no code implementations • 23 Nov 2023 • Justin Spencer, Deborah Lawrence, Prosenjit Chatterjee, Kaushik Roy, Albert Esterline, Jung-Hee Kim
The second uses a shallow CNN based on a modified Spoofnet architecture, which is trained normally.
no code implementations • ICCV 2023 • Jongsung Lee, Gyeongsu Cho, Jeongin Park, Kyongjun Kim, Seongoh Lee, Jung-Hee Kim, Seong-Gyun Jeong, Kyungdon Joo
Based on the slanted MCI, we estimate a set of adaptive bins and a per-pixel probability map for depth estimation.
1 code implementation • NeurIPS 2022 • Jung-Hee Kim, Junwha Hur, Tien Phuoc Nguyen, Seong-Gyun Jeong
We present a self-supervised depth estimation approach using a unified volumetric feature fusion for surround-view images.
no code implementations • Interspeech 2020 • Jung-Hee Kim, Joon-Hyuk Chang
In this paper, a Wave-U-Net based acoustic echo cancellation (AEC) with an attention mechanism is proposed to jointly sup- press acoustic echo and background noise.