Search Results for author: Felix Heide

Found 41 papers, 17 papers with code

LiDAR Snowfall Simulation for Robust 3D Object Detection

1 code implementation28 Mar 2022 Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc van Gool

Due to the difficulty of collecting and annotating training data in this setting, we propose a physically based method to simulate the effect of snowfall on real clear-weather LiDAR point clouds.

3D Object Detection Autonomous Driving +1

All-photon Polarimetric Time-of-Flight Imaging

no code implementations17 Dec 2021 Seung-Hwan Baek, Felix Heide

Conventional ToF imaging methods estimate the depth by sending pulses of light into a scene and measuring the ToF of the first-arriving photons directly reflected from a scene surface without any temporal delay.

Autonomous Driving

All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines

no code implementations16 Dec 2021 Yuxuan Zhang, Bo Dong, Felix Heide

Various defense methods have proposed image-to-image mapping methods, either including these perturbations in the training process or removing them in a preprocessing denoising step.

Adversarial Defense Denoising +2

Gated2Gated: Self-Supervised Depth Estimation from Gated Images

1 code implementation4 Dec 2021 Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank Julca-Aguilar, Michael Langer, Werner Ritter, Felix Heide

Gated cameras hold promise as an alternative to scanning LiDAR sensors with high-resolution 3D depth that is robust to back-scatter in fog, snow, and rain.

Depth Estimation

Neural Point Light Fields

no code implementations2 Dec 2021 Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide

We introduce Neural Point Light Fields that represent scenes implicitly with a light field living on a sparse point cloud.

Novel View Synthesis

The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement

1 code implementation26 Nov 2021 Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Xuaner, Zhang, Jiawen Chen, Felix Heide

Modern smartphones can continuously stream multi-megapixel RGB images at 60Hz, synchronized with high-quality 3D pose information and low-resolution LiDAR-driven depth estimates.


Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display

no code implementations16 Sep 2021 Seung-Hwan Baek, Ethan Tseng, Andrew Maimone, Nathan Matsuda, Grace Kuo, Qiang Fu, Wolfgang Heidrich, Douglas Lanman, Felix Heide

Holographic displays can generate light fields by dynamically modulating the wavefront of a coherent beam of light using a spatial light modulator, promising rich virtual and augmented reality applications.

Polarimetric Spatio-Temporal Light Transport Probing

no code implementations25 May 2021 Seung-Hwan Baek, Felix Heide

This allows us, for the first time, to decompose scene light transport into temporal, spatial, and complete polarimetric dimensions that unveil scene properties hidden to conventional methods.

Metamerism Scene Understanding

Centimeter-Wave Free-Space Time-of-Flight Imaging

no code implementations25 May 2021 Seung-Hwan Baek, Noah Walsh, Ilya Chugunov, Zheng Shi, Felix Heide

In this work, we close this gap and propose a computational imaging method for all-optical free-space correlation before photo-conversion that achieves micron-scale depth resolution with robustness to surface reflectance and ambient light with conventional silicon intensity sensors.

Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis

1 code implementation28 Apr 2021 Julian Knodt, Joe Bartusek, Seung-Hwan Baek, Felix Heide

Recent neural rendering methods have demonstrated accurate view interpolation by predicting volumetric density and color with a neural network.

Neural Rendering

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media

1 code implementation CVPR 2021 Zheng Shi, Ethan Tseng, Mario Bijelic, Werner Ritter, Felix Heide

Most of today's supervised imaging and vision approaches, however, rely on training data collected in the real world that is biased towards good weather conditions, with dense fog, snow, and heavy rain as outliers in these datasets.

Autonomous Vehicles Decision Making +1

Adversarial Imaging Pipelines

no code implementations CVPR 2021 Buu Phan, Fahim Mannan, Felix Heide

As a result, optimized patterns can become adversarial for the classifier after being transformed by a certain camera ISP and optic but not for others.


Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo

no code implementations CVPR 2021 Seung-Hwan Baek, Felix Heide

Active stereo cameras that recover depth from structured light captures have become a cornerstone sensor modality for 3D scene reconstruction and understanding tasks across application domains.

3D Scene Reconstruction

Neural Scene Graphs for Dynamic Scenes

1 code implementation CVPR 2021 Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide

Recent implicit neural rendering methods have demonstrated that it is possible to learn accurate view synthesis for complex scenes by predicting their volumetric density and color supervised solely by a set of RGB images.

Neural Rendering

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

1 code implementation CVPR 2020 Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide

In this work, we depart from visible-wavelength approaches and demonstrate detection, classification, and tracking of hidden objects in large-scale dynamic environments using Doppler radars that can be manufactured at low-cost in series production.

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios

1 code implementation21 Jun 2019 Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer

This work introduces an evaluation benchmark for depth estimation and completion using high-resolution depth measurements with angular resolution of up to 25" (arcsecond), akin to a 50 megapixel camera with per-pixel depth available.

Depth Estimation

Defending Against Universal Attacks Through Selective Feature Regeneration

1 code implementation CVPR 2020 Tejas Borkar, Felix Heide, Lina Karam

Deep neural network (DNN) predictions have been shown to be vulnerable to carefully crafted adversarial perturbations.

Adversarial Defense

Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies

1 code implementation SIGGRAPH 2019 2019 Ethan Tseng, Felix Yu, Yuting Yang, Fahim Mannan, Karl St. Arnaud, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide

We present a fully automatic system to optimize the parameters of black-box hardware and software image processing pipelines according to any arbitrary (i. e., application-specific) metric.

Hyperparameter Optimization Image Denoising +2

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

1 code implementation CVPR 2020 Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, Felix Heide

The fusion of multimodal sensor streams, such as camera, lidar, and radar measurements, plays a critical role in object detection for autonomous vehicles, which base their decision making on these inputs.

Autonomous Vehicles Decision Making +1

Gated2Depth: Real-time Dense Lidar from Gated Images

2 code implementations ICCV 2019 Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide

The proposed replacement for scanning lidar systems is real-time, handles back-scatter and provides dense depth at long ranges.

Scene Understanding

DeepVoxels: Learning Persistent 3D Feature Embeddings

1 code implementation CVPR 2019 Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer

In this work, we address the lack of 3D understanding of generative neural networks by introducing a persistent 3D feature embedding for view synthesis.

3D Reconstruction Novel View Synthesis

Steady-state Non-Line-of-Sight Imaging

no code implementations CVPR 2019 Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide

Relying on consumer color image sensors, with high fill factor, high quantum efficiency and low read-out noise, we demonstrate high-fidelity color NLOS imaging for scene configurations tackled before with picosecond time resolution.

Convolutional Sparse Coding for High Dynamic Range Imaging

no code implementations13 Jun 2018 Ana Serrano, Felix Heide, Diego Gutierrez, Gordon Wetzstein, Belen Masia

Current HDR acquisition techniques are based on either (i) fusing multibracketed, low dynamic range (LDR) images, (ii) modifying existing hardware and capturing different exposures simultaneously with multiple sensors, or (iii) reconstructing a single image with spatially-varying pixel exposures.

Reconstructing Transient Images From Single-Photon Sensors

no code implementations CVPR 2017 Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein

Computer vision algorithms build on 2D images or 3D videos that capture dynamic events at the millisecond time scale.

Unrolled Optimization with Deep Priors

2 code implementations22 May 2017 Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein

A broad class of problems at the core of computational imaging, sensing, and low-level computer vision reduces to the inverse problem of extracting latent images that follow a prior distribution, from measurements taken under a known physical image formation model.

Deblurring Denoising

Snapshot Difference Imaging using Time-of-Flight Sensors

no code implementations19 May 2017 Clara Callenberg, Felix Heide, Gordon Wetzstein, Matthias Hullin

Computational photography encompasses a diversity of imaging techniques, but one of the core operations performed by many of them is to compute image differences.

Discriminative Transfer Learning for General Image Restoration

no code implementations27 Mar 2017 Lei Xiao, Felix Heide, Wolfgang Heidrich, Bernhard Schölkopf, Michael Hirsch

Recently, several discriminative learning approaches have been proposed for effective image restoration, achieving convincing trade-off between image quality and computational efficiency.

Deblurring Demosaicking +2

Dirty Pixels: Towards End-to-End Image Processing and Perception

1 code implementation23 Jan 2017 Steven Diamond, Vincent Sitzmann, Frank Julca-Aguilar, Stephen Boyd, Gordon Wetzstein, Felix Heide

As such, conventional imaging involves processing the RAW sensor measurements in a sequential pipeline of steps, such as demosaicking, denoising, deblurring, tone-mapping and compression.

Autonomous Driving Deblurring +9

Fast and Flexible Convolutional Sparse Coding

no code implementations CVPR 2015 Felix Heide, Wolfgang Heidrich, Gordon Wetzstein

Convolutional sparse coding (CSC) has become an increasingly important tool in machine learning and computer vision.

General Classification

Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors

no code implementations CVPR 2014 Felix Heide, Lei Xiao, Wolfgang Heidrich, Matthias B. Hullin

The functional difference between a diffuse wall and a mirror is well understood: one scatters back into all directions, and the other one preserves the directionality of reflected light.

3D Reconstruction

Stochastic Deconvolution

no code implementations CVPR 2013 James Gregson, Felix Heide, Matthias B. Hullin, Mushfiqur Rouf, Wolfgang Heidrich

We present a novel stochastic framework for non-blind deconvolution based on point samples obtained from random walks.

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