3 papers
cs.CV2026
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
Euisoo Jung, Byunghyun Kim, Hyunjin Kim +2
Diffusion models have achieved remarkable progress in high-fidelity image, video, and audio generation, yet inference remains computationally expensive. Nevertheless, current diffu…
cs.CV2025
Ultra-Light Test-Time Adaptation for Vision--Language Models
Byunghyun Kim
Vision-Language Models (VLMs) such as CLIP achieve strong zero-shot recognition by comparing image embeddings to text-derived class prototypes. However, under domain shift, they su…
cs.LG2024
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
Byunghyun Kim, Jae-Gil Lee
Irregularly sampled time series forecasting, characterized by non-uniform intervals, is prevalent in practical applications. However, previous research have been focused on regular…