no code implementations • 13 Mar 2024 • Yi Zhou, HUI ZHANG, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo
Concretely, we introduce a hybrid representation called HIQuery to represent all map elements, and propose a point-element interactor to interactively extract and encode the hybrid information of elements, e. g. point position and element shape, into the HIQuery.
no code implementations • 13 Mar 2023 • Hyeongseok Son, Sangil Jung, Solae Lee, Seongeun Kim, Seung-In Park, ByungIn Yoo
Human is one of the most essential classes in visual recognition tasks such as detection, segmentation, and pose estimation.
no code implementations • CVPR 2021 • Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Bohyung Han
RaScaNet reads only a few rows of pixels at a time using a convolutional neural network and then sequentially learns the representation of the whole image using a recurrent neural network.
no code implementations • CVPR 2019 • Sangil Jung, Changyong Son, Seohyung Lee, Jinwoo Son, Youngjun Kwak, Jae-Joon Han, Sung Ju Hwang, Changkyu Choi
We demonstrate the effectiveness of our trainable quantizer on ImageNet dataset with various network architectures such as ResNet-18, -34 and AlexNet, on which it outperforms existing methods to achieve the state-of-the-art accuracy.