most citedFourier-Guided Attention Upsampling for Image Super-Resolution

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

AGRO-Nav: Autonomous Graph-based Orchard Navigation

Ho Young Yun, Jaemin Yu, Duksu Kim

Orchards form semi-structured environments in which parallel tree rows create natural driving corridors, yet narrow inter-row clearance and dense foliage lead geometry-agnostic gri…

cs.RO2026

CORAL: Curriculum-Optimized Reward Adaptation for LiDAR-Based Goal-Directed Urban Driving

Anisa Saleem, Duksu Kim

Reinforcement learning is promising for autonomous urban driving, but long-horizon goal-directed navigation asks a policy to acquire several competing behaviors at once--reaching a…

cs.RO2026

ECO: Incremental Ego-Centric Octree Update for Point Streams

Jaemin Yu, Seongyoon Jeong, Kang-Wook Chon +1

Constructing octrees for mobile robots that process continuous point streams in real time poses significant computational and memory challenges. Standard global structures often su…

cs.CV20251 cited

Fourier-Guided Attention Upsampling for Image Super-Resolution

Daejune Choi, Youchan No, Jinhyung Lee +1

We propose Frequency-Guided Attention (FGA), a lightweight upsampling module for single image super-resolution. Conventional upsamplers, such as Sub-Pixel Convolution, are efficien…

cs.GR2025

RTPD: Penetration Depth calculation using Hardware accelerated Ray-Tracing

YoungWoo Kim, Sungmin Kwon, Duksu Kim

Penetration depth calculation quantifies the extent of overlap between two objects and is crucial in fields like simulations, the metaverse, and robotics. Recognizing its significa…