3 code implementations • 9 Mar 2024 • Xiao Wang, Ju Huang, Shiao Wang, Chuanming Tang, Bo Jiang, Yonghong Tian, Jin Tang, Bin Luo
Current event-/frame-event based trackers undergo evaluation on short-term tracking datasets, however, the tracking of real-world scenarios involves long-term tracking, and the performance of existing tracking algorithms in these scenarios remains unclear.
no code implementations • 30 Oct 2023 • Chuanming Tang, Kai Wang, Joost Van de Weijer, Jianlin Zhang, YongMei Huang
Moreover, the effectiveness of discriminative trackers remains constrained due to the adoption of the dual-branch pipeline.
1 code implementation • 30 Oct 2023 • Chuanming Tang, Kai Wang, Joost Van de Weijer
Current image editing techniques are relying on DDIM inversion as a common practice based on the Latent Diffusion Models (LDM).
4 code implementations • 26 Sep 2023 • Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang
Tracking using bio-inspired event cameras has drawn more and more attention in recent years.
2 code implementations • 20 Nov 2022 • Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang, YaoWei Wang, Yonghong Tian
In this paper, we propose a single-stage backbone network for Color-Event Unified Tracking (CEUTrack), which achieves the above functions simultaneously.
Ranked #3 on Object Tracking on COESOT
1 code implementation • 18 Aug 2022 • Chuanming Tang, Xiao Wang, Yuanchao Bai, Zhe Wu, Jianlin Zhang, YongMei Huang
To handle these issues, in this paper, we propose a unified Spatial-Frequency Transformer that models the Gaussian spatial Prior and High-frequency emphasis Attention (GPHA) simultaneously.
no code implementations • 22 Jul 2021 • Siyuan Yi, Xing Chen, Chuanming Tang
Based on the Transformer, we proposed a time series Transformer (Tsformer) with Encoder-Decoder architecture for tourism demand forecasting.