activity
20242026
most citedSCBench: A Sports Commentary Benchmark for Video LLMs

2 citations · 2 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

GeoPano: Towards Geometrically Accurate 3D Reconstruction from a Single Panorama

Jing OU, Zidong Cao, Liaoyuan Fan +7

Panoramic 3D reconstruction enables the holistic recovery of complete 360 scene geometry, offering significant benefits for robotics and AR/VR applications. However, direc…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

This report presents an improved version of AlayaWorld. While the backbone architecture, chunk-wise autoregressive generation scheme, and training data remain unchanged from the pr…

cs.SD2026

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation

Junhao Chen, Mingjin Chen, Jingjia Mao +12

Text-to-music language models begin with a choice usually made by default: how to tokenize music. Normally entangled with backbone, data, and recipe, its effect has never been meas…

cs.CV2026

Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh

Junhao Chen, Mingjin Chen, Henghaofan Zhang +9

Pretrained video diffusion models can act as renderers when the desired scene state is already specified by an animated mesh, a camera trajectory, and a reference image. This 4D ge…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

Unlike conventional video game development, which relies on labor-intensive pipelines for asset production, animation, physics, and programming, video world models generate interac…

cs.CV2026

AlayaWorld: Long-Horizon and Playable Video World Generation

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +14

Game worlds have traditionally been built through labor-intensive production pipelines, making them costly to develop, difficult to customization, and expensive to modify after dep…

cs.RO2026

ConsistNav: Closing the Action Consistency Gap in Zero-Shot Object Navigation with Semantic Executive Control

Haosen Wang, Zhenyang Li, Yinqiang Zhang +9

Zero-shot object navigation has advanced rapidly with open-vocabulary detectors, image--text models, and language-guided exploration. However, even after current methods detect a p…

cs.RO2026

AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps

Liaoyuan Fan, Zetian Xu, Chen Cao +3

Pretrained video generation models provide strong priors for robot control, but existing unified world action models still struggle to decode reliable actions without substantial r…

cs.CV2025

DINO-Tok: Adapting DINO for Visual Tokenizers

Mingkai Jia, Mingxiao Li, Zhijian Shu +12

Recent advances in visual generation have emphasized the importance of Latent Generative Models (LGMs), which critically depend on effective visual tokenizers to bridge pixels and…

cs.CV2025

Thinking Ahead: Foresight Intelligence in MLLMs and World Model

Zhantao Gong, Liaoyuan Fan, Qing Guo +3

In this work, we define Foresight Intelligence as the capability to anticipate and interpret future events-an ability essential for applications such as autonomous driving, yet lar…

cs.CV2025

NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving

Fuhao Li, Huan Jin, Bin Gao +3

Multi-view 3D visual grounding is critical for autonomous driving vehicles to interpret natural languages and localize target objects in complex environments. However, existing dat…

cs.CV2024★ 2 cited

SCBench: A Sports Commentary Benchmark for Video LLMs

Kuangzhi Ge, Lingjun Chen, Kevin Zhang +6

Recently, significant advances have been made in Video Large Language Models (Video LLMs) in both academia and industry. However, methods to evaluate and benchmark the performance…