1.2k citations · 2.8k across the 67 of their papers we have counts for
12 papers · 1 filter
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation
Dylan Campbell, Lars Petersson, Laurent Kneip +2
Determining the position and orientation of a calibrated camera from a single image with respect to a 3D model is an essential task for many applications. When 2D-3D correspondence…
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Xibin Song, Peng Wang, Dingfu Zhou +6
Autonomous driving has attracted remarkable attention from both industry and academia. An important task is to estimate 3D properties(e.g.translation, rotation and shape) of a movi…
Stereo Computation for a Single Mixture Image
Yiran Zhong, Yuchao Dai, Hongdong Li
This paper proposes an original problem of \emph{stereo computation from a single mixture image}-- a challenging problem that had not been researched before. The goal is to separat…
3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes
Yiran Zhong, Yuchao Dai, Hongdong Li
This paper is concerned with the problem of how to better exploit 3D geometric information for dense semantic image labeling. Existing methods often treat the available 3D geometry…
Open-World Stereo Video Matching with Deep RNN
Yiran Zhong, Hongdong Li, Yuchao Dai
Deep Learning based stereo matching methods have shown great successes and achieved top scores across different benchmarks. However, like most data-driven methods, existing deep st…
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization
Liu Liu, Hongdong Li, Yuchao Dai
This paper tackles the problem of large-scale image-based localization (IBL) where the spatial location of a query image is determined by finding out the most similar reference ima…
Action Anticipation By Predicting Future Dynamic Images
Cristian Rodriguez, Basura Fernando, Hongdong Li
Human action-anticipation methods predict what is the future action by observing only a few portion of an action in progress. This is critical for applications where computers have…
Semi-Dense 3D Reconstruction with a Stereo Event Camera
Yi Zhou, Guillermo Gallego, Henri Rebecq +3
Event cameras are bio-inspired sensors that offer several advantages, such as low latency, high-speed and high dynamic range, to tackle challenging scenarios in computer vision. Th…
Structure from Recurrent Motion: From Rigidity to Recurrency
Xiu Li, Hongdong Li, Hanbyul Joo +2
This paper proposes a new method for Non-Rigid Structure-from-Motion (NRSfM) from a long monocular video sequence observing a non-rigid object performing recurrent and possibly rep…
Semantic Single-Image Dehazing
Ziang Cheng, Shaodi You, Viorela Ila +1
Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this defi…
Adversarial Spatio-Temporal Learning for Video Deblurring
Kaihao Zhang, Wenhan Luo, Yiran Zhong +3
Camera shake or target movement often leads to undesired blur effects in videos captured by a hand-held camera. Despite significant efforts having been devoted to video-deblur rese…
Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective
Suryansh Kumar, Anoop Cherian, Yuchao Dai +1
This paper addresses the task of dense non-rigid structure-from-motion (NRSfM) using multiple images. State-of-the-art methods to this problem are often hurdled by scalability, exp…