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ORCIDSabine Süsstrunk
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
[j28]Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation. Trans. Mach. Learn. Res. 2024 (2024)- [j27]Ehsan Pajouheshgar
, Yitao Xu, Alexander Mordvintsev, Eyvind Niklasson, Tong Zhang, Sabine Süsstrunk:
Mesh Neural Cellular Automata. ACM Trans. Graph. 43(4): 122:1-122:16 (2024) - [c178]Dongqing Wang, Tong Zhang, Alaa Abboud, Sabine Süsstrunk:
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360° Neural Radiance Fields. CVPR 2024: 12677-12686 - [c177]Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann:
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange. CVPR 2024: 23052-23061 - [c176]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. ECCV (78) 2024: 360-377 - [c175]Sabine Süsstrunk, Ashok Veeraraghavan, Roarke Horstmeyer, Wolfgang Heidrich:
Message from the Chairs. ICCP 2024: x-xii - [c174]Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk:
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. ICLR 2024 - [c173]Martin Nicolas Everaert, Athanasios Fitsios, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta:
Exploiting the Signal-Leak Bias in Diffusion Models. WACV 2024: 4013-4022 - [i63]Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation. CoRR abs/2403.06546 (2024) - [i62]Ehsan Pajouheshgar, Yitao Xu, Sabine Süsstrunk:
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata. CoRR abs/2404.06279 (2024) - [i61]Yitao Xu, Ehsan Pajouheshgar, Sabine Süsstrunk:
Emergent Dynamics in Neural Cellular Automata. CoRR abs/2404.06406 (2024) - [i60]Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann:
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange. CoRR abs/2404.07504 (2024) - [i59]Yitao Xu, Tong Zhang, Sabine Süsstrunk:
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer. CoRR abs/2406.08298 (2024) - [i58]Lingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Coherent and Multi-modality Image Inpainting via Latent Space Optimization. CoRR abs/2407.08019 (2024) - [i57]Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann:
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. CoRR abs/2407.08659 (2024) - [i56]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. CoRR abs/2409.07307 (2024) - [i55]Peter Grönquist, Deblina Bhattacharjee, Bahar Aydemir, Baran Ozaydin, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Unlocking Comics: The AI4VA Dataset for Visual Understanding. CoRR abs/2410.20459 (2024) - 2023
- [j26]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training With Adaptive Step Size. IEEE Trans. Image Process. 32: 6102-6114 (2023) - [j25]Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
Training Provably Robust Models by Polyhedral Envelope Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3146-3160 (2023) - [c172]Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta:
VETIM: Expanding the Vocabulary of Text-to-Image Models only with Text. BMVC 2023: 16-17 - [c171]Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild. CVPR 2023: 5251-5260 - [c170]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Dense Multitask Learning to Reconfigure Comics. CVPR Workshops 2023: 5646-5655 - [c169]Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CVPR 2023: 6461-6470 - [c168]Yufan Ren, Fangjinhua Wang, Tong Zhang, Marc Pollefeys, Sabine Süsstrunk:
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction. CVPR 2023: 16685-16695 - [c167]Ehsan Pajouheshgar, Yitao Xu, Tong Zhang, Sabine Süsstrunk:
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata. CVPR 2023: 20742-20751 - [c166]Dongqing Wang, Tong Zhang, Sabine Süsstrunk:
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects. ICCV 2023: 317-327 - [c165]Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta:
Diffusion in Style. ICCV 2023: 2251-2261 - [c164]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Vision Transformer Adapters for Generalizable Multitask Learning. ICCV 2023: 18969-18980 - [c163]Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk:
Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks. ICML 2023: 15089-15104 - [i54]Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CoRR abs/2301.02315 (2023) - [i53]Dongqing Wang, Tong Zhang, Sabine Süsstrunk:
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects. CoRR abs/2303.11963 (2023) - [i52]Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. CoRR abs/2303.16235 (2023) - [i51]Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk:
De-coupling and De-positioning Dense Self-supervised Learning. CoRR abs/2303.16947 (2023) - [i50]Dongqing Wang, Tong Zhang, Alaa Abboud, Sabine Süsstrunk:
InpaintNeRF360: Text-Guided 3D Inpainting on Unbounded Neural Radiance Fields. CoRR abs/2305.15094 (2023) - [i49]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Dense Multitask Learning to Reconfigure Comics. CoRR abs/2307.08071 (2023) - [i48]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Vision Transformer Adapters for Generalizable Multitask Learning. CoRR abs/2308.12372 (2023) - [i47]Martin Nicolas Everaert, Athanasios Fitsios, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta:
Exploiting the Signal-Leak Bias in Diffusion Models. CoRR abs/2309.15842 (2023) - [i46]Ehsan Pajouheshgar, Yitao Xu, Alexander Mordvintsev, Eyvind Niklasson, Tong Zhang, Sabine Süsstrunk:
Mesh Neural Cellular Automata. CoRR abs/2311.02820 (2023) - [i45]Peter Grönquist, Yufan Ren, Qingyi He, Alessio Verardo, Sabine Süsstrunk:
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors. CoRR abs/2311.10788 (2023) - [i44]Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann:
DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration. CoRR abs/2312.03053 (2023) - 2022
- [j24]Nicolas Bähler, Majed El Helou, Étienne Objois, Kaan Okumus, Sabine Süsstrunk:
PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples. IEEE Signal Process. Lett. 29: 2602-2606 (2022) - [j23]Majed El Helou, Sabine Süsstrunk:
BIGPrior: Toward Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration. IEEE Trans. Image Process. 31: 1628-1640 (2022) - [j22]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. Trans. Mach. Learn. Res. 2022 (2022) - [c162]Qiyuan Liang, Florian Cassayre, Haley Owsianko, Majed El Helou, Sabine Süsstrunk:
Image Denoising with Control over Deep Network Hallucination. Computational Imaging 2022: 1-6 - [c161]Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
MuIT: An End-to-End Multitask Learning Transformer. CVPR 2022: 12021-12031 - [c160]Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR 2022: 16559-16568 - [c159]Xiaoyu Lin, Baran Ozaydin, Vidit Vidit, Majed El Helou, Sabine Süsstrunk:
DSR: Towards Drone Image Super-Resolution. ECCV Workshops (2) 2022: 361-377 - [c158]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. ECCV (31) 2022: 665-680 - [c157]Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk:
Optimizing Latent Space Directions for Gan-Based Local Image Editing. ICASSP 2022: 1740-1744 - [c156]Hak Gu Kim, Davide Nanni, Sabine Süsstrunk:
Natural-Looking Adversarial Examples from Freehand Sketches. ICASSP 2022: 3723-3727 - [c155]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. NeurIPS 2022 - [c154]Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. WACV 2022: 1111-1120 - [i43]Qiyuan Liang, Florian Cassayre, Haley Owsianko, Majed El Helou, Sabine Süsstrunk:
Image Denoising with Control over Deep Network Hallucination. CoRR abs/2201.00429 (2022) - [i42]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. CoRR abs/2202.01341 (2022) - [i41]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. CoRR abs/2203.03949 (2022) - [i40]Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR abs/2203.17205 (2022) - [i39]Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
MulT: An End-to-End Multitask Learning Transformer. CoRR abs/2205.08303 (2022) - [i38]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training with Adaptive Step Size. CoRR abs/2206.02417 (2022) - [i37]Xiaoyu Lin, Baran Ozaydin, Vidit Vidit, Majed El Helou, Sabine Süsstrunk:
DSR: Towards Drone Image Super-Resolution. CoRR abs/2208.12327 (2022) - [i36]Nicolas Bähler, Majed El Helou, Étienne Objois, Kaan Okumus, Sabine Süsstrunk:
PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples. CoRR abs/2210.04866 (2022) - [i35]Ehsan Pajouheshgar, Yitao Xu, Tong Zhang, Sabine Süsstrunk:
DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata. CoRR abs/2211.11417 (2022) - [i34]Yufan Ren, Fangjinhua Wang, Tong Zhang, Marc Pollefeys, Sabine Süsstrunk:
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction. CoRR abs/2212.08067 (2022) - [i33]Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
DSI2I: Dense Style for Unpaired Image-to-Image Translation. CoRR abs/2212.13253 (2022) - 2021
- [j21]Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou, Sabine Süsstrunk:
Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks. IEEE Signal Process. Lett. 28: 1719-1723 (2021) - [c153]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. CVPR Workshops 2021: 566-577 - [c152]Marjan Shahpaski, Luis Ricardo Sapaico, Sabine Süsstrunk:
Surface roughness estimation using structured light projection. Material Appearance 2021: 1-7 - [c151]Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine Süsstrunk:
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion. ICIP 2021: 1629-1633 - [c150]Imad Eddine Marouf, Luca Barras, Hakki Can Karaimer, Sabine Süsstrunk:
Joint Unsupervised Infrared-RGB Video Registration and Fusion. LIM 2021: 38-42 - [e10]Steffen Hölldobler, Sven Apel, Abraham Bernstein, Felix C. Freiling, Hans-Peter Lenhof, Gustaf Neumann, Rüdiger Reischuk, Kay Uwe Römer, Björn Scheuermann, Nicole Schweikardt, Myra Spiliopoulou, Sabine Süsstrunk, Klaus Wehrle:
Ausgezeichnete Informatikdissertationen 2020. LNI D-21, GI 2021, ISBN 978-3-88579-775-3 [contents] - [i32]Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine Süsstrunk:
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion. CoRR abs/2101.04631 (2021) - [i31]Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. CoRR abs/2104.03864 (2021) - [i30]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. CoRR abs/2104.13365 (2021) - [i29]Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou, Sabine Süsstrunk:
Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks. CoRR abs/2106.00673 (2021) - [i28]Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. CoRR abs/2110.03575 (2021) - [i27]Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk:
Optimizing Latent Space Directions For GAN-based Local Image Editing. CoRR abs/2111.12583 (2021) - [i26]Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk:
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. CoRR abs/2112.07324 (2021) - 2020
- [j20]Gökhan Yildirim, Debashis Sen, Mohan S. Kankanhalli, Sabine Süsstrunk:
Evaluating salient object detection in natural images with multiple objects having multi-level saliency. IET Image Process. 14(10): 2249-2262 (2020) - [j19]Majed El Helou, Sabine Süsstrunk:
Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning. IEEE Trans. Image Process. 29: 4885-4897 (2020) - [c149]Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. CVPR 2020: 5770-5779 - [c148]Ruofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk:
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping. ECCV Workshops (1) 2020: 474-491 - [c147]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518 - [c146]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. ECCV (28) 2020: 561-578 - [c145]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk:
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks. ECCV (16) 2020: 749-766 - [c144]Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. ICASSP 2020: 4007-4011 - [c143]Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk:
Divergence-Based Adaptive Extreme Video Completion. ICASSP 2020: 9259-9263 - [c142]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. NeurIPS 2020 - [c141]Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. VISIGRAPP (4: VISAPP) 2020: 85-92 - [e9]Steffen Hölldobler, Sven Apel, Abraham Bernstein, Felix C. Freiling, Hans-Peter Lenhof, Gustaf Neumann, Rüdiger Reischuk, Kay Uwe Römer, Björn Scheuermann, Nicole Schweikardt, Myra Spiliopoulou, Sabine Süsstrunk, Klaus Wehrle:
Ausgezeichnete Informatikdissertationen 2019. LNI D-20, GI 2020, ISBN 978-3-88579-775-3 [contents] - [d1]Ruofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk:
W2S: Widefield2SIM Raw Dataset. Zenodo, 2020
- [i25]Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. CoRR abs/2003.03633 (2020) - [i24]Ruofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk:
W2S: A Joint Denoising and Super-Resolution Dataset. CoRR abs/2003.05961 (2020) - [i23]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk:
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks. CoRR abs/2003.07119 (2020) - [i22]Gökhan Yildirim, Debashis Sen, Mohan S. Kankanhalli, Sabine Süsstrunk:
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency. CoRR abs/2003.08514 (2020) - [i21]Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk:
Divergence-Based Adaptive Extreme Video Completion. CoRR abs/2004.06409 (2020) - [i20]Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. CoRR abs/2004.14367 (2020) - [i19]Majed El Helou, Ruofan Zhou, Johan Barthas, Sabine Süsstrunk:
VIDIT: Virtual Image Dataset for Illumination Transfer. CoRR abs/2005.05460 (2020) - [i18]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. CoRR abs/2006.08403 (2020) - [i17]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. CoRR abs/2007.09433 (2020) - [i16]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020) - [i15]Majed El Helou, Sabine Süsstrunk:
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration. CoRR abs/2011.01406 (2020)
2010 – 2019
- 2019
- [j18]Daniel Heydecker, Georg Maierhofer, Angelica I. Avilés-Rivero, Qingnan Fan, Dongdong Chen, Carola-Bibiane Schönlieb, Sabine Süsstrunk:
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. IEEE Trans. Image Process. 28(12): 6185-6197 (2019) - [c140]Ruofan Zhou, Fayez Lahoud, Majed El Helou, Sabine Süsstrunk:
A comparative study on wavelets and residuals in deep super resolution. Computational Imaging 2019 - [c139]Marjan Shahpaski, Luis Ricardo Sapaico, Sabine Süsstrunk:
Comparative analysis of transmittance measurement geometries and apparatus. Material Appearance 2019: 1-7 - [c138]Fayez Lahoud, Sabine Süsstrunk:
AR in VR: Simulating augmented reality glass for image fusion. ERVR 2019 - [c137]Fayez Lahoud, Sabine Süsstrunk:
Zero-Learning Fast Medical Image Fusion. FUSION 2019: 1-8 - [c136]Ruofan Zhou, Sabine Süsstrunk:
Kernel Modeling Super-Resolution on Real Low-Resolution Images. ICCV 2019: 2433-2443 - [c135]Edo Collins, Sabine Süsstrunk:
Deep Feature Factorization for Content-Based Image Retrieval and Localization. ICIP 2019: 874-878 - [c134]Siavash Arjomand Bigdeli, Sabine Süsstrunk:
Deep Semantic Segmentation Using Nir as Extra Physical Information. ICIP 2019: 2439-2443 - [e8]Sven Apel, Abraham Bernstein, Felix C. Freiling, Steffen Hölldobler, Hans-Peter Lenhof, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Björn Scheuermann, Nicole Schweikardt, Myra Spiliopoulou, Sabine Süsstrunk, Klaus Wehrle:
Ausgezeichnete Informatikdissertationen 2018. LNI D-19, GI 2019, ISBN 978-3-88579-977-1 [contents] - [i14]Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk:
Self-Binarizing Networks. CoRR abs/1902.00730 (2019) - [i13]Fayez Lahoud, Sabine Süsstrunk:
Fast and Efficient Zero-Learning Image Fusion. CoRR abs/1905.03590 (2019) - [i12]Xiaoyan Zou, Ruofan Zhou, Majed El Helou, Sabine Süsstrunk:
Drone Shadow Tracking. CoRR abs/1905.08214 (2019) - [i11]Majed El Helou, Sabine Süsstrunk:
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning. CoRR abs/1907.03029 (2019) - [i10]Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
On Certifying Robust Models by Polyhedral Envelope. CoRR abs/1912.04792 (2019) - [i9]Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. CoRR abs/1912.09299 (2019) - 2018
- [c133]Frederike Dümbgen, Majed El Helou, Natalija Gucevska, Sabine Süsstrunk:
Near-Infrared Fusion for Photorealistic Image Dehazing. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2018: 1-5 - [c132]Fayez Lahoud, Ruofan Zhou, Sabine Süsstrunk:
Multi-modal Spectral Image Super-Resolution. ECCV Workshops (5) 2018: 35-50 - [c131]Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk:
Deep Feature Factorization for Concept Discovery. ECCV (14) 2018: 352-368 - [c130]Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 2018: 356-371 - [c129]