1 citations · 1 across the 5 of their papers we have counts for
7 papers
ColonAdapter: Geometry Estimation Through Foundation Model Adaptation for Colonoscopy
Zhiyi Jiang, Yifu Wang, Xuelian Cheng +1
Estimating 3D geometry from monocular colonoscopy images is challenging due to non-Lambertian surfaces, moving light sources, and large textureless regions. While recent 3D geometr…
RoomPlanner: Explicit Layout Planner for Easier LLM-Driven 3D Room Generation
Wenzhuo Sun, Mingjian Liang, Wenxuan Song +2
In this paper, we propose RoomPlanner, the first fully automatic 3D room generation framework for painlessly creating realistic indoor scenes with only short text as input. Without…
Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning
Shijian Wang, Jiarui Jin, Xingjian Wang +6
Recent advances in image reasoning methods, particularly "Thinking with Images", have demonstrated remarkable success in Multimodal Large Language Models (MLLMs); however, this dyn…
RationalVLA: A Rational Vision-Language-Action Model with Dual System
Wenxuan Song, Jiayi Chen, Wenxue Li +12
A fundamental requirement for real-world robotic deployment is the ability to understand and respond to natural language instructions. Existing language-conditioned manipulation ta…
APTOS-2024 challenge report: Generation of synthetic 3D OCT images from fundus photographs
Bowen Liu, Weiyi Zhang, Peranut Chotcomwongse +23
Optical Coherence Tomography (OCT) provides high-resolution, 3D, and non-invasive visualization of retinal layers in vivo, serving as a critical tool for lesion localization and di…
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
Feilong Tang, Chengzhi Liu, Zhongxing Xu +9
Recent advancements in multimodal large language models (MLLMs) have significantly improved performance in visual question answering. However, they often suffer from hallucinations…