Robotics and Computer Vision Lab

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저 자 Jinsun Park, In So Kweon
학 회 International Workshop on Frontiers of Computer Vision (FCV)
Notes This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2010-0028680).
논문일시(Year) 2017
논문일시(Month) 02
Single image depth estimation is an algorithm to estimate depth information from a given RGB or grayscale image only. Compared to multi-view based approaches, single image depth estimation cannot utilize correspondences between images or geometric constraints easily. These limitations lead to poor performance compared to multi-view based approaches. In order to overcome these limitations and achieve good performance, it is natural to take learning based algorithm. Recently, Convolutional Neural Networks-based approaches have shown great success in single image depth estimation task. However, there still exist fundamental limitations such as fixed input size and slow training speed in previous methods. In order to overcome these limitations, we propose a new CNN architecture which can deal with arbitrary sized input images. We also utilize newly designed Normalized Cross Correlation-based loss function. Experimental results show that our algorithm is comparable to state-of-the-art approaches despite its simplicity and fast training time.

List of Articles
529. Multi-Scale, Multi-Object and Real-Time Face Detection and Head Pose Estimation Using Deep Neural Networks
Byungtae Ahn, Dong-Geol Choi, In So Kweon
Journal of Korea Robotics Society 2017 / 09
528. VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
527. Two-Phase Learning for Weakly Supervised Object Localization
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
526. Weakly- and Self- Supervised Learning for Content-Aware Deep Image Retargeting
Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
525. Deltille Grids for Geometric Camera Calibration
Hyowon Ha, Michal Perdoch, Hatem Alismail, In So Kweon, Yaser Sheikh
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
524. Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning
Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
523. Noise Robust Depth From Focus Using a Ring Difference Filter
Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 / 07
522. Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks
Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2017 / 10
521. A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera
Kyuho Lee, Gyeongmin Choe, Kyeongryeol Bong, Changhyeon Kim, In So Kweon, Hoi-Jun Yoo
International Conference on Computer Vision Systems (ICVS) 2017 / 07
520. A Closed-Form Solution to Rotation Estimation for Structure from Small Motion
Hyowon Ha, Tae-Hyun Oh, In So Kweon
IEEE Signal Processing Letters 2017 / 05
519. Local deformation calibration for autostereoscopic 3D display
Hyoseok Hwang, Hyun Sung Chang, In So Kweon
OSA Optics Express 2017 / 05
518. A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park, Yu-Wing Tai, Donghyeon Cho, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 / 07
517. Multi-Image Deblurring using Complementary Sets of Fluttering Patterns
Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon
IEEE Transactions on Image Processing 2017 / 05
516. Light Field Image Super-Resolution using Convolutional Neural Network
Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon
IEEE Signal Processing Letters 2017 / 02
515. Structure-From-Motion in 3D Space Using 2D Lidars
Dong-Geol Choi, Yunsu Bok, Jun-sik Kim, Inwook Shim, In So Kweon
Sensors 2017 / 02
514. Deep Representation of Industrial Components using Simulated Images
Seong-Heum Kim, Gyeongmin Choe, Byungtae Ahn, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2017 / 05
513. 3D Display Calibration by Visual Pattern Analysis
Hyoseok Hwang, Hyun Sung Chang, Dongkyung Nam, In So Kweon
IEEE Transactions on Image Processing (TIP), accepted 2017 / 02
» Single Image Depth Estimation using Convolutional Neural Networks with NCC-based Loss
Jinsun Park, In So Kweon
International Workshop on Frontiers of Computer Vision (FCV) 2017 / 02
511. Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine Learning Techniques
Oleksandr Bailo, Seokju Lee, Francois Rameau, Jae Shin Yoon, In So Kweon
Winter Conference of Applications on Computer Vision (WACV) 2017 / 03
510. Robot System of DRC‐HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals
Jeongsoo Lim, Inho Lee, Inwook Shim, Hyobin Jung, Hyun Min Joe, Hyoin Bae, Okkee Sim, Jaesung Oh, Taejin Jung, Seunghak Shin, Kyungdon Joo, Mingeuk Kim, Kangkyu Lee, Yunsu Bok, Dong-Geol Choi, Buyoun Cho, Sungwoo Kim, Jungwoo Heo, Inhyeok Kim, Jungho Lee, In So Kweon, Jun‐Ho Oh
Journal of Field Robotics 2016 / 09
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