Pattern Recognition Letters

Connecting the Objects: Relational Occlusion Graphs for Amodal Segmentation

Huiling Liu, Eunnam Cho, Soyun Choi, Aecheon Jung, Seung Wook Kim, Sungeun Hong

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model

Jihwan Moon, Jihoon Park, Jungeun Kim, Jongseong Bae, Hyeongwoo Jeon, Ha Young Kim

Fog-Free Training for Foggy Scene Understanding

Minyoung Lee, Kyungwoo Song, Junsuk Choe

MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers

Jongseong Bae, Susang Kim, Minsu Cho, Ha Young Kim

MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers

Jongseong Bae, Susang Kim, Ha Young Kim

Network fission ensembles for low-cost self-ensembles

H. Lee, J.-S. Lee

Robust Watermarks for Audio Diffusion Models by Quadrature Amplitude Modulation

K R Lee*, S M Hong*, S Y Chun

SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems

Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh

Structural and Positional Ensembled Encoding for Graph Transformer

Jeyoon Yeom, Taero Kim, Rakwoo Chang, Kyungwoo Song

CSLT-AK: Convolutional-embedded Transformer with an Action Tokenizer and Keypoint Emphasizer for Sign Language Translation

Jungeun Kim, Ha Young Kim

EasyFuse: Easy-to-Learn Visible and Infrared Image Fusion Framework based on Unpaired Set

Seongyong Ahn, Inwook Shim, Jihong Min, Kuk-Jin Yoon

Entropy Regularization for Weakly Supervised Object Localization

D Hwang, J-W. Ha, Hyunjung Shim, J Choe

Local Selective Vision Transformer for Depth Estimation Using a Compound Eye Camera

Wooseok Oh, Hwiyeon Yoo, Timothy Ha, and Songhwai Oh

Multi-Resolution Distillation for Self-Supervised Monocular Depth Estimation

Sebin Lee, Woobin Im, Sung-Eui Yoon

Multi-Scale Foreground-Background Separation for Light Field Depth Estimation with Deep Convolutional Networks

Jae Young Lee, Jiwan Hur, Jaehyun Choi, Rae-Hong Park, and Junmo Kim

Sequential Likelihood-Free Inference with Neural Proposal

Kim, D., Song, K., Kim, Y., Shin, Y., Kang, W., Moon, I. C., & Joo, W.

Sequential Likelihood-Free Inference with Neural Proposal

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo