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08/04/2023
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
Estimating surface normals from 3D point clouds is critical for various ...
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12/01/2022
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames
We present a lightweight post-processing method to refine the semantic s...
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12/01/2022
Efficient stereo matching on embedded GPUs with zero-means cross correlation
Mobile stereo-matching systems have become an important part of many app...
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11/20/2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
We present an efficient text-to-video generation framework based on late...
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09/20/2022
Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation
3D point clouds can flexibly represent continuous surfaces and can be us...
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08/04/2022
Surgical Skill Assessment via Video Semantic Aggregation
Automated video-based assessment of surgical skills is a promising task ...
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07/04/2022
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution
Modeling the local surface geometry is challenging in 3D point cloud und...
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07/04/2022
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding
Learning point clouds is challenging due to the lack of connectivity inf...
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01/28/2022
RGB-D SLAM Using Attention Guided Frame Association
Deep learning models as an emerging topic have shown great progress in v...
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10/06/2021
3rd Place Solution to Google Landmark Recognition Competition 2021
In this paper, we show our solution to the Google Landmark Recognition 2...
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09/01/2021
Spatio-Temporal Perturbations for Video Attribution
The attribution method provides a direction for interpreting opaque neur...
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05/01/2020
A Comprehensive Study on Visual Explanations for Spatio-temporal Networks
Identifying and visualizing regions that are significant for a given dee...
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04/21/2020
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud
Lidar based 3D object detection and classification tasks are essential f...
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03/09/2020
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
This paper presents a novel semantic-based online extrinsic calibration ...
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10/29/2019
Weighted Boxes Fusion: ensembling boxes for object detection models
In this work, we introduce a novel Weighted Box Fusion (WBF) ensembling ...
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09/16/2019
Acoustic scene analysis with multi-head attention networks
Acoustic Scene Classification (ASC) is a challenging task, as a single s...
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03/14/2019
Neural Style Transfer for Point Clouds
How can we edit or transform the geometric or color property of a point ...
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12/08/2017
Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints
This paper presents a novel method for detecting scene changes from a pa...
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10/13/2017
