400 citations · 2.1k across the 33 of their papers we have counts for
19 papers · 1 filter
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
Haoyuan Chen, Chen Li, Xiaoyan Li +8
In recent years, colorectal cancer has become one of the most significant diseases that endanger human health. Deep learning methods are increasingly important for the classificati…
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology
Yuchao Zheng, Chen Li, Xiaomin Zhou +8
Background: Breast cancer has the highest prevalence in women globally. The classification and diagnosis of breast cancer and its histopathological images have always been a hot sp…
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection
Haoyuan Chen, Chen Li, Ge Wang +9
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic…
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Chen Li, Xintong Li, Md Rahaman +8
With the development of computer-aided diagnosis (CAD) and image scanning technology, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. There…
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning
Aozhu Chen, Xinyi Huang, Hailan Lin +1
Cross-lingual image captioning, with its ability to caption an unlabeled image in a target language other than English, is an emerging topic in the multimedia field. In order to sa…
Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization
Weisen Wang, Xirong Li, Zhiyan Xu +4
This paper tackles automated categorization of Age-related Macular Degeneration (AMD), a common macular disease among people over 50. Previous research efforts mainly focus on AMD…
SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
Xirong Li, Fangming Zhou, Chaoxi Xu +2
Retrieving unlabeled videos by textual queries, known as Ad-hoc Video Search (AVS), is a core theme in multimedia data management and retrieval. The success of AVS counts on cross-…
Dual Encoding for Video Retrieval by Text
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusive…
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
Jianfeng Dong, Xun Wang, Leimin Zhang +3
Predicting the relevance between two given videos with respect to their visual content is a key component for content-based video recommendation and retrieval. Thanks to the increa…
Learn to Segment Retinal Lesions and Beyond
Qijie Wei, Xirong Li, Weihong Yu +8
Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a m…
Hierarchical Attention Networks for Medical Image Segmentation
Fei Ding, Gang Yang, Jinlu Liu +5
The medical image is characterized by the inter-class indistinction, high variability, and noise, where the recognition of pixels is challenging. Unlike previous self-attention bas…
Imagination Based Sample Construction for Zero-Shot Learning
Gang Yang, Jinlu Liu, Xirong Li
Zero-shot learning (ZSL) which aims to recognize unseen classes with no labeled training sample, efficiently tackles the problem of missing labeled data in image retrieval. Nowaday…
Dual Encoding for Zero-Example Video Retrieval
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in n…
Predicting Visual Features from Text for Image and Video Caption Retrieval
Jianfeng Dong, Xirong Li, Cees G. M. Snoek
This paper strives to find amidst a set of sentences the one best describing the content of a given image or video. Different from existing works, which rely on a joint subspace fo…
Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild
Jianfeng Dong, Xirong Li, Duanqing Xu
In order to retrieve unlabeled images by textual queries, cross-media similarity computation is a key ingredient. Although novel methods are continuously introduced, little has bee…
Improving Image Captioning by Concept-based Sentence Reranking
Xirong Li, Qin Jin
This paper describes our winning entry in the ImageCLEF 2015 image sentence generation task. We improve Google's CNN-LSTM model by introducing concept-based sentence reranking, a d…
Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction
Jianfeng Dong, Xirong Li, Cees G. M. Snoek
This paper strives to find the sentence best describing the content of an image or video. Different from existing works, which rely on a joint subspace for image / video to sentenc…
TagBook: A Semantic Video Representation without Supervision for Event Detection
Masoud Mazloom, Xirong Li, Cees G. M. Snoek
We consider the problem of event detection in video for scenarios where only few, or even zero examples are available for training. For this challenging setting, the prevailing sol…
Adaptive Tag Selection for Image Annotation
Xixi He, Xirong Li, Gang Yang +2
Not all tags are relevant to an image, and the number of relevant tags is image-dependent. Although many methods have been proposed for image auto-annotation, the question of how t…