78 citations · 245 across the 24 of their papers we have counts for
13 papers · 1 filter
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
Yuhe Liu, Chuanjian Liu, Kai Han +2
Semantic segmentation is a computer vision task that associates a label with each pixel in an image. Modern approaches tend to introduce class embeddings into semantic segmentation…
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog
Shunyu Zhang, Xiaoze Jiang, Zequn Yang +2
Visual Dialog requires an agent to engage in a conversation with humans grounded in an image. Many studies on Visual Dialog focus on the understanding of the dialog history or the…
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
Xiaoze Jiang, Siyi Du, Zengchang Qin +2
Visual dialogue is a challenging task that needs to extract implicit information from both visual (image) and textual (dialogue history) contexts. Classical approaches pay more att…
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
Xiaoze Jiang, Jing Yu, Yajing Sun +4
Visual Dialogue task requires an agent to be engaged in a conversation with human about an image. The ability of generating detailed and non-repetitive responses is crucial for the…
Multi-Level Network for High-Speed Multi-Person Pose Estimation
Ying Huang, Jiankai Zhuang, Zengchang Qin
In multi-person pose estimation, the left/right joint type discrimination is always a hard problem because of the similar appearance. Traditionally, we solve this problem by stacki…
FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition
Ying Huang, Bin Sun, Haipeng Kan +2
Human pose estimation has made significant advancement in recent years. However, the existing datasets are limited in their coverage of pose variety. In this paper, we introduce a…
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Xiaoze Jiang, Jing Yu, Zengchang Qin +4
Different from Visual Question Answering task that requires to answer only one question about an image, Visual Dialogue involves multiple questions which cover a broad range of vis…
Structured Knowledge Distillation for Dense Prediction
Yifan Liu, Changyong Shun, Jingdong Wang +1
In this work, we consider transferring the structure information from large networks to compact ones for dense prediction tasks in computer vision. Previous knowledge distillation…
A sequential guiding network with attention for image captioning
Daouda Sow, Zengchang Qin, Mouhamed Niasse +1
The recent advances of deep learning in both computer vision (CV) and natural language processing (NLP) provide us a new way of understanding semantics, by which we can deal with m…
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Shuangting Liu, Jiaqi Zhang, Yuxin Chen +3
Semantic segmentation is one of the basic topics in computer vision, it aims to assign semantic labels to every pixel of an image. Unbalanced semantic label distribution could have…
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
Xinyue Zhu, Yifan Liu, Zengchang Qin +1
It is a difficult task to classify images with multiple class labels using only a small number of labeled examples, especially when the label (class) distribution is imbalanced. Em…
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
Yifan Liu, Zengchang Qin, Zhenbo Luo +1
Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Images can be generated at the pixel level by learni…
Generative Cooperative Net for Image Generation and Data Augmentation
Qiangeng Xu, Zengchang Qin, Tao Wan
How to build a good model for image generation given an abstract concept is a fundamental problem in computer vision. In this paper, we explore a generative model for the task of g…