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20222026
most citedContinual Learning in the Frequency Domain

5 citations · 9 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

DA-Nav: Direction-Aware City-Scale Vision-Language Navigation

Ye Yuan, Kehan Chen, Xinqiang Yu +7

City-scale outdoor navigation is currently hindered by the heavy reliance on dense maps or costly navigation supervision. In this work, we introduce a novel paradigm for leveraging…

eess.IV2026

DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning

Yelin Wang, Zijia Song, Chuanguang Yang +4

The primary goal of Remote Sensing Image Change Captioning (RSICC) is to automatically generate descriptions of changes between remote sensing images captured at different time poi…

cs.CV2026

Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation

Mingqiang Wu, Weilun Feng, Zhefeng Zhang +8

Autoregressive video diffusion models enable open-ended generation through local attention and KV caching. However, existing training-free long-video optimization methods mainly fo…

cs.CV2026

WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching

Weilun Feng, Guoxin Fan, Haotong Qin +10

Diffusion-based world models have shown strong potential for unified world simulation, but the iterative denoising remains too costly for interactive use and long-horizon rollouts.…

cs.CV2026

Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model

Yu Wang, Chuanguang Yang, Zhulin An +6

Existing Knowledge Distillation (KD) methods often align feature information between teacher and student by exploring meaningful feature processing and loss functions. However, due…

cs.CV2026

Fast-SAM3D: 3Dfy Anything in Images but Faster

Weilun Feng, Mingqiang Wu, Zhiliang Chen +10

SAM3D enables scalable, open-world 3D reconstruction from complex scenes, yet its deployment is hindered by prohibitive inference latency. In this work, we conduct the \textbf{firs…