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20202026
most citedSemantic Correspondence: Unified Benchmarking and a Strong Baseline

2 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing

Xu Guo, Zhengxuan Wei, Xinghui Li +11

Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet typically expose them as separate operations over fixed inputs.…

cs.CV2026

Geometry-Aware Implicit Memory for Video World Models

Zhengxuan Wei, Xu Guo, Xinghui Li +8

Video world models aim to simulate controllable visual environments, but long-horizon rollouts depend on what the model remembers after observations leave its native context window…

cs.CV2025

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset

Zirui Wang, Wenjing Bian, Xinghui Li +4

We introduce Oxford Day-and-Night, a large-scale, egocentric dataset for novel view synthesis (NVS) and visual relocalisation under challenging lighting conditions. Existing datase…

cs.CV20252 cited

Semantic Correspondence: Unified Benchmarking and a Strong Baseline

Kaiyan Zhang, Xinghui Li, Jingyi Lu +1

Establishing semantic correspondence is a challenging task in computer vision, aiming to match keypoints with the same semantic information across different images. Benefiting from…

cs.CV2024

UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images

Zeyu Chen, Jingyi Tang, Gu Wang +4

Due to the unique characteristics of underwater environments, accurate 3D reconstruction of underwater objects poses a challenging problem in tasks such as underwater exploration a…

cs.CV2024

RegionDrag: Fast Region-Based Image Editing with Diffusion Models

Jingyi Lu, Xinghui Li, Kai Han

Point-drag-based image editing methods, like DragDiffusion, have attracted significant attention. However, point-drag-based approaches suffer from computational overhead and misint…