b'Xiangtai Li'

research

∙ 08/03/2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

How to enable learnability for new classes while keeping the capability ...

0 Yibo Yang, et al. ∙

research

∙ 07/23/2023

Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision

Visual Grounding (VG) aims at localizing target objects from an image ba...

0 Menghao Li, et al. ∙

research

∙ 07/17/2023

Pair then Relation: Pair-Net for Panoptic Scene Graph Generation

Panoptic Scene Graph (PSG) is a challenging task in Scene Graph Generati...

0 Jinghao Wang, et al. ∙

research

∙ 06/14/2023

Explore In-Context Learning for 3D Point Cloud Understanding

With the rise of large-scale models trained on broad data, in-context le...

0 Zhongbin Fang, et al. ∙

research

∙ 05/09/2023

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Change detection is an essential and widely utilized task in remote sens...

0 Guangliang Cheng, et al. ∙

research

∙ 04/19/2023

Transformer-Based Visual Segmentation: A Survey

Visual segmentation seeks to partition images, video frames, or point cl...

24 Xiangtai Li, et al. ∙

research

∙ 03/22/2023

Tube-Link: A Flexible Cross Tube Baseline for Universal Video Segmentation

The goal of video segmentation is to accurately segment and track every ...

12 Xiangtai Li, et al. ∙

research

∙ 02/06/2023

Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

Few-shot class-incremental learning (FSCIL) has been a challenging probl...

0 Yibo Yang, et al. ∙

research

∙ 01/03/2023

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation

Few Shot Instance Segmentation (FSIS) requires models to detect and segm...

0 Yue Han, et al. ∙

research

∙ 01/03/2023

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation

Panoptic Part Segmentation (PPS) unifies panoptic segmentation and part ...

0 Xiangtai Li, et al. ∙

research

∙ 01/02/2023

Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation

In this work, we focus on instance-level open vocabulary segmentation, i...

0 Jianzong Wu, et al. ∙

research

∙ 12/16/2022

Convolution-enhanced Evolving Attention Networks

Attention-based neural networks, such as Transformers, have become ubiqu...

0 Yujing Wang, et al. ∙

research

∙ 09/20/2022

Towards Robust Referring Image Segmentation

Referring Image Segmentation (RIS) aims to connect image and language vi...

0 Jianzong Wu, et al. ∙

research

∙ 07/10/2022

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow

In this paper, we focus on exploring effective methods for faster, accur...

0 Xiangtai Li, et al. ∙

research

∙ 06/19/2022

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm

Motivated by biological evolution, this paper explains the rationality o...

7 Jiangning Zhang, et al. ∙

research

∙ 04/10/2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

This paper presents Video K-Net, a simple, strong, and unified framework...

18 Xiangtai Li, et al. ∙

research

∙ 04/10/2022

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation

Panoptic Part Segmentation (PPS) aims to unify panoptic segmentation and...

0 Xiangtai Li, et al. ∙

research

∙ 04/10/2022

Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition

Human fashion understanding is one important computer vision task since ...

0 Shilin Xu, et al. ∙

research

∙ 03/17/2022

Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

Modern deep neural networks for classification usually jointly learn a b...

1 Yibo Yang, et al. ∙

research

∙ 01/13/2022

TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers

Detection Transformer (DETR) and Deformable DETR have been proposed to e...

29 Qianyu Zhou, et al. ∙

research

∙ 07/28/2021

Improving Video Instance Segmentation via Temporal Pyramid Routing

Video Instance Segmentation (VIS) is a new and inherently multi-task pro...

0 Xiangtai Li, et al. ∙

research

∙ 07/28/2021

Global Aggregation then Local Distribution for Scene Parsing

Modelling long-range contextual relationships is critical for pixel-wise...

6 Xiangtai Li, et al. ∙

research

∙ 05/25/2021

BoundarySqueeze: Image Segmentation as Boundary Squeezing

We propose a novel method for fine-grained high-quality image segmentati...

9 Hao He, et al. ∙

research

∙ 05/25/2021

Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation

Representation of semantic context and local details is the essential is...

0 Chen Shi, et al. ∙

research

∙ 05/25/2021

Fast and Accurate Scene Parsing via Bi-direction Alignment Networks

In this paper, we propose an effective method for fast and accurate scen...

0 Yanran Wu, et al. ∙

research

∙ 05/23/2021

End-to-End Video Object Detection with Spatial-Temporal Transformers

Recently, DETR and Deformable DETR have been proposed to eliminate the n...

29 Lu He, et al. ∙

research

∙ 03/29/2021

Enhanced Boundary Learning for Glass-like Object Segmentation

Glass-like objects such as windows, bottles, and mirrors exist widely in...

0 Hao He, et al. ∙

research

∙ 03/11/2021

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

Aerial Image Segmentation is a particular semantic segmentation problem ...

0 Xiangtai Li, et al. ∙

research

∙ 11/06/2020

Towards Efficient Scene Understanding via Squeeze Reasoning

Graph-based convolutional model such as non-local block has shown to be ...

7 Xiangtai Li, et al. ∙

research

∙ 07/20/2020

Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Existing semantic segmentation approaches either aim to improve the obje...

13 Xiangtai Li, et al. ∙

research

∙ 02/24/2020

Semantic Flow for Fast and Accurate Scene Parsing

In this paper, we focus on effective methods for fast and accurate scene...

0 Xiangtai Li, et al. ∙

research

∙ 09/16/2019

Global Aggregation then Local Distribution in Fully Convolutional Networks

It has been widely proven that modelling long-range dependencies in full...

3 Xiangtai Li, et al. ∙

research

∙ 09/13/2019

Dual Graph Convolutional Network for Semantic Segmentation

Exploiting long-range contextual information is key for pixel-wise predi...

12 Li Zhang, et al. ∙

research

∙ 04/03/2019

GFF: Gated Fully Fusion for Semantic Segmentation

Semantic segmentation generates comprehensive understanding of scenes at...

0 Xiangtai Li, et al. ∙

Xiangtai Li

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