161 citations · 1k across the 45 of their papers we have counts for
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Bi-Adversarial Auto-Encoder for Zero-Shot Learning
Yunlong Yu, Zhong Ji, Yanwei Pang +3
Existing generative Zero-Shot Learning (ZSL) methods only consider the unidirectional alignment from the class semantics to the visual features while ignoring the alignment from th…
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Jiale Cao, Yanwei Pang, Xuelong Li
Joint object detection and semantic segmentation can be applied to many fields, such as self-driving cars and unmanned surface vessels. An initial and important progress towards th…
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning
Yunlong Yu, Zhong Ji, Yanwei Fu +3
Zero-Shot Learning (ZSL) is achieved via aligning the semantic relationships between the global image feature vector and the corresponding class semantic descriptions. However, usi…
Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection
Jiale Cao, Yanwei Pang, Xuelong Li
To better detect pedestrians of various scales, deep multi-scale methods usually detect pedestrians of different scales by different in-network layers. However, the semantic levels…
A Cascaded Convolutional Neural Network for Single Image Dehazing
Chongyi Li, Jichang Guo, Fatih Porikli +2
Images captured under outdoor scenes usually suffer from low contrast and limited visibility due to suspended atmospheric particles, which directly affects the quality of photos. D…
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing
Zhong Ji, Yuxin Sun, Yunlong Yu +2
Zero-Shot Hashing aims at learning a hashing model that is trained only by instances from seen categories but can generate well to those of unseen categories. Typically, it is achi…