collaborators

5 papers

cs.CV2026

Does Synthetic Layered Design Data Benefit Layered Design Decomposition?

Kam Man Wu, Haolin Yang, Qingyu Chen +3

Recent advances in image generation have made it easy to produce high-quality images. However, these outputs are inherently flattened, entangling foreground elements, background, a…

cs.CV2026

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models

Tingshu Mou, Jiabo He, Renying Wang +5

Recent advances in Multi-modal Large Language Models (MLLMs) target 3D spatial intelligence, yet the progress has been largely driven by post-training on curated benchmarks, leavin…

cs.CV2026

Visual Reasoning through Tool-supervised Reinforcement Learning

Qihua Dong, Gozde Sahin, Pei Wang +4

In this paper, we investigate the problem of how to effectively master tool-use to solve complex visual reasoning tasks for Multimodal Large Language Models. To achieve that, we pr…

cs.CV2026

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation

Donghao Zhou, Guisheng Liu, Hao Yang +9

In this work, we study Human-Object Interaction Video Generation (HOIVG), which aims to synthesize high-quality human-object interaction videos conditioned on text, reference image…

cs.CV2025

THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models

Prannay Kaul, Zhizhong Li, Hao Yang +4

Mitigating hallucinations in large vision-language models (LVLMs) remains an open problem. Recent benchmarks do not address hallucinations in open-ended free-form responses, which…