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[W02] Sparse Multi-View Hand-Object Reconstruction for Unseen Environments


Yik Lung Pang, Changjae Oh, Andrea Cavallaro
in IEEE/CVF CVPR Workshop - Learning 3D with Multi-View Supervision, June 2024.

[J13] Neuromorphic Tactile Sensing System for Textural Features Classification


Haydar Al Haj Ali, Yahya Abbass, Christian Gianoglio, Ali Ibrahim, Changjae Oh, Maurizio Valle
IEEE Sensors Journal, 2024 (accepted).
[paper]

[J12] Test-time Adaptation for 6D Pose Tracking


Long Tian, Changjae Oh, Andrea Cavallaro
Pattern Recognition (PR), vol. 152, pp. 110390, Aug. 2024.
[paper] [webpage]

[C30] Open-vocabulary object 6D pose estimation


Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight)
[paper] [webpage]

[C29] Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation


Jihyun Kim, Changjae Oh, Hoseok Do, Soohyun Kim, Kwanghoon Sohn
in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[paper]

[C28] Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection


Meng Xing, Zhiyong Feng, Yong Su, Changjae Oh
in AAAI Conference on Artificial Intelligence (AAAI), 2024.
[paper] [code]

[C27] Implementation of a Stereo Vision System for a Mixed Reality Robot Teleoperation Simulator


Aaron Lee Smiles, Kitti Dimitri Chavanakunakorn, Bukeikhan Omarali, Changjae Oh, Ildar Farkhatdinov
in Annual Conference Towards Autonomous Robotic Systems (TAROS), Sep. 2023.
[paper]

[C26] Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations


Alessandro Pighetti, Francesco Bellotti, Changjae Oh, Luca Lazzaroni, Luca Forneris, Matteo Fresta, Riccardo Berta
in International Conference on Applications in Electronics Pervading Industry, Environment and Society, Sep. 2023.

[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]

[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]

[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]

[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]

[BC01] Visual Adversarial Attacks and Defenses


Changjae Oh, Alessio Xompero, Andrea Cavallaro
In Advanced Methods And Deep Learning In Computer Vision, Editors: E. R. Davies, Matthew Turk, 1st Edition, Elsevier, pages 511-543, November 2021.
[chapter]

[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]

[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]

[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]

[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]

[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]

[J10] View-Action Representation Learning for Active First-Person Vision


Changjae Oh, Andrea Cavallaro
IEEE Trans. Circuits Syst. Video Technol. (TCSVT), vol. 32, no. 2, pp. 480-491, Feb. 2021.
[paper]

[J9] Simultaneous Deep Stereo Matching and Dehazing with Feature Attention


Taeyong Song, Youngjung Kim, Changjae Oh, Hyunsung Jang, Namkoo Ha, Kwanghoon Sohn
Int. J. Comput. Vis. (IJCV), vol. 128, pp. 799-817, Jan. 2020.
[paper]

[C18] Edgefool: An Adversarial Image Enhancement Filter


Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro
in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), May 2020.
[paper] [code]

[J8] OCEAN: Object-Centric Arranging Network for Self-supervised Visual Representations Learning


Changjae Oh, Bumsub Ham, Hansung Kim, Adrian Hilton, Kwanghoon Sohn
Expert Systems with Applications. (ESWA), vol. 125, pp. 281-292 Jul. 2019.
[paper]

[C17] Learning Action Representations for Self-supervised Visual Exploration


Changjae Oh, Andrea Cavallaro
in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), May 2019.
[paper]

[C16] Deep Network for Simultaneous Stereo Matching and Dehazing


Taeyong Song, Youngjung Kim, Changjae Oh, Kwanghoon Sohn
in Proc. British Machine Vis. Conf. (BMVC), Sep. 2018. (Oral Presentation) (Best Science Paper Honourable Mention)
[paper]

[C15] Multi-task Self-supervised Visual Representation Learning for Monocular Road Segmentation


Jaehoon Cho, Youngjung Kim, Hyungjoo Jung, Changjae Oh, Jaesung Youn, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Multimedia and Expo. (ICME), Jul. 2018.
[paper]

[C14] Depth Prediction from a Single Image with Conditional Adversarial Networks


Hyungjoo Jung, Youngjung Kim, Dongbo Min, Changjae Oh, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2017.
[paper]

[J7] Robust Interactive Image Segmentation using Structure-aware Labeling


Changjae Oh, Bumsub Ham, Kwanghoon Sohn
Expert Systems with Applications. (ESWA), vol. 79, pp. 90-100, Aug. 2017.
[paper]

[J6] Structure selective depth super-resolution for RGB-D cameras


Youngjung Kim, Bumsub Ham, Changjae Oh, Kwanghoon Sohn
IEEE Trans. Image Process. (TIP), vol. 26, pp. 4079-4091, Aug. 2017.
[paper]

[J5] Non-Parametric Human Segmentation Using Support Vector Machine


Kyuwon Kim, Changjae Oh, Kwanghoon Sohn
IEEE Trans. Consumer Electronics (TCE), vol. 63, pp.93-100, May 2017. (Chester Sall Award)
[paper]

[J4] Personness estimation for real-time human detection on mobile devices


Kyuwon Kim, Changjae Oh, Kwanghoon Sohn
Expert Systems with Applications (ESWA), vol. 72, pp. 130-138, Apr. 2017.
[paper]

[C13] Point-cut: Interactive Image Segmentation using Point Supervision


Changjae Oh, Bumsub Ham, Kwanghoon Sohn
in Proc. Asian Conf. Comput. Vis. (ACCV), Nov. 2016.
[paper]

[C12] Edge-Aware Image Smoothing using Commute Time Distances


Youngjung Kim, Changjae Oh, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2016.
[paper]

[C11] Depth Extraction from a Single Image Based on Block-Matching and Robust Regression


Hyungjoo Jung, Changjae Oh, Youngjung Kim, Kwanghoon Sohn
in Proc. Electronic Imaging (EI), Feb. 2016.
[paper]

[C10] Non-Parametric Human Segmentation Using Support Vector Machine


Kyuwon Kim, Changjae Oh, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Consumer Electronics (ICCE), Jan. 2016.

[J3] Depth Analogy: Data-driven Approach for Single Image Depth Estimation using Gradient Samples


Sunghwan Choi, Dongbo Min, Bumsub Ham, Youngjung Kim, Changjae Oh, Kwanghoon Sohn
IEEE Trans. Image Process. (TIP), vol. 24, no. 12, pp. 5953-5966, Dec. 2015.
[paper]

[C9] Segment-based Free Space Estimation using Plane Normal Vector in Disparity Space


Jeonghyun Seo, Changjae Oh, Kwanghoon Sohn
in Proc. Int. Conf. Connected Vehicles & Expo, Oct. 2015.
[paper]

[C8] Sparse Edit Propagation for High Resolution Image using Support Vector Machines


Changjae Oh, Seungchul Ryu, Youngjung Kim, Taewoong Park, Jihyun Kim, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2015.
[paper]

[C7] A Majorize-minimize Approach for High-Quality Depth Upsampling


Youngjung Kim, Sunghwan Choi, Changjae Oh, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2015.
[paper]

[C6] Structure-Aware Depth Super-Resolution Using Gaussian Mixture Model


Sunok Kim, Changjae Oh, Youngjung Kim, Kwanghoon Sohn
in Proc. SPIE Electronic Imaging (EI), Feb. 2015.

[J2] Visual Fatigue Relaxation for Stereoscopic Video via Nonlinear Disparity Remapping


Changjae Oh, Bumsub Ham, Sunghwan Choi, Kwanghoon Sohn
IEEE Trans. Broadcast. (TB), vol. 61, no. 2, pp. 142-153, Jun. 2015.
[paper]

[J1] Probability-Based Rendering for View Synthesis


Bumsub Ham, Dongbo Min, Changjae Oh, Minh N. Do, Kwanghoon Sohn
IEEE Trans. Image Process. (TIP), vol. 23, no. 2, pp. 870-884, Feb. 2014.
[paper]

[C5] Visual Fatigue Prediction and Its Visualization


Changjae Oh, Bumsub Ham, Kwanghoon Sohn
in Proc. Global 3D Tech Forum, Oct. 2013. (Best Paper Award)

[C4] Disparity Search Range Estimation Based on Dense Stereo Matching


Ruei-Hung Li, Bumsub Ham, Changjae Oh, Kwanghoon Sohn
in Proc. IEEE Int. Conf. Industrial Electronics and Applications (ICIEA), Jun. 2013. (Best Paper Award)
[paper]

[C3] Probabilistic Correspondence Matching using Random Walk with Restart


Changjae Oh, Bumsub Ham, Kwanghoon Sohn
in British Machine Vis. Conf. (BMVC), Sep. 2012.
[paper]

[C2] Hybrid Approach for Accurate Depth Acquisition with Structured Light and Stereo Camera


Sunghwan Choi, Bumsub Ham, Changjae Oh, Hyon-gon Choo, Jinwoong Kim, Kwanghoon Sohn
in Proc. IEEE Int. Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jun. 2012.
[paper]

[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.