12 papers
ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation
Yiran Wang, Zeyu Zhang, Ling Shao +1
Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retrieval-Augmented Text-to-Motion (RAG-T2M) improves generation on…
MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control
Ting Huang, Yue Huang, Zeyu Zhang +2
Grounding natural-language instructions into reliable and executable actions remains a fundamental challenge for vision-language-action (VLA) systems on mobile robots, due to the p…
VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery
Jiazi Wang, Nonghai Zhang, Qiushi Xie +5
Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connecting 3D digitization with natural-language artifact exploration. However, in cult…
UniMesh: Unifying 3D Mesh Understanding and Generation
Peng Huang, Yifeng Chen, Zeyu Zhang +1
Recent advances in 3D vision have led to specialized models for either 3D understanding (e.g., shape classification, segmentation, reconstruction) or 3D generation (e.g., synthesis…
HSG: Hyperbolic Scene Graph
Liyang Wang, Zeyu Zhang, Hao Tang
Scene graph representations enable structured visual understanding by modeling objects and their relationships, and have been widely used for multiview and 3D scene reasoning. Exis…
3D CoCa v2: Contrastive Learners with Test-Time Search for Generalizable Spatial Intelligence
Hao Tang, Ting Huang, Zeyu Zhang
Spatial intelligence refers to the ability to perceive, reason about, and describe objects and their relationships within three-dimensional environments, forming a foundation for e…
WebCryptoAgent: Agentic Crypto Trading with Web Informatics
Ali Kurban, Wei Luo, Liangyu Zuo +5
Cryptocurrency trading increasingly depends on timely integration of heterogeneous web information and market microstructure signals to support short-horizon decision making under…
VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery
Nonghai Zhang, Zeyu Zhang, Jiazi Wang +2
Vision-Language Models (VLMs) have achieved significant progress in multimodal understanding tasks, demonstrating strong capabilities particularly in general tasks such as image ca…
Nav-R1: Reasoning and Navigation in Embodied Scenes
Qingxiang Liu, Ting Huang, Zeyu Zhang +1
Embodied navigation requires agents to integrate perception, reasoning, and action for robust interaction in complex 3D environments. Existing approaches often suffer from incohere…
3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
Ting Huang, Zeyu Zhang, Hao Tang
Large vision-language models (VLMs) have made significant strides in 2D visual understanding tasks, sparking interest in extending these capabilities to 3D scene understanding. How…
DC-Scene: Data-Centric Learning for 3D Scene Understanding
Ting Huang, Zeyu Zhang, Ruicheng Zhang +1
3D scene understanding plays a fundamental role in vision applications such as robotics, autonomous driving, and augmented reality. However, advancing learning-based 3D scene under…
3D CoCa: Contrastive Learners are 3D Captioners
Ting Huang, Zeyu Zhang, Yemin Wang +1
3D captioning, which aims to describe the content of 3D scenes in natural language, remains highly challenging due to the inherent sparsity of point clouds and weak cross-modal ali…