39 citations · 47 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Yiheng Zhang, Ting Yao, Zhaofan Qiu +1
Multi-scale learning frameworks have been regarded as a capable class of models to boost semantic segmentation. The problem nevertheless is not trivial especially for the real-worl…
cs.CV2016★ 7 cited
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Zhaofan Qiu, Ting Yao, Tao Mei
Deep convolutional neural networks (CNNs) have proven highly effective for visual recognition, where learning a universal representation from activations of convolutional layer pla…
cs.CV2016★ 39 cited
Boosting Image Captioning with Attributes
Ting Yao, Yingwei Pan, Yehao Li +2
Automatically describing an image with a natural language has been an emerging challenge in both fields of computer vision and natural language processing. In this paper, we presen…