| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 914 | 2018 |
| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 510 | 2019 |
| Generative Modeling with Optimal Transport Maps L Rout, A Korotin, E Burnaev Proceedings of the International Conference on Learning Representations (ICLR), 2022 | 57 | 2022 |
| The tenth visual object tracking vot2022 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 431-460, 2022 | 30 | 2022 |
| Hierarchical sliced wasserstein distance K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho Proceedings of the International Conference on Learning Representations (ICLR), 2023 | 23 | 2023 |
| AN OPTIMAL TRANSPORT PERSPECTIVE ON UNPAIRED IMAGE SUPER-RESOLUTION M Gazdieva, L Rout, A Korotin, A Kravchenko, A Filippov, E Burnaev | 19* | 2022 |
| Beyond uniform smoothness: A stopped analysis of adaptive sgd M Faw, L Rout, C Caramanis, S Shakkottai The Thirty Sixth Annual Conference on Learning Theory (COLT), 89-160, 2023 | 17 | 2023 |
| S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis L Rout, I Misra, SM Moorthi, D Dhar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 17* | 2020 |
| Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models L Rout, N Raoof, G Daras, C Caramanis, AG Dimakis, S Shakkottai Advances in Neural Information Processing Systems 36 (NeurIPS), 2023 | 16 | 2023 |
| Rotation adaptive visual object tracking with motion consistency L Rout, D Mishra, RKSS Gorthi IEEE Winter Conference on Applications of Computer Vision (WACV), 1047-1055, 2018 | 13 | 2018 |
| A theoretical justification for image inpainting using denoising diffusion probabilistic models L Rout, A Parulekar, C Caramanis, S Shakkottai UT Austin Technical Report, 2023 | 9 | 2023 |
| Phobos image enhancement using unpaired multi-frame acquisitions from Indian Mars Color Camera I Misra, L Rout, S Arya, Y Bhateja, SM Moorthi, D Dhar Planetary and Space Science 201, 105215, 2021 | 9 | 2021 |
| ALERT: Adversarial Learning with Expert Regularization using Tikhonov Operator for Missing Band Reconstruction L Rout IEEE Transactions on Geoscience and Remote Sensing, 2020 | 8 | 2020 |
| Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution L Rout, S Shah, SM Moorthi, D Dhar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
| WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking L Rout, D Mishra, RKSS Gorthi Proceedings of the European Conference on Computer Vision (ECCV) Workshops …, 2018 | 5 | 2018 |
| Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking L Rout, PM Raju, D Mishra, RKSS Gorthi Asian Conference on Computer Vision (ACCV), 646-661, 2018 | 3 | 2018 |
| Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion L Rout, Y Chen, A Kumar, C Caramanis, S Shakkottai, WS Chu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 2 | 2024 |
| Understanding the Role of Adversarial Regularization in Supervised Learning L Rout Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 2 | 2021 |
| Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability L Rout Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9436-9444, 2021 | 1 | 2021 |
| Application of image enhancement and mixture of Gaussian approach in combustion research L Rout, R Sadanandan, D Mishra Sādhanā 44 (5), 114, 2019 | 1 | 2019 |
Alexander KorotinSkoltech, AIRIVerified email at skoltech.ru
