Deng, Yong Xiao, Jimin Zhou, Steven Zhiying Feng, Jiashi
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
The Coarse-To-Fine (CTF) matching scheme has been widely applied to reduce computational complexity and matching ambiguity in stereo matching and optical flow tasks by converting image pairs into multi-scale representations and performing matching from coarse to fine levels. Despite its efficiency, it suffers from several weaknesses, such as tendin...
Zhou, Haohong Azzam, Mohamed Zhong, Jian Liu, Cheng Wu, Si Wong, Hau-San
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Both target-specific and domain-invariant features can facilitate Open Set Domain Adaptation (OSDA). To exploit these features, we propose a Knowledge Exchange (KnowEx) model which jointly trains two complementary constituent networks: (1) a Domain-Adversarial Network (DAdvNet) learning the domain-invariant representation, through which the supervi...
Ruan, Zeyu Zou, Changqing Wu, Longhai Wu, Gangshan Wang, Limin
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Three-dimensional face dense alignment and reconstruction in the wild is a challenging problem as partial facial information is commonly missing in occluded and large pose face images. Large head pose variations also increase the solution space and make the modeling more difficult. Our key idea is to model occlusion and pose to decompose this chall...
Chen, Zan Guo, Wenlong Feng, Yuanjing Li, Yongqiang Zhao, Changchen Ren, Yi Shao, Ling
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Deep learning has recently been intensively studied in the context of image compressive sensing (CS) to discover and represent complicated image structures. These approaches, however, either suffer from nonflexibility for an arbitrary sampling ratio or lack an explicit deep-learned regularization term. This paper aims to solve the CS reconstruction...
Gnutti, Alessandro Guerrini, Fabrizio Leonardi, Riccardo
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
This work addresses the challenging problem of reflection symmetry detection in unconstrained environments. Starting from the understanding on how the visual cortex manages planar symmetry detection, it is proposed to treat the problem in two stages: i) the design of a stable metric that extracts subsets of consistently oriented candidate segments,...
Yang, Cheng-Yun Chen, Homer H
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Significant progress has been made for face detection from normal images in recent years; however, accurate and fast face detection from fisheye images remains a challenging issue because of serious fisheye distortion in the peripheral region of the image. To improve face detection accuracy, we propose a light-weight location-aware network to disti...
Jin, Yize Chen, Meixu Goodall, Todd Patney, Anjul Bovik, Alan C
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In Virtual Reality (VR), the requirements of much higher resolution and smooth viewing experiences under rapid and often real-time changes in viewing direction, leads to significant challenges in compression and communication. To reduce the stresses of very high bandwidth consumption, the concept of foveated video compression is being accorded rene...
Goren, Mor Zamir, Ram
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Diversity "multiple description" (MD) source coding promises graceful degradation in the presence of a priori unknown number of erased packets in the channel. A simple coding scheme for the case of two packets consists of oversampling the source by a factor of two and delta-sigma quantization. This approach was applied successfully to JPEG-based im...
Gong, Yanchao Yang, Kaifang Liu, Ying Lim, Keng-Pang Ling, Nam Wu, Hong Ren
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Video surveillance and its applications have become increasingly ubiquitous in modern daily life. In video surveillance system, video coding as a critical enabling technology determines the effective transmission and storage of surveillance videos. In order to meet the real-time or time-critical transmission requirements of video surveillance syste...
Yu, Zitong Zhou, Benjia Wan, Jun Wang, Pichao Chen, Haoyu Liu, Xin Li, Stan Z Zhao, Guoying
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Gesture recognition has attracted considerable attention owing to its great potential in applications. Although the great progress has been made recently in multi-modal learning methods, existing methods still lack effective integration to fully explore synergies among spatio-temporal modalities effectively for gesture recognition. The problems are...
