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TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking
Transformers in 3D point clouds
Talk by B. Mersch: Self-supervised Point Cloud Prediction Using 3D Spatio-temporal CNNs
[ECCV 2022] Efficient Video Transformers with Spatial-Temporal Token Selection
ST-Tran: Spatial-temporal transformer for crime recognition in surveillance videos
Point Transformer in 3 minutes!
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
Swin3D Explained in 3 Minutes | Pretrained Transformers for 3D Vision & Point Clouds
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
ST PCT Spatial–Temporal Point Cloud Transformer for Sensing Activity Based on mmWave
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Last Updated: October 2, 2026
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Summary
Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ... In this work, we propose a novel end-to-end approach to learn different non-rigid transformations of the input Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). More details at the project page: ... Authors: Chu, Peng*; Wang, Jiang; You, Quanzeng; Ling, Haibin; Liu, Zicheng Description: Tracking multiple objects in videos ... B. Mersch, X. Chen, J. Behley, and C. Stachniss, “Self-supervised code: github.com/llmpass/RSTT Zhicheng Geng^, Luming Liang^*, Tianyu Ding and Ilya Zharkov. IEEE Conference on ... Accepted to RA-L & ICRA 2022. Code and models can be accessed at github.com/OPEN-AIR-SUN/PQ-
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