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08/25/2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Permutation matrices play a key role in matching and assignment problems...
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08/07/2023
Spatially Varying Nanophotonic Neural Networks
The explosive growth of computation and energy cost of artificial intell...
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08/05/2023
Thin On-Sensor Nanophotonic Array Cameras
Today's commodity camera systems rely on compound optics to map light or...
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07/12/2023
Stochastic Light Field Holography
The Visual Turing Test is the ultimate goal to evaluate the realism of h...
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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...
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05/17/2023
S^3Track: Self-supervised Tracking with Soft Assignment Flow
In this work, we study self-supervised multiple object tracking without ...
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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...
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04/27/2023
Instance Segmentation in the Dark
Existing instance segmentation techniques are primarily tailored for hig...
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12/22/2022
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography
Modern mobile burst photography pipelines capture and merge a short sequ...
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12/09/2022
Neural Volume Super-Resolution
Neural volumetric representations have become a widely adopted model for...
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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...
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11/24/2022
DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions
Probabilistic diffusion models have achieved state-of-the-art results fo...
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06/09/2022
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
The dynamic membrane potential threshold, as one of the essential proper...
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06/06/2022
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
We investigate the generalization capabilities of neural signed distance...
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05/28/2022
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
We propose a differentiable rendering algorithm for efficient novel view...
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03/28/2022
LiDAR Snowfall Simulation for Robust 3D Object Detection
3D object detection is a central task for applications such as autonomou...
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03/28/2022
Pupil-aware Holography
Holographic displays promise to deliver unprecedented display capabiliti...
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12/17/2021
All-photon Polarimetric Time-of-Flight Imaging
Time-of-flight (ToF) sensors provide an imaging modality fueling diverse...
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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...
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12/04/2021
Gated2Gated: Self-Supervised Depth Estimation from Gated Images
Gated cameras hold promise as an alternative to scanning LiDAR sensors w...
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12/02/2021
Neural Point Light Fields
We introduce Neural Point Light Fields that represent scenes implicitly ...
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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...
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09/16/2021
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
Holographic displays can generate light fields by dynamically modulating...
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05/25/2021
Polarimetric Spatio-Temporal Light Transport Probing
Light can undergo complex interactions with multiple scene surfaces of d...
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05/25/2021
Centimeter-Wave Free-Space Time-of-Flight Imaging
Depth cameras are emerging as a cornerstone modality with diverse applic...
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04/28/2021
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
Recent neural rendering methods have demonstrated accurate view interpol...
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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-...
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02/19/2021
Latent Variable Nested Set Transformers AutoBots
Humans have the innate ability to attend to the most relevant actors in ...
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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...
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02/07/2021
Adversarial Imaging Pipelines
Adversarial attacks play an essential role in understanding deep neural ...
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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...
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11/26/2020
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo
Active stereo cameras that recover depth from structured light captures ...
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11/20/2020
Neural Scene Graphs for Dynamic Scenes
Recent implicit neural rendering methods have demonstrated that it is po...
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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...
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06/21/2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
This work presents an evaluation benchmark for depth estimation and comp...
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06/08/2019
Defending against Adversarial Attacks through Resilient Feature Regeneration
Deep neural network (DNN) predictions have been shown to be vulnerable t...
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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...
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02/13/2019
Gated2Depth: Real-time Dense Lidar from Gated Images
We present an imaging framework which converts three images from a gated...
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12/03/2018
DeepVoxels: Learning Persistent 3D Feature Embeddings
In this work, we address the lack of 3D understanding of generative neur...
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11/24/2018
Steady-state Non-Line-of-Sight Imaging
Conventional intensity cameras recover objects in the direct line-of-sig...
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06/13/2018
Convolutional Sparse Coding for High Dynamic Range Imaging
Current HDR acquisition techniques are based on either (i) fusing multib...
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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...
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05/22/2017
Unrolled Optimization with Deep Priors
A broad class of problems at the core of computational imaging, sensing,...
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05/19/2017
Snapshot Difference Imaging using Time-of-Flight Sensors
Computational photography encompasses a diversity of imaging techniques,...
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03/27/2017
Discriminative Transfer Learning for General Image Restoration
Recently, several discriminative learning approaches have been proposed ...
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01/23/2017