2 citations · 4 across the 10 of their papers we have counts for
6 papers · 1 filter
GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs
Xingrui Wang, Cuiling Lan, Hanxin Zhu +2
Modeling and understanding the 3D world is crucial for various applications, from augmented reality to robotic navigation. Recent advancements based on 3D Gaussian Splatting have i…
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
Xingrui Wang, Xin Li, Yaosi Hu +4
Text-driven Image to Video Generation (TI2V) aims to generate controllable video given the first frame and corresponding textual description. The primary challenges of this task li…
Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis
Tianci Bi, Xiaoyi Zhang, Zhizheng Zhang +4
Significant progress has been made in scene text detection models since the rise of deep learning, but scene text layout analysis, which aims to group detected text instances as pa…
Slot-VLM: SlowFast Slots for Video-Language Modeling
Jiaqi Xu, Cuiling Lan, Wenxuan Xie +2
Video-Language Models (VLMs), powered by the advancements in Large Language Models (LLMs), are charting new frontiers in video understanding. A pivotal challenge is the development…
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu +1
Disentangled representation learning strives to extract the intrinsic factors within observed data. Factorizing these representations in an unsupervised manner is notably challengi…
Long Video Understanding with Learnable Retrieval in Video-Language Models
Jiaqi Xu, Cuiling Lan, Wenxuan Xie +2
The remarkable natural language understanding, reasoning, and generation capabilities of large language models (LLMs) have made them attractive for application to video understandi…