4 papers
On the Depth Scalability of Logic Gate Networks
Taegun An, Dohun kim, Haebeom Lee +1
Logic Gate Networks (LGNs) compute through compositions of Boolean operations, yet existing LGNs do not reliably benefit from increased depth. We identify two causes: optimization…
HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression
Junhao Cai, Taegun An, Chengjun Jin +3
Distributed multi-stage image compression -- where visual content traverses multiple processing nodes under varying quality requirements -- poses challenges. Progressive methods en…
Toward Scalable and Efficient Visual Data Transmission in 6G Networks
Junhao Cai, Taegun An, Changhee Joo
6G network technology will emerge in a landscape where visual data transmissions dominate global mobile traffic and are expected to grow continuously, driven by the increasing dema…
CycleGANAS: Differentiable Neural Architecture Search for CycleGAN
Taegun An, Changhee Joo
We develop a Neural Architecture Search (NAS) framework for CycleGAN that carries out unpaired image-to-image translation task. Extending previous NAS techniques for Generative Adv…