Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. - Litu Rout; Priya Mariam Raju; Deepak Mishra 002; Rama Krishna Sai Subrahmanyam Gorthi (ACCV (2), 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking. - Litu Rout; Deepak Mishra 002; Rama Krishna Sai Subrahmanyam Gorthi (ECCV Workshops (1), 2018)

Rotation Adaptive Visual Object Tracking with Motion Consistency. - Litu Rout; Sidhartha; Deepak Mishra 002; Rama Krishna Sai Subrahmanyam Gorthi (WACV, 2018)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. - Litu Rout; Yatharath Bhateja; Ankur Garg; Indranil Mishra; S. Manthira Moorthi; Debajyoti Dhar (CoRR, 2019)

Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision? - Litu Rout (CoRR, 2019)

S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis. - Litu Rout; Indranil Misra; S. Manthira Moorthi; Debajyoti Dhar (CVPR Workshops, 2020)

Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution. - Litu Rout; Saumyaa Shah; S. Manthira Moorthi; Debajyoti Dhar (CVPR Workshops, 2020)

Understanding the Role of Adversarial Regularization in Supervised Learning. - Litu Rout (CoRR, 2020)

ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction. - Litu Rout (IEEE Trans. Geosci. Remote. Sens., 2020)

Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability. - Litu Rout (AAAI, 2021)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - 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; et al. (ECCV Workshops (8), 2022)

Generative Modeling with Optimal Transport Maps. - Litu Rout; Alexander Korotin; Evgeny Burnaev (ICLR, 2022)

Unpaired Image Super-Resolution with Optimal Transport Maps. - Milena Gazdieva; Litu Rout; Alexander Korotin; Alexander Filippov; Evgeny Burnaev (CoRR, 2022)

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. - Matthew Faw; Litu Rout; Constantine Caramanis; Sanjay Shakkottai (COLT, 2023)

Hierarchical Sliced Wasserstein Distance. - Khai Nguyen; Tongzheng Ren; Huy Nguyen; Litu Rout; Tan Nguyen; Nhat Ho (ICLR, 2023)

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. - Litu Rout; Negin Raoof; Giannis Daras; Constantine Caramanis; Alex Dimakis; Sanjay Shakkottai (NeurIPS, 2023)

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. - Litu Rout; Advait Parulekar; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2023)

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. - Litu Rout; Yujia Chen 001; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CVPR, 2024)

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CoRR, 2024)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints. - Sai Shankar Narasimhan; Shubhankar Agarwal; Litu Rout; Sanjay Shakkottai; Sandeep P. Chinchali (CoRR, 2024)

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. - Negin Raoof; Litu Rout; Giannis Daras; Sujay Sanghavi; Constantine Caramanis; Sanjay Shakkottai; Alex Dimakis (ICLR, 2025)

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

RB-Modulation: Training-Free Stylization using Reference-Based Modulation. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

Anchored Diffusion Language Model. - Litu Rout; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2025)

Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo. - Advait Parulekar; Litu Rout; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2025)

An Optimal Transport Perspective on Unpaired Image Super-Resolution. - Milena Gazdieva; Petr Mokrov; Litu Rout; Alexander Korotin; Andrey Kravchenko; Alexander Filippov; Evgeny Burnaev (J. Optim. Theory Appl., 2025)