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Litu Rout
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2020 – today
- 2024
- [c14]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CVPR 2024: 9472-9481 - [i18]Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR abs/2405.17401 (2024) - [i17]Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. CoRR abs/2410.10792 (2024) - [i16]Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep P. Chinchali:
Constrained Posterior Sampling: Time Series Generation with Hard Constraints. CoRR abs/2410.12652 (2024) - 2023
- [c13]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT 2023: 89-160 - [c12]Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Minh Nguyen, Nhat Ho:
Hierarchical Sliced Wasserstein Distance. ICLR 2023 - [c11]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS 2023 - [i15]Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai:
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2302.01217 (2023) - [i14]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR abs/2302.06570 (2023) - [i13]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR abs/2307.00619 (2023) - [i12]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CoRR abs/2312.00852 (2023) - 2022
- [c10]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger
, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c9]Litu Rout, Alexander Korotin, Evgeny Burnaev:
Generative Modeling with Optimal Transport Maps. ICLR 2022 - [i11]Milena Gazdieva, Litu Rout, Alexander Korotin, Alexander Filippov, Evgeny Burnaev:
Unpaired Image Super-Resolution with Optimal Transport Maps. CoRR abs/2202.01116 (2022) - [i10]Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Nguyen, Nhat Ho:
Hierarchical Sliced Wasserstein Distance. CoRR abs/2209.13570 (2022) - 2021
- [c8]Litu Rout:
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability. AAAI 2021: 9436-9444 - [i9]Litu Rout, Alexander Korotin, Evgeny Burnaev:
Generative Modeling with Optimal Transport Maps. CoRR abs/2110.02999 (2021) - 2020
- [j1]Litu Rout
ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction. IEEE Trans. Geosci. Remote. Sens. 58(6): 4395-4405 (2020) - [c7]Litu Rout, Indranil Misra
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis. CVPR Workshops 2020: 727-736 - [c6]Litu Rout, Saumyaa Shah, S. Manthira Moorthi, Debajyoti Dhar:
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution. CVPR Workshops 2020: 757-767 - [i8]Litu Rout, Indranil Misra, S. Manthira Moorthi, Debajyoti Dhar:
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis. CoRR abs/2004.03867 (2020) - [i7]Litu Rout, Saumyaa Shah, S. Manthira Moorthi, Debajyoti Dhar:
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution. CoRR abs/2004.03879 (2020) - [i6]Litu Rout:
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability. CoRR abs/2010.00521 (2020) - [i5]Litu Rout:
Understanding the Role of Adversarial Regularization in Supervised Learning. CoRR abs/2010.00522 (2020)
2010 – 2019
- 2019
- [c5]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [i4]Litu Rout, Yatharath Bhateja, Ankur Garg, Indranil Mishra, S. Manthira Moorthi, Debajyoti Dhar:
DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. CoRR abs/1905.02749 (2019) - [i3]Litu Rout, Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. CoRR abs/1906.01551 (2019) - [i2]Litu Rout:
Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision? CoRR abs/1910.13993 (2019) - 2018
- [c4]Litu Rout
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. ACCV (2) 2018: 646-661 - [c3]Matej Kristan, Ales Leonardis, Jiri Matas
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c2]Litu Rout
WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking. ECCV Workshops (1) 2018: 83-99 - [c1]Litu Rout
Rotation Adaptive Visual Object Tracking with Motion Consistency. WACV 2018: 1047-1055 - 2017
- [i1]Litu Rout, Sidhartha, Gorthi R. K. S. S. Manyam, Deepak Mishra:
Rotation Adaptive Visual Object Tracking with Motion Consistency. CoRR abs/1709.06057 (2017)
Coauthor Index
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Gorthi R. K. S. S. Manyam
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