most citedMIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.HC2024

miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models

Xin Zhou, Dawei Huang, Xiaojing Peng +1

EEG-based emotion recognition holds significant potential in the field of brain-computer interfaces. A key challenge lies in extracting discriminative spatiotemporal features from…

cs.CV2024

Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer

Xinpeng Li, Teng Wang, Jian Zhao +5

Emotion recognition aims to discern the emotional state of subjects within an image, relying on subject-centric and contextual visual cues. Current approaches typically follow a tw…

cs.CV2024

LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition

Fan Zhang, Zhi-Qi Cheng, Jian Zhao +2

Semi-supervised learning has emerged as a promising approach to tackle the challenge of label scarcity in facial expression recognition (FER) task. However, current state-of-the-ar…

cs.CV2024

3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework

Fan Zhang, Shuyi Mao, Qing Li +1

3D landmark detection plays a pivotal role in various applications such as 3D registration, pose estimation, and virtual try-on. While considerable success has been achieved in 2D…

cs.CV20242 cited

MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition

Fan Zhang, Xiaobao Guo, Xiaojiang Peng +1

Cutting-edge research in facial expression recognition (FER) currently favors the utilization of convolutional neural networks (CNNs) backbone which is supervisedly pre-trained on…

cs.CL2023

A Logically Consistent Chain-of-Thought Approach for Stance Detection

Bowen Zhang, Daijun Ding, Liwen Jing +1

Zero-shot stance detection (ZSSD) aims to detect stances toward unseen targets. Incorporating background knowledge to enhance transferability between seen and unseen targets consti…