Search Results for author:
Found 7 papers, 5 papers with code
Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline
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.
Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking
Moreover, the effectiveness of discriminative trackers remains constrained due to the adoption of the dual-branch pipeline.
IterInv: Iterative Inversion for Pixel-Level T2I Models
Current image editing techniques are relying on DDIM inversion as a common practice based on the Latent Diffusion Models (LDM).
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
Tracking using bio-inspired event cameras has drawn more and more attention in recent years.
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
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
Learning Spatial-Frequency Transformer for Visual Object Tracking
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.
Tsformer: Time series Transformer for tourism demand forecasting
Based on the Transformer, we proposed a time series Transformer (Tsformer) with Encoder-Decoder architecture for tourism demand forecasting.
