33 citations · 74 across the 9 of their papers we have counts for
4 papers · 1 filter
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze, Nicklas Hansen, Yinbo Chen +2
A prominent approach to visual Reinforcement Learning (RL) is to learn an internal state representation using self-supervised methods, which has the potential benefit of improved s…
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen, Xiaolong Wang
Implicit Neural Representations (INRs) have emerged and shown their benefits over discrete representations in recent years. However, fitting an INR to the given observations usuall…
Learning Implicit Feature Alignment Function for Semantic Segmentation
Hanzhe Hu, Yinbo Chen, Jiarui Xu +4
Integrating high-level context information with low-level details is of central importance in semantic segmentation. Towards this end, most existing segmentation models apply bilin…
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Zeyuan Chen, Yinbo Chen, Jingwen Liu +5
Videos typically record the streaming and continuous visual data as discrete consecutive frames. Since the storage cost is expensive for videos of high fidelity, most of them are s…