43 citations · 99 across the 7 of their papers we have counts for
5 papers · 1 filter
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee, Chiheon Kim, Minsu Cho +1
Generalizable implicit neural representation (INR) enables a single continuous function, i.e., a coordinate-based neural network, to represent multiple data instances by modulating…
PriViT: Vision Transformers for Fast Private Inference
Naren Dhyani, Jianqiao Mo, Minsu Cho +4
The Vision Transformer (ViT) architecture has emerged as the backbone of choice for state-of-the-art deep models for computer vision applications. However, ViTs are ill-suited for…
Relational Context Learning for Human-Object Interaction Detection
Sanghyun Kim, Deunsol Jung, Minsu Cho
Recent state-of-the-art methods for HOI detection typically build on transformer architectures with two decoder branches, one for human-object pair detection and the other for inte…
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
Deunsol Jung, Sanghyun Kim, Won Hwa Kim +1
Scene graph generation aims to construct a semantic graph structure from an image such that its nodes and edges respectively represent objects and their relationships. One of the m…
Learning Rotation-Equivariant Features for Visual Correspondence
Jongmin Lee, Byungjin Kim, Seungwook Kim +1
Extracting discriminative local features that are invariant to imaging variations is an integral part of establishing correspondences between images. In this work, we introduce a s…