100 citations · 199 across the 9 of their papers we have counts for
7 papers · 1 filter
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash Patel, Yusheng Xie, Yi Zhu +2
Learning to segment images purely by relying on the image-text alignment from web data can lead to sub-optimal performance due to noise in the data. The noise comes from the sample…
Pixel-level Correspondence for Self-Supervised Learning from Video
Yash Sharma, Yi Zhu, Chris Russell +1
While self-supervised learning has enabled effective representation learning in the absence of labels, for vision, video remains a relatively untapped source of supervision. To add…
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk, Matthaeus Kleindessner, Yi Zhu +2
In this paper, we show that recent advances in self-supervised feature learning enable unsupervised object discovery and semantic segmentation with a performance that matches the s…
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li, Kai Zhang, Radu Timofte +108
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
Fengda Zhu, Yi Zhu, Xiaojun Chang +1
Vision-Language Navigation (VLN) is a task where agents learn to navigate following natural language instructions. The key to this task is to perceive both the visual scene and nat…
Weakly Supervised Instance Segmentation using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye +2
Weakly supervised instance segmentation with image-level labels, instead of expensive pixel-level masks, remains unexplored. In this paper, we tackle this challenging problem by ex…
Soft Proposal Networks for Weakly Supervised Object Localization
Yi Zhu, Yanzhao Zhou, Qixiang Ye +2
Weakly supervised object localization remains challenging, where only image labels instead of bounding boxes are available during training. Object proposal is an effective componen…