Dalong Du

According to our database, Dalong Du authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion.

Bohan Li, Jiajun Deng, Wenyao Zhang, Zhujin Liang, Dalong Du, Xin Jin, Wenjun Zeng

CoRR, 2024

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation.

Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhe Liu, Zhuang Ma, Zhujin Liang, Jie Zhou

CoRR, 2024

Scaling Multi-Camera 3D Object Detection through Weak-to-Strong Eliciting.

Hao Lu, Jiaqi Tang, Xinli Xu, Xu Cao, Yunpeng Zhang, Guoqing Wang, Dalong Du, Hao Chen, Yingcong Chen

CoRR, 2024

GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving.

Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Shurui Zhang, Hongxu Li, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du

CoRR, 2024

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling.

Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du

CoRR, 2024

2023

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition.

Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2023

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model.

Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang

CoRR, 2023

Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection.

Junjie Huang, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du

CoRR, 2023

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing.

Hao Lu, Yunpeng Zhang, Qing Lian, Dalong Du, Yingcong Chen

CoRR, 2023

StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion.

Bohan Li, Yasheng Sun, Xin Jin, Wenjun Zeng, Zheng Zhu, Xiaofeng Wang, Yunpeng Zhang, James Okae, Hang Xiao, Dalong Du

CoRR, 2023

OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction.

Yunpeng Zhang, Zheng Zhu, Dalong Du

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception.

Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Gait Recognition in the Wild: A Benchmark.

Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou

CoRR, 2022

HFT: Lifting Perspective Representations via Hybrid Feature Transformation.

Jiayu Zou, Junrui Xiao, Zheng Zhu, Junjie Huang, Guan Huang, Dalong Du, Xingang Wang

CoRR, 2022

Dimension Embeddings for Monocular 3D Object Detection.

Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Junjie Huang, Guan Huang, Zheng Zhu, Dalong Du

CoRR, 2021

Face-NMS: A Core-set Selection Approach for Efficient Face Recognition.

Yunze Chen, Junjie Huang, Jiagang Zhu, Zheng Zhu, Tian Yang, Guan Huang, Dalong Du

CoRR, 2021

Masked Face Recognition Challenge: The WebFace260M Track Report.

Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou

CoRR, 2021

Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes.

Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou

CoRR, 2021

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition.

Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes.

Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue.

Junjie Huang, Zheng Zhu, Guan Huang, Dalong Du

CoRR, 2020

2019

High Performance Visual Object Tracking with Unified Convolutional Networks.

Zheng Zhu, Wei Zou, Guan Huang, Dalong Du, Chang Huang

CoRR, 2019

Attention-Guided Unified Network for Panoptic Segmentation.

Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

EANet: Enhancing Alignment for Cross-Domain Person Re-identification.

Houjing Huang, Wenjie Yang, Xiaotang Chen, Xin Zhao, Kaiqi Huang, Jinbin Lin, Guan Huang, Dalong Du

CoRR, 2018

Action Machine: Rethinking Action Recognition in Trimmed Videos.

Jiagang Zhu, Wei Zou, Liang Xu, Yiming Hu, Zheng Zhu, Manyu Chang, Junjie Huang, Guan Huang, Dalong Du

CoRR, 2018

2017

UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking.

Zheng Zhu, Guan Huang, Wei Zou, Dalong Du, Chang Huang

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

The Visual Object Tracking VOT2017 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

Conditional Random Fields as Recurrent Neural Networks.

Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015