Qihang Yu | DeepAI

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Yan Wang
215 publications
Alan Yuille
192 publications
Daniel Cremers
177 publications
Xin Chen
162 publications
Xiao Wang
144 publications
In So Kweon
140 publications
Le Lu
114 publications
Lingxi Xie
105 publications
Zhe Lin
100 publications
Jingren Zhou
90 publications
Wei Shen
89 publications

∙ 08/04/2023

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Open-vocabulary segmentation is a challenging task requiring segmenting ...

0 Qihang Yu, et al. ∙

∙ 06/29/2023

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation

This paper presents a new mechanism to facilitate the training of mask t...

0 Shuyang Sun, et al. ∙

∙ 06/12/2023

Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation

In this work, we present a robust approach for joint part and object seg...

0 Ju He, et al. ∙

∙ 04/10/2023

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

Video Panoptic Segmentation (VPS) aims to achieve comprehensive pixel-le...

0 Inkyu Shin, et al. ∙

∙ 03/30/2023

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

There has been a recent explosion of computer vision models which perfor...

4 Lucas Beyer, et al. ∙

∙ 01/28/2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Human readers or radiologists routinely perform full-body multi-organ mu...

0 Jieneng Chen, et al. ∙

∙ 10/04/2022

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

This paper presents MOAT, a family of neural networks that build on top ...

4 Chenglin Yang, et al. ∙

∙ 07/08/2022

k-means Mask Transformer

The rise of transformers in vision tasks not only advances network backb...

15 Qihang Yu, et al. ∙

∙ 06/17/2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation

We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-base...

0 Qihang Yu, et al. ∙

∙ 05/30/2022

TubeFormer-DeepLab: Video Mask Transformer

We present TubeFormer-DeepLab, the first attempt to tackle multiple core...

0 Dahun Kim, et al. ∙

∙ 06/17/2021

DeepLab2: A TensorFlow Library for Deep Labeling

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a ...

0 Mark Weber, et al. ∙

∙ 06/04/2021

Glance-and-Gaze Vision Transformer

Recently, there emerges a series of vision Transformers, which show supe...

0 Qihang Yu, et al. ∙

∙ 12/12/2020

Mask Guided Matting via Progressive Refinement Network

We propose Mask Guided (MG) Matting, a robust matting framework that tak...

0 Qihang Yu, et al. ∙

∙ 11/25/2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

Leveraging temporal information has been regarded as essential for devel...

10 Yutong Bai, et al. ∙

∙ 10/12/2020

Shape-Texture Debiased Neural Network Training

Shape and texture are two prominent and complementary cues for recognizi...

21 Yingwei Li, et al. ∙

∙ 04/04/2020

Neural Architecture Search for Lightweight Non-Local Networks

Non-Local (NL) blocks have been widely studied in various vision tasks. ...

5 Yingwei Li, et al. ∙

∙ 03/28/2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network

3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...

8 Qihang Yu, et al. ∙

∙ 03/18/2020

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

0 Yingda Xia, et al. ∙

∙ 02/19/2020

When Radiology Report Generation Meets Knowledge Graph

Automatic radiology report generation has been an attracting research pr...

0 Yixiao Zhang, et al. ∙

∙ 12/20/2019

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

3D convolution neural networks (CNN) have been proved very successful in...

46 Qihang Yu, et al. ∙

∙ 04/02/2019

Thickened 2D Networks for 3D Medical Image Segmentation

There has been a debate in medical image segmentation on whether to use ...

2 Qihang Yu, et al. ∙

∙ 09/13/2017

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

We aim at segmenting small organs (e.g., the pancreas) from abdominal CT...

0 Qihang Yu, et al. ∙

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