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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s12021-018-9362-4openalex-snapshot
Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification
inferredcites →https://doi.org/10.1038/nrn755openalex-snapshot
Control of goal-directed and stimulus-driven attention in the brain
inferredcites →https://doi.org/10.1109/cvpr.2019.00090openalex-snapshot
Query-Guided End-To-End Person Search
inferredcites →https://doi.org/10.1109/icme.2018.8486441openalex-snapshot
Text-Independent Speaker Verification Using 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/tcyb.2017.2755044openalex-snapshot
Person Reidentification via Discrepancy Matrix and Matrix Metric
inferredcites →https://doi.org/10.1109/tifs.2018.2866295openalex-snapshot
Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person
inferredcites →https://doi.org/10.1109/tip.2017.2675341openalex-snapshot
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
inferredcites →https://doi.org/10.1109/tkde.2019.2931687openalex-snapshot
Incremental Factorization of Big Time Series Data with Blind Factor Approximation
inferredcites →https://doi.org/10.1109/tmm.2017.2751969openalex-snapshot
AENet: Learning Deep Audio Features for Video Analysis
inferredcites →https://doi.org/10.1109/tmm.2018.2866370openalex-snapshot
Temporal Action Localization in Untrimmed Videos Using Action Pattern Trees
inferredcites →https://doi.org/10.1109/tmm.2018.2872897openalex-snapshot
Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking
inferredcites →https://doi.org/10.1109/tpami.2017.2652466openalex-snapshot
Longitudinal Study of Automatic Face Recognition
inferredcites →https://doi.org/10.1109/tpami.2017.2709749openalex-snapshot
SIFT Meets CNN: A Decade Survey of Instance Retrieval
inferredcites →https://doi.org/10.1109/tpds.2016.2613054openalex-snapshot
H-PARAFAC: Hierarchical Parallel Factor Analysis of Multidimensional Big Data
inferredcites →https://doi.org/10.1109/tsmc.1974.5408515openalex-snapshot
Review of Pattern Recognition in Medical Diagnosis and Consulting Relative to a New System Model
inferredcites →https://doi.org/10.1109/tsmc.2014.2331215openalex-snapshot
KinectFaceDB: A Kinect Database for Face Recognition
inferredcites →https://doi.org/10.21437/interspeech.2017-950openalex-snapshot
VoxCeleb: A Large-Scale Speaker Identification Dataset
inferredcites →https://doi.org/10.21437/interspeech.2018-1929openalex-snapshot
VoxCeleb2: Deep Speaker Recognition
inferredcites →https://doi.org/10.2352/issn.2470-1173.2016.11.imawm-463openalex-snapshot
MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World
inferredcites →https://doi.org/10.48550/arxiv.1811.07548openalex-snapshot
iQIYI-VID: A Large Dataset for Multi-modal Person Identification
inferredcites →https://doi.org/10.48550/arxiv.1902.06854openalex-snapshot
WIDER Face and Pedestrian Challenge 2018: Methods and Results
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-27077-2_7openalex-snapshot
A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies
inferred← citeshttps://doi.org/10.1007/978-981-99-0248-4_10openalex-snapshot
A Model Convolutional Neural Network for Early Detection of Chili Plant Diseases in Small Datasets
inferred← citeshttps://doi.org/10.1007/s00500-023-08863-wopenalex-snapshot
RETRACTED ARTICLE: Segmentation quality assessment network-based object detection and optimized CNN with transfer learning for yoga pose classification for health care
inferred← citeshttps://doi.org/10.1007/s00530-022-00929-3openalex-snapshot
Dual-focus: person search from Coarse-Grained Focus to Fine-Grained Focus
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110149openalex-snapshot
QE-DAL: A quantum image feature extraction with dense distribution-aware learning framework for object counting and localization
inferred← citeshttps://doi.org/10.1016/j.jvcir.2022.103719openalex-snapshot
SCPNet: Self-constrained parallelism network for keypoint-based lightweight object detection
inferred← citeshttps://doi.org/10.1109/icscss57650.2023.10169225openalex-snapshot
Sign Language Detection and Recognition using CNN
inferred← citeshttps://doi.org/10.1109/prml59573.2023.10348331openalex-snapshot
Generative adversarial network-based algorithm for 3D construction of pedestrians
inferred← citeshttps://doi.org/10.1142/s0218348x2140020xopenalex-snapshot
DYNAMICAL ANALYSIS OF THE MEMINDUCTOR-BASED CHAOTIC SYSTEM WITH HIDDEN ATTRACTOR
inferred← citeshttps://doi.org/10.1145/3472810openalex-snapshot
Age-Invariant Face Recognition by Multi-Feature Fusionand Decomposition with Self-attention
inferred← citeshttps://doi.org/10.1145/3503161.3548014openalex-snapshot
Towards Causality Inference for Very Important Person Localization
inferred← citeshttps://doi.org/10.1145/3503161.3548298openalex-snapshot
Fine-Grained Fragment Diffusion for Cross Domain Crowd Counting
inferred← citeshttps://doi.org/10.1145/3565886openalex-snapshot
Beyond the Parts: Learning Coarse-to-Fine Adaptive Alignment Representation for Person Search
inferred← citeshttps://doi.org/10.1145/3714413openalex-snapshot
Context-Assisted Active Learning for Weakly Supervised Person Search
inferred← citeshttps://doi.org/10.1145/3718751.3718795openalex-snapshot
Research on Efficient Microbial Classification and Recognition Methods Based on AI
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