Byung-Ki Kwon

According to our database, Byung-Ki Kwon authored at least 12 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Early Failure Detection and Intervention in Video Diffusion Models.

Byung-Ki Kwon, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh

CoRR, March, 2026

HDR-NSFF: High Dynamic Range Neural Scene Flow Fields.

Shin Dong-Yeon, Kim Jun-Seong, Byung-Ki Kwon, Tae-Hyun Oh

CoRR, March, 2026

2025

JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers.

Byung-Ki Kwon, Qi Dai, Lee Hyoseok, Chong Luo, Tae-Hyun Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior.

Lee Hyoseok, Kyeong Seon Kim, Byung-Ki Kwon, Tae-Hyun Oh

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

The devil in the details: simple and effective optical flow synthetic data generation.

Byung-Ki Kwon, Sung-Bin Kim, Tae-Hyun Oh

Vis. Comput., December, 2024

Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation.

Ji-Yeon Kim, Oh Hyun-Bin, Byung-Ki Kwon, Dahun Kim, Yongjin Kwon, Tae-Hyun Oh

IEEE Robotics Autom. Lett., July, 2024

Revisiting Learning-based Video Motion Magnification for Real-time Processing.

Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong, Byung-Ki Kwon, Sung-Bin Kim, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh

CoRR, 2024

Learning-based Axial Video Motion Magnification.

Byung-Ki Kwon, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh

Proceedings of the Computer Vision - ECCV 2024, 2024

The Devil Is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning.

Wonjun Jo, Byung-Ki Kwon, Kim Ji-Yeon, Hawook Jeong, Kyungdon Joo, Tae-Hyun Oh

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Learning-based Axial Motion Magnification.

Byung-Ki Kwon, Oh Hyun-Bin, Kim Jun-Seong, Tae-Hyun Oh

CoRR, 2023

DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline.

Byung-Ki Kwon, Nam Hyeon-Woo, Ji-Yun Kim, Tae-Hyun Oh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2008

Standstill Parameter Identification of Vector-Controlled Induction Motor Using Frequency Characteristics of Rotor Bars.

Young-Su Kwon, Jeong-Hum Lee, Sang-Ho Moon, Byung-Ki Kwon, Chang-Ho Choi, Jul-Ki Seok

Proceedings of the Industry Applications Society Annual Meeting, 2008