works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
collaborators

6 papers

cs.CV2026

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models

He Liang, Chenyang Ma, Yiming Zhang +4

The paper introduces CAIRN, a topology‑aware large multimodal model that uses graph neural networks and hierarchical attention to understand and reason about multi‑room 3D scenes.

cs.LG2026

RiTTA: Modeling Event Relations in Text-to-Audio Generation

Yuhang He, Yash Jain, Xubo Liu +2

Despite significant advancements in Text-to-Audio (TTA) generation models achieving high-fidelity audio with fine-grained context understanding, they struggle to model the relation…

cs.CV2026

OS-Marathon: Benchmarking Computer-Use Agents on Long-Horizon Repetitive Tasks

Jing Wu, Daphne Barretto, Yiye Chen +4

Long-horizon, repetitive workflows are common in professional settings, such as processing expense reports from receipts and entering student grades from exam papers. These tasks a…

cs.CV2025

MoReGen: Multi-Agent Motion-Reasoning Engine for Code-based Text-to-Video Synthesis

Xiangyu Bai, He Liang, Bishoy Galoaa +4

While text-to-video (T2V) generation has achieved remarkable progress in photorealism, generating intent-aligned videos that faithfully obey physics principles remains a core chall…

cs.SD2024

SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Camera

Yuhang He, Sangyun Shin, Anoop Cherian +2

Accurately localizing 3D sound sources and estimating their semantic labels -- where the sources may not be visible, but are assumed to lie on the physical surface of objects in th…

cs.SD2024

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field

Yuhang He, Shitong Xu, Jia-Xing Zhong +3

We present SPEAR, a continuous receiver-to-receiver acoustic neural warping field for spatial acoustic effects prediction in an acoustic 3D space with a single stationary audio sou…