10 citations · 10 across the 4 of their papers we have counts for
4 papers
Activation Boundary Matching: Task-Informed Initialization for Low-Rank Adaptation
Dongha Lee, Jinhee Park, Minjun Kim +1
Low-Rank Adaptation (LoRA) is highly sensitive to initialization, yet existing schemes construct the initial subspace from statistics at the pretrained point, capturing pre-adaptat…
Upright adjustment with graph convolutional networks
Raehyuk Jung, Sungmin Cho, Junseok Kwon
We present a novel method for the upright adjustment of 360 images. Our network consists of two modules, which are a convolutional neural network (CNN) and a graph convolutional ne…
Spherical Transformer
Sungmin Cho, Raehyuk Jung, Junseok Kwon
Using convolutional neural networks for 360images can induce sub-optimal performance due to distortions entailed by a planar projection. The distortion gets deteriorated when a rot…
DALE : Dark Region-Aware Low-light Image Enhancement
Dokyeong Kwon, Guisik Kim, Junseok Kwon
In this paper, we present a novel low-light image enhancement method called dark region-aware low-light image enhancement (DALE), where dark regions are accurately recognized by th…