64 citations · 204 across the 20 of their papers we have counts for
5 papers · 1 filter
Differentiable Mathematical Programming for Object-Centric Representation Learning
Adeel Pervez, Phillip Lippe, Efstratios Gavves
We propose topology-aware feature partitioning into disjoint partitions for given scene features as a method for object-centric representation learning. To this end, we propose…
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
Jie Liu, Yanqi Bao, Guo-Sen Xie +3
The key challenge for few-shot semantic segmentation (FSS) is how to tailor a desirable interaction among support and query features and/or their prototypes, under the episodic tra…
NFormer: Robust Person Re-identification with Neighbor Transformer
Haochen Wang, Jiayi Shen, Yongtuo Liu +2
Person re-identification aims to retrieve persons in highly varying settings across different cameras and scenarios, in which robust and discriminative representation learning is c…
3D Equivariant Graph Implicit Functions
Yunlu Chen, Basura Fernando, Hakan Bilen +2
In recent years, neural implicit representations have made remarkable progress in modeling of 3D shapes with arbitrary topology. In this work, we address two key limitations of suc…
Delta Distillation for Efficient Video Processing
Amirhossein Habibian, Haitam Ben Yahia, Davide Abati +2
This paper aims to accelerate video stream processing, such as object detection and semantic segmentation, by leveraging the temporal redundancies that exist between video frames.…