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11/08/2022
Deep Appearance Prefiltering
Physically based rendering of complex scenes can be prohibitively costly...
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12/01/2021
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion
Recent volumetric 3D reconstruction methods can produce very accurate re...
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12/01/2021
3DVNet: Multi-View Depth Prediction and Volumetric Refinement
We present 3DVNet, a novel multi-view stereo (MVS) depth-prediction meth...
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11/23/2021
Sparse Fusion for Multimodal Transformers
Multimodal classification is a core task in human-centric machine learni...
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06/28/2021
Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
Rejecting cosmic rays (CRs) is essential for scientific interpretation o...
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04/16/2021
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
Deep-learning-based algorithms have led to impressive results in visual-...
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01/12/2021
Binary TTC: A Temporal Geofence for Autonomous Navigation
Time-to-contact (TTC), the time for an object to collide with the observ...
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05/14/2020
Bi3D: Stereo Depth Estimation via Binary Classifications
Stereo-based depth estimation is a cornerstone of computer vision, with ...
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01/06/2020
Meshlet Priors for 3D Mesh Reconstruction
Estimating a mesh from an unordered set of sparse, noisy 3D points is a ...
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06/06/2018
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference
The ability to estimate the perceptual error between images is an import...
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06/03/2018
Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images
Image hallucination and super-resolution have been studied for decades, ...
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05/28/2018
Improving the Resolution of CNN Feature Maps Efficiently with Multisampling
We describe a new class of subsampling techniques for CNNs, termed multi...
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01/16/2018
Localization-Aware Active Learning for Object Detection
Active learning - a class of algorithms that iteratively searches for th...
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10/04/2017
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion
We present GraphMatch, an approximate yet efficient method for building ...
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09/27/2017
ANSAC: Adaptive Non-minimal Sample and Consensus
While RANSAC-based methods are robust to incorrect image correspondences...
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09/12/2013
