712 citations · 2.4k across the 67 of their papers we have counts for
6 papers · 1 filter
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Jiyoung Kim, Kyuhong Shim, Insu Lee +1
Unsupervised semantic segmentation (USS) aims to discover and recognize meaningful categories without any labels. For a successful USS, two key abilities are required: 1) informati…
Depth-Relative Self Attention for Monocular Depth Estimation
Kyuhong Shim, Jiyoung Kim, Gusang Lee +1
Monocular depth estimation is very challenging because clues to the exact depth are incomplete in a single RGB image. To overcome the limitation, deep neural networks rely on vario…
Semantic-Preserving Augmentation for Robust Image-Text Retrieval
Sunwoo Kim, Kyuhong Shim, Luong Trung Nguyen +1
Image text retrieval is a task to search for the proper textual descriptions of the visual world and vice versa. One challenge of this task is the vulnerability to input image and…
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Jiseob Kim, Kyuhong Shim, Junhan Kim +1
Generalized zero-shot learning (GZSL) is a technique to train a deep learning model to identify unseen classes using the image attribute. In this paper, we put forth a new GZSL app…
Beamforming Design with Partial Channel Estimation and Feedback for FDD RIS-Assisted Systems
Xiaochun Ge, Shanping Yu, Wenqian Shen +2
Beamforming design with partial channel estimation and feedback for frequency-division duplexing (FDD) reconfigurable intelligent surface (RIS) assisted systems is considered in th…
Towards 6G Hyper-Connectivity: Vision, Challenges, and Key Enabling Technologies
Howon Lee, Byungju Lee, Heecheol Yang +5
Technology forecasts anticipate a new era in which massive numbers of humans, machines, and things are connected to wireless networks to sense, process, act, and communicate with t…