Alex Levinshtein

47 papers A* 5A 4Journal 24Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration. CoRR Amirhossein Kazerouni, Maitreya Suin, Tristan Aumentado-Armstrong, Sina Honari, Amanpreet Walia, Iqbal Mohomed, Konstantinos G. Derpanis, Babak Taati, Alex Levinshtein
2026	J	`jnl`	RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution. CoRR Ali Mosleh, Faraz Ali, Fengjia Zhang, Stavros Tsogkas, Junyong Lee, Alex Levinshtein, Michael S. Brown
2025	A*	`conf`	Augmenting Perceptual Super-Resolution via Image Quality Predictors. CVPR Fengjia Zhang, Samrudhdhi B. Rangrej, Tristan Aumentado-Armstrong, Afsaneh Fazly, Alex Levinshtein
2025	J	`jnl`	Augmenting Perceptual Super-Resolution via Image Quality Predictors. CoRR Fengjia Zhang, Samrudhdhi B. Rangrej, Tristan Aumentado-Armstrong, Afsaneh Fazly, Alex Levinshtein
2025	J	`jnl`	Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution. CoRR Weiming Ren, Raghav Goyal, Zhiming Hu, Tristan Aumentado-Armstrong, Iqbal Mohomed, Alex Levinshtein
2025	J	`jnl`	Qonvolution: Towards Learning High-Frequency Signals with Queried Convolution. CoRR Abhinav Kumar, Tristan Aumentado-Armstrong, Lazar Valkov, Gopal Sharma, Alex Levinshtein, Radek Grzeszczuk, Suren Kumar
2025	A	`conf`	Towards Unsupervised Blind Face Restoration Using Diffusion Prior. WACV Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein
2024	J	`jnl`	Towards Unsupervised Blind Face Restoration using Diffusion Prior. CoRR Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein
2024	—	`conf`	Watch Your Steps: Local Image and Scene Editing by Text Instructions. ECCV (38) Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	J	`jnl`	Dual-Camera Joint Deblurring-Denoising. CoRR Shayan Shekarforoush, Amanpreet Walia, Marcus A. Brubaker, Konstantinos G. Derpanis, Alex Levinshtein
2023	A	`conf`	Efficient Flow-Guided Multi-frame De-fencing. WACV Stavros Tsogkas, Fengjia Zhang, Allan D. Jepson, Alex Levinshtein
2023	J	`jnl`	Efficient Flow-Guided Multi-frame De-fencing. CoRR Stavros Tsogkas, Fengjia Zhang, Allan D. Jepson, Alex Levinshtein
2023	J	`jnl`	Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	A*	`conf`	Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	J	`jnl`	Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	A*	`conf`	SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2023	J	`jnl`	Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2022	A*	`conf`	Day-to-Night Image Synthesis for Training Nighttime Neural ISPs. CVPR Abhijith Punnappurath, Abdullah Abuolaim, Abdelrahman Abdelhamed, Alex Levinshtein, Michael S. Brown
2022	J	`jnl`	Day-to-Night Image Synthesis for Training Nighttime Neural ISPs. CoRR Abhijith Punnappurath, Abdullah Abuolaim, Abdelrahman Abdelhamed, Alex Levinshtein, Michael S. Brown
2022	A	`conf`	GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. WACV Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein
2022	J	`jnl`	SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2021	J	`jnl`	GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. CoRR Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein
2020	—	`conf`	AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
2020	J	`jnl`	AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
2020	—	`conf`	Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. 3DV Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
2020	J	`jnl`	Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. CoRR Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
2020	A	`conf`	DATNet: Dense Auxiliary Tasks for Object Detection. WACV Alex Levinshtein, Alborz Rezazadeh Sereshkeh, Konstantinos G. Derpanis
2020	—	`conf`	Efficient Super-Resolution Using MobileNetV3. ECCV Workshops (3) Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson
2018	J	`jnl`	Hybrid eye center localization using cascaded regression and hand-crafted model fitting. Image Vis. Comput. Alex Levinshtein, Edmund Phung, Parham Aarabi
2018	—	`conf`	Real-Time Deep Hair Matting on Mobile Devices. CRV Alex Levinshtein, Cheng Chang, Edmund Phung, Irina Kezele, Wenzhangzhi Guo, Parham Aarabi
2017	J	`jnl`	Hybrid eye center localization using cascaded regression and hand-crafted model fitting. CoRR Alex Levinshtein, Edmund Phung, Parham Aarabi
2017	—	`conf`	Hybrid eye center localization using cascaded regression and robust circle fitting. GlobalSIP Alex Levinshtein, Edmund Phung, Parham Aarabi
2017	J	`jnl`	Real-time deep hair matting on mobile devices. CoRR Alex Levinshtein, Cheng Chang, Edmund Phung, Irina Kezele, Wenzhangzhi Guo, Parham Aarabi
2015	J	`jnl`	A Framework for Symmetric Part Detection in Cluttered Scenes. CoRR Tom Sie Ho Lee, Sanja Fidler, Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson
2015	J	`jnl`	A Framework for Symmetric Part Detection in Cluttered Scenes. Symmetry Tom Sie Ho Lee, Sanja Fidler, Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson
2014	—	`conf`	Automatic learning-based selection of beam angles in radiation therapy of lung cancer. ISBI Guy Amit, Thomas G. Purdie, Alex Levinshtein, Andrew Hope, Patricia Lindsay, David A. Jaffray, Vladimir Pekar
2013	J	`jnl`	Multiscale Symmetric Part Detection and Grouping. Int. J. Comput. Vis. Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson
2013	—	`ch.`	The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction. Shape Perception in Human and Computer Vision Sven J. Dickinson, Alex Levinshtein, Pablo Sala, Cristian Sminchisescu
2012	—	`conf`	Learning Categorical Shape from Captioned Images. CRV Tom Sie Ho Lee, Sanja Fidler, Alex Levinshtein, Sven J. Dickinson
2012	J	`jnl`	Optimal Image and Video Closure by Superpixel Grouping. Int. J. Comput. Vis. Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson
2012	—	`conf`	Perceptual Grouping Using Superpixels. MCPR Sven J. Dickinson, Alex Levinshtein, Cristian Sminchisescu
2011	—	`—`	Low and Mid-level Shape Priors for Image Segmentation. Alex Levinshtein
2010	—	`conf`	Optimal Contour Closure by Superpixel Grouping. ECCV (2) Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson
2010	—	`conf`	Spatiotemporal Closure. ACCV (1) Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson
2009	A*	`conf`	Multiscale symmetric part detection and grouping. ICCV Alex Levinshtein, Sven J. Dickinson, Cristian Sminchisescu
2009	J	`jnl`	TurboPixels: Fast Superpixels Using Geometric Flows. IEEE Trans. Pattern Anal. Mach. Intell. Alex Levinshtein, Adrian Stere, Kiriakos N. Kutulakos, David J. Fleet, Sven J. Dickinson, Kaleem Siddiqi
2005	—	`conf`	Learning Hierarchical Shape Models from Examples. EMMCVPR Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson