79 citations · 406 across the 47 of their papers we have counts for
9 papers · 1 filter
Learning Regional Attraction for Line Segment Detection
Nan Xue, Song Bai, Fu-Dong Wang +4
This paper presents regional attraction of line segment maps, and hereby poses the problem of line segment detection (LSD) as a problem of region coloring. Given a line segment map…
Inducing Hierarchical Compositional Model by Sparsifying Generator Network
Xianglei Xing, Tianfu Wu, Song-Chun Zhu +1
This paper proposes to learn hierarchical compositional AND-OR model for interpretable image synthesis by sparsifying the generator network. The proposed method adopts the scene-ob…
Image Synthesis From Reconfigurable Layout and Style
Wei Sun, Tianfu Wu
Despite remarkable recent progress on both unconditional and conditional image synthesis, it remains a long-standing problem to learn generative models that are capable of synthesi…
Attentive Normalization
Xilai Li, Wei Sun, Tianfu Wu
In state-of-the-art deep neural networks, both feature normalization and feature attention have become ubiquitous. % with significant performance improvement shown in a vast amount…
Pose Guided Fashion Image Synthesis Using Deep Generative Model
Wei Sun, Jawadul H. Bappy, Shanglin Yang +3
Generating a photorealistic image with intended human pose is a promising yet challenging research topic for many applications such as smart photo editing, movie making, virtual tr…
Adversarial Distillation for Ordered Top-k Attacks
Zekun Zhang, Tianfu Wu
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, especially white-box targeted attacks. One scheme of learning attacks is to design a proper adversarial objective…
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu +2
Addressing catastrophic forgetting is one of the key challenges in continual learning where machine learning systems are trained with sequential or streaming tasks. Despite recent…
Event Driven Fusion
Siddharth Roheda, Hamid Krim, Zhi-Quan Luo +1
This paper presents a technique which exploits the occurrence of certain events as observed by different sensors, to detect and classify objects. This technique explores the extent…
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Wei Sun, Tianfu Wu
Image synthesis and image-to-image translation are two important generative learning tasks. Remarkable progress has been made by learning Generative Adversarial Networks (GANs)~\ci…