1 citations · 1 across the 3 of their papers we have counts for
4 papers
Comparison of Image Processing Models in Quark Gluon Jet Classification
Daeun Kim, Jiwon Lee, Wonjun Jeong +6
We present a comprehensive comparison of convolutional and transformer-based models for distinguishing quark and gluon jets using simulated jet images from Pythia 8. By encoding je…
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
Jinwoo Hwang, Daeun Kim, Sangyeop Lee +8
Recently, Video-Language Models (VideoLMs) have demonstrated remarkable capabilities, offering significant potential for flexible and powerful video query systems. These models typ…
MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization
Daeun Kim, Jinwoo Hwang, Changhun Oh +1
Diffusion Transformer (DiT) has driven significant progress in image generation tasks. However, DiT inferencing is notoriously compute-intensive and incurs long latency even on dat…
Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models
Hyesong Choi, Daeun Kim, Sungmin Cha +2
In this work, we dive deep into the impact of additive noise in pre-training deep networks. While various methods have attempted to use additive noise inspired by the success of la…