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20162025
most citedA Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

156 citations · 218 across the 26 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction

Zhenzhong Kuang, Xiaochen Yang, Yingjie Shen +2

The unprecedented capture and application of face images raise increasing concerns on anonymization to fight against privacy disclosure. Most existing methods may suffer from the p…

cs.CV2024

Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows

Shun Maeda, Chunzhi Gu, Jun Yu +3

We introduce the task of human action anomaly detection (HAAD), which aims to identify anomalous motions in an unsupervised manner given only the pre-determined normal category of…

cs.CV2024

AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts

Jun Yu, Zerui Zhang, Zhihong Wei +6

Leveraging the synergy of both audio data and visual data is essential for understanding human emotions and behaviors, especially in in-the-wild setting. Traditional methods for in…

cs.CV2024

Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling

Jun Yu, Zhihong Wei, Zhongpeng Cai +6

Facial Expression Recognition (FER) plays a crucial role in computer vision and finds extensive applications across various fields. This paper aims to present our approach for the…

cs.CV202420 cited

A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes

Ting Yu, Xiaojun Lin, Shuhui Wang +3

Three-Dimensional (3D) dense captioning is an emerging vision-language bridging task that aims to generate multiple detailed and accurate descriptions for 3D scenes. It presents si…

quant-ph2024

Neural auto-designer for enhanced quantum kernels

Cong Lei, Yuxuan Du, Peng Mi +2

Quantum kernels hold great promise for offering computational advantages over classical learners, with the effectiveness of these kernels closely tied to the design of the quantum…