Microsoft is quietly building a mobile Xbox store that will rely on Activision and King games. [Paper] IEEE International Conference on Computer Vision (ICCV), 2021. [BibTex], Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling, Jingyun Liang, Andreas Lugmayr, Kai Zhang*, Martin Danelljan, Luc Van Gool and Radu Timofte Different from other restoration tasks, additional process of upsampling is required in SR after deblurring to increase image dimension and obtain a HR image. Read the latest news, updates and reviews on the latest gadgets in tech. [5] Member of Technical Committee of IEEE CAS Multimedia Systems and Applications (MSA). [J] arXiv preprint arXiv:1704.01464. Unpaired Image to Image Translation using Cycle consistent Adversarial Network: Zhu et al. IEEE Transactions on Image Processing (TIP), 27(9): 4608-4622, 2018. Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Multi-Scale Dense Convolutional Networks for Resource Efficient Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE TPAMI), 2021. He is now an IEEE senior member. Single Image Super Resolution: An Kai Zhang ( ) 09/29/2021: Two papers accepted by NeurIPS 2021, congratulation to Tao Yu and Guoqiang. (Journal version of DenseNet; Deep understanding of dense connectivity. We use 4x bicubic downsampled images as our "low quality" reference. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Jiayi Guo (2020-) Ruojin Cai (2018; now PhD student at Cornell) [PyTorch Testing Code] Hui Wu (2014-2020; Tencent) We address the problem of reconstructing an accurate high-resolution (HR) image given its low-resolution (LR) counterpart, usually referred as single image super-resolution (SR) [].Image SR is used in various computer vision applications, ranging from security and surveillance imaging [], medical imaging [] to object recognition [].However, image SR is an ill-posed IEEE International Conference on Computer Vision (ICCV), 2021. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Ruihan Wu (2017; now PhD student at Cornell) Microsofts Activision Blizzard deal is key to the companys mobile gaming efforts. [Project Page] High-definition television (HD or HDTV) describes a television system which provides a substantially higher image resolution than the previous generation of technologies. European Conference on Computer Vision Workshops (ECCVW), 2020. Kai Zhang, Baoquan Wang, Wangmeng Zuo, Hongzhi Zhang, Lei Zhang. Xu Zou (2017; now PhD student at THU) That means the impact could spread far beyond the agencys payday lending rule. on Multimedia, Congratulation to Simeng. Efficient Media representation, analysis, synthesis 06/03/2022: One paper "RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment" accepted by MICCAI, 2022, Congratulation to Yiting Lu. [Citations: 30+] Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms Gaussian Image Denoising (click to expand) Top super-row: learning a single model to handle various noise levels. [PyTorch Code] Hangkai Hu (2016-2022) [Paper] Yu J, Jiang Y, Wang Z, et al. 1 Learning Texture Transformer Network for Image Super-ResolutionTTSR CVPR2020 200 1.1 Re fSR Transformer attent ion Re fHR (Image Super-Resolution) Learning the Degradation Distribution for Blind Image Super-Resolution paper | code. IDM Members' meetings for 2022 will be held from 12h45 to 14h30.A zoom link or venue to be sent out before the time.. Wednesday 16 February; Wednesday 11 May; Wednesday 10 August; Wednesday 09 November arXiv preprint arXiv:1608.01471, 2016. [11] Area Chair/TPC Member of IEEE VCIP (Visual Communications and Image Processing) 2010~2022. Pacific Rim Conference on Multimedia (PCM), 2015: 677-687 ), (This paper was recommended as an Oral at NIPS 2016 Deep Learning Symposium), PhD Students: (Image Super-Resolution) Learning the Degradation Distribution for Blind Image Super-Resolution paper | code. 07/04/2022: One paper "Image Coding for Machines with Omnipotent Feature Learning" accepted by ECCV, 2022, Congratulation to Ruoyu Feng. Intel has taken the lid off their 13th Gen Core processors, codenamed Raptor Lake. An efficient Transformer model with locally-enhanced window and learnable modulator: the problem becomes more challenging and is known as single image super-resolution (SISR). We address the problem of reconstructing an accurate high-resolution (HR) image given its low-resolution (LR) counterpart, usually referred as single image super-resolution (SR) [].Image SR is used in various computer vision applications, ranging from security and surveillance imaging [], medical imaging [] to object recognition [].However, image Intel has taken the lid off their 13th Gen Core processors, codenamed Raptor Lake. 07/06/2021: Two graduated Ph.D students from our lab won the USTC Best Ph.D Thesis Award and President's Award of the Chinese Academy of Sciences separately, congratulation to Zhizheng and Wei. Department of Information Technology and Electrical Engineering, ETH Zurich [13] Guest Editor of IEEE Journal on Selected Areas in Communications Special Section on "QoE-Aware Wireless Multimedia Systems". UnitBox: An Advanced Object Detection Network[J]. [BibTex] Danlu Chen (2017; now PhD student at UCSD) Yang Yue (2022-), Undergraduate students at Cornell: This Friday, were taking a look at Microsoft and Sonys increasingly bitter feud over Call of Duty and whether U.K. regulators are leaning toward torpedoing the Activision Blizzard deal. Hello, and welcome to Protocol Entertainment, your guide to the business of the gaming and media industries. IEEE International Conference on Computer Vision Workshops (ICCVW), 2019. Single Image Super Resolution: An The term has been used since 1936; in more recent times, it refers to the generation following standard-definition television (SDTV), often abbreviated to HDTV or HD-TV.It is the current de facto [BibTex] An efficient Transformer model with locally-enhanced window and learnable modulator: the problem becomes more challenging and is known as single image super-resolution (SISR). [Matlab Code] He received the B.Sc., and Ph.D. degree from Department of Electrical Engineering Tsinghua University respectively, with excellent Ph.D thesis award. Yin Liu (2017; now PhD student at WISC) [Paper] Email: yapengtian@rochester.edu OR yulun100@gmail.com OR xiang43@purdue.edu). Zhibo Chen is now a full professor in University of Science and Technology of China. [Paper] Image Deraining (click to expand) Single-Image Motion Deblurring (click to expand) Defocus Deblurring (click to expand) S: single-image defocus deblurring. Zhuang Liu (2016; now PhD student at Berkeley) [BibTex] An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning). [4] Chair Guest Editor of IEEE Open Journal of Circuits and Systems Special Section on "Optimized Image/Video Coding based on Deep Learning", 2021. Qisen Yang (2019-) [Matlab Code] The diffeomorphic variations of the proposed model were presented to ensure topology-preserving deformations. IEEE International Conference on Computer Vision Workshops (ICCVW), 2021. Michael McCoyd, David Wagner .Spoofing 2D Face Detection: Machines See People Who Aren't There. 10/09/2021: One paper "Learned Block-based Hybrid Image Compression" accepted by IEEE TCSVT, Congratulation to Yaojun and Xin Li. Loss fuctionChen W, Chen X, Zhang J, et al. Image classification with ConvMixer; CutMix data augmentation for image classification; Multiclass semantic segmentation using DeepLabV3+ Distilling Vision Transformers; Monocular depth estimation; Image classification with EANet (External Attention Transformer) Enhanced Deep Residual Networks for single-image super-resolution Efficient Media representation, analysis, synthesis 06/03/2022: One paper "RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment" accepted by MICCAI, 2022, Congratulation to Yiting Lu. [PyTorch Code] Second-order attention network for single image super-resolution Pre-trained image processing transformer (CVPR 2021) pdf; An empirical study of training self-supervised vision transformers (ICCV 2021) pdf; Segformer: Simple and efficient design for semantic segmentation with transformers (arxiv 2021) pdf; Gaussian Image Denoising (click to expand) Top super-row: learning a single model to handle various noise levels. Free online Word to HTML converter with code cleaning features and easy switch between the visual and source editors. [Citations: 670+], Learning Deep CNN Denoiser Prior for Image Restoration, Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang If your protocol is a sub-study of an existing study, please include a brief description of the parent study, the current status of the parent study, and how the sub-study will fit with the parent study. [Paper] [BibTex], Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution, Jingyun Liang, Guolei Sun, Kai Zhang*, Luc Van Gool and Radu Timofte 1 Learning Texture Transformer Network for Image Super-ResolutionTTSR CVPR2020 200 1.1 Re fSR Transformer attent ion Re f 07/23/2021: Two papers accepted by ICCV 2021, congratulation to Xin Jin and Tianyu. Haojun Jiang (2020-) Those who have a checking or savings account, but also use financial alternatives like check cashing services are considered underbanked. IEEE Signal Processing Letters (SPL), 23, (1): 102-106, 2016. 11/29/2021: One paper "Dual Prior Learning for Weakly-supervised Single Image Restoration from Blended Distortions" accepted by IEEE TIP, Congratulation to Xin Jin. Yang Yue (2022-) This Friday, were taking a look at Microsoft and Sonys increasingly bitter feud over Call of Duty and whether U.K. regulators are leaning toward torpedoing the Activision Blizzard deal. The autoencoder learns a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network to ignore insignificant data (noise Yu Sun (2015-2016; now PhD student at Berkeley) [BibTex], AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results, Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte and others D: dual-pixel defocus deblurring. This example trains a super-resolution network contribute: Super Resolution with sub-pixel CNN: Shi et al. contribute: Super Resolution with sub-pixel CNN: Shi et al. chenzhibo@ustc.edu.cn(elsen@ustc.edu.cn, qq:503104706). [7] Member of Image, Video, and Multimedia (IVM) Technical Committee of APSIPA (Asia-Pacific Signal and Information Processing Association). [Paper] Single-Image-Super-Resolution. IEEE International Conference on Computer Vision (ICCV), 2021. [PyTorch Code] 06/06/2021: One paper "Causal Contextual Prediction for Learned Image Compression" accepted by IEEE TCSVT, Congratulation to Zongyu Guo. IEEE International Conference on Computer Vision (ICCV), 2021. [1] Joint Key Project of National Natural Science Foundation of ChinaNSFC-U1908209 PI, [2] National key R&D project2016YFC0801001 PI, [3] Project of National Natural Science Foundation of ChinaNSFC-61571413 PI, [4] Key Project of National Natural Science Foundation of ChinaNSFC-61632001, [5] National key R&D project2018AAA0101400, [6] Major Project of National Natural Science Foundation of ChinaNSFC-61390514, [1] National Nature Science Award (Second Class) 2018, [2] Ministry of Education Nature Science Award (First Class) 2017, [3] Institute of Electronics Nature Science Award (First Class) 2015, [4] ACM Multimedia Outstanding Reviewer Award 2019, [5] IEEE ICME Outstanding Reviewer Award 2020, [6] 1st place winner Award on "Perceptual Metric Track" of CVPR Challenge on Learned Image Compression Workshop-2021, [7] 1st place winner Award on "learning based image inpainting" Grand Challenge of IEEE ICME-2019, [8] 1st place winner Award on Youku Grand Challenge on "Video Enhancement and Super Resolution", 2019, [9] 1st place winner Award on "light field image coding" Grand Challenge of IEEE ICIP-2017, [10] IEEE CASS Outstanding Technical Committee Recognization Award, 2021, University of Science and Technology of China, QoE assessment of 2D/3D/Immersive media content, Hybrid Distorted Content Quality Assessment, QoE Metrics for Intelligent Media Computing, Efficient Media representation, analysis, synthesis, Image to image transformation/ enhancement/editing, Reinforcement learning and meta-learning for media processing, End-to-End Learning based image/video coding, Image/video coding optimziation with machine learning, Efficient and Structured Coding for Intelligent media computing. [ResearchGate]. Email: cskaizhang@gmail.com The model uses learning to translate an image from a source domain X to a target domain Y in the absence of paired examples. Zihang Lai (2018; now undergraduate at Oxford), Undergraduate students at Tsinghua: The model uses learning to translate an image from a source domain X to a target domain Y in the absence of paired examples. [BibTex], Flow-based Kernel Prior with Application to Blind Super-Resolution, Jingyun Liang, Kai Zhang*, Shuhang Gu, Luc Van Gool, Radu Timofte This example trains a super-resolution network [PyTorch Training Code] IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. It works perfectly for any document conversion, like Microsoft Word Built on refining the Intel 7 and performance hybrid architecture of last year's Alder Lake, Intel is boasting up to 15% single-threaded and 41% multi-threaded performance gains. IEEE Transactions on Image Processing (TIP), 27(3): 1202-1213, 2017. [PyTorch Code] [J] arXiv preprint arXiv:1608.02128. Beyond triplet loss: a deep quadruplet network for person re-identification [C]//The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). He used to be Principal Scientist, Distinguished Member of Thomson Fellowship and Research Manager in Thomson Research & Innovation Division. [BibTex]. Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens Super AI Leader - Pioneer Award, World AI Conference (WAIC), 2018; An efficient Transformer model with locally-enhanced window and learnable modulator: the problem becomes more challenging and is known as single image super-resolution (SISR). I was a research assistant from July, 2015 to July, 2017 and from July, 2018 to April, 2019 in Department of Computing of The Hong Kong Polytechnic University. [BibTex], Deep Unfolding Network for Image Super-Resolution, Kai Zhang, Luc Van Gool, Radu Timofte Prop 30 is supported by a coalition including CalFire Firefighters, the American Lung Association, environmental organizations, electrical workers and businesses that want to improve Californias air quality by fighting and preventing wildfires and reducing air pollution from vehicles. Shichen Liu (2017; now PhD student at USC) The term has been used since 1936; in more recent times, it refers to the generation following standard-definition television (SDTV), often abbreviated to HDTV or HD-TV.It is the current de facto Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens Super AI Leader - Pioneer Award, World AI Conference (WAIC), 2018; 06/03/2021: One paper "Task-driven Semantic Coding via Reinforcement Learning" accepted by IEEE TIP , Congratulation to Xin Li. The diffeomorphic variations of the proposed model were presented to ensure topology-preserving deformations. Hello, and welcome to Protocol Entertainment, your guide to the business of the gaming and media industries. Jiayu Xiao (2019-), Qingcheng Award, Damo Academy of Alibaba, 2020, Outstanding Young Researcher, Chinese Association for Artificial Intelligence, 2019, Super AI Leader - Pioneer Award, World AI Conference (WAIC), 2018, Doctoral Dissertation Award, Chinese Association of Automation, 2015. [Matlab Code] About Our Coalition. An HDMI connection can either be single-link (type A/C/D) or dual-link (type B) and can have a video pixel rate of 25 MHz to 340 MHz (for a single-link connection) or 25 MHz to 680 MHz (for a dual-link connection).
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