Publications by Qingwen Zhang
Peer reviewed
Articles
[1]
A. Khoche et al., "DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance," IEEE Robotics and Automation Letters, vol. 11, no. 3, pp. 3836-3843, 2026.
[2]
Q. Zhang et al., "HiMo: High-Speed Objects Motion Compensation in Point Clouds," IEEE Transactions on robotics, vol. 41, pp. 5896-5911, 2025.
[3]
M. Jia et al., "BeautyMap : Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps," IEEE Robotics and Automation Letters, vol. 9, no. 7, pp. 6256-6263, 2024.
[4]
D. Duberg et al., "DUFOMap : Efficient Dynamic Awareness Mapping," IEEE Robotics and Automation Letters, vol. 9, no. 6, pp. 5038-5045, 2024.
Conference papers
[5]
C. Jiang et al., "FreeScale : Scaling 3D Scenes via Certainty-Aware Free-View Generation," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), 2026, pp. 330-340.
[6]
Q. Zhang et al., "HiMo : High-Speed Objects Motion Compensation in Point Clouds (Abstract Reprint)," in FORTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-26, VOL 40 NO 47, 2026, pp. 39907-39907.
[7]
Q. Zhang et al., "SynFlow : Scaling Up LiDAR Scene Flow Estimation with Synthetic Data," in Computer Vision – ECCV 2026, 2026, pp. 151-168.
[8]
Q. Zhang et al., "TeFlow : Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026, pp. 3667-3676.
[9]
P. Li et al., "AGO : Adaptive Grounding for Open World 3D Occupancy Prediction," in 2025 IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 8645-8655.
[10]
Q. Zhang et al., "DeltaFlow : An Efficient Multi-frame Scene Flow Estimation Method," in Advances in Neural Information Processing Systems 38 (NeurIPS 2025), 2025, pp. 88951-88975.
[11]
A. Khoche et al., "SSF: Sparse Long-Range Scene Flow for Autonomous Driving," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 6394-6400.
[12]
Q. Zhang et al., "SeFlow : A Self-supervised Scene Flow Method in Autonomous Driving," in COMPUTER VISION-ECCV 2024, PT I, 2025, pp. 353-369.
[13]
Q. Zhang et al., "DeFlow : Decoder of Scene Flow Network in Autonomous Driving," in 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, pp. 2105-2111.
[14]
Y. Yang et al., "Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models," in 35th IEEE Intelligent Vehicles Symposium, IV 2024, 2024, pp. 2405-2412.
[15]
Y. Yang et al., "Human-Centric Autonomous Systems With LLMs for User Command Reasoning," in 2024 Ieee Winter Conference On Applications Of Computer Vision Workshops, Wacvw 2024, 2024, pp. 988-994.
[16]
Q. Zhang et al., "A Dynamic Points Removal Benchmark in Point Cloud Maps," in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, pp. 608-614.
[17]
Y. Yang et al., "RMP : A Random Mask Pretrain Framework for Motion Prediction," in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, pp. 3717-3723.
Non-peer reviewed
Theses
[18]
Q. Zhang, "Temporal Modeling of Dynamic 3D Scenes for Self-supervised Scene Flow," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2026:82, 2026.
Latest sync with DiVA:
2026-10-01 22:03:50 UTC