Cover Image

GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xinyuan, Wu, Yihang, Chaddad, Ahmad, Alkhodair, Sarah A., Kateb, Reem
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)

Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification
by: Zhao, Xinyuan, et al.
Published: (2026)

Deep Modeling and Optimization of Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)

Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)

Domain Adaptation Techniques for Natural and Medical Image Classification
by: Chaddad, Ahmad, et al.
Published: (2025)

Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
by: Chaddad, Ahmad, et al.
Published: (2025)

Impact of domain adaptation in deep learning for medical image classifications
by: Wu, Yihang, et al.
Published: (2026)

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
by: Wu, Yihang, et al.
Published: (2024)

Deep Modeling and Interpretation for Bladder Cancer Classification
by: Chaddad, Ahmad, et al.
Published: (2026)

FAA-CLIP: Federated Adversarial Adaptation of CLIP
by: Wu, Yihang, et al.
Published: (2025)

Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)

Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)

MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
by: Kong, Lingshun, et al.
Published: (2026)

LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE
by: Shang, Yu, et al.
Published: (2025)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
by: Zhang, Jihai, et al.
Published: (2024)

Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation
by: Zheng, Youwei, et al.
Published: (2025)

GazeCLIP: Enhancing Gaze Estimation Through Text-Guided Multimodal Learning
by: Wang, Jun, et al.
Published: (2023)

CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
by: Yin, Pengwei, et al.
Published: (2024)

GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
by: Soliman, Mahmoud, et al.
Published: (2025)

ARGaze: Autoregressive Transformers for Online Egocentric Gaze Estimation
by: Li, Jia, et al.
Published: (2026)

GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding
by: Kawana, Yuki, et al.
Published: (2025)

BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing
by: Ma, Yingjie, et al.
Published: (2024)

GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
by: Zhang, Yaning, et al.
Published: (2026)

eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking
by: Chen, Yucheng, et al.
Published: (2024)

Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
by: Wei, Yujie, et al.
Published: (2025)

GazeD: Context-Aware Diffusion for Accurate 3D Gaze Estimation
by: Catalini, Riccardo, et al.
Published: (2026)

MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
by: Maldonado, Gabriel, et al.
Published: (2025)

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing
by: Min, Chengxi, et al.
Published: (2025)

GazeMoE: Perception of Gaze Target with Mixture-of-Experts
by: Dai, Zhuangzhuang, et al.
Published: (2026)

More Is Better: A MoE-Based Emotion Recognition Framework with Human Preference Alignment
by: Xie, Jun, et al.
Published: (2025)

Nucleus-Image: Sparse MoE for Image Generation
by: Akiti, Chandan, et al.
Published: (2026)

IMA-MoE: An Interpretable Modality-Aware Mixture-of-Experts Framework for Characterizing the Neurobiological Signatures of Binge Eating Disorder
by: Zhao, Lin, et al.
Published: (2026)

SGAP-Gaze: Scene Grid Attention Based Point-of-Gaze Estimation Network for Driver Gaze
by: Sharma, Pavan Kumar, et al.
Published: (2026)

TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
by: Xu, Yu, et al.
Published: (2026)

Merging Multiple Datasets for Improved Appearance-Based Gaze Estimation
by: Wu, Liang, et al.
Published: (2024)

SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis
by: Hu, Yan, et al.
Published: (2025)

MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
by: Jin, In-Hwan, et al.
Published: (2025)

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs
by: Bo, Zi-Hao, et al.
Published: (2026)