Regularization techniques are crucial to improving the generalization
pe...
Recent studies on 2D pose estimation have achieved excellent performance...
This paper addresses the problem of traversing through unknown, tilted, ...
Event cameras that asynchronously output low-latency event streams provi...
Knowledge Distillation (KD) is a commonly used technique for improving t...
Event cameras are motion-activated sensors that capture pixel-level
illu...
Knowledge Distillation (KD) is a prominent neural model compression tech...
Aerial robotic systems has raised emerging interests among researchers. ...
For real applications of unmanned aerial vehicles, the capability of
nav...
Avoiding hybrid obstacles in unknown scenarios with an efficient flight
...
Traversing through a tilted narrow gap is previously an intractable task...
Avoiding hybrid obstacles in unknown scenarios with an efficient flight
...
Correlation filter (CF)-based methods have demonstrated exceptional
perf...
Object tracking has been broadly applied in unmanned aerial vehicle (UAV...
Face alignment is crucial for face recognition and has been widely adopt...
For accomplishing a variety of missions in challenging environments, the...
Correlation filter (CF) has recently exhibited promising performance in
...
Due to implicitly introduced periodic shifting of limited searching area...
Traditional framework of discriminative correlation filters (DCF) is oft...
As one of the fundamental techniques for image editing, image cropping
d...
This paper addresses the problem of Sketch-Based Image Retrieval (SBIR),...
Sketch has been employed as an effective communicative tool to express t...
This paper presents a novel nonlinear disturbance rejection control for
...
We present a perception-aware model predictive control framework for
qua...
To effectively retrieve objects from large corpus with high accuracy is ...