most citedResidual Correction in Real-Time Traffic Forecasting

10 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

Sungwon Hwang, Junha Hyung, Daejin Kim +2

As recent advances in Neural Radiance Fields (NeRF) have enabled high-fidelity 3D face reconstruction and novel view synthesis, its manipulation also became an essential task in 3D…

cs.CV2023

Local 3D Editing via 3D Distillation of CLIP Knowledge

Junha Hyung, Sungwon Hwang, Daejin Kim +2

3D content manipulation is an important computer vision task with many real-world applications (e.g., product design, cartoon generation, and 3D Avatar editing). Recently proposed…

cs.LG2022★ 2 cited

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting

Youngin Cho, Daejin Kim, Dongmin Kim +2

Time series forecasting has become a critical task due to its high practicality in real-world applications such as traffic, energy consumption, economics and finance, and disease a…

cs.LG2022★ 10 cited

Residual Correction in Real-Time Traffic Forecasting

Daejin Kim, Youngin Cho, Dongmin Kim +2

Predicting traffic conditions is tremendously challenging since every road is highly dependent on each other, both spatially and temporally. Recently, to capture this spatial and t…

cs.LG2022★ 4 cited

Mining Multi-Label Samples from Single Positive Labels

Youngin Cho, Daejin Kim, Mohammad Azam Khan +1

Conditional generative adversarial networks (cGANs) have shown superior results in class-conditional generation tasks. To simultaneously control multiple conditions, cGANs require…