1 code implementation • 27 Jul 2024 • Juhan Cha, Minseok Joo, Jihwan Park, Sanghyeok Lee, Injae Kim, Hyunwoo J. Kim
Additionally, existing fusion methods overlook the detrimental impact of sensor noise induced by environmental changes, on detection performance.
Ranked #15 on 3D Object Detection on nuScenes
1 code implementation • 7 Nov 2023 • Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
Neural Radiance Field (NeRF) has enabled novel view synthesis with high fidelity given images and camera poses.
no code implementations • 23 Aug 2023 • Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim
However, those methods do not consider whether a concept is visually relevant or not, which is an important factor in computing meaningful concept scores.
no code implementations • 5 Mar 2023 • Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim
We present a learning framework for reconstructing neural scene representations from a small number of unconstrained tourist photos.
1 code implementation • 13 Oct 2022 • Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
Mixup is a simple and widely-used data augmentation technique that has proven effective in alleviating the problems of overfitting and data scarcity.
Ranked #41 on 3D Part Segmentation on ShapeNet-Part