activity
20212023
most citedMTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

240 citations · 278 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 3 cited

GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer

Zheng Qin, Hao Yu, Changjian Wang +5

We study the problem of extracting accurate correspondences for point cloud registration. Recent keypoint-free methods have shown great potential through bypassing the detection of…

cs.CV2022★ 1 cited

Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints

Zi Wang, Minglin Chen, Yulan Guo +2

Recently, unsupervised domain adaptation in satellite pose estimation has gained increasing attention, aiming at alleviating the annotation cost for training deep models. To this e…

cs.CV2022★ 240 cited

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

Tianhao Wu, Boyang Li, Yihang Luo +6

Space-based infrared tiny ship detection aims at separating tiny ships from the images captured by earth orbiting satellites. Due to the extremely large image coverage area (e.g.,…

cs.CV2022★ 2 cited

Real-World Light Field Image Super-Resolution via Degradation Modulation

Yingqian Wang, Zhengyu Liang, Longguang Wang +3

Recent years have witnessed the great advances of deep neural networks (DNNs) in light field (LF) image super-resolution (SR). However, existing DNN-based LF image SR methods are d…

cs.CV2022★ 10 cited

Deep Learning for Visual Speech Analysis: A Survey

Changchong Sheng, Gangyao Kuang, Liang Bai +5

Visual speech, referring to the visual domain of speech, has attracted increasing attention due to its wide applications, such as public security, medical treatment, military defen…

cs.CV2021★ 22 cited

Dense Nested Attention Network for Infrared Small Target Detection

Boyang Li, Chao Xiao, Longguang Wang +5

Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded p…