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08/30/2023
Active Neural Mapping
We address the problem of active mapping with a continually-learned neur...
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10/23/2022
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization
Visual re-localization aims to recover camera poses in a known environme...
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12/21/2021
Transferable End-to-end Room Layout Estimation via Implicit Encoding
We study the problem of estimating room layouts from a single panorama i...
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08/12/2021
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Recent advances have enabled a single neural network to serve as an impl...
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03/31/2021
Online Learning of a Probabilistic and Adaptive Scene Representation
Constructing and maintaining a consistent scene model on-the-fly is the ...
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03/29/2021
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation
Despite learning-based visual odometry (VO) has shown impressive results...
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09/21/2020
Line Flow based SLAM
We propose a method of visual SLAM by predicting and updating line flows...
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08/02/2020
Deep Visual Odometry with Adaptive Memory
We propose a novel deep visual odometry (VO) method that considers globa...
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05/13/2020
Self-Supervised Deep Visual Odometry with Online Adaptation
Self-supervised VO methods have shown great success in jointly estimatin...
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08/23/2019
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry
We propose a self-supervised learning framework for visual odometry (VO)...
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08/06/2019
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement
We propose to leverage the local information in image sequences to suppo...
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04/15/2019
Deep Comprehensive Correlation Mining for Image Clustering
Recent developed deep unsupervised methods allow us to jointly learn rep...
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04/03/2019
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry
Most previous learning-based visual odometry (VO) methods take VO as a p...
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11/25/2018
Guided Feature Selection for Deep Visual Odometry
We present a novel end-to-end visual odometry architecture with guided f...
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07/29/2018
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction
We propose a novel 3D spatial representation for data fusion and scene r...
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07/16/2018
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Rain streaks can severely degrade the visibility, which causes many curr...
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07/10/2018
Essential Tensor Learning for Multi-view Spectral Clustering
Multi-view clustering attracts much attention recently, which aims to ta...
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03/11/2018
An Efficient Volumetric Mesh Representation for Real-time Scene Reconstruction using Spatial Hashing
Mesh plays an indispensable role in dense real-time reconstruction essen...
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02/01/2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Recurrent neural networks have achieved excellent performance in many ap...
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06/18/2012