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This work studies the generalization issue of face anti-spoofing (FAS) models on domain gaps, such as image resolution, ... We present a self-supervised approach for learning video representations using temporal video In this paper, we study a novel problem in egocentric action recognition, which we term as “Multimodal Generalization” (MMG). In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of ...
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Feature Alignment and Uniformity for Test Time Adaptation (CVPR2023)
[CVPR2023 Tutorial Talk] Recent Advances in Vision Foundation Models
[CVPR 2023] Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment
[CVPR 2023] GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
[CVPR2023 Tutorial Talk] Multimodal Agents: Chaining Multimodal Experts with LLMs
Learning by Aligning Videos in Time (CVPR 2021)
CVPR 2023 Paper: Aligning Step-by-Step Instructional Diagrams to Video Demonstrations (Zhang et al.)
[CVPR 2023] MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
[CVPR 2023] Text-Visual Prompting for Efficient 2D Temporal Video Grounding
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Last Updated: June 10, 2026
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