1.5k citations · 3.2k across the 75 of their papers we have counts for
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CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
Junsong Fan, Zhaoxiang Zhang, Tieniu Tan +2
Weakly supervised semantic segmentation with only image-level labels saves large human effort to annotate pixel-level labels. Cutting-edge approaches rely on various innovative con…
Session-based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu +3
The problem of session-based recommendation aims to predict user actions based on anonymous sessions. Previous methods model a session as a sequence and estimate user representatio…
Accelerating Deep Neural Networks with Spatial Bottleneck Modules
Junran Peng, Lingxi Xie, Zhaoxiang Zhang +2
This paper presents an efficient module named spatial bottleneck for accelerating the convolutional layers in deep neural networks. The core idea is to decompose convolution into t…
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
Ya Jing, Chenyang Si, Junbo Wang +3
Text-based person search aims to retrieve the corresponding person images in an image database by virtue of a describing sentence about the person, which poses great potential for…
Variational Capsules for Image Analysis and Synthesis
Huaibo Huang, Lingxiao Song, Ran He +2
A capsule is a group of neurons whose activity vector models different properties of the same entity. This paper extends the capsule to a generative version, named variational caps…
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Huaibo Huang, Zhihang Li, Ran He +2
We present a novel introspective variational autoencoder (IntroVAE) model for synthesizing high-resolution photographic images. IntroVAE is capable of self-evaluating the quality o…