Computer Vision and Image Understanding Lab, University of Arkansas

Computer Vision and Image Understanding Lab, University of Arkansas's repositories

[CVPR 2023] Micron-BERT: BERT-based Facial Micro-Expression Recognition

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[CVPR 2021] DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

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[CVPR'22] DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

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Intraformer: A Transformer based Approach to Unsupervised Long-tail Face, Facial Expression and Visual Recognition

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[ICCV'21] The Right to Talk: An Audio-Visual Transformer Approach

[NeurIPS 2023] Type-to-Track: Retrieve Any Object via Prompt-based Tracking

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[CVPR 2023] FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

Language:Python10 8 4

[ICCV'21] BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation

Language:Python7 2 2

[CVPRW 2023] SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition

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[CVPR 2024] HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding

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Insect Foundation AI Model and Dataset for Precision Agriculture

Language:Python400

Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach

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Conditional Maximum Likelihood

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