no code implementations • 20 May 2024 • Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon
Through this embedding process, our method helps the pretrained model to be free from restraint of depth scan range and to provide absolute scale depth maps.
1 code implementation • 27 Mar 2024 • Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi
Compared to conventional DA methods, our ECB achieves superior performance, which verifies its effectiveness in this hybrid model.
Ranked #4 on Unsupervised Domain Adaptation on Office-Home
1 code implementation • 27 Mar 2024 • Inhwan Bae, Junoh Lee, Hae-Gon Jeon
Next, to guide the language model in understanding and reasoning high-level knowledge, such as scene context and social relationships between pedestrians, we introduce an auxiliary multi-task question and answering.
1 code implementation • 27 Mar 2024 • Inhwan Bae, Young-Jae Park, Hae-Gon Jeon
In this paper, we propose SingularTrajectory, a diffusion-based universal trajectory prediction framework to reduce the performance gap across the five tasks.
no code implementations • 28 Jan 2024 • Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi
Our model provides predictions at 6-hour intervals for up to 72 hours in advance and outperforms both state-of-the-art data-driven methods and numerical weather prediction models.
1 code implementation • ICCV 2023 • Inhwan Bae, Jean Oh, Hae-Gon Jeon
In this paper, we present EigenTrajectory ($\mathbb{ET}$), a trajectory prediction approach that uses a novel trajectory descriptor to form a compact space, known here as $\mathbb{ET}$ space, in place of Euclidean space, for representing pedestrian movements.
1 code implementation • CVPR 2023 • Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park, Hae-Gon Jeon
The low-resolution depth network predicts the global structure from a low-resolution image, and the part-wise image-to-normal network predicts the details of the 3D human body structure.
Ranked #8 on 3D Human Reconstruction on CustomHumans (using extra training data)
1 code implementation • 2 Jan 2023 • Jisu Shin, Seunghyun Shin, Hae-Gon Jeon
Understanding the informative structures of scenes is essential for low-level vision tasks.
no code implementations • 21 Nov 2022 • Jihwan Bae, Junwon Seo, Taekyung Kim, Hae-Gon Jeon, Kiho Kwak, Inwook Shim
To mitigate the uncertainty, we introduce a deep metric learning-based method to incorporate unlabeled data with a few positive and negative prototypes in order to leverage the uncertainty, which jointly learns using semantic segmentation and traversability regression.
1 code implementation • 20 Jul 2022 • Changyeon Won, Hae-Gon Jeon
In addition, for the generalization of the proposed network, we develop a simulator to realistically reproduce the features of commercial cameras, such as changes in field of view, focal length and principal points.
2 code implementations • 20 Jul 2022 • Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
A key idea of GP-Graph is to model both individual-wise and group-wise relations as graph representations.
no code implementations • 31 May 2022 • Ripon Kumar Saha, A. M. Mahmud Chowdhury, Kyung-Sun Na, Gyu Deok Hwang, Youngsub Eom, Jaeyoung Kim, Hae-Gon Jeon, Ho Sik Hwang, Euiheon Chung
Purpose: Develop a deep learning-based automated method to segment meibomian glands (MG) and eyelids, quantitatively analyze the MG area and MG ratio, estimate the meiboscore, and remove specular reflections from infrared images.
1 code implementation • CVPR 2022 • Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
Capturing multimodal natures is essential for stochastic pedestrian trajectory prediction, to infer a finite set of future trajectories.
no code implementations • 25 Nov 2021 • Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon
Many mobile manufacturers recently have adopted Dual-Pixel (DP) sensors in their flagship models for faster auto-focus and aesthetic image captures.
no code implementations • 15 Oct 2019 • Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez, Chia Dai, Yeeho Song
One of the key challenges in the semantic mapping problem in postdisaster environments is how to analyze a large amount of data efficiently with minimal supervision.
1 code implementation • ICLR 2019 • Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
The cost volume is constructed using a differentiable warping process that allows for end-to-end training of the network.
2 code implementations • CVPR 2018 • Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim
Light field cameras capture both the spatial and the angular properties of light rays in space.
no code implementations • CVPR 2018 • Sunghoon Im, Hae-Gon Jeon, In So Kweon
As demand for advanced photographic applications on hand-held devices grows, these electronics require the capture of high quality depth.
no code implementations • CVPR 2017 • Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
With the result from the FM, the role of a DfF pipeline is to determine and recalculate unreliable measurements while enhancing those that are reliable.
no code implementations • CVPR 2016 • Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In So Kweon
Consumer devices with stereo cameras have become popular because of their low-cost depth sensing capability.
1 code implementation • CVPR 2016 • Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In So Kweon
We propose a novel approach that generates a high-quality depth map from a set of images captured with a small viewpoint variation, namely small motion clip.
no code implementations • ICCV 2015 • Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon
In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique.
no code implementations • ICCV 2015 • Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
To address these problems, we introduce a novel 3D reconstruction method from narrow-baseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial digital cameras.
no code implementations • CVPR 2015 • Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon
This paper introduces an algorithm that accurately estimates depth maps using a lenslet light field camera.