Image and Video Processing
Papers filed under eess.IV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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901 to 960 of 1,301
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
James R. Clough, Nicholas Byrne, Ilkay Oksuz +3
cs.CVeess.IVarXiv:1910.01877v22019NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
Liyue Shen, John Pauly, Lei Xing
eess.IVcs.CVarXiv:2108.10991v22021A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
cs.CVcs.LGeess.IVarXiv:2004.05214v22020Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Nick Moran, Dan Schmidt, Yu Zhong +1
eess.IVcs.CVarXiv:1910.11908v12019Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen, Yue Cao, Han Hu +1
cs.CVcs.LGeess.IVarXiv:2003.12063v12020ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
Shreeyak S. Sajjan, Matthew Moore, Mike Pan +4
cs.CVcs.ROeess.IVarXiv:1910.02550v22019FISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
Jinxi Xiang, Yonggui Dong, Yunjie Yang
eess.IVphysics.app-pharXiv:2008.02683v32020Deep Generalized Unfolding Networks for Image Restoration
Chong Mou, Qian Wang, Jian Zhang
cs.CVeess.IVarXiv:2204.13348v12022Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng, Yanfei Zhong, Junjue Wang +1
cs.CVcs.LGeess.IVarXiv:2011.09766v12020Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
Shaoping Hu, Yuan Gao, Zhangming Niu +9
eess.IVcs.CVcs.LGarXiv:2004.06689v12020Deep learning for smart fish farming: applications, opportunities and challenges
Xinting Yang, Song Zhang, Jintao Liu +3
cs.CVcs.LGeess.IVarXiv:2004.11848v22020Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman +11
eess.IVcs.CVcs.LGarXiv:2008.08871v22020R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng +1
cs.CVcs.LGeess.IVarXiv:1908.05612v62019Cable Manipulation with a Tactile-Reactive Gripper
Yu She, Shaoxiong Wang, Siyuan Dong +3
cs.ROeess.IVeess.SYarXiv:1910.02860v32019Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassasni, Michal J. Wesolowski +2
eess.IVcs.CVarXiv:2004.10641v12020Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling
Tong Chen, Haojie Liu, Zhan Ma +3
eess.IVarXiv:1910.06244v12019Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing +4
cs.CVcs.AIcs.LGarXiv:2208.07422v12022Decoupling of brain function from structure reveals regional behavioral specialization in humans
Maria Giulia Preti, Dimitri Van De Ville
q-bio.NCeess.IVarXiv:1905.07813v22019Cross-view Semantic Segmentation for Sensing Surroundings
Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung +2
cs.CVeess.IVarXiv:1906.03560v32019Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring
Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
cs.CVeess.IVarXiv:2004.05343v12020Neural Video Compression with Diverse Contexts
Jiahao Li, Bin Li, Yan Lu
eess.IVcs.CVcs.MMarXiv:2302.14402v32023On the Challenges and Perspectives of Foundation Models for Medical Image Analysis
Shaoting Zhang, Dimitris Metaxas
eess.IVcs.CVarXiv:2306.05705v22023U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit, Nicolas Thome, Clément Rambour +1
eess.IVcs.CVarXiv:2103.06104v22021Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv, Yu Li, Feng Lu
eess.IVcs.CVarXiv:1908.00682v32019Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Zitong Yu, Wei Peng, Xiaobai Li +2
eess.IVcs.CVarXiv:1907.11921v12019Complex diffusion-weighted image estimation via matrix recovery under general noise models
Lucilio Cordero-Grande, Daan Christiaens, Jana Hutter +2
eess.IVstat.AParXiv:1812.05954v22018COIN: COmpression with Implicit Neural representations
Emilien Dupont, Adam Goliński, Milad Alizadeh +2
eess.IVcs.CVcs.LGarXiv:2103.03123v22021CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Fabian Hörst, Moritz Rempe, Lukas Heine +8
eess.IVcs.CVcs.LGarXiv:2306.15350v22023Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Xiangde Luo, Minhao Hu, Tao Song +2
eess.IVcs.CVarXiv:2112.04894v22021FVC: A New Framework towards Deep Video Compression in Feature Space
Zhihao Hu, Guo Lu, Dong Xu
eess.IVcs.CVarXiv:2105.09600v22021Surgical Data Science -- from Concepts toward Clinical Translation
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya +47
cs.CYcs.CVcs.LGarXiv:2011.02284v22020A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang +8
cs.CVcs.LGeess.IVarXiv:2009.00155v32020Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Jonas Kubilius, Martin Schrimpf, Kohitij Kar +11
cs.CVcs.LGcs.NEarXiv:1909.06161v22019Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
Han Yang, Ruimao Zhang, Xiaobao Guo +3
cs.CVcs.GReess.IVarXiv:2003.05863v12020An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang +4
eess.AScs.LGeess.IVarXiv:2008.09586v22020Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda, Ashirbani Saha, Maciej A Mazurowski
eess.IVcs.CVcs.LGarXiv:1906.03720v12019Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
Rajeev Yasarla, Vishal M. Patel
cs.CVcs.LGeess.IVarXiv:1906.11129v12019MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
Jiacheng Ruan, Suncheng Xiang, Mingye Xie +2
eess.IVcs.CVarXiv:2211.01784v120223D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf +1
cs.CVeess.IVarXiv:2004.04727v32020AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
Gongping Chen, Yu Dai, Jianxun Zhang +1
eess.IVcs.CVcs.LGarXiv:2204.12077v32022ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
Taban Eslami, Vahid Mirjalili, Alvis Fong +2
cs.LGeess.IVstat.MLarXiv:1904.07577v12019Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
cs.CVcs.AIcs.LGarXiv:2012.14036v12020Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
Jeroen Bertels, Tom Eelbode, Maxim Berman +4
cs.CVcs.LGeess.IVarXiv:1911.01685v12019A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld, Bernt Schiele, Anna Khoreva
cs.CVcs.LGeess.IVarXiv:2002.12655v22020Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8
eess.IVcs.CVarXiv:2007.14895v12020EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu
eess.IVcs.CVarXiv:2405.06880v12024Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri, Andrew Owens, Alexei A. Efros
cs.CVcs.LGeess.IVarXiv:2006.14613v22020Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen, Feng Shi, Anthony G. Christodoulou +3
cs.CVeess.IVarXiv:1803.01417v32018A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin +3
cs.CVcs.AIeess.IVarXiv:2112.01800v12021Building Instance Classification Using Street View Images
Jian Kang, Marco Körner, Yuanyuan Wang +2
cs.CVeess.IVarXiv:1802.09026v12018Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
Christian Payer, Darko Štern, Horst Bischof +1
eess.IVcs.CVarXiv:1908.00748v12019CLIPstyler: Image Style Transfer with a Single Text Condition
Gihyun Kwon, Jong Chul Ye
cs.CVcs.CLeess.IVarXiv:2112.00374v32021Seeing What a GAN Cannot Generate
David Bau, Jun-Yan Zhu, Jonas Wulff +4
cs.CVcs.GRcs.LGarXiv:1910.11626v12019UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Zhengzhong Tu, Yilin Wang, Neil Birkbeck +2
cs.CVeess.IVarXiv:2005.14354v22020Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Guolei Sun, Wenguan Wang, Jifeng Dai +1
cs.CVcs.LGeess.IVarXiv:2007.01947v22020Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll, Kerstin Hammernik, Chi Zhang +4
eess.SPcs.CVcs.LGarXiv:1904.01112v12019The Devil Is in the Details: Window-based Attention for Image Compression
Renjie Zou, Chunfeng Song, Zhaoxiang Zhang
eess.IVcs.CVarXiv:2203.08450v12022Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
cs.LGeess.IVstat.MLarXiv:1910.10536v32019BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
Bo Li, Kaitao Xue, Bin Liu +1
cs.CVeess.IVarXiv:2205.07680v22022Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu +3
cs.CVcs.LGeess.IVarXiv:2011.07491v32020