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03/03/2023
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
High-quality 3D ground-truth shapes are critical for 3D object reconstru...
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12/14/2022
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
Training a Neural Radiance Field (NeRF) without pre-computed camera pose...
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12/14/2022
Deep Negative Correlation Classification
Ensemble learning serves as a straightforward way to improve the perform...
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11/07/2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Self-supervised monocular depth estimation has shown impressive results ...
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05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
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03/01/2021
DF-VO: What Should Be Learnt for Visual Odometry?
Multi-view geometry-based methods dominate the last few decades in monoc...
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12/24/2020
MobileSal: Extremely Efficient RGB-D Salient Object Detection
The high computational cost of neural networks has prevented recent succ...
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12/21/2020
Diverse Knowledge Distillation for End-to-End Person Search
Person search aims to localize and identify a specific person from a gal...
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06/04/2020
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
Single-view depth estimation using CNNs trained from unlabelled videos h...
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12/24/2019
Ordered or Orderless: A Revisit for Video based Person Re-Identification
Is recurrent network really necessary for learning a good visual represe...
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11/27/2019
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning
Triplet loss has been widely employed in a wide range of computer vision...
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08/28/2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Recent work has shown that CNN-based depth and ego-motion estimators can...
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08/26/2019
An Evaluation of Feature Matchers forFundamental Matrix Estimation
Matching two images while estimating their relative geometry is a key st...
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08/24/2019