International Journal of Multimedia Information Retrieval

Papers
(The TQCC of International Journal of Multimedia Information Retrieval is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Video anomaly detection with memory-guided multilevel embedding123
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey73
Multiple object tracking under occlusions based on the stage-wise association strategy with weak cues59
Recent trends in recommender systems: a survey55
VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias49
Strengthening attention: knowledge distillation via cross-layer feature fusion for image classification47
Enhancing Facial Beauty Prediction via a Dual-Pathway Hybrid Architecture Integrating Vmamba and ViT39
DELIGHT-Net: DEep and LIGHTweight network to segment Indian text at word level from wild scenic images35
VPC-VoxelNet: multi-modal fusion 3D object detection networks based on virtual point clouds30
Enhanced YOLOv10 for small object detection with context-aware and adaptive modules26
A local representation-enhanced recurrent convolutional network for image captioning25
Prototype local–global alignment network for image–text retrieval23
MMDL: a multi-modal deep learning for video highlight detection in sports20
Feature-NeuS: Neural Implicit Surface Reconstruction Using Feature Multi-View Consistency Constraint20
Hierarchical multi-modal fusion with vision transformers for robust action recognition in infrared-visible videos20
Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions20
DC-GNN: drop channel graph neural network for object classification and part segmentation in the point cloud19
Similarity-based face image retrieval using sparsely embedded deep features and binary code learning19
CAMIR: fine-tuning CLIP and multi-head cross-attention mechanism for multimodal image retrieval with sketch and text features17
Visual and semantic ensemble for scene text recognition with gated dual mutual attention16
Human behavior recognition based on DualBiNet model16
How can users’ comments posted on social media videos be a source of effective tags?15
Multimodal music datasets? Challenges and future goals in music processing15
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis15
Semantic-enhanced discriminative embedding learning for cross-modal retrieval14
Generative adversarial networks for 2D-based CNN pose-invariant face recognition13
Few2Decide: towards a robust model via using few neuron connections to decide13
State of art and emerging trends on group recommender system: a comprehensive review12
An emotion-driven, transformer-based network for multimodal fake news detection12
Cross-domain image retrieval: methods and applications12
DAF-Net: dense attention feature pyramid network for multiscale object detection11
MFAFD: a few-shot learning method for cascading models with parameter free attention and finite discrete space11
Weighted semantic feature based self-supervised deep cross-modal hashing11
A Comprehensive Review of Multimodal Visual Representation Learning: Tracing the Evolution from CNNs to Transformers and Beyond11
Multi-view learning for camouflaged object detection with PVTv211
Ultra fast-inference depth completion with linear attention-based cascaded hourglass network10
Human action recognition using an optical flow-gated recurrent neural network10
Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review10
InceptionDepth-wiseYOLOv2: improved implementation of YOLO framework for pedestrian detection10
Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks9
Multi-sensor human activity recognition using CNN and GRU9
Concept-based and embedding-based models in lifelog retrieval: an empirical comparison of performance9
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