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20222026
most citedMonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

260 citations · 276 across the 37 of their papers we have counts for

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Showing 2026 · cs.CVShow all

6 papers · 2 filters

cs.CV2026

Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models

Jindi Lv, Aoyu Li, Yuhao Zhou +6

Mamba demonstrates strong efficiency in modeling long visual sequences. However, when token reduction is applied to structurally enhanced Mamba variants, these models exhibit a sev…

cs.CV2026

ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering

Wenhao Lu, Zhengqiu Zhu, Xiaofeng Wang +7

Aerial Embodied Question Answering (EQA) requires Unmanned Aerial Vehicles (UAVs) to actively perceive the environment and answer natural language questions. Existing outdoor EQA s…

cs.CV2026

ReplicateAnyScene: Zero-Shot Video-to-3D Composition via Textual-Visual-Spatial Alignment

Mingyu Dong, Chong Xia, Mingyuan Jia +4

Humans exhibit an innate capacity to rapidly perceive and segment objects from video observations, and even mentally assemble them into structured 3D scenes. Replicating such capab…

cs.CV2026

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video

Boyuan Wang, Xiaofeng Wang, Yongkang Li +9

Reconstructing non-rigid objects with physical plausibility remains a significant challenge. Existing approaches leverage differentiable rendering for per-scene optimization, recov…

cs.CV2026

FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation

Liuzhou Zhang, Zeyu Zhang, Biao Wu +10

Sign language plays a crucial role in bridging communication gaps between the deaf and hard-of-hearing communities. However, existing sign language video generation models often re…

cs.CV2026

UniDriveDreamer: A Single-Stage Multimodal World Model for Autonomous Driving

Guosheng Zhao, Yaozeng Wang, Xiaofeng Wang +10

World models have demonstrated significant promise for data synthesis in autonomous driving. However, existing methods predominantly concentrate on single-modality generation, typi…