activity
20232026
most citedMOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration

17 citations · 17 across the 9 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

cs.AI2026

SearchWorld: Spatial Value-Grounded Imagination for UAV Object Search via World Models

Yatai Ji, Zhengqiu Zhu, Yong Zhao +5

Autonomous unmanned aerial vehicle (UAV) object search involves a closed loop of perception, decision-making, and action under partial observability. Urban environments pose severa…

cs.CV2026

S2Tok: Streaming 3D Gaussian Reconstruction with Persistent Spatial Tokens

Fang Li, Jiraphon Yenphraphai, Quentin Herau +5

Streaming 3D reconstruction requires more than a sequence of geometric predictions: it requires a persistent scene state that can incorporate new evidence and remain renderable as…

cs.CV2026

Building Rome from a Single Image

Jiraphon Yenphraphai, Fang Li, Tianshuo Xu +5

Single-image scene generation aims to produce a complete 3D scene mesh from a single image, including surfaces the camera did not observe. While pretrained 3D object generators enc…

cs.CV2026

Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution

Tianshuo Xu, Yichen Xie, Depu Meng +5

Video world models should maintain evolving states when evidence is unobserved, yet current generators often freeze hidden states upon interruption. This is not simply a capacity p…

cs.CV2026

SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes

Quentin Herau, Tianshuo Xu, Depu Meng +5

Feed-forward 3D Gaussian Splatting methods have achieved impressive reconstruction quality for autonomous driving scenes, yet they entangle scene geometry with transient appearance…

cs.CV2026

URoPE: Universal Relative Position Embedding across Geometric Spaces

Yichen Xie, Depu Meng, Chensheng Peng +4

Relative position embedding has become a standard mechanism for encoding positional information in Transformers. However, existing formulations are typically limited to a fixed geo…

cs.CV2026

Learning to Drive is a Free Gift: Large-Scale Label-Free Autonomy Pretraining from Unposed In-The-Wild Videos

Matthew Strong, Wei-Jer Chang, Quentin Herau +4

Ego-centric driving videos available online provide an abundant source of visual data for autonomous driving, yet their lack of annotations makes it difficult to learn representati…

cs.CV2026

UniQueR: Unified Query-based Feedforward 3D Reconstruction

Chensheng Peng, Quentin Herau, Jiezhi Yang +6

We present UniQueR, a unified query-based feedforward framework for efficient and accurate 3D reconstruction from unposed images. Existing feedforward models such as DUSt3R, VGGT,…