26 citations · 36 across the 6 of their papers we have counts for
5 papers · 1 filter
Towards Scalable Neural Representation for Diverse Videos
Bo He, Xitong Yang, Hanyu Wang +6
Implicit neural representations (INR) have gained increasing attention in representing 3D scenes and images, and have been recently applied to encode videos (e.g., NeRV, E-NeRV). W…
Learning Semantic Correspondence with Sparse Annotations
Shuaiyi Huang, Luyu Yang, Bo He +3
Finding dense semantic correspondence is a fundamental problem in computer vision, which remains challenging in complex scenes due to background clutter, extreme intra-class variat…
Confidence-aware Adversarial Learning for Self-supervised Semantic Matching
Shuaiyi Huang, Qiuyue Wang, Xuming He
In this paper, we aim to address the challenging task of semantic matching where matching ambiguity is difficult to resolve even with learned deep features. We tackle this problem…
Dynamic Context Correspondence Network for Semantic Alignment
Shuaiyi Huang, Qiuyue Wang, Songyang Zhang +2
Establishing semantic correspondence is a core problem in computer vision and remains challenging due to large intra-class variations and lack of annotated data. In this paper, we…
Structured Attentions for Visual Question Answering
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang +2
Visual attention, which assigns weights to image regions according to their relevance to a question, is considered as an indispensable part by most Visual Question Answering models…