25 citations · 82 across the 17 of their papers we have counts for
26 papers · 1 filter
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding, Changchang Sun, Hao Tang +2
Recently, due to the increasing requirements of medical imaging applications and the professional requirements of annotating medical images, few-shot learning has gained increasing…
Deep Unsupervised Key Frame Extraction for Efficient Video Classification
Hao Tang, Lei Ding, Songsong Wu +3
Video processing and analysis have become an urgent task since a huge amount of videos (e.g., Youtube, Hulu) are uploaded online every day. The extraction of representative key fra…
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis
Hao Tang, Ling Shao, Philip H. S. Torr +1
We present a novel bipartite graph reasoning Generative Adversarial Network (BiGraphGAN) for two challenging tasks: person pose and facial image synthesis. The proposed graph gener…
Cross-View Panorama Image Synthesis
Songsong Wu, Hao Tang, Xiao-Yuan Jing +4
In this paper, we tackle the problem of synthesizing a ground-view panorama image conditioned on a top-view aerial image, which is a challenging problem due to the large gap betwee…
Local and Global GANs with Semantic-Aware Upsampling for Image Generation
Hao Tang, Ling Shao, Philip H. S. Torr +1
In this paper, we address the task of semantic-guided image generation. One challenge common to most existing image-level generation methods is the difficulty in generating small o…
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Guanglei Yang, Enrico Fini, Dan Xu +5
Over the past years, semantic segmentation, as many other tasks in computer vision, benefited from the progress in deep neural networks, resulting in significantly improved perform…