39 citations · 52 across the 7 of their papers we have counts for
5 papers · 1 filter
VIPA: Visual Informative Part Attention for Referring Image Segmentation
Yubin Cho, Hyunwoo Yu, Kyeongbo Kong +3
Referring Image Segmentation (RIS) aims to segment a target object described by a natural language expression. Existing methods have evolved by leveraging the vision information in…
Programmable-Room: Interactive Textured 3D Room Meshes Generation Empowered by Large Language Models
Jihyun Kim, Junho Park, Kyeongbo Kong +1
We present Programmable-Room, a framework which interactively generates and edits a 3D room mesh, given natural language instructions. For precise control of a room's each attribut…
AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild
Junho Park, Kyeongbo Kong, Suk-Ju Kang
Recently, there has been a significant amount of research conducted on 3D hand reconstruction to use various forms of human-computer interaction. However, 3D hand reconstruction in…
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation
Hyunwoo Yu, Yubin Cho, Beoungwoo Kang +3
We present an Encoder-Decoder Attention Transformer, EDAFormer, which consists of the Embedding-Free Transformer (EFT) encoder and the all-attention decoder leveraging our Embeddin…
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
Jou Won Song, Kyeongbo Kong, Ye In Park +1
Anomaly detection is a task that recognizes whether an input sample is included in the distribution of a target normal class or an anomaly class. Conventional generative adversaria…