b'Yunchao Wei'

research

∙ 08/20/2023

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data

The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...

0 Yanda Li, et al. ∙

research

∙ 08/14/2023

CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation

Vision-Language Pretraining (VLP) has shown impressive results on divers...

0 Hongguang Zhu, et al. ∙

research

∙ 08/13/2023

CLE Diffusion: Controllable Light Enhancement Diffusion Model

Low light enhancement has gained increasing importance with the rapid de...

0 Yuyang Yin, et al. ∙

research

∙ 04/03/2023

Disentangled Pre-training for Image Matting

Image matting requires high-quality pixel-level human annotations to sup...

0 Yanda Li, et al. ∙

research

∙ 03/09/2023

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

The goal of continual learning is to improve the performance of recognit...

0 Gengwei Zhang, et al. ∙

research

∙ 11/13/2022

Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation

Incremental or continual learning has been extensively studied for image...

0 Zekang Zhang, et al. ∙

research

∙ 07/27/2022

SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding

In this paper, we investigate how to achieve better visual grounding wit...

0 Mengxue Qu, et al. ∙

research

∙ 06/17/2022

Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval

Our goal in this research is to study a more realistic environment in wh...

0 Xiao Dong, et al. ∙

research

∙ 06/12/2022

FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens

Fisheye lens gains increasing applications in computational photography ...

0 Kang Liao, et al. ∙

research

∙ 04/18/2022

Cylin-Painting: Seamless 360° Panoramic Image Outpainting and Beyond with Cylinder-Style Convolutions

Image outpainting gains increasing attention since it can generate the c...

2 Kang Liao, et al. ∙

research

∙ 04/07/2022

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

Mining precise class-aware attention maps, a.k.a, class activation maps,...

0 Peng-Tao Jiang, et al. ∙

research

∙ 03/22/2022

Associating Objects with Scalable Transformers for Video Object Segmentation

This paper investigates how to realize better and more efficient embeddi...

5 Zongxin Yang, et al. ∙

research

∙ 11/11/2021

Clicking Matters:Towards Interactive Human Parsing

In this work, we focus on Interactive Human Parsing (IHP), which aims to...

3 Yutong Gao, et al. ∙

research

∙ 09/09/2021

M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks

In this paper, we aim to advance the research of multi-modal pre-trainin...

0 Xiao Dong, et al. ∙

research

∙ 08/26/2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

This work targets designing a principled and unified training-free frame...

0 Wuyang Chen, et al. ∙

research

∙ 08/19/2021

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

Superpixel segmentation has recently seen important progress benefiting ...

0 Yaxiong Wang, et al. ∙

research

∙ 07/30/2021

Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining

Nowadays, customer's demands for E-commerce are more diversified, which ...

0 Xunlin Zhan, et al. ∙

research

∙ 06/20/2021

ReGO: Reference-Guided Outpainting for Scenery Image

We aim to tackle the challenging yet practical scenery image outpainting...

0 Yaxiong Wang, et al. ∙

research

∙ 06/08/2021

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation is receiving great attention due...

0 Bingfeng Zhang, et al. ∙

research

∙ 06/04/2021

Associating Objects with Transformers for Video Object Segmentation

This paper investigates how to realize better and more efficient embeddi...

0 Zongxin Yang, et al. ∙

research

∙ 06/04/2021

Few-Shot Segmentation via Cycle-Consistent Transformer

Few-shot segmentation aims to train a segmentation model that can fast a...

0 Gengwei Zhang, et al. ∙

research

∙ 06/02/2021

Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation

Referring video object segmentation (RVOS) aims to segment video objects...

0 Chen Liang, et al. ∙

research

∙ 05/15/2021

Cross-Modal Progressive Comprehension for Referring Segmentation

Given a natural language expression and an image/video, the goal of refe...

0 Si Liu, et al. ∙

research

∙ 01/26/2021

AINet: Association Implantation for Superpixel Segmentation

Recently, some approaches are proposed to harness deep convolutional net...

15 Yaxiong Wang, et al. ∙

research

∙ 11/25/2020

Delving Deep into Label Smoothing

Label smoothing is an effective regularization tool for deep neural netw...

0 Chang-Bin Zhang, et al. ∙

research

∙ 10/31/2020

Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

Domain adaptive semantic segmentation aims to train a model performing s...

0 Guoliang Kang, et al. ∙

research

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, et al. ∙

research

∙ 10/13/2020

Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration

This paper investigates the principles of embedding learning to tackle t...

6 Zongxin Yang, et al. ∙

research

∙ 10/01/2020

Referring Image Segmentation via Cross-Modal Progressive Comprehension

Referring image segmentation aims at segmenting the foreground masks of ...

5 Shaofei Huang, et al. ∙

research

∙ 08/19/2020

DONet: Dual Objective Networks for Skin Lesion Segmentation

Skin lesion segmentation is a crucial step in the computer-aided diagnos...

18 Yaxiong Wang, et al. ∙

research

∙ 08/12/2020

Inter-Image Communication for Weakly Supervised Localization

Weakly supervised localization aims at finding target object regions usi...

1 Xiaolin Zhang, et al. ∙

research

∙ 06/17/2020

Sketch-Guided Scenery Image Outpainting

The outpainting results produced by existing approaches are often too ra...

7 Yaxiong Wang, et al. ∙

research

∙ 06/09/2020

Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps

Recently, remarkable progress has been made in weakly supervised object ...

4 Xiaolin Zhang, et al. ∙

research

∙ 05/22/2020

Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

Deep Neural Network has shown great strides in the coarse-grained image ...

50 Prateek Shroff, et al. ∙

research

∙ 05/18/2020

Omni-supervised Facial Expression Recognition: A Simple Baseline

In this paper, we target on advancing the performance in facial expressi...

13 Ping Liu, et al. ∙

research

∙ 04/21/2020

The 1st Agriculture-Vision Challenge: Methods and Results

The first Agriculture-Vision Challenge aims to encourage research in dev...

18 Mang Tik Chiu, et al. ∙

research

∙ 04/14/2020

VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification

One fundamental challenge of vehicle re-identification (re-id) is to lea...

5 Zhedong Zheng, et al. ∙

research

∙ 04/02/2020

Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation

Learning segmentation from synthetic data and adapting to real data can ...

3 Zhonghao Wang, et al. ∙

research

∙ 03/30/2020

Laplacian Denoising Autoencoder

While deep neural networks have been shown to perform remarkably well in...

5 Jianbo Jiao, et al. ∙

research

∙ 03/30/2020

Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Interactive video object segmentation (iVOS) aims at efficiently harvest...

10 Jiaxu Miao, et al. ∙

research

∙ 03/18/2020

Collaborative Video Object Segmentation by Foreground-Background Integration

In this paper, we investigate the principles of embedding learning betwe...

11 Zongxin Yang, et al. ∙

research

∙ 03/18/2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

We consider the problem of unsupervised domain adaptation for semantic s...

2 Zhonghao Wang, et al. ∙

research

∙ 02/27/2020

University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization

We consider the problem of cross-view geo-localization. The primary chal...

5 Zhedong Zheng, et al. ∙

research

∙ 01/05/2020

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

The success of deep learning in visual recognition tasks has driven adva...

11 Mang Tik Chiu, et al. ∙

research

∙ 11/19/2019

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Weakly supervised semantic segmentation is a challenging task as it only...

27 Bingfeng Zhang, et al. ∙

research

∙ 10/22/2019

Self-Correction for Human Parsing

Labeling pixel-level masks for fine-grained semantic segmentation tasks,...

26 Peike Li, et al. ∙

research

∙ 08/26/2019

SPGNet: Semantic Prediction Guidance for Scene Parsing

Multi-scale context module and single-stage encoder-decoder structure ar...

16 Bowen Cheng, et al. ∙

research

∙ 11/28/2018

CCNet: Criss-Cross Attention for Semantic Segmentation

Long-range dependencies can capture useful contextual information to ben...

6 Zilong Huang, et al. ∙

research

∙ 11/26/2018

One Shot Domain Adaptation for Person Re-Identification

How to effectively address the domain adaptation problem is a challengin...

0 Yang Fu, et al. ∙

research

∙ 11/23/2018

Revisiting Pre-training: An Efficient Training Method for Image Classification

The training method of repetitively feeding all samples into a pre-defin...

10 Bowen Cheng, et al. ∙

Yunchao Wei

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