News↑
(Jun. 2022) A paper on 6D Object Pose Tracking was accepted to ICIP.
(Mar. 2022) A paper on video object segmentation was accepted to ICME.
(Feb. 2022) A paper on estimating physical properties of containers and fillings was accepted to ICASSP Grand Challenge.
(Jan. 2022) A paper on underwater image enhancement was accepted to ICASSP.
(Dec. 2021) 2021 Intelligent Sensing Winter School
(Oct. 2021) A paper on video prediction was accepted to BMVC.
(Sep. 2021) A paper on adversarial image filters was accepted to TIP.
(Jun. 2021) A paper on policy learning from a static image was accepted to IROS.
(Jun. 2021) A paper on safe human-to-robot handover was accepted to ROMAN.
(Jun. 2021) A paper on visual-tactile perception was accepted to CASE.
(Sep. 2020) Co-organised 2020 Intelligent Sensing Summer School
(Mar. 2020) A paper on mapless navigation was accepted to TCSVT.
(Jan. 2020) A paper on adversarial image enhancement filter was accepted to ICASSP.
(Jan. 2020) A paper on stereo dehazing was accepted to IJCV.
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[C25] Cluster-based 3D Keypoint Detection for Category-agnostic 6D Pose Tracking
Long Tian, Andrea Cavallaro, Changjae Oh
in Proc. IEEE Int. Conf. Image Process. (ICIP), Oct. 2022.
[webpage]
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[C24] Boosting Video Object Segmentation based on Scale Inconsistency
Hengyi Wang, Changjae Oh
in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Jul. 2022.
[paper]
[webpage]
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[W01] Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
Hengyi Wang, Chaoran Zhu, Ziyin Ma, Changjae Oh
in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP) Grand Challenges: Audio-Visual Object Classification For Human-Robot Collaboration, May 2022.
[paper]
[code]
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[C23] A Wavelet-based Dual-stream Network for Underwater Image Enhancement
Ziyin Ma, Changjae Oh
in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), May 2022.
[paper]
[webpage]
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[C22] Wide and Narrow: Video Prediction from Context and Motion
Jaehoon Cho, Jiyoung Lee, Changjae Oh, Wonil Song, Kwanghoon Sohn
in Proc. British Mach. Vis. Conf. (BMVC), Nov. 2021.
[paper]
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[J11] Semantically Adversarial Learnable Filters
Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro
IEEE Trans. Image Process. (TIP), vol. 30, pp. 8075-8087, Sep. 2021
[arxiv]
[code]
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[C21] OHPL: One-shot Hand-eye Policy Learner
Changjae Oh, Yik Lung Pang, Andrea Cavallaro
in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), Sep. 2021.
[paper]
[webpage]
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[C20] Towards safe human-to-robot handovers of unknown containers
Yik Lung Pang, Alessio Xompero, Changjae Oh, Andrea Cavallaro
in Proc. IEEE Int. Conf. Robot Human Interactive Commun. (ROMAN), Aug. 2021.
[paper]
[code]
[webpage]
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[C19] Multi-modal robotic visual-tactile localisation and detection of surface cracks
Francesca Palermo, Liz Katherine Rincon Ardila, Changjae Oh, Kaspar Althoefer, Stefan Poslad, Gentiane Venture, Ildar Farkhatdinov
in Proc. IEEE Int. Conf. Autom., Sci. Eng. (CASE), Aug. 2021.
[paper]
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[J10] View-Action Representation Learning for Active First-Person Vision
Changjae Oh and Andrea Cavallaro
IEEE Trans. Circuits Syst. Video Technol. (TCSVT), vol. 32, no. 2, pp. 480-491, Feb. 2021.
[paper]
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[J9] Simultaneous Deep Stereo Matching and Dehazing with Feature Attention
Taeyong Song, Youngjung Kim, Changjae Oh, Hyunsung Jang, Namkoo Ha, and Kwanghoon Sohn
Int. J. Comput. Vis. (IJCV), vol. 128, pp. 799-817, Jan. 2020.
[paper]
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[C18] Edgefool: An Adversarial Image Enhancement Filter
Ali Shahin Shamsabadi, Changjae Oh, and Andrea Cavallaro
in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), May 2020.
[paper]
[code]
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[J8] OCEAN: Object-Centric Arranging Network for Self-supervised Visual Representations Learning
Changjae Oh, Bumsub Ham, Hansung Kim, Adrian Hilton, and Kwanghoon Sohn
Expert Systems with Applications. (ESWA), vol. 125, pp. 281-292 Jul. 2019.
[paper]
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[C17] Learning Action Representations for Self-supervised Visual Exploration
Changjae Oh and Andrea Cavallaro
in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), May 2019.
[paper]
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[C16] Deep Network for Simultaneous Stereo Matching and Dehazing
Taeyong Song, Youngjung Kim, Changjae Oh, and Kwanghoon Sohn
in Proc. British Machine Vis. Conf. (BMVC), Sep. 2018. (Oral Presentation) (Best Science Paper Honourable Mention)
[paper]
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[C15] Multi-task Self-supervised Visual Representation Learning for Monocular Road Segmentation
Jaehoon Cho, Youngjung Kim, Hyungjoo Jung, Changjae Oh, Jaesung Youn, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Multimedia and Expo. (ICME), Jul. 2018. (Oral Presentation)
[paper]
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[C14] Depth Prediction from a Single Image with Conditional Adversarial Networks
Hyungjoo Jung, Youngjung Kim, Dongbo Min, Changjae Oh, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2017.
[paper]
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[J7] Robust Interactive Image Segmentation using Structure-aware Labeling
Changjae Oh, Bumsub Ham, and Kwanghoon Sohn
Expert Systems with Applications. (ESWA), vol. 79, pp. 90-100, Aug. 2017.
[paper]
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[J6] Structure selective depth super-resolution for RGB-D cameras
Youngjung Kim, Bumsub Ham, Changjae Oh, and Kwanghoon Sohn
IEEE Trans. Image Process. (TIP), vol. 26, pp. 4079-4091, Aug. 2017.
[paper]
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[J5] Non-Parametric Human Segmentation Using Support Vector Machine
Kyuwon Kim, Changjae Oh, and Kwanghoon Sohn
IEEE Trans. Consumer Electronics (TCE), vol. 63, pp.93-100, May 2017.
[paper]
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[J4] Personness estimation for real-time human detection on mobile devices
Kyuwon Kim, Changjae Oh, and Kwanghoon Sohn
Expert Systems with Applications (ESWA), vol. 72, pp. 130-138, Apr. 2017.
[paper]
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[C13] Point-cut: Interactive Image Segmentation using Point Supervision
Changjae Oh, Bumsub Ham, and Kwanghoon Sohn
in Proc. Asian Conf. Comput. Vis. (ACCV), Nov. 2016.
[paper]
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[C12] Edge-Aware Image Smoothing using Commute Time Distances
Youngjung Kim, Changjae Oh, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2016.
[paper]
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[C11] Depth Extraction from a Single Image Based on Block-Matching and Robust Regression
Hyungjoo Jung, Changjae Oh, Youngjung Kim, and Kwanghoon Sohn
in Proc. Electronic Imaging (EI), Feb. 2016.
[paper]
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[C10] Non-Parametric Human Segmentation Using Support Vector Machine
Kyuwon Kim, Changjae Oh, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Consumer Electronics (ICCE), Jan. 2016.
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[J3] Depth Analogy: Data-driven Approach for Single Image Depth Estimation using Gradient Samples
Sunghwan Choi, Dongbo Min, Bumsub Ham, Youngjung Kim, Changjae Oh, and Kwanghoon Sohn
IEEE Trans. Image Process. (TIP), vol. 24, no. 12, pp. 5953-5966, Dec. 2015.
[paper]
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[C9] Segment-based Free Space Estimation using Plane Normal Vector in Disparity Space
Jeonghyun Seo, Changjae Oh, and Kwanghoon Sohn
in Proc. Int. Conf. Connected Vehicles & Expo, Oct. 2015.
[paper]
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[C8] Sparse Edit Propagation for High Resolution Image using Support Vector Machines
Changjae Oh, Seungchul Ryu, Youngjung Kim, Taewoong Park, Jihyun Kim, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2015.
[paper]
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[C7] A Majorize-minimize Approach for High-Quality Depth Upsampling
Youngjung Kim, Sunghwan Choi, Changjae Oh, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2015.
[paper]
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[C6] Structure-Aware Depth Super-Resolution Using Gaussian Mixture Model
Sunok Kim, Changjae Oh, Youngjung Kim, and Kwanghoon Sohn
in Proc. SPIE Electronic Imaging (EI), Feb. 2015.
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[J2] Visual Fatigue Relaxation for Stereoscopic Video via Nonlinear Disparity Remapping
Changjae Oh, Bumsub Ham, Sunghwan Choi, and Kwanghoon Sohn
IEEE Trans. Broadcast. (TB), vol. 61, no. 2, pp. 142-153, Jun. 2015.
[paper]
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[J1] Probability-Based Rendering for View Synthesis
Bumsub Ham, Dongbo Min, Changjae Oh, Minh N. Do, and Kwanghoon Sohn
IEEE Trans. Image Process. (TIP), vol. 23, no. 2, pp. 870-884, Feb. 2014.
[paper]
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[C5] Visual Fatigue Prediction and Its Visualization
Changjae Oh, Bumsub Ham, and Kwanghoon Sohn
in Proc. Global 3D Tech Forum, Oct. 2013. (Best Paper Award)
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[C4] Disparity Search Range Estimation Based on Dense Stereo Matching
Ruei-Hung Li, Bumsub Ham, Changjae Oh, and Kwanghoon Sohn
in Proc. IEEE Int. Conf. Industrial Electronics and Applications (ICIEA), Jun. 2013. (Best Paper Award)
[paper]
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[C3] Probabilistic Correspondence Matching using Random Walk with Restart
Changjae Oh, Bumsub Ham, and Kwanghoon Sohn
in British Machine Vis. Conf. (BMVC), Sep. 2012.
[paper]
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[C2] Hybrid Approach for Accurate Depth Acquisition with Structured Light and Stereo Camera
Sunghwan Choi, Bumsub Ham, Changjae Oh, Hyon-gon Choo, Jinwoong Kim, and Kwanghoon Sohn
in Proc. IEEE Int. Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jun. 2012.
[paper]
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[C1] Joint Radiometric Calibration and Multi-view Matching with Ground Control Points
Changjae Oh, Bumsub Ham, Hyon-gon Choo, Jinwoong Kim, Kwanghoon Sohn
in Proc. IEEE Int. Workshop on Advanced Image Technology (IWAIT), Jan. 2012.
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[Sep. 2019 - Present] CORSMAL: Collaborative Object Recognition, Shared Manipulation and Learning
Project member
The Engineering and Physical Sciences Research Council (EPSRC), UK
Vision-based perception for human-to-robot handover
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[May. 2018 - Aug. 2019] Nuclear Centre for Nuclear Robotics (NCNR)
Postdoctoral research assistant
The Engineering and Physical Sciences Research Council (EPSRC), UK
Vision-based robot navigation for unseen environment
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[2020/2021] Computer Vision
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[2020/2021] Image and Video Processing
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[2020] Interactive Media Design and Production
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[2019] Advanced Transform Methods
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