2 citations · 4 across the 6 of their papers we have counts for
4 papers
MFOS: Model-Free & One-Shot Object Pose Estimation
JongMin Lee, Yohann Cabon, Romain Brégier +2
Existing learning-based methods for object pose estimation in RGB images are mostly model-specific or category based. They lack the capability to generalize to new object categorie…
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation
Hyunyoung Jung, Zhuo Hui, Lei Luo +5
To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs. However, downsizing inputs makes the esti…
Memory Efficient Patch-based Training for INR-based GANs
Namwoo Lee, Hyunsu Kim, Gayoung Lee +2
Recent studies have shown remarkable progress in GANs based on implicit neural representation (INR) - an MLP that produces an RGB value given its (x, y) coordinate. They represent…
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models
Sungmin Cho, Hongjun Lim, Keunchan Park +2
Personalized news recommendation aims to provide attractive articles for readers by predicting their likelihood of clicking on a certain article. To accurately predict this probabi…