4 citations · 14 across the 15 of their papers we have counts for
17 papers
SportsGrounder: Proposal-Aided Interleaved Grounding for Dense Sports Video Reasoning
Yizhi Li, Jiawei Jiang, Guanhong Wang +2
Sports video analysis is crucial for athletic analytics and broadcasting enhancement. Dense sports video reasoning, however, demands a fine-grained understanding of numerous small-…
Hand3R: Online 4D Hand-Scene Reconstruction in the Wild
Wendi Hu, Haonan Zhou, Wenhao Hu +1
For Embodied AI, jointly reconstructing dynamic hands and the dense scene context is crucial for understanding physical interaction. However, most existing methods recover isolated…
RecurGS: Interactive Scene Modeling via Discrete-State Recurrent Gaussian Fusion
Wenhao Hu, Haonan Zhou, Zesheng Li +4
Recent advances in 3D scene representations have enabled high-fidelity novel view synthesis, yet adapting to discrete scene changes and constructing interactive 3D environments rem…
IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
Wenhao Hu, Zesheng Li, Haonan Zhou +5
Reconstructing complete and interactive 3D scenes remains a fundamental challenge in computer vision and robotics, particularly due to persistent object occlusions and limited sens…
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding
Weili Xu, Enxin Song, Wenhao Chai +3
The challenge of long video understanding lies in its high computational complexity and prohibitive memory cost, since the memory and computation required by transformer-based LLMs…
DSG-World: Learning a 3D Gaussian World Model from Dual State Videos
Wenhao Hu, Xuexiang Wen, Xi Li +1
Building an efficient and physically consistent world model from limited observations is a long standing challenge in vision and robotics. Many existing world modeling pipelines ar…
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
Enxin Song, Wenhao Chai, Weili Xu +3
Recent advancements in language multimodal models (LMMs) for video have demonstrated their potential for understanding video content, yet the task of comprehending multi-discipline…
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field
Wenhao Hu, Wenhao Chai, Shengyu Hao +4
Achieving a consistent and compact 3D segmentation field is crucial for maintaining semantic coherence across views and accurately representing scene structures. Previous 3D scene…
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound
Xuechen Guo, Wenhao Chai, Shi-Yan Li +1
Multimodal Large Language Model (MLLM) has recently garnered attention as a prominent research focus. By harnessing powerful LLM, it facilitates a transition of conversational gene…
Ego3DT: Tracking Every 3D Object in Ego-centric Videos
Shengyu Hao, Wenhao Chai, Zhonghan Zhao +8
The growing interest in embodied intelligence has brought ego-centric perspectives to contemporary research. One significant challenge within this realm is the accurate localizatio…
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection
Wenjie Wang, Yehao Lu, Guangcong Zheng +6
Vision-based roadside 3D object detection has attracted rising attention in autonomous driving domain, since it encompasses inherent advantages in reducing blind spots and expandin…
CityCraft: A Real Crafter for 3D City Generation
Jie Deng, Wenhao Chai, Junsheng Huang +9
City scene generation has gained significant attention in autonomous driving, smart city development, and traffic simulation. It helps enhance infrastructure planning and monitorin…
MovieChat+: Question-aware Sparse Memory for Long Video Question Answering
Enxin Song, Wenhao Chai, Tian Ye +3
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…
VersaT2I: Improving Text-to-Image Models with Versatile Reward
Jianshu Guo, Wenhao Chai, Jie Deng +6
Recent text-to-image (T2I) models have benefited from large-scale and high-quality data, demonstrating impressive performance. However, these T2I models still struggle to produce i…
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
Zhonghan Zhao, Kewei Chen, Dongxu Guo +4
Due to the dynamic and unpredictable open-world setting, navigating complex environments in Minecraft poses significant challenges for multi-agent systems. Agents must interact wit…
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning
Xuan Wang, Guanhong Wang, Wenhao Chai +2
Image captioning bridges the gap between vision and language by automatically generating natural language descriptions for images. Traditional image captioning methods often overlo…
CityGen: Infinite and Controllable City Layout Generation
Jie Deng, Wenhao Chai, Jianshu Guo +6
The recent surge in interest in city layout generation underscores its significance in urban planning and smart city development. The task involves procedurally or automatically ge…