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09/06/2023
Patched Line Segment Learning for Vector Road Mapping
This paper presents a novel approach to computing vector road maps from ...
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07/14/2023
Volumetric Wireframe Parsing from Neural Attraction Fields
The primal sketch is a fundamental representation in Marr's vision theor...
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06/20/2023
Depth and DOF Cues Make A Better Defocus Blur Detector
Defocus blur detection (DBD) separates in-focus and out-of-focus regions...
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05/22/2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Current semantic segmentation models have achieved great success under t...
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04/03/2023
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
The main challenge of monocular 3D object detection is the accurate loca...
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03/26/2023
Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
This paper aims to develop an accurate 3D geometry representation of sat...
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11/30/2022
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
This paper studies the challenging two-view 3D reconstruction in a rigor...
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11/22/2022
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit Surfaces
This paper presents a neural incremental Structure-from-Motion (SfM) app...
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10/24/2022
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
This paper presents Holistically-Attracted Wireframe Parsing (HAWP) for ...
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08/15/2022
HoW-3D: Holistic 3D Wireframe Perception from a Single Image
This paper studies the problem of holistic 3D wireframe perception (HoW-...
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08/01/2022
Accurate Polygonal Mapping of Buildings in Satellite Imagery
This paper studies the problem of polygonal mapping of buildings by tack...
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03/04/2022
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
Given two point sets, the problem of registration is to recover a transf...
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12/15/2021
Decoupling Zero-Shot Semantic Segmentation
Zero-shot semantic segmentation (ZS3) aims to segment the novel categori...
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12/09/2021
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
Monocular 3D object detection aims to localize 3D bounding boxes in an i...
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09/08/2021
Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation
This paper presents a method of learning Local-GlObal Contextual Adaptat...
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09/06/2021
Parsing Table Structures in the Wild
This paper tackles the problem of table structure parsing (TSP) from ima...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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07/27/2021
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
This paper presents a neural network built upon Transformers, namely Pla...
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03/13/2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Recently, object detection in aerial images has gained much attention in...
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03/11/2021
Deep Graph Matching under Quadratic Constraint
Recently, deep learning based methods have demonstrated promising result...
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02/24/2021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
In the past decade, object detection has achieved significant progress i...
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11/19/2020
Unmixing Convolutional Features for Crisp Edge Detection
This paper presents a context-aware tracing strategy (CATS) for crisp ed...
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03/26/2020
Zero-Assignment Constraint for Graph Matching with Outliers
Graph matching (GM), as a longstanding problem in computer vision and pa...
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03/25/2020
Fisheye Distortion Rectification from Deep Straight Lines
This paper presents a novel line-aware rectification network (LaRecNet) ...
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03/03/2020
Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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12/18/2019
Learning Regional Attraction for Line Segment Detection
This paper presents regional attraction of line segment maps, and hereby...
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04/22/2019
Learning to Calibrate Straight Lines for Fisheye Image Rectification
This paper presents a new deep-learning based method to simultaneously c...
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01/16/2019
A Functional Representation for Graph Matching
Graph matching is an important and persistent problem in computer vision...
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12/05/2018
Learning Attraction Field Representation for Robust Line Segment Detection
This paper presents a region-partition based attraction field dual repre...
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12/01/2018
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
Object detection in aerial images is an active yet challenging task in c...
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11/07/2018
GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing Images
Automatic extraction of buildings in remote sensing images is an importa...
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07/26/2018
Adaptively Transforming Graph Matching
Recently, many graph matching methods that incorporate pairwise constrai...
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03/16/2017