In this paper, we present Uformer, an effective and efficient Transformer-based architecture
for image restoration, in which we build a hierarchical encoder-decoder network using the …

In recent years, many tracking algorithms achieve impressive performance via fusing multiple
types of features, however, most of them fail to fully explore the context among the adopted …

The explosive increase and ubiquitous accessibility of visual data on the Web have led to
the prosperity of research activity in image search or retrieval. With the ignorance of visual …

Recent advances on 3D object detection heavily rely on how the 3D data are represented, ie,
voxel-based or point-based representation. Many existing high performance 3D detectors …

The recently proposed BERT has shown great power on a variety of natural language
understanding tasks, such as text classification, reading comprehension, etc. However, how to …

In video object tracking, there exist rich temporal contexts among successive frames, which
have been largely overlooked in existing trackers. In this work, we bridge the individual video …

A novel region-based active contour model (ACM) is proposed in this paper. It is
implemented with a special processing named Selective Binary and Gaussian Filtering …

The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking
activity organized by the VOT initiative. Results of over eighty trackers are presented; many are …

In this paper, we present a neat yet effective transformer-based framework for visual
grounding, namely TransVG, to address the task of grounding a language query to the …

Millions of hearing impaired people around the world routinely use some variants of sign
languages to communicate, thus the automatic translation of a sign language is meaningful and …