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cs.CV2026

StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation

Jintao Guo, Lin Wang, Shumeng Li +5

Existing cross-subject fMRI decoding methods typically train a model on multiple scanned subjects and then adapt it to a new subject using substantial paired fMRI-image data. Howev…

cs.CV2025

PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation

Zidong Cao, Jinjing Zhu, Weiming Zhang +4

Recently, Depth Anything Models (DAMs) - a type of depth foundation models - have demonstrated impressive zero-shot capabilities across diverse perspective images. Despite its succ…

cs.CV2025

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective

Jinjing Zhu, Songze Li, Lin Wang

Conventional knowledge distillation (KD) approaches are designed for the student model to predict similar output as the teacher model for each sample. Unfortunately, the relationsh…

cs.CV2024

eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking

Yucheng Chen, Lin Wang

The unique complementarity of frame-based and event cameras for high frame rate object tracking has recently inspired some research attempts to develop multi-modal fusion approache…

cs.CV2024

CLIP the Divergence: Language-guided Unsupervised Domain Adaptation

Jinjing Zhu, Yucheng Chen, Lin Wang

Unsupervised domain adaption (UDA) has emerged as a popular solution to tackle the divergence between the labeled source and unlabeled target domains. Recently, some research effor…