Search Results for author: Wei Zhuo

Found 15 papers, 6 papers with code

Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation

1 code implementation18 Jan 2024 Songhe Deng, Wei Zhuo, Jinheng Xie, Linlin Shen

Class Activation Map (CAM) has emerged as a popular tool for weakly supervised semantic segmentation (WSSS), allowing the localization of object regions in an image using only image-level labels.

Contrastive Learning Prompt Engineering +4

Activating the Discriminability of Novel Classes for Few-shot Segmentation

no code implementations2 Dec 2022 Dianwen Mei, Wei Zhuo, Jiandong Tian, Guangming Lu, Wenjie Pei

To circumvent these two challenges, we propose to activate the discriminability of novel classes explicitly in both the feature encoding stage and the prediction stage for segmentation.


Improving Micro-video Recommendation via Contrastive Multiple Interests

1 code implementation19 May 2022 Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhuo

With the rapid increase of micro-video creators and viewers, how to make personalized recommendations from a large number of candidates to viewers begins to attract more and more attention.

Contrastive Learning

Fully Self-Supervised Learning for Semantic Segmentation

no code implementations24 Feb 2022 YuAn Wang, Wei Zhuo, Yucong Li, Zhi Wang, Qi Ju, Wenwu Zhu

To solve this problem, we proposed a bootstrapped training scheme for semantic segmentation, which fully leveraged the global semantic knowledge for self-supervision with our proposed PGG strategy and CAE module.

Clustering Segmentation +2

Graph Neural Networks with Feature and Structure Aware Random Walk

no code implementations19 Nov 2021 Wei Zhuo, Chenyun Yu, Guang Tan

Graph Neural Networks (GNNs) have received increasing attention for representation learning in various machine learning tasks.

Node Classification Representation Learning

Learning Inner-Group Relations on Point Clouds

1 code implementation ICCV 2021 Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu

We further verify the expandability of RPNet, in terms of both depth and width, on the tasks of classification and segmentation.

3D Classification 3D Point Cloud Classification +4

Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences

no code implementations23 Jun 2021 Zejian Chen, Wei Zhuo, Tianfu Wang, Wufeng Xue, Dong Ni

Based on the continuity between slices/frames and the common spatial layout of organs across volumes/sequences, we introduced a novel bootstrap self-supervised representation learning method by leveraging the predictable possibility of neighboring slices.

Representation Learning Self-Supervised Learning

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

1 code implementation CVPR 2022 Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao

In this work, we first construct a strong baseline of self-training (namely ST) for semi-supervised semantic segmentation via injecting strong data augmentations (SDA) on unlabeled images to alleviate overfitting noisy labels as well as decouple similar predictions between the teacher and student.

Semi-Supervised Semantic Segmentation

Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast

no code implementations7 Jun 2021 Wei Zhuo, Guang Tan

Not restricted by connectivity in the original graph, the generated views allow the model to enhance its expressive power with new and complementary perspectives from which to look at the relationship between nodes.

Contrastive Learning Graph Learning +1

Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks

no code implementations10 Mar 2021 Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Many practical recommender systems provide item recommendation for different users only via mining user-item interactions but totally ignoring the rich attribute information of items that users interact with.

Attribute Sequential Recommendation

Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference

no code implementations CVPR 2017 Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

In particular, while some of them aim at segmenting the image into regions, such as object or surface instances, others aim at inferring the semantic labels of given regions, or their support relationships.

Instance Segmentation Scene Parsing +1

Indoor Scene Structure Analysis for Single Image Depth Estimation

no code implementations CVPR 2015 Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

We tackle the problem of single image depth estimation, which, without additional knowledge, suffers from many ambiguities.

Depth Estimation

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