activity
20242026
most citedMST-Distill: Mixture of Specialized Teachers for Cross-Modal Knowledge Distillation

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

AdaAnchor4D: Anchor-Conditioned Spatiotemporal Feature Aggregation for Monocular UAV 4D Reconstruction

Peiyi Xu, Junpeng Zhang, Guanbin Li +6

Monocular UAV videos provide valuable observations for dynamic reconstruction of complex urban scenes. However, such scenes exhibit pronounced spatiotemporal heterogeneity: differe…

cs.CV2026

Rethinking Exposure Correction for Spatially Non-uniform Degradation

Ao Li, Jiawei Sun, Le Dong +2

Real-world exposure correction is fundamentally challenged by spatially non-uniform degradations, where diverse exposure errors frequently coexist within a single image. However, e…

cs.CV2026

Dual Distillation for Few-Shot Anomaly Detection

Le Dong, Qinzhong Tan, Chunlei Li +5

Anomaly detection is a critical task in computer vision with profound implications for medical imaging, where identifying pathologies early can directly impact patient outcomes. Wh…

cs.CV2025

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Le Dong, Jinghao Bian, Jingyang Hou +5

Medical image analysis faces significant challenges in data sharing due to privacy regulations and complex institutional protocols. Dataset distillation offers a solution to addres…

cs.CV2025★ 1 cited

MST-Distill: Mixture of Specialized Teachers for Cross-Modal Knowledge Distillation

Hui Li, Pengfei Yang, Juanyang Chen +3

Knowledge distillation as an efficient knowledge transfer technique, has achieved remarkable success in unimodal scenarios. However, in cross-modal settings, conventional distillat…

cs.CV2024

ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval

Le Dong, Qixuan Cao, Lei Pu +4

ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval

cs.CV2024

Back2Color: Domain-Adaptive Synthetic-to-Real Monocular Depth Estimation for Dynamic Traffic Scenes

Yufan Zhu, Chongzhi Ran, Mingtao Feng +3

Accurate monocular depth estimation is a fundamental component of vision-based perception systems in intelligent transportation applications. Despite recent progress, unsupervised…