NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (30)

cs.CV2020

Unsupervised Domain Expansion from Multiple Sources

Jing Zhang, Wanqing Li, Lu sheng +2

cs.CV2025

Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image

Xiao He, Chang Tang, Xinwang Liu +5

cs.AI2024

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge

Miao Zhang, Ziming Wang, Runtian Xing +4

cs.CV2018

Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

Pichao Wang, Wanqing Li, Zhimin Gao +2

cs.CV2023

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks

Renxiang Guan, Zihao Li, Xianju Li +2

cs.CV2025

Smile on the Face, Sadness in the Eyes: Bridging the Emotion Gap with a Multimodal Dataset of Eye and Facial Behaviors

Kejun Liu, Yuanyuan Liu, Lin Wei +4

cs.LG2025

When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering

Jiangkai Long, Yanran Zhu, Chang Tang +3

cs.CV2026

Learning Disentangled Representations for Generalized Multi-view Clustering

Xin Zou, Ruimeng Liu, Chang Tang +4

cs.CV2025

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models

Xin Zou, Yizhou Wang, Yibo Yan +8

cs.CV2017

Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks

Pichao Wang, Wanqing Li, Zhimin Gao +3

cs.CV2015

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences

Pichao Wang, Wanqing Li, Zhimin Gao +3

cs.CV2023

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations

Zhenglai Li, Chang Tang, Xinwang Liu +3

cs.CV2017

Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks

Pichao Wang, Wanqing Li, Song Liu +3

cs.LG2019

Simultaneous Clustering and Optimization for Evolving Datasets

Yawei Zhao, En Zhu, Xinwang Liu +3

cs.CV2025

Mask-informed Deep Contrastive Incomplete Multi-view Clustering

Zhenglai Li, Yuqi Shi, Xiao He +1

cs.CV2026

Generative Diffusion Contrastive Network for Multi-View Clustering

Jian Zhu, Xin Zou, Xi Wang +3

cs.CV2024

Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering

Jingxin Wang, Renxiang Guan, Kainan Gao +4

cs.CV2025

Trusted Mamba Contrastive Network for Multi-View Clustering

Jian Zhu, Xin Zou, Lei Liu +4

cs.CV2025

Balanced Multi-view Clustering

Zhenglai Li, Jun Wang, Chang Tang +3

cs.CV2023

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering

Renxiang Guan, Zihao Li, Xianju Li +1

cs.CV2023

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation

Xiao He, Chang Tang, Xinwang Liu +3

cs.CV2017

Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors

Chang Tang, Pichao Wang, Wanqing Li

cs.CV2024

Hard Region Aware Network for Remote Sensing Change Detection

Zhenglai Li, Chang Tang, Xinwang Liu +4

cs.CV2023

Central Similarity Multi-View Hashing for Multimedia Retrieval

Jian Zhu, Wen Cheng, Yu Cui +4

eess.IV2023

End-to-end Hyperspectral Image Change Detection Network Based on Band Selection

Qingren Yao, Yuan Zhou, Chang Tang +1

cs.CV2024

DIG-FACE: De-biased Learning for Generalized Facial Expression Category Discovery

Tingzhang Luo, Yichao Liu, Yuanyuan Liu +6

cs.CV2023

GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering

Weiqing Yan, Yuanyang Zhang, Chenlei Lv +4

cs.CV2025

CLUENet: Cluster Attention Makes Neural Networks Have Eyes

Xiangshuai Song, Jun-Jie Huang, Tianrui Liu +2

cs.CV2026

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering

Jian Zhu, Xin Zou, Jun Sun +7

cs.CV2016

RGB-D-based Action Recognition Datasets: A Survey

Jing Zhang, Wanqing Li, Philip O. Ogunbona +2