4 citations · 10 across the 4 of their papers we have counts for
8 papers
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang, Ting Yao, Zhaofan Qiu +1
The recent advances in deep learning predominantly construct models in their internal representations, and it is opaque to explain the rationale behind and decisions to human users…
Motion-Focused Contrastive Learning of Video Representations
Rui Li, Yiheng Zhang, Zhaofan Qiu +3
Motion, as the most distinct phenomenon in a video to involve the changes over time, has been unique and critical to the development of video representation learning. In this paper…
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao, Yiheng Zhang, Zhaofan Qiu +2
A steady momentum of innovations and breakthroughs has convincingly pushed the limits of unsupervised image representation learning. Compared to static 2D images, video has one mor…
Transferring and Regularizing Prediction for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Ting Yao +3
Semantic segmentation often requires a large set of images with pixel-level annotations. In the view of extremely expensive expert labeling, recent research has shown that the mode…
Scheduled Differentiable Architecture Search for Visual Recognition
Zhaofan Qiu, Ting Yao, Yiheng Zhang +2
Convolutional Neural Networks (CNN) have been regarded as a capable class of models for visual recognition problems. Nevertheless, it is not trivial to develop generic and powerful…
Customizable Architecture Search for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Jingen Liu +3
In this paper, we propose a Customizable Architecture Search (CAS) approach to automatically generate a network architecture for semantic image segmentation. The generated network…