Zheng Dang

38 papers A* 7A 2Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation.
CoRR
Xinhang Liu, Jiawei Shi, Zheng Dang, Yuchao Dai
2026 J jnl
Pose without Guesses: Generalizable Object Pose Estimation From a Single Reference.
Int. J. Comput. Vis.
Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
2025 J jnl
Adaptive Multi-step Refinement Network for Robust Point Cloud Registration.
Trans. Mach. Learn. Res.
Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann
2025 J jnl
An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning.
IEEE Access
Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang
2024 A conf
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory.
EuroSys
Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu
2024 A* conf
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses.
CVPR
Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
2024 J jnl
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses.
CoRR
Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
2024 — conf
Efficient Large Graph Processing with Chunk-Based Graph Representation Model.
USENIX ATC
Rui Wang, Weixu Zong, Shuibing He, Xinyu Chen, Zhenxin Li, Zheng Dang
2024 J jnl
Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
2024 J jnl
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction.
CoRR
Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann
2024 J jnl
PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation.
ACM Trans. Comput. Syst.
Zheng Dang, Shuibing He, Xuechen Zhang, Peiyi Hong, Zhenxin Li, Xinyu Chen, Haozhe Song, Xian-He Sun, Gang Chen
2023 — conf
A Digital Twin Framework for Logical Range.
NaNA
Zheng Dang, Hao Chen, Xinhong Hei, Yilong Liu
2023 A* conf
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration.
ICCV
Zheng Dang, Mathieu Salzmann
2023 J jnl
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration.
CoRR
Zheng Dang, Mathieu Salzmann
2023 A* conf
Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation.
ICCV
Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang
2023 J jnl
DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration.
CoRR
Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann
2023 A conf
Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation.
IROS
Junning Qiu, Fei Wang, Zheng Dang
2023 A* conf
Robust Outlier Rejection for 3D Registration with Variational Bayes.
CVPR
Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
2023 J jnl
Robust Outlier Rejection for 3D Registration with Variational Bayes.
CoRR
Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
2023 A* conf
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation.
NeurIPS
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
2023 J jnl
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation.
CoRR
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
2022 — conf
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
ECCV (1)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
2022 J jnl
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
CoRR
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
2022 A* conf
NVAlloc: rethinking heap metadata management in persistent memory allocators.
ASPLOS
Zheng Dang, Shuibing He, Peiyi Hong, Zhenxin Li, Xuechen Zhang, Xian-He Sun, Gang Chen
2022 J jnl
Robust Differentiable SVD.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2021 J jnl
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2021 J jnl
Robust Differentiable SVD.
CoRR
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2021 J jnl
What Stops Learning-based 3D Registration from Working in the Real World?
CoRR
Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann
2020 J jnl
3D Registration for Self-Occluded Objects in Context.
CoRR
Zheng Dang, Fei Wang, Mathieu Salzmann
2020 J jnl
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task.
CoRR
Minglei Lu, Yu Guo, Fei Wang, Zheng Dang
2020 J jnl
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
CoRR
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2020 J jnl
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration.
CoRR
Zheng Dang, Fei Wang, Mathieu Salzmann
2019 A* conf
Backpropagation-Friendly Eigendecomposition.
NeurIPS
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2019 J jnl
Backpropagation-Friendly Eigendecomposition.
CoRR
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2018 — conf
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.
ECCV (5)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018 J jnl
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses.
CoRR
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2011 — conf
Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction.
ISNN (2)
Zheng Dang, Songyun Xie, Ge Wang, Fahad Raza
2011 — conf
Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm.
ISNN (2)
Feng Ji, Xinbo Gao, Zheng Dang, Songyun Xie