33 citations · 66 across the 10 of their papers we have counts for
6 papers · 1 filter
Boosting Weakly-Supervised Temporal Action Localization with Text Information
Guozhang Li, De Cheng, Xinpeng Ding +3
Due to the lack of temporal annotation, current Weakly-supervised Temporal Action Localization (WTAL) methods are generally stuck into over-complete or incomplete localization. In…
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification
Zhikang Wang, Yue Bi, Tong Pan +6
Multiple instance learning (MIL) is a powerful approach to classify whole slide images (WSIs) for diagnostic pathology. A fundamental challenge of MIL on WSI classification is to d…
ALBench: A Framework for Evaluating Active Learning in Object Detection
Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe +5
Active learning is an important technology for automated machine learning systems. In contrast to Neural Architecture Search (NAS) which aims at automating neural network architect…
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng, Rogerio S. Feris, Xiaoyu Wang +1
We propose a novel recurrent encoder-decoder network model for real-time video-based face alignment. Our proposed model predicts 2D facial point maps regularized by a regression lo…
Object-centric Sampling for Fine-grained Image Classification
Xiaoyu Wang, Tianbao Yang, Guobin Chen +1
This paper proposes to go beyond the state-of-the-art deep convolutional neural network (CNN) by incorporating the information from object detection, focusing on dealing with fine-…
Generic Object Detection With Dense Neural Patterns and Regionlets
Will Y. Zou, Xiaoyu Wang, Miao Sun +1
This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object detection frameworks for accurate and efficient gener…