2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee +5
For object detection task with noisy labels, it is important to consider not only categorization noise, as in image classification, but also localization noise, missing annotations…
cs.CV2022★ 2 cited
AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation
Mira Kim, Jaehoon Ko, Kyusun Cho +3
We propose a novel framework for 3D-aware object manipulation, called Auto-Encoding Neural Radiance Fields (AE-NeRF). Our model, which is formulated in an auto-encoder architecture…
cs.CV2022
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Jiwon Kim, Youngjo Min, Mira Kim +1
Establishing dense correspondences across semantically similar images is one of the challenging tasks due to the significant intra-class variations and background clutters. To solv…