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20182023
most citedA Comprehensive Survey on Segment Anything Model for Vision and Beyond

47 citations · 71 across the 10 of their papers we have counts for

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11 papers · 1 filter

cs.CV2023★ 3 cited

Hyperbolic Face Anti-Spoofing

Shuangpeng Han, Rizhao Cai, Yawen Cui +3

Learning generalized face anti-spoofing (FAS) models against presentation attacks is essential for the security of face recognition systems. Previous FAS methods usually encourage…

cs.CV2023★ 2 cited

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape

Jiacong Xu, Yi Zhang, Jiawei Peng +17

Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife c…

cs.CV2023★ 2 cited

Visual Prompt Flexible-Modal Face Anti-Spoofing

Zitong Yu, Rizhao Cai, Yawen Cui +2

Recently, vision transformer based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, multimodal face data colle…

cs.CV2023★ 47 cited

A Comprehensive Survey on Segment Anything Model for Vision and Beyond

Chunhui Zhang, Li Liu, Yawen Cui +4

Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the ability of an AI system to perform a wide range of tasks and exhibit a level o…

cs.CV2023★ 1 cited

Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less

Rizhao Cai, Yawen Cui, Zhi Li +4

Face Anti-Spoofing (FAS) is recently studied under the continual learning setting, where the FAS models are expected to evolve after encountering the data from new domains. However…

cs.CV2023★ 5 cited

Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters

Yawen Cui, Zitong Yu, Rizhao Cai +3

The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn novel tasks with limited labeled samples and preserve previous capabilities simultaneously, while current F…