1 citations · 3 across the 12 of their papers we have counts for
6 papers · 1 filter
Text-to-3D Generation by 2D Editing
Haoran Li, Yuli Tian, Yonghui Wang +4
Distilling 3D representations from pretrained 2D diffusion models is essential for 3D creative applications across gaming, film, and interior design. Current SDS-based methods are…
ROOT: VLM based System for Indoor Scene Understanding and Beyond
Yonghui Wang, Shi-Yong Chen, Zhenxing Zhou +4
Recently, Vision Language Models (VLMs) have experienced significant advancements, yet these models still face challenges in spatial hierarchical reasoning within indoor scenes. In…
AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding
Yonghui Wang, Wengang Zhou, Hao Feng +1
Over the past few years, the advancement of Multimodal Large Language Models (MLLMs) has captured the wide interest of researchers, leading to numerous innovations to enhance MLLMs…
LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregation
Keyi Zhou, Li Li, Wengang Zhou +3
In video lane detection, there are rich temporal contexts among successive frames, which is under-explored in existing lane detectors. In this work, we propose LaneTCA to bridge th…
SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection
Yonghui Wang, Shaokai Liu, Li Li +2
Shadow detection is a fundamental and challenging task in many computer vision applications. Intuitively, most shadows come from the occlusion of light by the object itself, result…
TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding
Bozhi Luan, Hao Feng, Hong Chen +3
The advent of Large Multimodal Models (LMMs) has sparked a surge in research aimed at harnessing their remarkable reasoning abilities. However, for understanding text-rich images,…