3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Context-Guided Semantic Alignment for Feature Fusion Networks
Hyungseop Lee, Jiho Lee, Woochul Kang
Feature fusion networks are fundamental components in modern object detectors, aggregating multi-scale features to detect objects of varying sizes. However, directly fusing feature…
cs.CV2026
AnyDepth-DETR/-YOLO: Any-depth object detection with a single network
Woochul Kang, Hyungseop Lee, Jiho Lee
Modern object detectors are static, fixed-depth networks optimized for a single operating point, requiring separate models for different deployment scenarios. We present an any-dep…
stat.ML2021★ 3 cited
-Stable convergence of heavy-tailed infinitely-wide neural networks
Paul Jung, Hoil Lee, Jiho Lee +1
We consider infinitely-wide multi-layer perceptrons (MLPs) which are limits of standard deep feed-forward neural networks. We assume that, for each layer, the weights of an MLP are…