collaborators

6 papers

cs.CL2026

PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation

Junhao Chen, Xiang Li, Mingjin Chen +9

Code is the medium through which large language models generate structured artifacts: charts, scientific figures, vector graphics, CAD models, 3D scenes, and hardware designs are a…

cs.CV2026

PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding

Junjie Wen, Junlin He, Fei Ma +1

Accurate open-vocabulary 3D scene understanding requires semantic representations that are both language-aligned and spatially precise at the pixel level, while remaining scalable…

cs.CV2026

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition

Zeheng Wang, Zitong Yu, Yijie Zhu +9

LLM-based multimodal emotion recognition relies on static parametric memory and often hallucinates when interpreting nuanced affective states. In this paper, given that single-roun…

cs.CV2026

LottieGPT: Tokenizing Vector Animation for Autoregressive Generation

Junhao Chen, Kejun Gao, Yuehan Cui +8

Despite rapid progress in video generation, existing models are incapable of producing vector animation, a dominant and highly expressive form of multimedia on the Internet. Vector…

cs.CV2025

OnlineHOI: Towards Online Human-Object Interaction Generation and Perception

Yihong Ji, Yunze Liu, Yiyao Zhuo +4

The perception and generation of Human-Object Interaction (HOI) are crucial for fields such as robotics, AR/VR, and human behavior understanding. However, current approaches model…

cs.CV2025

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism

Congzhi Zhang, Jiawei Peng, Zhenglin Wang +5

Large Vision-Language Models (LVLMs) have shown exceptional performance in multimodal tasks, but their effectiveness in complex visual reasoning is still constrained, especially wh…