2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Rethinking Point Clouds as Sequences: A Causal Next-Token Predictive Learning Framework
Yumeng Yao, Jingzhi Dong, Haowen Gu +4
With the rapid progress of multimodal foundation models and predictive pre-training, an important open question is how to equip 3D point clouds with a pre-training paradigm that is…
MIRL: Mutual Information-Guided Reinforcement Learning for Vision-Language Models
Yin Zhang, Jiaxuan Zhao, Zonghan Wu +5
Vision-Language Models (VLMs) frequently suffer from visual perception errors and hallucinations that compromise answer accuracy in complex reasoning tasks. Reinforcement Learning…
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task
Jiaqi Deng, Zonghan Wu, Huan Huo +1
Knowledge-based Vision Question Answering (KB-VQA) extends general Vision Question Answering (VQA) by not only requiring the understanding of visual and textual inputs but also ext…
Enabling Collaborative Parametric Knowledge Calibration for Retrieval-Augmented Vision Question Answering
Jiaqi Deng, Kaize Shi, Zonghan Wu +3
Knowledge-based Vision Question Answering (KB-VQA) systems address complex visual-grounded questions with knowledge retrieved from external knowledge bases. The tasks of knowledge…