Litu Rout

Orcid: 0000-0002-5054-5899

According to our database1, Litu Rout authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.
CoRR, 2024

2023
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion.
CoRR, 2023

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models.
CoRR, 2023

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Sliced Wasserstein Distance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Hierarchical Sliced Wasserstein Distance.
CoRR, 2022

Unpaired Image Super-Resolution with Optimal Transport Maps.
CoRR, 2022

Generative Modeling with Optimal Transport Maps.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Understanding the Role of Adversarial Regularization in Supervised Learning.
CoRR, 2020

Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision?
CoRR, 2019

DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets.
CoRR, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Rotation Adaptive Visual Object Tracking with Motion Consistency.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking.
Proceedings of the Computer Vision - ACCV 2018, 2018


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