Calibration-Free Raw Image Denoising via Fine-Grained Noise Estimation [0.03%]
通过细粒度噪声估计进行无需校准的原始图像去噪
Yunhao Zou,Ying Fu,Yulun Zhang et al.
Yunhao Zou et al.
Image denoising has progressed significantly due to the development of effective deep denoisers. To improve the performance in real-world scenarios, recent trends prefer to formulate superior noise models to generate realistic training data...
Tong Guo,Yi Mei,Mengjie Zhang et al.
Tong Guo et al.
The Vehicle Routing Problem (VRP) is a classic optimization problem with diverse real-world applications. The neighborhood search has emerged as an effective approach, yielding high-quality solutions across different VRPs. However, most exi...
Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series [0.03%]
解决信息不对称问题：混合时间序列的深度时序因果关系发现
Jiawei Chen,Chunhui Zhao
Jiawei Chen
While existing causal discovery methods mostly focus on continuous time series, causal discovery for mixed time series encompassing both continuous variables (CVs) and discrete variables (DVs) is a fundamental yet underexplored problem. Tog...
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator [0.03%]
GDRNPP：一种几何指导的和完全基于学习的目标姿态估计器
Xingyu Liu,Ruida Zhang,Chenyangguang Zhang et al.
Xingyu Liu et al.
6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Recently, the emergence of deep learning reveals the potential of Convolutional Neural Networks (CNNs) to predict reliable 6D poses. Given that ...
Hao Chen,Zihan Wang,Ran Tao et al.
Hao Chen et al.
Foundation models are usually pre-trained on large-scale datasets and then adapted to different downstream tasks through tuning. This pre-training and then fine-tuning paradigm has become a standard practice in deep learning. However, the l...
M2 Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes [0.03%]
M2 Diffuser：基于扩散的三维场景中移动操作的轨迹优化
Sixu Yan,Zeyu Zhang,Muzhi Han et al.
Sixu Yan et al.
Recent advances in diffusion models have opened new avenues for research into embodied AI agents and robotics. Despite significant achievements in complex robotic locomotion and skills, mobile manipulation-a capability that requires the coo...
Graph Prompt Clustering [0.03%]
图形提示聚类
Man-Sheng Chen,Pei-Yuan Lai,De-Zhang Liao et al.
Man-Sheng Chen et al.
Due to the wide existence of unlabeled graph-structured data (e.g. molecular structures), the graph-level clustering has recently attracted increasing attention, whose goal is to divide the input graphs into several disjoint groups. However...
HOZ++: Versatile Hierarchical Object-to-Zone Graph for Object Navigation [0.03%]
HOZ++：适用于对象导航的多功能分层对象到区域图
Sixian Zhang,Xinhang Song,Xinyao Yu et al.
Sixian Zhang et al.
The goal of object navigation task is to reach the expected objects using visual information in unseen environments. Previous works typically implement deep models as agents that are trained to predict actions based on visual observations. ...
Kun Yan,Fangyun Wei,Shuyu Dai et al.
Kun Yan et al.
Prior research in video object segmentation (VOS) predominantly relies on videos with dense annotations. However, obtaining pixel-level annotations is both costly and time-intensive. In this work, we highlight the potential of effectively t...
Yimin Fu,Zhunga Liu,Jialin Lyu
Yimin Fu
Open set recognition (OSR) effectively enhances the reliability of pattern recognition systems by accurately identifying samples of unknown classes. However, the decision-making process in most existing OSR methods adheres to an ill-conside...