4 citations · 10 across the 6 of their papers we have counts for
5 papers · 1 filter
Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding
Xiaonan Lu, Jianlong Yuan, Ruigang Niu +2
Recently, the development of pre-trained vision language foundation models (VLFMs) has led to remarkable performance in many tasks. However, these models tend to have strong single…
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Chaohui Yu, Qiang Zhou, Zhibin Wang +1
Modern supervised semantic segmentation methods are usually finetuned based on the supervised or self-supervised models pre-trained on ImageNet. Recent work shows that transferring…
RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension
Qiang Zhou, Chaohui Yu, Shaofeng Zhang +3
In this work, we investigate extending the comprehension of Multi-modal Large Language Models (MLLMs) to regional objects. To this end, we propose to extract features corresponding…
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Jingliang Li, Qiang Zhou, Chaohui Yu +4
Since the advent of Neural Radiance Fields, novel view synthesis has received tremendous attention. The existing approach for the generalization of radiance field reconstruction pr…
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li +3
Text-to-3D generation has recently garnered significant attention, fueled by 2D diffusion models trained on billions of image-text pairs. Existing methods primarily rely on score d…