research

∙ 03/25/2019

SAC-Net: Spatial Attenuation Context for Salient Object Detection

This paper presents a new deep neural network design for salient object ...

18 Xiaowei Hu, et al. ∙

research

∙ 05/12/2018

Direction-aware Spatial Context Features for Shadow Detection and Removal

Shadow detection and shadow removal are fundamental and challenging task...

0 Xiaowei Hu, et al. ∙

research

∙ 04/02/2018

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

Vision-based vehicle detection approaches achieve incredible success in ...

0 Xiaowei Hu, et al. ∙

research

∙ 12/12/2017

Direction-aware Spatial Context Features for Shadow Detection

Shadow detection is a fundamental and challenging task, since it require...

0 Xiaowei Hu, et al. ∙

research

∙ 12/07/2016

Richer Convolutional Features for Edge Detection

In this paper, we propose an accurate edge detector using richer convolu...

0 Yun Liu, et al. ∙

research

∙ 09/22/2016

(Bandit) Convex Optimization with Biased Noisy Gradient Oracles

Algorithms for bandit convex optimization and online learning often rely...

0 Xiaowei Hu, et al. ∙

Xiaowei Hu

Featured Co-authors