577 citations · 2.2k across the 64 of their papers we have counts for
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Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering
Pan Lu, Hongsheng Li, Wei Zhang +2
Recently, the Visual Question Answering (VQA) task has gained increasing attention in artificial intelligence. Existing VQA methods mainly adopt the visual attention mechanism to a…
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li +4
Although Generative Adversarial Networks (GANs) have shown remarkable success in various tasks, they still face challenges in generating high quality images. In this paper, we prop…
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism
Qi Chu, Wanli Ouyang, Hongsheng Li +3
In this paper, we propose a CNN-based framework for online MOT. This framework utilizes the merits of single object trackers in adapting appearance models and searching for target…
Learning Feature Pyramids for Human Pose Estimation
Wei Yang, Shuang Li, Wanli Ouyang +2
Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when c…
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
Zhe Wang, Yanxin Yin, Jianping Shi +3
We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions. Our contributions are two folds: 1)…
Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision
Zhe Wang, Hongsheng Li, Wanli Ouyang +1
Scene labeling is a challenging classification problem where each input image requires a pixel-level prediction map. Recently, deep-learning-based methods have shown their effectiv…
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Feng Zhu, Hongsheng Li, Wanli Ouyang +2
Multi-label image classification is a fundamental but challenging task in computer vision. Great progress has been achieved by exploiting semantic relations between labels in recen…