230 citations · 1.1k across the 84 of their papers we have counts for
11 papers · 1 filter
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…
Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera
Liyuan Pan, Cedric Scheerlinck, Xin Yu +3
Event-based cameras can measure intensity changes (called `{\it events}') with microsecond accuracy under high-speed motion and challenging lighting conditions. With the active pix…
Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring
Liyuan Pan, Richard Hartley, Miaomiao Liu +1
The image blurring process is generally modelled as the convolution of a blur kernel with a latent image. Therefore, the estimation of the blur kernel is essentially important for…
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…
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis
Xibin Song, Yuchao Dai, Xueying Qin
Deep convolutional neural network (DCNN) has been successfully applied to depth map super-resolution and outperforms existing methods by a wide margin. However, there still exist t…
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…
Occluded Joints Recovery in 3D Human Pose Estimation based on Distance Matrix
Xiang Guo, Yuchao Dai
Albeit the recent progress in single image 3D human pose estimation due to the convolutional neural network, it is still challenging to handle real scenarios such as highly occlude…
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective
Jing Zhang, Tong Zhang, Yuchao Dai +2
The success of current deep saliency detection methods heavily depends on the availability of large-scale supervision in the form of per-pixel labeling. Such supervision, while lab…
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…