38 citations · 97 across the 9 of their papers we have counts for
9 papers · 1 filter
CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting
Wei Sun, Yanzhao Zhou, Jianbin Jiao +1
Open-vocabulary 3D scene understanding is crucial for applications requiring natural language-driven spatial interpretation, such as robotics and augmented reality. While 3D Gaussi…
Depth-guided Texture Diffusion for Image Semantic Segmentation
Wei Sun, Yuan Li, Qixiang Ye +2
Depth information provides valuable insights into the 3D structure especially the outline of objects, which can be utilized to improve the semantic segmentation tasks. However, a n…
Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS
Wei Sun, Xiaosong Zhang, Fang Wan +4
Novel View Synthesis (NVS) without Structure-from-Motion (SfM) pre-processed camera poses--referred to as SfM-free methods--is crucial for promoting rapid response capabilities and…
Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussian
Wei Sun, Qi Zhang, Yanzhao Zhou +3
3D Gaussian splatting has demonstrated impressive performance in real-time novel view synthesis. However, achieving successful reconstruction from RGB images generally requires mul…
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
Feng Liu, Tengteng Huang, Qianjing Zhang +5
Multi-view 3D object detection systems often struggle with generating precise predictions due to the challenges in estimating depth from images, increasing redundant and incorrect…
Deep Reason: A Strong Baseline for Real-World Visual Reasoning
Chenfei Wu, Yanzhao Zhou, Gen Li +3
This paper presents a strong baseline for real-world visual reasoning (GQA), which achieves 60.93% in GQA 2019 challenge and won the sixth place. GQA is a large dataset with 22M qu…
Weakly Supervised Instance Segmentation using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye +2
Weakly supervised instance segmentation with image-level labels, instead of expensive pixel-level masks, remains unexplored. In this paper, we tackle this challenging problem by ex…
Soft Proposal Networks for Weakly Supervised Object Localization
Yi Zhu, Yanzhao Zhou, Qixiang Ye +2
Weakly supervised object localization remains challenging, where only image labels instead of bounding boxes are available during training. Object proposal is an effective componen…
Oriented Response Networks
Yanzhao Zhou, Qixiang Ye, Qiang Qiu +1
Deep Convolution Neural Networks (DCNNs) are capable of learning unprecedentedly effective image representations. However, their ability in handling significant local and global im…