Charles Herrmann

Orcid: 0000-0002-9576-9394

According to our database1, Charles Herrmann authored at least 31 papers between 2012 and 2024.

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Bibliography

2024
Lumiere: A Space-Time Diffusion Model for Video Generation.
CoRR, 2024

Boundary Attention: Learning to Find Faint Boundaries at Any Resolution.
CoRR, 2024

2023
Efficient Hybrid Zoom Using Camera Fusion on Mobile Phones.
ACM Trans. Graph., December, 2023

Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model.
CoRR, 2023

WonderJourney: Going from Anywhere to Everywhere.
CoRR, 2023

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.
CoRR, 2023

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence.
CoRR, 2023

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image.
CoRR, 2023

Substance or Style: What Does Your Image Embedding Know?
CoRR, 2023

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VQ3D: Learning a 3D-Aware Generative Model on ImageNet.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accidental Light Probes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-supervised AutoFlow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
What Makes RAFT Better Than PWC-Net?
CoRR, 2022

Disentangling Architecture and Training for Optical Flow.
Proceedings of the Computer Vision - ECCV 2022, 2022

Pyramid Adversarial Training Improves ViT Performance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


2021
TEACHING OLD COMPUTER VISION ALGORITHMS NEW TRICKS WITH MACHINE LEARNING.
PhD thesis, 2021

Deep survival analysis with longitudinal X-rays for COVID-19.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AutoFlow: Learning a Better Training Set for Optical Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

OCONet: Image Extrapolation by Object Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Channel Selection Using Gumbel Softmax.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Autofocus.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Project Vulture: A Prototype for Using Drones in Search and Rescue Operations.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2018
Deep networks with probabilistic gates.
CoRR, 2018

Object-Centered Image Stitching.
Proceedings of the Computer Vision - ECCV 2018, 2018

Robust Image Stitching with Multiple Registrations.
Proceedings of the Computer Vision - ECCV 2018, 2018

PETALS: Improving Learning of Expert Skill in Humanitarian Demining.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2017
A Discriminative View of MRF Pre-processing Algorithms.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2012
Accurate measurements of pointing performance from in situ observations.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012


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