Latest Research in Computer Vision and Pattern Recognition

31 research papers · 2026 median publication year

Top Research Topics in Computer Vision and Pattern Recognition

Highest-Cited Papers

  1. Indian Sign Language Human Activity Recognition
  2. Indian Sign Language Human Activity Recognition
  3. SIGMA IoT enabled sensor based embedded gesture recognition system using RISP algorithm for real time assistive communication for speech and hearing disabilities
  4. Attention-Steered Vision-Language Models for Sign Language Translation
  5. Zero-Shot Cross-Lingual Recognition of Sign Language Handshapes
  6. Machine Learning as a Tool for the Development of Sign Recognition Systems: A Review
  7. Deep Learning-Based Sign Language Translation: A Survey and Taxonomy
  8. SST-Net: Spatiotemporal Collaborative Attention for Sign Language Recognition
  9. Web SMILE demo: a web application providing automated feedback on sign language vocabulary production
  10. Learning Sign Language Recognition under Label Noise: A Study of Noise-Robust Losses for Isolated and Continuous Settings
  11. Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation
  12. Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation
  13. RAIDAL: Redundancy-Aware Information Density Active Learning for CTC-Based Continuous Sign Language Recognition
  14. SignRefine: Adapting Foundational Video Models for Sign Language Generation
  15. Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation
  16. SignDino: Self-Supervised Sign Language Representation Learning via Temporal-Axis Self-Distillation
  17. A Reverse Sign Language Dictionary: Open-Vocabulary Sign Recognition from Continuous Signing via Video Captioning and Description Retrieval
  18. Comprehensive survey of sign language recognition and its future through computer vision
  19. SignSeek: Learning Transferable Representations for Sign Dictionary Retrieval
  20. Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks
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L3 Region - - 2026 Sep Q3

Computer Vision and Pattern Recognition

31 papers

Top Topics (4)

Computer Vision and Pattern Recognition16
Hand Gesture Recognition Systems10
Computation and Language4
Human-Computer Interaction1

Top Publications (20)

1.Indian Sign Language Human Activity Recognition2.Indian Sign Language Human Activity Recognition3.SIGMA IoT enabled sensor based embedded gesture recognition system using RISP algorithm for real time assistive communication for speech and hearing disabilities4.Attention-Steered Vision-Language Models for Sign Language Translation5.Zero-Shot Cross-Lingual Recognition of Sign Language Handshapes6.Machine Learning as a Tool for the Development of Sign Recognition Systems: A Review7.Deep Learning-Based Sign Language Translation: A Survey and Taxonomy8.SST-Net: Spatiotemporal Collaborative Attention for Sign Language Recognition9.Web SMILE demo: a web application providing automated feedback on sign language vocabulary production10.Learning Sign Language Recognition under Label Noise: A Study of Noise-Robust Losses for Isolated and Continuous Settings11.Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation12.Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation13.RAIDAL: Redundancy-Aware Information Density Active Learning for CTC-Based Continuous Sign Language Recognition14.SignRefine: Adapting Foundational Video Models for Sign Language Generation15.Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation16.SignDino: Self-Supervised Sign Language Representation Learning via Temporal-Axis Self-Distillation17.A Reverse Sign Language Dictionary: Open-Vocabulary Sign Recognition from Continuous Signing via Video Captioning and Description Retrieval18.Comprehensive survey of sign language recognition and its future through computer vision19.SignSeek: Learning Transferable Representations for Sign Dictionary Retrieval20.Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks
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