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ORCIDIET Computer Vision, Volume 19
Volume 19, Number 1, 2025
- Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Jinjin Chi
:
Structure-Based Uncertainty Estimation for Source-Free Active Domain Adaptation. - Qiangqiang He, Shuwei Qian, Chongjun Wang:
FastVDT: Fast Transformer With Optimised Attention Masks and Positional Encoding for Visual Dialogue. - Xin Ning, Jun Zhou, Jian Cheng, Jing Wu, Chen Wang, Lin Gu:
Guest Editorial: Multi-view representation learning for computer vision. - Zhoufeng Liu, Bingrui Li, Miao Yu, Guangshuai Gao, Chunlei Li:
Enhanced Foreground-Background Discrimination for Weakly Supervised Semantic Segmentation. - Yixin Li, Xintao Luo, Weijie Wu, Minjia Zheng:
LRCM: Enhancing Adversarial Purification Through Latent Representation Compression. - Esra Yilmaz, Sevim Ceylan Bocekci, Cengiz Safak, Kazim Yildiz:
Advancements in smart agriculture: A systematic literature review on state-of-the-art plant disease detection with computer vision. - Zhong Guan, Yongli Hu, Huajie Jiang, Yanfeng Sun, Baocai Yin:
MVDT: Multiview Distillation Transformer for View-Invariant Sign Language Translation. - Haowen Hu, Ryo Hachiuma, Hideo Saito:
Autoencoder-based unsupervised one-class learning for abnormal activity detection in egocentric videos. - Xiaxia He, Boyue Wang, Cuicui Luo, Junbin Gao, Yongli Hu, Baocai Yin:
Multi-view subspace clustering with incomplete graph information. - Zhoujie Zheng, Guojun Liang, Huibin Luo, Haichang Yin:
Attention assessment based on multi-view classroom behaviour recognition. - Qingyan Ding, Yu Pan, Jianxin Li, Lianxin Li, Nan Liu, Na Li, Wan Zheng, Xuecheng Dong:
AMEF-Net: Towards an attention and multi-level enhancement fusion for medical image classification in Parkinson's aided diagnosis. - Yanfeng Han, Ming Yu, Jing Liu:
Adaptive Multiscale Attention Feature Aggregation for Multi-Modal 3D Occluded Object Detection. - Shaohua Qi, Weijun Li, Guowei Yang:
Double weighting convolutional neural net-works for multi-view 3D shape recognition. - Henrietta Ridley, Roberto Alcover-Couso, Juan C. SanMiguel:
Controlling semantics of diffusion-augmented data for unsupervised domain adaptation. - Hao Huang, Yujie Lin, Siyu Chen, Haiyang Liu:
Synchronised and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition. - Yi Li, Zan Wang, Weiran Niu:
SMGNFORMER: Fusion Mamba-graph transformer network for human pose estimation. - Yangrong Liu, Jian Li, Huaiyu Wang, Ming Lu, Haorao Shen, Qin Wang:
TAPCNet: Tactile-Assisted Point Cloud Completion Network via Iterative Fusion Strategy. - Rosie Finnegan, Joseph Metcalfe, Sara Sharifzadeh, Fabio Caraffini, Xianghua Xie, Alberto Hornero, Nicholas W. Synes:
Temporal Optimisation of Satellite Image-Based Crop Mapping: A Comparison of Deep Time Series and Semi-Supervised Time Warping Strategies. - Xue Xia, Yajing Peng, Zichen Li, Jinting Shi, Yuming Fang:
Texture-Aware Network for Enhancing Inner Smoke Representation in Visual Smoke Density Estimation. - Suhua Peng, Zongliang Zhang, Xingwang Huang, Zongyue Wang, Shubing Su, Guorong Cai:
A robust few-shot classifier with image as set of points. - Junjun Fan, Zeqi Ma, Jiajun Wen, Zhihui Lai, Wei-Cheng Xie, Wai Keung Wong:
Self-inferring incomplete multi-view clustering. - Fengyu Hao, Xinna Shang, Wenfa Li, Liping Zhang, Baoli Lu:
VT-NeRF: Neural radiance field with a vertex-texture latent code for high-fidelity dynamic human-body rendering. - Xuan Chen, Linxuan Li, Xiaoyu Liu, Fengjuan Yin, Xue Liu, Xiaoxiao Zhu, Yufeng Wang, Fanbin Meng:
NBCDC-YOLOv8: A new framework to improve blood cell detection and classification based on YOLOv8. - Qu Kun, Stanley Ebhohimhen Abhadiomhen, Zhifeng Liu:
Multiview subspace clustering via low-rank correlation analysis. - Youcef Sklab, Hanane Ariouat, Eric Chenin, Edi Prifti, Jean-Daniel Zucker:
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds From RGB Images for 2D Classification. - Qianru Chen, Yufan Zhou, Xintong Hou, Kunze Jiang, Jincheng Li, Chao Wu:
Multi-Attention Fusion Artistic Radiance Fields and Beyond. - Jiangyan Dai, Huihui Zhang, Jin Gao, Chunlei Chen, Yugen Yi:
Hybrid feature-based moving cast shadow detection. - Peng Li, Jun Ni, Dapeng Tao:
End-to-End Cascaded Image Restoration and Object Detection for Rain and Fog Conditions. - Vanessa Suessle, Marco Heurich, Colleen T. Downs, Andreas Weinmann, Elke Hergenröther:
CNN-Based Flank Predictor for Quadruped Animal Species. - Yi Xu, Ruichao Hou, Ziheng Qi, Tongwei Ren:
Mamba4SOD: RGB-T Salient Object Detection Using Mamba-Based Fusion Module. - Weilong Jin, Zilei Wang, Yixin Zhang:
Category-instance distillation based on visual-language models for rehearsal-free class incremental learning. - Ekaterina A. Nepovinnykh, Veikka Immonen, Tuomas Eerola, Charles V. Stewart, Heikki Kälviäinen:
Re-identification of patterned animals by multi-image feature aggregation and geometric similarity. - Chenyang Li, Yansong Duan:
A principal direction-guided local voxelisation structural feature approach for point cloud registration. - Zefeng Chen, Zhijiang Li, Yunqi Xue, Li Zhang:
Foundation Model Based Camouflaged Object Detection. - Jayati Vijaywargiya, Anandakumar M. Ramiya:
Semantic segmentation of urban airborne LiDAR data of varying landcover diversity using XGBoost. - Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Performance of Computer Vision Algorithms for Fine-Grained Classification Using Crowdsourced Insect Images. - Suya Li, Hengyi Ren, Xin Xie, Ying Cao:
A Review of Multi-Object Tracking in Recent Times. - Mengyao Xu, Hai Chen, Chonghao Zhang, Yuanjun Zou, Chenchu Xu, Yanping Zhang, Fulan Qian:
Generating Transferable Adversarial Point Clouds via Autoencoders for 3D Object Classification. - Jun Hu, Chaolu Feng, Haoxiang Jie, Zuotao Ning, Xinyi Zuo, Wei Liu, Xiangyu Wei:
LLFormer4D: LiDAR-based lane detection method by temporal feature fusion and sparse transformer. - Jinfeng Cao, Bo Peng, Mingzhong Gao, Haichun Hao, Xinfang Li, Hongwei Mou:
Object Detection Based on CNN and Vision-Transformer: A Survey. - Shiyin Zhang, Yafei Dong, Shuang Qiu:
The Generated-bbox Guided Interactive Image Segmentation With Vision Transformers. - Xiaobin Hong, Tarmizi Adam, Masitah Ghazali:
Tran-GCN: A Transformer-Enhanced Graph Convolutional Network for Person Re-Identification in Monitoring Videos. - Hao Yi, Bo Liu, Bin Zhao, Enhai Liu:
Outliers rejection for robust camera pose estimation using graduated non-convexity. - Xian Zhu, Xiaoqin Zeng, Yuhua Cong, Yanhao Huang, Ziyan Zhu, Yantao Luo:
TomoSAR 3D reconstruction: Cascading adversarial strategy with sparse observation trajectory. - Haiyan Long, Hai Chen, Mengyao Xu, Chonghao Zhang, Fulan Qian:
Crafting Transferable Adversarial Examples Against 3D Object Detection. - Haopeng Lei, Hao Yin, Kaijun Liang, Mingwen Wang, Jinshan Zeng, Guoliang Luo:
EDG-CDM: A New Encoder-Guided Conditional Diffusion Model-Based Image Synthesis Method for Limited Data. - Haoxuan Qu, Hossein Rahmani, Li Xu, Bryan M. Williams, Jun Liu:
Recent Advances of Continual Learning in Computer Vision: An Overview. - Shuqiao Sun, Rongke Liu, Shantong Sun:
Range-free disparity estimation with self-adaptive dual-matching. - Yaqiong Wang, Jing Zhang, Yipei Wang, Shiyu Hu, Baoguo Shen, Zhenhua Hou, Wanting Zhou:
Improved SAR Aircraft Detection Algorithm Based on Visual State Space Models. - Sanjay Dutta, Tossapon Boongoen, Reyer Zwiggelaar:
Human activity recognition: A review of deep learning-based methods. - Yi Wang, Xiaobo Shen, Zhenmin Tang, Ming Zhang:
Semi-Paired Semi-Supervised Deep Hashing for cross-view retrieval. - Xiaoshun Wang, Yunhan Li:
Metric-guided class-level alignment for domain adaptation. - Yakai Zhang, Ping Yang, Haoran Wang, Zizhao Wu, Xiaoling Gu, Alexandru C. Telea, Jirí Kosinka:
PAD: Detail-Preserving Point Cloud Reconstruction and Generation via Autodecoders. - Shunyao Zhang, Xuehua Song, Changda Wang, Yinwu Gu, Yiming Ma, Hailiang Ma:
Object-meta and MSGAE-MP: Multi-dimensional video anomaly detection. - Qianxing Li, Dehui Kong, Jinghua Li, Baocai Yin:
MMF-Net: A novel multi-feature and multi-level fusion network for 3D human pose estimation. - Binyuan Huang, Yongdong Luo, Jiahui Xie, Jiahui Pan, Chengju Zhou:
Attention-aware spatio-temporal learning for multi-view gait-based age estimation and gender classification. - Yutong Xie, Shuoqi Zhang, Lide Guo, Yuming Liu, Rukai Wei, Yanzhao Xie, Yangtao Wang, Maobin Tang, Lisheng Fan:
Angle Metric Learning for Discriminative Features on Vehicle Re-Identification. - Puxuan Xie, Renwu Gao, Weizeng Lu, Linlin Shen:
Weakly supervised bounding-box generation for camera-trap image based animal detection. - Ivan Rodin, Antonino Furnari, Giovanni Maria Farinella:
Egocentric action anticipation from untrimmed videos. - Li Zhang, Yunjie Xu, Liaoying Zhao, Feiwei Qin:
Resolution independent person re-identification network. - Yanlei Wei, Xiaolin Zhang, Yongping Wang, Jingyu Wang, Lixin Liu:
GRVT: Improving the Transferability of Adversarial Attacks Through Gradient Related Variance and Input Transformation. - Yue Hu:
Unlocking the power of multi-modal fusion in 3D object tracking. - Avirath Sundaresan, Jason Parham, Jonathan P. Crall, Rosemary Warungu, Timothy Muthami, Jackson Miliko, Margaret Mwangi, Jason Holmberg, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Sara Beery:
Adapting the Re-ID Challenge for Static Sensors. - Yuxing Dai, Jing Lai, Xuexin Xu, Jianbing Xiahou, Jie Lian, Zhihong Zhang:
Multi-view short-term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation. - Hongchang Zhu, Faming Fang:
HMSFU: A hierarchical multi-scale fusion unit for video prediction and beyond. - Shujie Chen, Zhonglin Liu, Jianfeng Dong, Xun Wang, Di Zhou:
Representation alignment contrastive regularisation for multi-object tracking. - Zhi Lu, Liguo Sun, Pin Lv, Jiuwu Hao, Bo Tang, Xuanzhen Chen:
A New Large-Scale Dataset for Marine Vessel Re-Identification Based on Swin Transformer Network in Ocean Surveillance Scenario. - Husheng Dong, Ping Lu, Yuanfeng Yang, Xun Sun:
Feature-Level Compensation and Alignment for Visible-Infrared Person Re-Identification. - Niclas Joswig, Laura Ruotsalainen:
Geometric Edge Modelling in Self-Supervised Learning for Enhanced Indoor Depth Estimation.
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