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Research
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Journal Articles
2018
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Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform , In , 2018. ([arxiv])
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LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution , In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes])
Conference and Workshop Papers
2024
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ControlRoom3D: Room Generation using Semantic Proxy Rooms , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
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Cache Me if You Can: Accelerating Diffusion Models through Block Caching , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. ([project page])
2022
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De-rendering 3D Objects in the Wild , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
2021
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Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions , In International Conference on Intelligent Robots and Systems (IROS), 2021. ([code][video])
2020
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Distributed Photometric Bundle Adjustment , In International Conference on 3D Vision (3DV), 2020. ([project page][code])
Oral Presentation [] 
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. ([code])
2019
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Informative GANs via Structured Regularization of Optimal Transport , In NeurIPS Workshop on Optimal Transport and Machine Learning, 2019.
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Optimization of Inf-Convolution Regularized Nonconvex Composite Problems , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
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Variational Uncalibrated Photometric Stereo under General Lighting , In IEEE/CVF International Conference on Computer Vision (ICCV), 2019. ([supp] [poster] [matlab] [python] [cvf])
[] Shape Correspondence with Isometric and Non-Isometric Deformations , In 12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019 (S Biasotti, G Lavoué, RC. Veltkamp, eds.), Eurographics Association, 2019.
2018
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Combinatorial Preconditioners for Proximal Algorithms on Graphs , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
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A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
2017
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A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([codes])
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Semi-Calibrated Near-Light Photometric Stereo , In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. ([codes])
Teaching
WS18/19: Convex Optimization for Machine Learning and Computer Vision (IN2330)
2018 DTU/DIKU Summer School: Proximal Algorithms in Vision and Learning course materials
SS18: Convex Optimization for Machine Learning and Computer Vision (IN2330)
SS17: Convex Optimization for Machine Learning and Computer Vision (IN2330)
To master students: Welcome to contact me if you are interested in thesis projects related to computational challenges in computer vision and machine learning.
