activity
20232026
collaborators

8 papers

cs.AI2026

Dual Exam: Controlled Evaluation of Multimodal Agents and World Models

Zhefan Rao, Meng Chu, Xuan Zhang +80

World Models (WMs) can support Multimodal Agents (MAs) through simulated experience, while Agent trajectories can inform World Model refinement. Evaluating this interaction require…

cs.AI2026

ACM: Agentic Context Management for Long Horizon Tasks

Xiaochuan Li, Ryan Ming, Meng Chu +3

Agentic tasks are inherently long-horizon and multi-turn, constantly accumulating context through interactions with the environment. Existing context compression methods inevitably…

cs.CV2026

UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating

Jiehui Huang, Yuechen Zhang, Bin Xia +7

Generating a coherent multi-shot video requires structured cross-shot memory. Subject appearance, scene context, and speaker identity must persist across cuts. Existing approaches…

cs.CV2026

DanceOPD: On-Policy Generative Field Distillation

Wei Zhou, Xiongwei Zhu, Zelin Xu +8

Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are…

cs.CV2026

Beyond Text Prompts: Visual-to-Visual Generation as A Unified Paradigm

Yaofang Liu, Kangning Cui, Meng Chu +7

Humans often specify and create through visual artifacts: typography sheets, sketches, reference images, and annotated scenes. Yet modern visual generators still ask users to seria…

cs.IR2025

Understanding Long Videos via LLM-Powered Entity Relation Graphs

Meng Chu, Yicong Li, Tat-Seng Chua

The analysis of extended video content poses unique challenges in artificial intelligence, particularly when dealing with the complexity of tracking and understanding visual elemen…

cs.RO2024

3D-TAFS: A Training-free Framework for 3D Affordance Segmentation

Meng Chu, Xuan Zhang, Zhedong Zheng +1

Translating high-level linguistic instructions into precise robotic actions in the physical world remains challenging, particularly when considering the feasibility of interacting…

cs.CV2023

Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

Meng Chu, Zhedong Zheng, Wei Ji +2

Navigating drones through natural language commands remains challenging due to the dearth of accessible multi-modal datasets and the stringent precision requirements for aligning v…