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09/20/2023
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Neural radiance field is an emerging rendering method that generates hig...
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09/19/2023
Locally Stylized Neural Radiance Fields
In recent years, there has been increasing interest in applying stylizat...
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07/27/2023
360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking
360 images can provide an omnidirectional field of view which is importa...
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07/18/2023
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
In this paper, we address the problem of conditional scene decoration fo...
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06/07/2023
MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding
Building a video retrieval system that is robust and reliable, especiall...
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11/16/2022
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
In this paper, we propose a new method for mapping a 3D point cloud to t...
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09/23/2022
Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval
Effective analysis of unusual domain specific video collections represen...
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09/13/2022
Time-of-Day Neural Style Transfer for Architectural Photographs
Architectural photography is a genre of photography that focuses on capt...
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08/04/2022
360Roam: Real-Time Indoor Roaming Using Geometry-Aware 360^∘ Radiance Fields
Neural radiance field (NeRF) has recently achieved impressive results in...
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02/26/2022
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
3D point clouds deep learning is a promising field of research that allo...
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11/24/2021
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval
The huge domain gap between sketches and photos and the highly abstract ...
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08/04/2021
Neural Scene Decoration from a Single Photograph
Furnishing and rendering an indoor scene is a common but tedious task fo...
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09/23/2020
Dual-SLAM: A framework for robust single camera navigation
SLAM (Simultaneous Localization And Mapping) seeks to provide a moving a...
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08/27/2020
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
With the recent developments of convolutional neural networks, deep lear...
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08/07/2020
Global Context Aware Convolutions for 3D Point Cloud Understanding
Recent advances in deep learning for 3D point clouds have shown great pr...
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02/07/2020
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
Fully-automatic execution is the ultimate goal for many Computer Vision ...
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08/17/2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Recent progresses in 3D deep learning has shown that it is possible to d...
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08/17/2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Deep learning with 3D data has progressed significantly since the introd...
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08/13/2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Deep learning techniques for point cloud data have demonstrated great po...
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04/01/2019
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Deep learning techniques have become the to-go models for most vision-re...
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04/01/2018
Real-time Progressive 3D Semantic Segmentation for Indoor Scene
The widespread adoption of autonomous systems such as drones and assista...
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12/14/2017
Point-wise Convolutional Neural Network
Deep learning with 3D data such as reconstructed point clouds and CAD mo...
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10/19/2016
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation
Recent advances of 3D acquisition devices have enabled large-scale acqui...
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03/12/2016
Towards Building an RGBD-M Scanner
We present a portable device to capture both shape and reflectance of an...
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02/16/2016
Segmentation Rectification for Video Cutout via One-Class Structured Learning
Recent works on interactive video object cutout mainly focus on designin...
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01/19/2016
A Closed-Form Solution to Tensor Voting: Theory and Applications
We prove a closed-form solution to tensor voting (CFTV): given a point s...
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03/23/2015
