b'Felix Heide'

research

∙ 08/25/2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation

Permutation matrices play a key role in matching and assignment problems...

0 Hannah Dröge, et al. ∙

research

∙ 08/07/2023

Spatially Varying Nanophotonic Neural Networks

The explosive growth of computation and energy cost of artificial intell...

0 Kaixuan Wei, et al. ∙

research

∙ 08/05/2023

Thin On-Sensor Nanophotonic Array Cameras

Today's commodity camera systems rely on compound optics to map light or...

0 Praneeth Chakravarthula, et al. ∙

research

∙ 07/12/2023

Stochastic Light Field Holography

The Visual Turing Test is the ultimate goal to evaluate the realism of h...

0 Florian Schiffers, et al. ∙

research

∙ 05/22/2023

Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues

We propose Gated Stereo, a high-resolution and long-range depth estimati...

0 Stefanie Walz, et al. ∙

research

∙ 05/17/2023

S^3Track: Self-supervised Tracking with Soft Assignment Flow

In this work, we study self-supervised multiple object tracking without ...

0 Fatemeh Azimi, et al. ∙

research

∙ 05/03/2023

ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering

Vision in adverse weather conditions, whether it be snow, rain, or fog i...

0 Andrea Ramazzina, et al. ∙

research

∙ 04/27/2023

Instance Segmentation in the Dark

Existing instance segmentation techniques are primarily tailored for hig...

0 Linwei Chen, et al. ∙

research

∙ 12/22/2022

Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography

Modern mobile burst photography pipelines capture and merge a short sequ...

0 Ilya Chugunov, et al. ∙

research

∙ 12/09/2022

Neural Volume Super-Resolution

Neural volumetric representations have become a widely adopted model for...

0 Yuval Bahat, et al. ∙

research

∙ 12/08/2022

The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection

Most camera lens systems are designed in isolation, separately from down...

0 Geoffroi Côté, et al. ∙

research

∙ 11/24/2022

DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions

Probabilistic diffusion models have achieved state-of-the-art results fo...

0 Gene Chou, et al. ∙

research

∙ 06/09/2022

Biologically Inspired Dynamic Thresholds for Spiking Neural Networks

The dynamic membrane potential threshold, as one of the essential proper...

0 Jianchuan Ding, et al. ∙

research

∙ 06/06/2022

GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions

We investigate the generalization capabilities of neural signed distance...

0 Gene Chou, et al. ∙

research

∙ 05/28/2022

Differentiable Point-Based Radiance Fields for Efficient View Synthesis

We propose a differentiable rendering algorithm for efficient novel view...

0 Qiang Zhang, et al. ∙

research

∙ 03/28/2022

LiDAR Snowfall Simulation for Robust 3D Object Detection

3D object detection is a central task for applications such as autonomou...

0 Martin Hahner, et al. ∙

research

∙ 03/28/2022

Pupil-aware Holography

Holographic displays promise to deliver unprecedented display capabiliti...

0 Praneeth Chakravarthula, et al. ∙

research

∙ 12/17/2021

All-photon Polarimetric Time-of-Flight Imaging

Time-of-flight (ToF) sensors provide an imaging modality fueling diverse...

0 Seung-Hwan Baek, et al. ∙

research

∙ 12/16/2021

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

Existing neural networks for computer vision tasks are vulnerable to adv...

0 Yuxuan Zhang, et al. ∙

research

∙ 12/04/2021

Gated2Gated: Self-Supervised Depth Estimation from Gated Images

Gated cameras hold promise as an alternative to scanning LiDAR sensors w...

0 Amanpreet Walia, et al. ∙

research

∙ 12/02/2021

Neural Point Light Fields

We introduce Neural Point Light Fields that represent scenes implicitly ...

2 Julian Ost, et al. ∙

research

∙ 11/26/2021

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

Modern smartphones can continuously stream multi-megapixel RGB images at...

11 Ilya Chugunov, et al. ∙

research

∙ 09/16/2021

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

Holographic displays can generate light fields by dynamically modulating...

0 Seung-Hwan Baek, et al. ∙

research

∙ 05/25/2021

Polarimetric Spatio-Temporal Light Transport Probing

Light can undergo complex interactions with multiple scene surfaces of d...

5 Seung-Hwan Baek, et al. ∙

research

∙ 05/25/2021

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

Depth cameras are emerging as a cornerstone modality with diverse applic...

5 Seung-Hwan Baek, et al. ∙

research

∙ 04/28/2021

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

Recent neural rendering methods have demonstrated accurate view interpol...

0 Julian Knodt, et al. ∙

research

∙ 03/30/2021

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-...

0 Ilya Chugunov, et al. ∙

research

∙ 02/19/2021

Latent Variable Nested Set Transformers AutoBots

Humans have the innate ability to attend to the most relevant actors in ...

0 Roger Girgis, et al. ∙

research

∙ 02/11/2021

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

Adverse weather conditions, including snow, rain, and fog pose a challen...

2 Zheng Shi, et al. ∙

research

∙ 02/07/2021

Adversarial Imaging Pipelines

Adversarial attacks play an essential role in understanding deep neural ...

11 Buu Phan, et al. ∙

research

∙ 02/06/2021

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Today's state-of-the-art methods for 3D object detection are based on li...

6 Frank Julca-Aguilar, et al. ∙

research

∙ 11/26/2020

Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo

Active stereo cameras that recover depth from structured light captures ...

0 Seung-Hwan Baek, et al. ∙

research

∙ 11/20/2020

Neural Scene Graphs for Dynamic Scenes

Recent implicit neural rendering methods have demonstrated that it is po...

0 Julian Ost, et al. ∙

research

∙ 12/13/2019

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

Conventional sensor systems record information about directly visible ob...

38 Nicolas Scheiner, et al. ∙

research

∙ 06/21/2019

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios

This work presents an evaluation benchmark for depth estimation and comp...

4 Tobias Gruber, et al. ∙

research

∙ 06/08/2019

Defending against Adversarial Attacks through Resilient Feature Regeneration

Deep neural network (DNN) predictions have been shown to be vulnerable t...

6 Tejas Borkar, et al. ∙

research

∙ 02/24/2019

Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data

The fusion of color and lidar data plays a critical role in object detec...

0 Mario Bijelic, et al. ∙

research

∙ 02/13/2019

Gated2Depth: Real-time Dense Lidar from Gated Images

We present an imaging framework which converts three images from a gated...

0 Tobias Gruber, et al. ∙

research

∙ 12/03/2018

DeepVoxels: Learning Persistent 3D Feature Embeddings

In this work, we address the lack of 3D understanding of generative neur...

0 Vincent Sitzmann, et al. ∙

research

∙ 11/24/2018

Steady-state Non-Line-of-Sight Imaging

Conventional intensity cameras recover objects in the direct line-of-sig...

0 Wenzheng Chen, et al. ∙

research

∙ 06/13/2018

Convolutional Sparse Coding for High Dynamic Range Imaging

Current HDR acquisition techniques are based on either (i) fusing multib...

6 Ana Serrano, et al. ∙

research

∙ 11/20/2017

Robust Non-line-of-sight Imaging with Single Photon Detectors

Imaging objects that are obscured by scattering and occlusion is an impo...

0 Felix Heide, et al. ∙

research

∙ 05/22/2017

Unrolled Optimization with Deep Priors

A broad class of problems at the core of computational imaging, sensing,...

0 Steven Diamond, et al. ∙

research

∙ 05/19/2017

Snapshot Difference Imaging using Time-of-Flight Sensors

Computational photography encompasses a diversity of imaging techniques,...

0 Clara Callenberg, et al. ∙

research

∙ 03/27/2017

Discriminative Transfer Learning for General Image Restoration

Recently, several discriminative learning approaches have been proposed ...

0 Lei Xiao, et al. ∙

research

∙ 01/23/2017

Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data

Real-world sensors suffer from noise, blur, and other imperfections that...

0 Steven Diamond, et al. ∙

Felix Heide

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