Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang et al.
Recent research on super-resolution has achieved great success due to the development of deep convolutional neural networks (DCNNs). However, super-resolution of arbitrary scale factor has been ignored for a long time. Most previous researchers regard super-resolution of differentscale factors as in...
Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu et al.
Temporal action proposal generation is an important task, aiming to localize the video segments containing human actions in an untrimmed video. In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on th...
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha et al.
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we investigate SR from the perspective of camera lenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff betwee...
Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu et al.
Videos typically record the streaming and continuous visual data as discrete consecutive frames. Since the storage cost is expensive for videos of high fidelity, most of them are stored in a relatively low resolution and frame rate. Recent works of Space-Time Video Super-Resolution (STVSR) are devel...
Manuel Lucena López, Roger Marí, Pau Gargallo, Yubin Kuang et al.
Single image calibration is the problem of predicting the camera parameters from one image. This problem is of importance when dealing with images collected in uncontrolled conditions by non-calibrated cameras, such as crowd-sourced applications. In this work we propose a method to predict extrinsic...
Song Bi, Chong Ding, Ahmed Tashrif Kamal, Jay A. Farrell et al.
Over the past decade, large-scale camera networks have become increasingly prevalent in a wide range of applications, such as security and surveillance, disaster response, and environmental modeling. In many applications, bandwidth constraints, security concerns, and difficulty in storing and analyz...
Samia Sultana, Boshir Ahmed, Manoranjan Paul, Muhammad Rafiqul Islam et al.
Lane marking detection is fundamental for both advanced driving assistance systems and traffic surveillance systems. However, detecting lane is highly challenging when the visibility of a road lane marking is low, obscured or often invisible due to real-life challenging environment and adverse weath...
Chris J. Willott, G. Desprez, Yoshihisa Asada, Ghassan T. E. Sarrouh et al.
Abstract We present a new sample of 158 galaxies at redshift z > 7.5 selected from deep James Webb Space Telescope (JWST) NIRCam imaging of five widely separated sight lines in the CANUCS survey. Two-thirds of the pointings and 80% of the galaxies are covered by 12–14 NIRCam filters, including se...
Md. Rezwanul Haque, Md. Milon Islam, Kazi Saeed Alam, Hasib Iqbal
Automatic lane detection to help the driver is an issue considered for the advancement of Advanced Driver Assistance Systems (ADAS) and a high level of application frameworks because of its importance in drivers and passerby safety in vehicular streets. But still, now it is a most challenging proble...
Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang et al.
We present a deep reinforcement learning method of progressive view inpainting for 3D point scene completion under volume guidance, achieving high-quality scene reconstruction from only a single depth image with severe occlusion. Our approach is end-to-end, consisting of three modules: 3D scene volu...
Debajyoti Karmaker, AZM Ehtesham Chowdhury, Md Saef Ullah Miah, Al Imran et al.
Cricket shots cannot be detected yet from single video sample without multiple view camera and other tools like sonar, speedometer. Extracting salient feature and optical flow from videos of cricket shots is still a challenge. In cricket, body parts movement created several different directional opt...
Khalid Hussain, Shanto Rahman, Md. Mostafijur Rahman, Shah Mostafa Khaled et al.
Abstract Traditional image enhancement techniques produce different types of noise such as unnatural effects, over-enhancement, and artifacts, and these drawbacks become more prominent in enhancing dark images. To overcome these drawbacks, we propose a dark image enhancement technique where local tr...
Yudong Zhang, Lenan Wu
This paper focuses on the problem of human face pose estimation using single image. Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the problem more effectively and ra...
Yanpeng Cao, Chengcheng Wang, Song Changjun, Yongming Tang et al.
Video super-resolution (VSR) technology excels in reconstructing low-quality video, avoiding unpleasant blur effect caused by interpolation-based algorithms. However, vast computation complexity and memory occupation hampers the edge of deplorability and the runtime inference in real-life applicatio...
Moushumi Zaman Bonny, Mohammad Shorif Uddin
The method of joining images to make a panorama is known as image stitching. It is an enthusiastic research area in image processing and computer vision but still a challenging problem for panoramic images. A good number of researches had been carried out to develop different algorithms for image st...