1 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
MemOVCD: Training-Free Open-Vocabulary Change Detection via Cross-Temporal Memory Reasoning and Global-Local Adaptive Rectification
Zuzheng Kuang, Honghao Chang, Boqiang Liang +4
Open-vocabulary change detection aims to identify semantic changes in bi-temporal remote sensing images without predefined categories. Recent methods combine foundation models such…
MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction
Yingshuang Zou, Yikang Ding, Chuanrui Zhang +6
Recent breakthroughs in radiance fields have significantly advanced 3D scene reconstruction and novel view synthesis (NVS) in autonomous driving. Nevertheless, critical limitations…
TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers
Chuanrui Zhang, Yingshuang Zou, Zhuoling Li +2
Compared with previous 3D reconstruction methods like Nerf, recent Generalizable 3D Gaussian Splatting (G-3DGS) methods demonstrate impressive efficiency even in the sparse-view se…
MDepth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation
Yingshuang Zou, Yikang Ding, Xi Qiu +2
This paper presents a novel self-supervised two-frame multi-camera metric depth estimation network, termed MDepth, which is designed to predict reliable scale-aware surroundi…
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection
Zhuoling Li, Zhan Qu, Yang Zhou +3
As an inherently ill-posed problem, depth estimation from single images is the most challenging part of monocular 3D object detection (M3OD). Many existing methods rely on preconce…
Enabling the Network to Surf the Internet
Zhuoling Li, Haohan Wang, Tymoteusz Swistek +3
Few-shot learning is challenging due to the limited data and labels. Existing algorithms usually resolve this problem by pre-training the model with a considerable amount of annota…