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ORCIDICASSP 2020: Barcelona, Spain
- 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020. IEEE 2020, ISBN 978-1-5090-6631-5
- Mohammad Alaee-Kerahroodi, Shankar Mysore Rama R. Bhavani, Kumar Vijay Mishra, Björn E. Ottersten:
Information Theoretic Approach for Waveform Design in Coexisting MIMO Radar and MIMO Communications. 1-5 - Cece Jin, Tao Zhang, Weijie Kong, Thomas H. Li, Ge Li:
Regression Before Classification for Temporal Action Detection. 1-5 - Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This Dataset Does Not Exist: Training Models from Generated Images. 1-5 - Tsung-Han Hsieh, Kai-Hsiang Cheng, Zhe-Cheng Fan, Yu-Ching Yang, Yi-Hsuan Yang:
Addressing The Confounds Of Accompaniments In Singer Identification. 1-5 - Nicholas J. Bryan:
Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation. 1-5 - Jongpil Lee, Nicholas J. Bryan, Justin Salamon
, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. 6-10 - Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello:
Learning the Helix Topology of Musical Pitch. 11-15 - Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Audio-Based Auto-Tagging With Contextual Tags for Music. 16-20 - Furkan Yesiler, Joan Serrà, Emilia Gómez:
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings. 21-25 - Chaoya Jiang, Deshun Yang, Xiaoou Chen:
Similarity Learning For Cover Song Identification Using Cross-Similarity Matrices of Multi-Level Deep Sequences. 26-30 - Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training On Learned Latent Targets. 31-35 - David Ditter, Timo Gerkmann:
A Multi-Phase Gammatone Filterbank for Speech Separation Via Tasnet. 36-40 - Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy, Sriram Ganapathy, Yuki Mitsufuji:
Improving Voice Separation by Incorporating End-To-End Speech Recognition. 41-45 - Yi Luo, Zhuo Chen, Takuya Yoshioka:
Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation. 46-50 - Christian Uhle, Matteo Torcoli, Jouni Paulus:
Controlling the Perceived Sound Quality for Dialogue Enhancement With Deep Learning. 51-55 - Masahito Togami, Yoshiki Masuyama, Tatsuya Komatsu, Yu Nakagome:
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function. 56-60 - Çagdas Bilen, Giacomo Ferroni, Francesco Tuveri, Juan Azcarreta, Sacha Krstulovic:
A Framework for the Robust Evaluation of Sound Event Detection. 61-65 - Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda:
Weakly-Supervised Sound Event Detection with Self-Attention. 66-70 - Thi Ngoc Tho Nguyen, Douglas L. Jones, Woon-Seng Gan:
A Sequence Matching Network for Polyphonic Sound Event Localization and Detection. 71-75 - Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang:
Few-Shot Acoustic Event Detection Via Meta Learning. 76-80 - Yu Wang, Justin Salamon, Nicholas J. Bryan, Juan Pablo Bello:
Few-Shot Sound Event Detection. 81-85 - Romain Serizel, Nicolas Turpault, Ankit Parag Shah, Justin Salamon:
Sound Event Detection in Synthetic Domestic Environments. 86-90 - Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Learning to Separate Sounds from Weakly Labeled Scenes. 91-95 - Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. 96-100 - Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis. 101-105 - Sunwoo Kim, Haici Yang, Minje Kim:
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. 106-110 - Satoru Emura, Hiroshi Sawada, Shoko Araki, Noboru Harada:
A Frequency-Domain BSS Method Based on ℓ1 Norm, Unitary Constraint, and Cayley Transform. 111-115 - Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-To-End Non-Negative Autoencoders for Sound Source Separation. 116-120 - Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. 121-125 - Truc Nguyen, Franz Pernkopf, Michal Kosmider:
Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction. 126-130 - Nicolas Turpault, Romain Serizel, Emmanuel Vincent:
Limitations of Weak Labels for Embedding and Tagging. 131-135 - Harsh Shrivastava, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Mt-Gcn For Multi-Label Audio Tagging With Noisy Labels. 136-140 - Mark D. McDonnell, Wei Gao:
Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths. 141-145 - Mohammad K. Ebrahimpour, Timothy M. Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello:
End-To-End Auditory Object Recognition Via Inception Nucleus. 146-150 - Maximilian Kentgens, Andreas Behler, Peter Jax:
Translation of a Higher Order Ambisonics Sound Scene Based on Parametric Decomposition. 151-155 - Diego Di Carlo, Clement Elvira, Antoine Deleforge, Nancy Bertin, Rémi Gribonval:
Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval. 156-160 - Hannes Helmholz, Jens Ahrens, David L. Alon, Sebastià V. Amengual Garí, Ravish Mehra:
Evaluation of Sensor Self-Noise In Binaural Rendering of Spherical Microphone Array Signals. 161-165 - Kentaro Ariga, Tomoya Nishida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Mutual-Information-Based Sensor Placement for Spatial Sound Field Recording. 166-170 - Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi:
Fast Acoustic Scattering Using Convolutional Neural Networks. 171-175 - Benoit Alary, Archontis Politis:
Frequency-Dependent Directional Feedback Delay Network. 176-180 - Yuma Koizumi, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, Daiki Takeuchi:
Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention. 181-185 - Vincent W. Neo, Christine Evers, Patrick A. Naylor:
PEVD-Based Speech Enhancement in Reverberant Environments. 186-190 - Marvin Tammen, Dörte Fischer, Bernd T. Meyer, Simon Doclo:
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement. 191-195 - Kristina Tesch, Timo Gerkmann:
Nonlinear Spatial Filtering for Multichannel Speech Enhancement in Inhomogeneous Noise Fields. 196-200 - Heinrich W. Löllmann, Andreas Brendel, Walter Kellermann:
Generalized Coherence-Based Signal Enhancement. 201-205 - Soumi Maiti, Michael I. Mandel:
Speaker Independence of Neural Vocoders and Their Effect on Parametric Resynthesis Speech Enhancement. 206-210 - Gongping Huang, Jacob Benesty, Jingdong Chen, Israel Cohen:
Robust and steerable kronecker product differential beamforming With rectangular microphone arrays. 211-215 - Christoph Böddeker, Tomohiro Nakatani, Keisuke Kinoshita, Reinhold Haeb-Umbach:
Jointly Optimal Dereverberation and Beamforming. 216-220 - Szymon Wozniak, Konrad Kowalczyk:
Exploiting Rays in Blind Localization of Distributed Sensor Arrays. 221-225 - Noman Akbar, Glenn Dickins, Mark R. P. Thomas, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration. 226-230 - Masahito Togami:
Multi-Channel Speech Source Separation and Dereverberation With Sequential Integration of Determined and Underdetermined Models. 231-235 - Robin Scheibler, Nobutaka Ono:
Fast and Stable Blind Source Separation with Rank-1 Updates. 236-240 - Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss:
Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network. 241-245 - Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim:
Deep Autotuner: A Pitch Correcting Network for Singing Performances. 246-250 - Alec Wright, Vesa Välimäki:
Perceptual loss function for neural modeling of audio systems. 251-255 - Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis:
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. 256-260 - Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang:
Speech-To-Singing Conversion in an Encoder-Decoder Framework. 261-265 - Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra:
Tensorflow Audio Models in Essentia. 266-270 - Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous Sound Detection Based on Interpolation Deep Neural Network. 271-275 - Wei Wei, Hongning Zhu, Emmanouil Benetos, Ye Wang:
A-CRNN: A Domain Adaptation Model for Sound Event Detection. 276-280 - Yuma Koizumi, Masahiro Yasuda, Shin Murata, Shoichiro Saito, Hisashi Uematsu, Noboru Harada:
SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds. 281-285 - Yanxiong Li, Mingle Liu, Konstantinos Drossos, Tuomas Virtanen:
Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks. 286-290 - Manjunath Mulimani, Akash B. Kademani, Shashidhar G. Koolagudi:
A Deep Neural Network-Driven Feature Learning Method for Polyphonic Acoustic Event Detection from Real-Life Recordings. 291-295 - Sixin Hong, Yuexian Zou, Wenwu Wang, Meng Cao:
Weakly Labelled Audio Tagging Via Convolutional Networks with Spatial and Channel-Wise Attention. 296-300 - Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler:
A Study on the Transferability of Adversarial Attacks in Sound Event Classification. 301-305 - Mahiout Thomas, Fillatre Lionel, Deruaz-Pepin Laurent:
Propeller Noise Detection with Deep Learning. 306-310 - Heinrich Dinkel, Kai Yu:
Duration Robust Weakly Supervised Sound Event Detection. 311-315 - Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. 316-320 - Yiwei Sun, Shabnam Ghaffarzadegan:
An Ontology-Aware Framework for Audio Event Classification. 321-325 - Jie Yan, Yan Song, Li-Rong Dai, Ian McLoughlin:
Task-Aware Mean Teacher Method for Large Scale Weakly Labeled Semi-Supervised Sound Event Detection. 326-330 - Andrew A. Catellier, Stephen D. Voran:
Wawenets: A No-Reference Convolutional Waveform-Based Approach to Estimating Narrowband and Wideband Speech Quality. 331-335 - Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen:
A Neural Network for Monaural Intrusive Speech Intelligibility Prediction. 336-340 - Roy Fejgin, Janusz Klejsa, Lars F. Villemoes, Cong Zhou:
Source Coding of Audio Signals with a Generative Model. 341-345 - Gabriel Mittag, Sebastian Möller:
Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks. 346-350 - Seong-Hyeon Shin, Seungkwon Beack, Wootaek Lim, Hochong Park:
Enhanced Method of Audio Coding Using CNN-Based Spectral Recovery with Adaptive Structure. 351-355 - Arijit Biswas, Dai Jia:
Audio Codec Enhancement with Generative Adversarial Networks. 356-360 - Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. 361-365 - Kai Zhen, Mi Suk Lee, Minje Kim:
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. 366-370 - Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. 371-375 - Shulin He, Hao Li, Xueliang Zhang:
Speakerfilter: Deep Learning-Based Target Speaker Extraction Using Anchor Speech. 376-380 - Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani:
Tackling Real Noisy Reverberant Meetings with All-Neural Source Separation, Counting, and Diarization System. 381-385 - Tomohiko Nakamura, Hiroshi Saruwatari:
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. 386-390 - Simone Spagnol:
Auditory Model Based Subsetting of Head-Related Transfer Function Datasets. 391-395 - Mengfan Zhang, Xihong Wu, Tianshu Qu:
Individual Distance-Dependent HRTFS Modeling Through A Few Anthropometric Measurements. 401-405 - Amir Ivry, Israel Cohen, Baruch Berdugo:
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments. 406-410 - Michele Geronazzo, Jason-Yves Tissieres, Stefania Serafin:
A Minimal Personalization of Dynamic Binaural Synthesis with Mixed Structural Modeling and Scattering Delay Networks. 411-415 - Hugo Caracalla, Axel Roebel:
Sound Texture Synthesis Using RI Spectrograms. 416-420 - Jérôme Daniel, Srdan Kitic:
Time Domain Velocity Vector for Retracing the Multipath Propagation. 421-425 - Jiaqi Su, Zeyu Jin, Adam Finkelstein:
Acoustic Matching By Embedding Impulse Responses. 426-430 - David Looney, Nikolay D. Gaubitch:
Joint Estimation Of Acoustic Parameters From Single-Microphone Speech Observations. 431-435 - Liming Shi, Taewoong Lee, Lijun Zhang, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
A Fast Reduced-Rank Sound Zone Control Algorithm Using The Conjugate Gradient Method. 436-440 - Meng Guo:
An Empirical Study on Acoustic Feedback Path Across Hearing Aid Users. 441-445 - Ofer Schwartz, Emanuël A. P. Habets, Sharon Gannot:
Low Complexity NLMS for Multiple Loudspeaker Acoustic ECHO Canceller Using Relative Loudspeaker Transfer Functions. 446-450 - Patrick Meyer, Samy Elshamy, Tim Fingscheidt:
A Multichannel Kalman-Based Wiener Filter Approach for Speaker Interference Reduction in Meetings. 451-455 - Johannes Fabry, Peter Jax:
Primary Path Estimator Based on Individual Secondary Path for ANC Headphones. 456-460 - Mhd Modar Halimeh, Walter Kellermann:
Efficient Multichannel Nonlinear Acoustic Echo Cancellation Based on a Cooperative Strategy. 461-465 - Meiling Hu, Jing Lu:
Active Control of Line Spectral Noise with Simultaneous Secondary Path Modeling Without Auxiliary Noise. 466-470 - Hongsen He, Jingdong Chen, Jacob Benesty, Yi Yu:
Robust Frequency-Domain Recursive Least M-Estimate Adaptive Filter For Acoustic System Identification. 471-475 - Sankha Subhra Bhattacharjee, Nithin V. George:
Nearest Kronecker Product Decomposition Based Normalized Least Mean Square Algorithm. 476-480 - Sahar Hashemgeloogerdi, Sebastian Braun:
Joint Beamforming and Reverberation Cancellation Using a Constrained Kalman Filter With Multichannel Linear Prediction. 481-485 - Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. 486-490 - Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan J. Tashev:
Predicting Word Error Rate for Reverberant Speech. 491-495 - Chitralekha Gupta, Emre Yilmaz, Haizhou Li:
Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help? 496-500 - Hendrik Schreiber, Christof Weiß, Meinard Müller:
Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert's Winterreise. 501-505 - Fabrizio Pedersoli, George Tzanetakis, Kwang Moo Yi:
Improving Music Transcription by Pre-Stacking A U-Net. 506-510 - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to Rank Music Tracks Using Triplet Loss. 511-515 - Junyan Jiang, Gus Xia, Dave B. Carlton, Chris N. Anderson, Ryan H. Miyakawa:
Transformer VAE: A Hierarchical Model for Structure-Aware and Interpretable Music Representation Learning. 516-520 - Jianyu Fan, Yi-Hsuan Yang, Kui Dong, Philippe Pasquier:
A Comparative Study of Western and Chinese Classical Music Based on Soundscape Models. 521-525 - Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Audio-Based Detection of Explicit Content in Music. 526-530 - Johanna Devaney:
New Metrics for Evaluating the Accuracy of Fundamental Frequency Estimation Approaches in Musical Signals. 531-535 - Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra:
Data-Driven Harmonic Filters for Audio Representation Learning. 536-540 - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Learning a Representation for Cover Song Identification Using Convolutional Neural Network. 541-545 - T. J. Tsai:
Towards Linking the Lakh and IMSLP Datasets. 546-550 - Ping Gao, Cheng-You You, Tai-Shih Chi:
A Multi-Dilation and Multi-Resolution Fully Convolutional Network for Singing Melody Extraction. 551-555 - Xudong Zhao, Gongping Huang, Jingdong Chen, Jacob Benesty:
An Improved Solution to the Frequency-Invariant Beamforming with Concentric Circular Microphone Arrays. 556-560 - Ryan M. Corey, Andrew C. Singer:
Binaural Audio Source Remixing with Microphone Array Listening Devices. 561-565 - Reza Varzandeh, Kamil Adiloglu, Simon Doclo, Volker Hohmann:
Exploiting Periodicity Features for Joint Detection and DOA Estimation of Speech Sources Using Convolutional Neural Networks. 566-570 - Yonggang Hu, Prasanga N. Samarasinghe, Thushara D. Abhayapala, Sharon Gannot:
Unsupervised Multiple Source Localization Using Relative Harmonic Coefficients. 571-575 - Daniele Mirabilii, Kishor Kayyar Lakshminarayana, Wolfgang Mack, Emanuël A. P. Habets:
Data-Driven Wind Speed Estimation Using Multiple Microphones. 576-580 - Christopher Schymura, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Dorothea Kolossa:
A Dynamic Stream Weight Backprop Kalman Filter for Audiovisual Speaker Tracking. 581-585 - Elior Hadad, Sharon Gannot:
Maximum Likelihood Multi-Speaker Direction of Arrival Estimation Utilizing a Weighted Histogram. 586-590 - Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki:
Overdetermined Independent Vector Analysis. 591-595 - Andreas Brendel, Thomas Haubner, Walter Kellermann:
Spatially Guided Independent Vector Analysis. 596-600 - Robin Scheibler, Nobutaka Ono:
Fast Independent Vector Extraction by Iterative SINR Maximization. 601-605 - Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-Based Prior Distribution of Joint-Diagonalization Process. 606-610 - Jan Baumann, Timo Lohrenz, Alexander Roy, Tim Fingscheidt:
Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework. 611-615 - Kazuki Shimada, Yuichiro Koyama, Akira Inoue:
Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events. 616-620 - Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. 621-625 - Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian:
Guided Learning for Weakly-Labeled Semi-Supervised Sound Event Detection. 626-630 - Kexin He, Yuhan Shen, Wei-Qiang Zhang, Jia Liu:
Staged Training Strategy and Multi-Activation for Audio Tagging with Noisy and Sparse Multi-Label Data. 631-635 - Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang:
Learning With Out-of-Distribution Data for Audio Classification. 636-640 - Yuxin Huang, Xiangdong Wang, Liwei Lin, Hong Liu, Yueliang Qian:
Multi-Branch Learning for Weakly-Labeled Sound Event Detection. 641-645 - Tatsuya Komatsu, Keisuke Imoto, Masahito Togami:
Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss. 646-650 - Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation. 651-655 - Xue Bai, Jun Du, Jia Pan, Hengshun Zhou, Yanhui Tu, Chin-Hui Lee:
High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification. 656-660 - Chandra Churh Chatterjee, Manjunath Mulimani, Shashidhar G. Koolagudi:
Polyphonic Sound Event Detection Using Transposed Convolutional Recurrent Neural Network. 661-665 - Anurag Kumar, Vamsi Krishna Ithapu:
SeCoST: : Sequential Co-Supervision for Large Scale Weakly Labeled Audio Event Detection. 666-670 - Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Deep Speech Extraction with Time-Varying Spatial Filtering Guided By Desired Direction Attractor. 671-675 - Jakub Janský, Jirí Málek, Jaroslav Cmejla, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský:
Adaptive Blind Audio Source Extraction Supervised By Dominant Speaker Identification Using X-Vectors. 676-680 - Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani:
Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution. 681-685 - Yuki Takahashi, Daichi Kitahara, Koichiro Matsuura, Akira Hirabayashi:
Determined Source Separation Using the Sparsity of Impulse Responses. 686-690 - Marc Delcroix, Tsubasa Ochiai, Katerina Zmolíková, Keisuke Kinoshita, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam. 691-695 - Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux:
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. 696-700 - Aníbal J. S. Ferreira, João Silva, Francisca Brito, Deepen Sinha:
Impact of a Shift-Invariant Harmonic Phase Model in Fully Parametric Harmonic Voice Representation and Time/Frequency Synthesis. 701-705 - Andreas Hüwel, Kamil Adiloglu, Jörg-Hendrik Bach:
Hearing aid Research Data Set for Acoustic Environment Recognition. 706-710 - Luca Becker, Alexandru Nelus, Johannes Gauer, Lars Rudolph, Rainer Martin:
Audio Feature Extraction for Vehicle Engine Noise Classification. 711-715 - Yuzhong Wu, Tan Lee:
Time-Frequency Feature Decomposition Based on Sound Duration for Acoustic Scene Classification. 716-720 - Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
Vggsound: A Large-Scale Audio-Visual Dataset. 721-725 - Enis Berk Çoban, Dara Pir, Richard So, Michael I. Mandel:
Transfer Learning from Youtube Soundtracks to Tag Arctic Ecoacoustic Recordings. 726-730 - Gue-Hwan Nam, Seok-Jun Bu, Namu Park, Jae-Yong Seo, Hyeon-Cheol Jo, Won-Tae Jeong:
Data Augmentation Using Empirical Mode Decomposition on Neural Networks to Classify Impact Noise in Vehicle. 731-735 - Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen:
Clotho: an Audio Captioning Dataset. 736-740 - Alfredo Esquivel Jaramillo, Andreas Jakobsson, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Robust Fundamental Frequency Estimation in Coloured Noise. 741-745 - Alexandru-Marius Solomes, Dan Stowell:
Efficient Bird Sound Detection on the Bela Embedded System. 746-750 - Oberon Berlage, Klaus-Michael Lux, David Graus:
Improving Automated Segmentation of Radio Shows with Audio Embeddings. 751-755 - Mathilde Brousmiche, Jean Rouat, Stéphane Dupont:
SECL-UMons Database for Sound Event Classification and Localization. 756-760 - Sandeep Kothinti, Benjamin Skerritt-Davis, Aditya Nair, Mounya Elhilali:
Synthesizing Engaging Music Using Dynamic Models of Statistical Surprisal. 761-765 - Yixin Wang, Xiaohong Guan, Youtian Du, Nan Nan:
Harmonics Based Representation in Clarinet Tone Quality Evaluation. 766-770 - Ethan Manilow, Prem Seetharaman, Bryan Pardo:
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. 771-775 - Timothy Greer, Karel Mundnich, Matthew E. Sachs, Shrikanth Narayanan:
The Role of Annotation Fusion Methods in the Study of Human-Reported Emotion Experience During Music Listening. 776-780 - Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
Content Based Singing Voice Extraction from a Musical Mixture. 781-785 - António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra:
Neural Percussive Synthesis Parameterised by High-Level Timbral Features. 786-790 - Ryusei Nakatsu, Daichi Kitahara, Akira Hirabayashi:
Non-Griffin-Lim Type Signal Recovery from Magnitude Spectrogram. 791-795 - Krishna Subramani, Preeti Rao, Alexandre D'Hooge:
Vapar Synth - A Variational Parametric Model for Audio Synthesis. 796-800 - Mathieu Lagrange, Félix Gontier:
Bandwidth Extension of Musical Audio Signals With No Side Information Using Dilated Convolutional Neural Networks. 801-805 - Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. 806-810 - Venkata Subramanian Viraraghavan, Arpan Pal, Hema A. Murthy, Rangarajan Aravind:
State-Based Transcription of Components of Carnatic Music. 811-815 - David Samuel, Aditya Ganeshan, Jason Naradowsky:
Meta-Learning Extractors for Music Source Separation. 816-820 - Yoshiki Masuyama, Masahito Togami, Tatsuya Komatsu:
Consistency-Aware Multi-Channel Speech Enhancement Using Deep Neural Networks. 821-825 - Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Phase Reconstruction Based On Recurrent Phase Unwrapping With Deep Neural Networks. 826-830 - Samuel Sonning, Christian Schüldt, Hakan Erdogan, Scott Wisdom:
Performance Study of a Convolutional Time-Domain Audio Separation Network for Real-Time Speech Denoising. 831-835 - Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. 836-840 - Yochai Yemini, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
A Composite DNN Architecture for Speech Enhancement. 841-845 - Li Li, Kazuhito Koishida:
Geometrically Constrained Independent Vector Analysis for Directional Speech Enhancement. 846-850 - Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Real-Time Speech Enhancement Using Equilibriated RNN. 851-855 - Dörte Fischer, Simon Doclo:
Subspace-Based Speech Correlation Vector Estimation for Single-Microphone Multi-Frame MVDR Filtering. 856-860 - Heming Wang, DeLiang Wang:
Time-Frequency Loss for CNN Based Speech Super-Resolution. 861-865 - Xiang Hao, Chenglin Xu, Nana Hou, Lei Xie, Eng Siong Chng, Haizhou Li:
Time-Domain Neural Network Approach for Speech Bandwidth Extension. 866-870 - Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, Harishchandra Dubey, Ross Cutler, Ivan Tashev:
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement. 871-875 - Hector E. Romero, Ning Ma, Guy J. Brown:
Snorer Diarisation Based On Deep Neural Network Embeddings. 876-880 - Changhong Wang, Vincent Lostanlen, Emmanouil Benetos, Elaine Chew:
Playing Technique Recognition by Joint Time-Frequency Scattering. 881-885 - Félix Gontier, Mathieu Lagrange, Catherine Lavandier, Jean-François Petiot:
Privacy Aware Acoustic Scene Synthesis Using Deep Spectral Feature Inversion. 886-890 - Mario Madruga, Yolanda Campos-Roca, Carlos J. Pérez:
Robustness Assessment of Automatic Reinke's Edema Diagnosis Systems. 891-895 - Matt Whitehill, Jake Garrison, Shwetak N. Patel:
Whosecough: In-the-Wild Cougher Verification Using Multitask Learning. 896-900 - Jason Cramer, Vincent Lostanlen, Andrew Farnsworth, Justin Salamon, Juan Pablo Bello:
Chirping up the Right Tree: Incorporating Biological Taxonomies into Deep Bioacoustic Classifiers. 901-905 - Boqiang Fan, Wayne K. Goodman, Raymond Y. Cho, Sameer A. Sheth, Richard R. Bouchard, Behnaam Aazhang:
Beamforming Design for High-Resolution Low-Intensity Focused Ultrasound Neuromodulation. 906-910 - Xuan Dong, Donald S. Williamson:
An Attention Enhanced Multi-Task Model for Objective Speech Assessment in Real-World Environments. 911-915 - Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts:
Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. 916-920 - Sachiko Kurihara, Masahiro Fukui, Suehiro Shimauchi, Noboru Harada:
Subjective Quality Estimation Using PESQ For Hands-Free Terminals. 921-925 - Xuyang Zhao, Jordi Solé-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao, Toshihisa Tanaka, Qibin Zhao:
Classification of Epileptic IEEG Signals by CNN and Data Augmentation. 926-930 - Touseef Yaqoob, Saira Aziz, Sajid Ahmed, Osama Amin, Mohamed-Slim Alouini:
Fractional Fourier Transform Based QRS Complex Detection in ECG Signal. 931-935 - Xin Tian, Qiang Zhu, Yuenan Li, Min Wu:
Cross-Domain Joint Dictionary Learning for ECG Reconstruction from PPG. 936-940 - Mohammad Jalilpour-Monesi, Bernd Accou, Jair Montoya-Martínez, Tom Francart, Hugo Van hamme:
An LSTM Based Architecture to Relate Speech Stimulus to Eeg. 941-945 - Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. 946-950 - Zheng Cao, Jialin Shi, Ji Wu:
Reversal No Longer Matters: Attention-Based Arrhythmia Detection with Lead-Reversal ECG Data. 951-955 - Daniel de Marchi, Amarjit Budhiraja:
Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification. 956-960 - Álvaro S. Hervella, Lucía Ramos, José Rouco, Jorge Novo, Marcos Ortega:
Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images. 961-965 - Antoine Salomon, Cesar Augusto Valades-Cruz, Ludovic Leconte, Charles Kervrann:
Dense Mapping of Intracellular Diffusion and Drift from Single-Particle Tracking Data Analysis. 966-970 - Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang:
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. 971-975 - Zhu Meng, Zhicheng Zhao, Fei Su, Weibao Wang:
Adaptive Elastic Loss Based on Progressive Inter-Class Association for Cervical Histology Image Segmentation. 976-980 - Meng Yan, Qing Liu, Zhihua Yin, Du Wang, Yixiong Liang:
A Bidirectional Context Propagation Network for Urine Sediment Particle Detection in Microscopic Images. 981-985 - Rafael Henrique Vareto, Araceli Marcia Saldanha, William Robson Schwartz:
The Swax Benchmark: Attacking Biometric Systems with Wax Figures. 986-990 - Matthew King-Hang Ma, Tan Lee, Manson Cheuk-Man Fong, William Shi-Yuan Wang:
Resting-State EEG-Based Biometrics with Signals Features Extracted by Multivariate Empirical Mode Decomposition. 991-995 - Zitong Yu, Yunxiao Qin, Xiaqing Xu, Chenxu Zhao, Zezheng Wang, Zhen Lei, Guoying Zhao:
Auto-Fas: Searching Lightweight Networks for Face Anti-Spoofing. 996-1000 - Amir Mohammadi, Sushil Bhattacharjee, Sébastien Marcel:
Domain Adaptation for Generalization of Face Presentation Attack Detection in Mobile Settengs with Minimal Information. 1001-1005 - Caiyong Wang, Yunlong Wang, Boqiang Xu, Yong He, Zhiwei Dong, Zhenan Sun:
A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics. 1006-1010 - Tiantian Feng, Shrikanth S. Narayanan:
Modeling Behavioral Consistency in Large-Scale Wearable Recordings of Human Bio-Behavioral Signals. 1011-1015 - Tiantian Feng, Brandon M. Booth, Shrikanth S. Narayanan:
Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study. 1016-1020 - Amine Haboub, Hamza Baali, Abdesselam Bouzerdoum:
Multichannel Signal Classification Using Vector Autoregression. 1021-1025 - Muzammil Saeed, Clive Cheong Took, Stephen R. Alty:
Efficient Algorithm to Implement Sliding Singular Spectrum Analysis with Application to Biomedical Signal Denoising. 1026-1029 - Jonathan Martinez, Ali Akbari, Kaan Sel, Roozbeh Jafari:
Strategic Attention Learning for Modality Translation. 1030-1034 - Aimin Jiang, Jing Shang, Weigao Cheng, Xiaofeng Liu, Hon Keung Kwan, Yanping Zhu:
Sparse CSP Algorithm via Joint Spatio-Temporal Filtering. 1035-1039 - Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. 1040-1044 - Puneet Mathur, Mehak Piplani, Ramit Sawhney, Amit Jindal, Rajiv Ratn Shah:
Mixup Multi-Attention Multi-Tasking Model for Early-Stage Leukemia Identification. 1045-1049 - Xuran Zhao, Luyang Yu, Xun Wang:
Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms. 1050-1054 - Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. 1055-1059 - Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama:
Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. 1060-1064 - Yaowei Li, Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu:
Classify and Explain: An Interpretable Convolutional Neural Network For Lung Cancer Diagnosis. 1065-1069 - Yanan Lv, Xi Chen, Chang Shu, Hua Han:
Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue. 1070-1074 - Sylvain Prigent, Stephanie Dutertre, Charles Kervrann:
Empirical Sure-Guided Microscopy Super-Resolution Image Reconstruction from Confocal Multi-Array Detectors. 1075-1079 - Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis. 1080-1084 - Rui Xu, Xinchen Ye, Guiliang Jiang, Tiantian Liu, Liang Li, Satoshi Tanaka:
Retinal Vessel Segmentation via a Semantics and Multi-Scale Aggregation Network. 1085-1089 - Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans:
Adaptive Matched Filter using Non-Target Free Training Data. 1090-1094 - Jan Dorazil, Rene Repp, Thomas Kropfreiter, Richard Prüller, Kamil Ríha, Franz Hlawatsch:
Feature Drift Resilient Tracking of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion. 1095-1099 - Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using The Parafac2 Model. 1100-1104 - Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia:
A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm. 1105-1109 - Yen-Huan Li:
Online Positron Emission Tomography By Online Portfolio Selection. 1110-1114 - Shubham Sharma, K. V. S. Hari, Geert Leus:
Space Filling Curves for MRI Sampling. 1115-1119 - Shubham Sharma, K. V. S. Hari, Geert Leus:
K-Space Trajectory Design for Reduced MRI Scan Time. 1120-1124 - Shishira R. Maiya, Puneet Mathur:
Rethinking Retinal Landmark Localization as Pose Estimation: Naïve Single Stacked Network for Optic Disk and Fovea Detection. 1125-1129 - Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund:
Hidden Markov Models for Sepsis Detection in Preterm Infants. 1130-1134 - Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe:
Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network. 1135-1139 - Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik:
Speech Breathing Estimation Using Deep Learning Methods. 1140-1144 - Zengyang Mei, Qisong Wu, Zhengyu Hu, Jun Tao:
A Fast Non-Contact Vital Signs Detection Method Based on Regional Hidden Markov Model in A 77ghz Lfmcw Radar System. 1145-1149 - Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans:
Robust Likelihood Ratio Test Using α-Divergence. 1150-1154 - Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. 1155-1159 - Parinthorn Manomaisaowapak, Jitkomut Songsiri:
Learning A Common Granger Causality Network Using A Non-Convex Regularization. 1160-1164 - Sakyajit Bhattacharya, Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha, Avik Ghose:
Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG. 1165-1169 - Yibin Tang, Xufei Li, Ying Chen, Yuan Zhong, Aimin Jiang, Xiaofeng Liu:
High-Accuracy Classification of Attention Deficit Hyperactivity Disorder with L2, 1-Norm Linear Discriminant Analysis. 1170-1174 - Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
A Neural Network-Based Spike Sorting Feature Map That Resolves Spike Overlap in the Feature Space. 1175-1179 - Tze-Shen Chen, Ting-Ya Lin, Y.-W. Peter Hong:
Gait Phase Segmentation Using Weighted Dynamic Time Warping and K-Nearest Neighbors Graph Embedding. 1180-1184 - Siddharth Subramani, M. V. Achuth Rao, Divya Giridhar, Prasanna Suresh Hegde, Prasanta Kumar Ghosh:
Automatic Classification of Volumes of Water Using Swallow Sounds from Cervical Auscultation. 1185-1189 - Ya-Lin Huang, Wan-Ting Hsieh, Hao-Chun Yang, Chi-Chun Lee:
Conditional Domain Adversarial Transfer for Robust Cross-Site ADHD Classification Using Functional MRI. 1190-1194 - Saeid Sanei, Clive Cheong Took, Delaram Jarchi, Ales Procházka:
Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State. 1195-1199 - Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard:
Online Graph Topology Inference with Kernels For Brain Connectivity Estimation. 1200-1204 - Amir Aminifar:
Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study. 1205-1209 - Shouvik Majumder, Fabio Apicella, Filippo Muratori, Koel Das:
Detecting Autism Spectrum Disorder Using Topological Data Analysis. 1210-1214 - Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories. 1215-1219 - David D'Croz-Baron, Mary C. Baker, Tanja Karp:
Time-Frequency Analysis of Unimodal Sensory Processing In Autism Spectrum Disorder. 1220-1224 - Poomipat Boonyakitanont, Apiwat Lek-Uthai, Jitkomut Songsiri:
Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG. 1225-1229 - Danyang Wang, Yuchun Fang, Yifan Li, Changfeng Chai:
Enhance feature representation of electroencephalogram for Seizure detection. 1230-1234 - Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik:
Speech Synthesis Using EEG. 1235-1238 - Xueyuan Xu, Fulin Wei, Zhiyuan Zhu, Jianhong Liu, Xia Wu:
Eeg Feature Selection Using Orthogonal Regression: Application to Emotion Recognition. 1239-1243 - Takahiko Sakai, Taku Shoji, Noboru Yoshida, Kosuke Fukumori, Yuichi Tanaka, Toshihisa Tanaka:
Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks. 1244-1248 - Rohan Banerjee, Avik Ghose:
A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder. 1249-1253 - RaviShankar Prasad, Gürkan Yilmaz, Olivier Chételat, Mathew Magimai-Doss:
Detection Of S1 And S2 Locations In Phonocardiogram Signals Using Zero Frequency Filter. 1254-1258 - Lin Yao, Jonathan L. Baker, Jae-Wook Ryou, Nicholas D. Schiff, Keith P. Purpura, Mahsa Shoaran:
Mental Fatigue Prediction from Multi-Channel ECOG Signal. 1259-1263 - Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier:
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. 1264-1268 - Yi-Huan Chen, A. Husain Twing, Diaa Badawi, Joseph Danavi, Mark McCauley, A. Enis Çetin:
Atrial Fibrillation Risk Prediction from Electrocardiogram and Related Health Data with Deep Neural Network. 1269-1273 - Ming Chen, Guijin Wang, Hui Chen, Zijian Ding:
Adaptive Region Aggregation Network: Unsupervised Domain Adaptation with Adversarial Training for ECG Delineation. 1274-1278 - Tamanna T. K. Munia, Selin Aviyente:
Matching Pursuit Based Dynamic Phase-Amplitude Coupling Measure. 1279-1283 - Rachele Anderson, Maria Sandsten:
Multitaper Spectral Granger Causality with Application to Ssvep. 1284-1288 - Eugene Lee, Annie Ho, Yi-Ting Wang, Cheng-Han Huang, Chen-Yi Lee:
Cross-Domain Adaptation for Biometric Identification Using Photoplethysmogram. 1289-1293 - Ehsanul Haque Nirjhar, Amir H. Behzadan, Theodora Chaspari:
Exploring Bio-Behavioral Signal Trajectories of State Anxiety During Public Speaking. 1294-1298 - Ashwin De Silva, Malsha V. Perera, Kithmin Wickramasinghe, Asma M. Naim, Thilina Dulantha Lalitharatne, Simon Lind Kappel:
Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals. 1299-1303 - Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi:
XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification. 1304-1308 - Guanchao Feng, J. Gerald Quirk, Petar M. Djuric:
Discovering Causalities from Cardiotocography Signals using Improved Convergent Cross Mapping with Gaussian Processes. 1309-1313 - Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis:
Lai-Net: Local-Ancestry Inference with Neural Networks. 1314-1318 - Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey, Albert Montillo:
Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability. 1319-1323 - Aanchal Mongia, Angshul Majumdar:
Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. 1324-1328 - Chong Wu, Houwang Zhang, Le Zhang, Hanying Zheng:
Identification of Essential Proteins Using A Novel Multi-Objective Optimization Method. 1329-1333 - Roshan Konda, Hang Wu, May D. Wang:
Graph Convolutional Neural Networks to Classify Whole Slide Images. 1334-1338 - Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh:
Deep James-Stein Neural Networks For Brain-Computer Interfaces. 1339-1343 - Satyam Kumar, Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera:
Formulating Divergence Framework for Multiclass Motor Imagery EEG Brain Computer Interface. 1344-1348 - Suguru Kanoga, Takayuki Hoshino, Hideki Asoh:
Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for Semg Pattern Recognition. 1349-1353 - Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network. 1354-1358 - Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. 1359-1363 - Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte:
Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications. 1364-1368 - Yiqian Wang, Junkang Zhang, Cheolhong An, Melina Cavichini, Mahima Jhingan, Manuel J. Amador-Patarroyo, Christopher P. Long, Dirk-Uwe G. Bartsch, William R. Freeman, Truong Q. Nguyen:
A Segmentation Based Robust Deep Learning Framework for Multimodal Retinal Image Registration. 1369-1373 - Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li:
Dense Residual Network for Retinal Vessel Segmentation. 1374-1378 - Tao Lei, Wenzheng Zhou, Yuxiao Zhang, Risheng Wang, Hongying Meng, Asoke K. Nandi:
Lightweight V-Net for Liver Segmentation. 1379-1383 - Chuan Hu, Guixia Kang, Beibei Hou, Yiyuan Ma, Fabrice Labeau, Zichen Su:
Acu-Net: A 3D Attention Context U-Net for Multiple Sclerosis Lesion Segmentation. 1384-1388 - Shiv Gehlot, Anubha Gupta, Ritu Gupta:
EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation. 1389-1393 - Tianyu Li, Mary L. Comer, Josiane Zerubia:
An Unsupervised Retinal Vessel Extraction and Segmentation Method Based On a Tube Marked Point Process Model. 1394-1398 - Wei Huang, Zhitong Xiong, Qi Wang, Xuelong Li:
KALM: Key Area Localization Mechanism for Abnormality Detection in Musculoskeletal Radiographs. 1399-1403 - Hang Xu, Shijie Geng, Yu Qiao, Kuan Xu, Yueyang Gu:
Combining CGAN and Mil for Hotspot Segmentation in Bone Scintigraphy. 1404-1408 - Qi Zhang, Jianhang Zhou, Bob Zhang:
A Noninvasive Method to Detect Diabetes Mellitus and Lung Cancer Using the Stacked Sparse autoencoder. 1409-1413 - Pengcheng Guo, Xiangdong Su, Haoran Zhang, Meng Wang, Feilong Bao:
A Multi-Scaled Receptive Field Learning Approach for Medical Image Segmentation. 1414-1418 - Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. 1419-1423 - Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao:
Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning. 1424-1428 - Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos, Yanting Ma:
Blind Multi-Spectral Image Pan-Sharpening. 1429-1433 - Audrey Repetti, Yves Wiaux:
A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging. 1434-1438 - Zhikang Zhang, Kai Xu, Fengbo Ren:
Cra: A Generic Compression Ratio Adapter for End-To-End Data-Driven Image Compressive Sensing Reconstruction Frameworks. 1439-1443 - Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti:
Revealing Hidden Drawings in Leonardo's 'the Virgin of the Rocks' from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation. 1444-1448 - Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao:
3D Unknown View Tomography Via Rotation Invariants. 1449-1453 - Oktay Karakus, Ercan E. Kuruoglu, Alin Achim:
Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution. 1454-1458 - Herman Verinaz-Jadan, Pingfan Song, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti:
Volume Reconstruction for Light Field Microscopy. 1459-1463 - Sheng-Yeh Chen, Yung-Yu Chuang:
Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning. 1464-1468 - Miguel Heredia Conde, Keiichiro Kagawa, Tomoya Kokado, Shoji Kawahito, Otmar Loffeld:
Single-Shot Real-Time Multiple-Path Time-of-Flight Depth Imaging for Multi-Aperture and Macro-Pixel Sensors. 1469-1473 - Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic:
Fast Optical System Identification by Numerical Interferometry. 1474-1478 - Fahimeh Arab, M. Salman Asif:
Fourier Phase Retrieval with Arbitrary Reference Signal. 1479-1483 - Zhishen Tong, Jian Wang, Shensheng Han:
Preconditioned Ghost Imaging Via Sparsity Constraint. 1484-1488 - Kailong Zhou, Cheolkon Jung:
Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance. 1489-1493 - Hoai-Nam Nguyen, Christine Guillemot:
Color and Angular Reconstruction of Light Fields from Incomplete-Color Coded Projections. 1494-1498 - Zhengguo Li, Jinghong Zheng, Shoulie Xie, Haiyan Shu:
Cross Image Cubic Interpolator for Spatially Varying Exposures. 1499-1503 - Shuping Zhao, Bob Zhang, Shuyi Li:
Discriminant and Sparsity Based Least Squares Regression with l1 Regularization for Feature Representation. 1504-1508 - Fahong Zhang, Qi Wang, Xuelong Li:
Deep Meta-Relation Network for Visual Few-Shot Learning. 1509-1513 - Ludivine Nus, Sebastian Miron, Benoît Jaillais, Saïd Moussaoui, David Brie:
A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images. 1514-1518 - Muhammad Asad Lodhi, Yanting Ma, Hassan Mansour, Petros T. Boufounos, Dehong Liu:
Inverse Multiple Scattering with Phaseless Measurements. 1519-1523 - Yayun Cheng, Ziran Zhao, Yingxin Wang, Yingying Niu:
Multi-Polarization Information Fusion for Object Contour Display in Passive Millimeter-Wave and Terahertz Security Imaging. 1524-1528 - Daniele Picone, Aneline Dolet, Silvère Gousset, Didier Voisin, Mauro Dalla Mura, Etienne Le Coarer:
Characterisation of a Snapshot Fourier Transform Imaging Spectrometer Based on an Array of Fabry-Perot Interferometers. 1529-1533 - Jian-Ren Wang, Yung-Yu Chuang:
Shadow Removal of Text Document Images by Estimating Local and Global Background Colors. 1534-1538 - Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. 1539-1543 - Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee:
dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. 1544-1548 - Alexandre Levisse, Marco Rios, Miguel Peón Quirós, David Atienza:
Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems. 1549-1552 - Vanchinathan Venkataramani, Bruno Bodin, Aditi Kulkarni Mohite, Tulika Mitra, Li-Shiuan Peh:
Time-Predictable Software-Defined Architecture with Sdf-Based Compiler Flow for 5g Baseband Processing. 1553-1557 - A. Soorishetty, Jian Zhou, Subhankar Pal, David T. Blaauw, H. Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Accelerating Linear Algebra Kernels on a Massively Parallel Reconfigurable Architecture. 1558-1562 - Satyajit Das, Rohit Prasad, Kevin J. M. Martin, Philippe Coussy:
Energy Efficient Acceleration Of Floating Point Applications Onto CGRA. 1563-1567 - Ching-Chen Wang, Ching-Te Chiu, Chao-Tsung Huang, Yu-Chun Ding, Li-Wei Wang:
Fast and Accurate Embedded DCNN for Rgb-D Based Sign Language Recognition. 1568-1572 - Wei-Zhong Zheng, Vu-Hoang Tran, Ching-Chun Huang:
D2NA: Day-To-Night Adaptation for Vision based Parking Management System. 1573-1577 - Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios D. Doulamis:
EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION. 1578-1582 - Gonçalo Castel-Branco, Gabriel Falcão, Fernando Perdigão:
Enhancing the Labelling of Audio Samples for Automatic Instrument Classification Based on Neural Networks. 1583-1587 - Sha Hu, Wenquan Hu, Dzevdan Kapetanovic, Neng Wang:
Deep-Neural-Network Based Fall-Back Mechanism in Interference-Aware Receiver Design. 1588-1892 - Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. 1593-1597 - Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag:
Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. 1598-1602 - Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu:
Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. 1603-1607 - Andreas Toftegaard Kristensen, Robert Giterman, Alexios Balatsoukas-Stimming, Andreas Burg:
Lupulus: A Flexible Hardware Accelerator for Neural Networks. 1608-1612 - Wen-Yi Lo, Ching-Te Chiu, Jie-Yu Luo:
Depth Estimation From Single Image Through Multi-Path-Multi-Rate Diverse Feature Extractor. 1613-1617 - Jiou-Ai Lin, Ching-Te Chiu, Yen-Yu Cheng:
Object Detection with Color and Depth Images with Multi-Reduced Region Proposal Network and Multi-Pooling. 1618-1622 - Chao-Hsun Yang, Long-Wen Chang:
Deblurring And Super-Resolution Using Deep Gated Fusion Attention Networks For Face Images. 1623-1627 - Yusen Fan, Feng Zhang, Chenshu Wu, Beibei Wang, K. J. Ray Liu:
Indoor Heading Direction Estimation Using Rf Signals. 1628-1632 - Shulin Wen, Woon-Seng Gan, Dong-Yuan Shi:
An Improved Selective Active Noise Control Algorithm Based on Empirical Wavelet Transform. 1633-1637 - Jianwei Ke, Alex J. Watras, Jae-Jun Kim, Hewei Liu, Hongrui Jiang, Yu Hen Hu:
Towards Real-Time, Multi-View Video Stereopsis. 1638-1642 - Chao-Tsung Huang:
Ernet Family: Hardware-Oriented Cnn Models For Computational Imaging Using Block-Based Inference. 1643-1647 - Georgios Georgis, Alexios Thanos, Marcin Filo, Konstantinos Nikitopoulos:
A DSP Acceleration Framework For Software-Defined Radios On X86 64. 1648-1652 - Chia-Ho Hsu, Ching-Te Chiu, Chia-Yu Kuan:
Fast Single-View 3D Object Reconstruction with Fine Details Through Dilated Downsample and Multi-Path Upsample Deep Neural Network. 1653-1657 - João Vieira, Nuno Roma, Gabriel Falcão, Pedro Tomás:
Processing Convolutional Neural Networks on Cache. 1658-1662 - Ibrahim Farhat, Wassim Hamidouche, Adrien Grill, Daniel Ménard, Olivier Déforges:
Lightweight Hardware Implementation of VVC Transform Block for ASIC Decoder. 1663-1667 - Tzu-Ying Lin, Ching-Te Chiu, Ching-Tung Tang:
Rgb-D Based Multi-Modal Deep Learning for Face Identification. 1668-1672 - Han-Sol Lee, Eundoo Heo, Wonseok Lee, Do-Chang Ahn, Jeonghyeon Cheon, Kyungho Kim, Kyunghwan Lee, Jeongguk Lee, Yunseok Choi, Soonkeun Chang:
A Real Time Implementation of a Bayer Domain Image Deblurring Core for Optical Blur Compensation. 1673-1677 - Sheng-Chieh Lin, Wen-Yuh Su, Po-Chuan Chien, Ming-Feng Tsai, Chuan-Ju Wang:
Self-Attentive Sentimental Sentence Embedding for Sentiment Analysis. 1678-1682 - Yujunrong Ma, Jiahao Wu, Shuvra S. Bhattacharyya, Jani Boutellier:
Decidable Variable-Rate Dataflow for Heterogeneous Signal Processing Systems. 1683-1687 - Hassan Harb, Cyrille Chavet:
Back-to-Back Butterfly Network, an Adaptive Permutation Network for New Communication Standards. 1688-1692 - Oscar Ferraz, Vítor Silva, Gabriel Falcão:
1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform. 1693-1697 - Jih-Yang Lin, Pei-Yun Tsai:
Design of A Convergence-Aware Based Expectation Propagation Algorithm for Uplink Mimo Scma Systems. 1698-1702 - Zihao Gong, Yifei Shen, Houren Ji, Wenqing Song, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Bipartite Belief Propagation Polar Decoding With Bit-Flipping. 1703-1707 - Chun-Hsiang Chen, Chieh-Fang Teng, An-Yeu Andy Wu:
Low-Complexity LSTM-Assisted Bit-Flipping Algorithm For Successive Cancellation List Polar Decoder. 1708-1712 - Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. 1713-1717 - Yapeng Zhao, Kai Kang, Hua Qian, Xiliang Luo, Yanliang Jin:
Greedy Hybrid Rate Adaptation in Dynamic Wireless Communication Environment. 1718-1722 - Yuqian Hu, Feng Zhang, Chenshu Wu, Beibei Wang, K. J. Ray Liu:
A WiFi-Based Passive Fall Detection System. 1723-1727 - Yun Wu, Peng Wang, John McAllister:
Programmable Dataflow Accelerators: A 5G OFDM Modulation/Demodulation Case Study. 1728-1732 - Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross:
Simplified Dynamic SC-Flip Polar Decoding. 1733-1737 - Yi Xie, Cong Shi, Zhuohang Li, Jian Liu, Yingying Chen, Bo Yuan:
Real-Time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems. 1738-1742 - Aurel A. Lazar, Tingkai Liu, Chung-Heng Yeh:
An Odorant Encoding Machine for Sampling, Reconstruction and Robust Representation of Odorant Identity. 1743-1747 - Shih-Yao Huang, Wei-Chih Chen, Chao-Tsung Huang:
FIR Filter Design and Implementation for Phase-Based Processing. 1748-1752 - Yoonho Boo, Wonyong Sung:
Fixed-Point Optimization of Transformer Neural Network. 1753-1757 - Vineet Panchbhaiyye, Tokunbo Ogunfunmi:
A Fifo Based Accelerator for Convolutional Neural Networks. 1758-1762 - Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
Soft-Output Finite Alphabet Equalization for mmWave Massive MIMO. 1763-1767 - Yu Zheng, Timothy M. Hospedales, Yongxin Yang:
Diversity and Sparsity: A New Perspective on Index Tracking. 1768-1772 - Seyed Hadi Mirfarshbafan, Christoph Studer:
Sparse Beamspace Equalization for Massive MU-MIMO MMWave Systems. 1773-1777 - Jia-Hao Syu, Mu-En Wu, Chun-Hao Chen, Jan-Ming Ho:
Threshold-Adjusted ORB Strategies with Genetic Algorithm and Protective Closing Strategy on Taiwan Futures Market. 1778-1782 - Holger Boche, Volker Pohl:
Can every analog system be simulated on a digital computer? 1783-1787 - Yo-Woei Pua, Ching-Yao Chou, An-Yeu Andy Wu:
Low-Complexity Compressed Alignment-Aided Compressive Analysis for Real-Time Electrocardiography Telemonitoring. 1788-1792 - Xiaofeng Hu, Chunhua Deng, Bo Yuan:
Reduced-Complexity Singular Value Decomposition For Tucker Decomposition: Algorithm And Hardware. 1793-1797 - Huang-Chang Lee, Yu-Sheng Pao, Cheng-Yi Chi, Hsin-Yu Lee, Yeong-Luh Ueng:
An Early Termination Scheme for Successive Cancellation List Decoding of Polar Codes. 1798-1802 - Jinhwan Park, Xue Qian, Youngmin Jo, Wonyong Sung:
Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks. 1803-1807 - Golnoosh Elhami, Adam James Scholefield, Martin Vetterli:
Shape From Bandwidth: Central Projection Case. 1808-1812 - Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan:
Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. 1813-1817 - Hong Liu, Zhisheng Lu, Wei Shi, Juanhui Tu:
A Fast and Accurate Super-Resolution Network Using Progressive Residual Learning. 1818-1822 - Shaohui Li, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong:
REV-AE: A Learned Frame Set for Image Reconstruction. 1823-1827 - Kewen Han, Xinguang Xiang:
Decomposed Cyclegan for Single Image Deraining With Unpaired Data. 1828-1832 - Yunjie Wu, Zhengxing Sun, Youcheng Song, Yunhan Sun, Jinlong Shi:
Slicenet: Slice-Wise 3D Shapes Reconstruction from Single Image. 1833-1837 - A. Sophia Koepke, Olivia Wiles, Yael Moses, Andrew Zisserman:
Sight to Sound: An End-to-End Approach for Visual Piano Transcription. 1838-1842 - Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan:
Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network. 1843-1847 - Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Focus on Semantic Consistency for Cross-Domain Crowd Understanding. 1848-1852 - Haoxiang Zhong, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Improved Real-Time Visual Tracking via Adversarial Learning. 1853-1857 - Zhu Chen, Weihai Li, Chi Fei, Bin Liu, Nenghai Yu:
Spatial-Temporal Feature Aggregation Network For Video Object Detection. 1858-1862 - Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura:
Using Panoramic Videos for Multi-Person Localization and Tracking In A 3D Panoramic Coordinate. 1863-1867 - Hong Liu, Meijia Song, Wei Shi, Xia Li:
Position Constraint Loss For Fashion Landmark Estimation. 1868-1872 - Faming Wu, Andy J. Ma, Yangshan Pan, Yuan Gao, Xiaowei Yan:
Receptive Field Pyramid Network for Object Detection. 1873-1877 - Yueyang Gu, Yu Qiao, Kuan Xu, Hang Xu, Xingqi Fang:
Robust Visual Tracking with Context-Based Active Occlusion Recognition. 1878-1882 - Shihua Xiao, Nan Sang, Xupeng Wang, Xiangtian Ma:
Leveraging Ordinal Regression With Soft Labels For 3d Head Pose Estimation From Point Sets. 1883-1887 - Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. 1888-1892 - Cheng-Yu Fan, Chao-Peng Liu, Kuan-Chun Wang, Jiun-Hao Jhan, Yu-Chiang Frank Wang, Jun-Cheng Chen:
Face Feature Recovery via Temporal Fusion for Person Search. 1893-1897 - Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro:
Edgefool: an Adversarial Image Enhancement Filter. 1898-1902 - Huijiao Wang, Haijian Zhang, Lei Yu, Li Wang, Xulei Yang:
Facial Feature Embedded Cyclegan For Vis-Nir Translation. 1903-1907 - Wei Su, Yuan Yuan, Qi Wang:
Deep Image Deblurring Using Local Correlation Block. 1908-1912 - Chuanming Wang, Huiyuan Fu, Huadong Ma:
Global Structure Graph Guided Fine-Grained Vehicle Recognition. 1913-1917 - Wei Jia, Li Li, Zhu Li, Shuai Zhao, Shan Liu:
Triplet Loss Feature Aggregation for Scalable Hash. 1918-1922 - Jing Gao, Wenjun Zhang, Zhikui Chen, Fangming Zhong:
HDMFH: Hypergraph Based Discrete Matrix Factorization Hashing for Multimodal Retrieval. 1923-1927 - Yiting Cheng, Chuanfa Zhang, Kangzheng Gu, Lizhe Qi, Zhongxue Gan, Wenqiang Zhang:
Multi-Scale Deep Feature Fusion for Vehicle Re-Identification. 1928-1932 - Yinxue Yu, Chao Liang, Weijian Ruan, Longxiang Jiang:
Crowdsourcing-Based Ranking Aggregation for Person Re-Identification. 1933-1937 - Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin:
Deep Multi-Region Hashing. 1938-1942 - Fangming Zhong, Zhikui Chen, Geyong Min, Feng Xia:
Semantic Augmentation Hashing for Zero-Shot Image Retrieval. 1943-1947 - Sefik Emre Eskimez, Ross K. Maddox, Chenliang Xu, Zhiyao Duan:
End-To-End Generation of Talking Faces from Noisy Speech. 1948-1952 - Sunhee Hwang, Hyeran Byun:
Unsupervised Image-to-Image Translation Via Fair Representation of Gender Bias. 1953-1957 - Minho Park, Sangmin Lee, Yong Man Ro:
Video Frame Interpolation Via Exceptional Motion-Aware Synthesis. 1958-1962 - Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang:
Look Globally, Age Locally: Face Aging With an Attention Mechanism. 1963-1967 - Yining Lang, Yuan He, Jianfeng Dong, Fan Yang, Hui Xue:
Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention. 1968-1972 - (Withdrawn) Intensity-Image Reconstruction for Event Cameras Using Convolutional Neural Network. 1973-1977
- Maja Krivokuca, Christine Guillemot:
Colour Compression of Plenoptic Point Clouds Using Raht-Klt with Prior Colour Clustering and Specular/Diffuse Component Separation. 1978-1982 - Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic:
Super-Resolution of 3D Color Point Clouds Via Fast Graph Total Variation. 1983-1987 - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
Deep Monocular Video Depth Estimation Using Temporal Attention. 1988-1992 - Kai Guo, Seongwook Song, Soonkeun Chang, Tae-ui Kim, Seungmin Han, Irina Kim:
Robust Full-Fov Depth Estimation in Tele-Wide Camera System. 1993-1997 - Yan Li, Lu Zhang, Qiong Wang, Gauthier Lafruit:
Manet: Multi-Scale Aggregated Network For Light Field Depth Estimation. 1998-2002 - Junke Li, Xin Jin:
EPI-Neighborhood Distribution Based Light Field Depth Estimation. 2003-2007 - Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Stochastic Multi-Scale Aggregation Network for Crowd Counting. 2008-2012 - Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies. 2013-2017 - Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. 2018-2022 - Xian Zhong, Oubo Gong, Wenxin Huang, Jingling Yuan, Bo Ma, Ryan Wen Liu:
Multi-Scale Residual Network for Image Classification. 2023-2027 - Hang Dong, Xinyi Zhang, Yu Guo, Fei Wang:
Deep Multi-Scale Gabor Wavelet Network for Image Restoration. 2028-2032 - Jing Liu, Yuan Xie, Haichuan Song, Wang Yuan, Lizhuang Ma:
Residual Attention Network for Wavelet Domain Super-Resolution. 2033-2037 - Bohan Li, Jingning Han, Kenneth Rose:
An Adaptive Linear Estimator Based Approach to Bi-Directional Motion Compensated Prediction. 2038-2042 - Bharath Vishwanath, Kenneth Rose:
Spherical Video Coding with Geometry and Region Adaptive Transform Domain Temporal Prediction. 2043-2047 - Charles Bonnineau, Wassim Hamidouche, Jean-François Travers, Olivier Déforges:
Versatile Video Coding and Super-Resolution for Efficient Delivery of 8k Video with 4k Backward-Compatibility. 2048-2052 - Anastasia Henkel, Ivan Zupancic, Benjamin Bross, Martin Winken, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Alternative Half-Sample Interpolation Filters for Versatile Video Coding. 2053-2057 - Xuelin Shen, Xinfeng Zhang, Shiqi Wang, Sam Kwong, Guopu Zhu:
Just Noticeable Distortion Based Perceptually Lossless Intra Coding. 2058-2062 - Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee:
Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning. 2063-2067 - Muhammad Ahmed Shah, Bhiksha Raj:
Deriving Compact Feature Representations Via Annealed Contraction. 2068-2072 - Feiping Nie, Shenfei Pei, Rong Wang, Xuelong Li:
Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification. 2073-2077 - Pravin Nair, Ruturaj G. Gavaskar, Kunal N. Chaudhury:
Compressive Adaptive Bilateral Filtering. 2078-2082 - Bin Zhang, Shenyao Jin, Yili Xia, Yongming Huang, Zixiang Xiong:
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images. 2083-2087 - Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
Image Restoration Via Data-Dependent Proximal Averaged Optimization. 2088-2092 - Zheng Fang, Sen Zhou, Xi Li, Haoqi Zhu:
Multi-Way Multi-View Deep Autoencoder for Image Feature Learning with Multi-Level Graph Regularization. 2093-2097 - Chaobing Zheng, Zhengguo Li, Yi Yang, Shiqian Wu:
Exposure Interpolation Via Hybrid Learning. 2098-2102 - Guoxi Huang, Adrian G. Bors:
Learning Spatio-Temporal Representations With Temporal Squeeze Pooling. 2103-2107 - Rizhi Ding, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Fine-Grained Giant Panda Identification. 2108-2112 - Hsuan-I Ho, Minho Shim, Dongyoon Wee:
Learning from Dances: Pose-Invariant Re-Identification for Multi-Person Tracking. 2113-2117 - Yun-Hao Yuan, Jin Li, Yun Li, Jipeng Qiang, Bin Li:
Learning Fractional Orthogonal Latent Consistent Features for Face Hallucination and Recognition. 2118-2122 - Yukihiro Bandoh, Takayuki Nakachi, Hitoshi Kiya:
Sparse Modeling on Distributed Encryption Data. 2123-2127 - Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. 2128-2132 - Bowen Wu, Huaming Wu:
Angular Discriminative Deep Feature Learning for Face Verification. 2133-2137 - Abd El Rahman Shabayek, Djamila Aouada, Kseniya Cherenkova, Gleb Gusev, Björn E. Ottersten:
3d Deformation Signature for Dynamic Face Recognition. 2138-2142 - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
ASR is All You Need: Cross-Modal Distillation for Lip Reading. 2143-2147 - Olivier Vu-Thanh, Trevor D. Canham, Javier Vazquez-Corral, Raquel Gil Rodríguez, Marcelo Bertalmío:
Color Stabilization for Multi-Camera Light-Field Imaging. 2148-2152 - Hanzao Chen, Xiaofen Xing, Xiangmin Xu:
Learning Spatio-Temporal Convolutional Network for Real-Time Object Tracking. 2153-2157 - Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto:
Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods. 2158-2162 - Tong Chen, Zhan Ma:
Variable Bitrate Image Compression with Quality Scaling Factors. 2163-2167 - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
Binary Probability Model for Learning Based Image Compression. 2168-2172 - Tilo Strutz:
Improved Probability Modelling for Exception Handling in Lossless Screen Content Coding. 2173-2177 - Iago Storch, Bruno Zatt, Luciano Agostini, Guilherme Corrêa, Luís Alberto da Silva Cruz, Daniel Palomino:
Spatially Adaptive Intra Mode Pre-Selection for ERP 360 Video Coding. 2178-2182 - Xiaochong Jiang, Cheng Yang, Gene Cheung, Seishi Takamura:
Semi-Regular Geometric Kernel Encoding & Reconstruction for Video Compression. 2183-2187 - Ashek Ahmmed, M. Manzur Murshed, Manoranjan Paul:
Leveraging Cuboids for Better Motion Modeling in High Efficiency Video Coding. 2188-2192 - Sungsoo Kim, Jin Soo Park, Christos G. Bampis, Jaeseong Lee, Mia K. Markey, Alexandros G. Dimakis, Alan C. Bovik:
Adversarial Video Compression Guided by Soft Edge Detection. 2193-2197 - Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. 2198-2202 - Jens Schneider, Johannes Sauer, Christian Rohlfing:
Adaptive Resolution Change Using Uncoded Areas and Dictionary Learning-Based Super-Resolution in Versatile Video Coding. 2203-2207 - Ítalo D. Machado, Marilton S. de Aguiar, Marcelo Schiavon Porto, Guilherme Corrêa, Daniel Palomino, Bruno Zatt:
RDE-MOGA: Automatic Selection of Rate-Distortion-Energy Control Points for Video Encoders Using Muti-Objetive Genetic Algorithm. 2208-2212 - Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. 2213-2217 - Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Self-Supervised Adversarial Training. 2218-2222 - Mohammad Mahdi Johari, Hamid Behroozi:
Gray-Scale Image Colorization Using Cycle-Consistent Generative Adversarial Networks with Residual Structure Enhancer. 2223-2227 - Meng Cao, Yuexian Zou:
All You Need is a Second Look: Towards Tighter Arbitrary Shape Text Detection. 2228-2232 - Li Ke, Meng Pan, Weigao Wen, Dong Li:
Compare Learning: Bi-Attention Network for Few-Shot Learning. 2233-2237 - Rusheng Li, Hanhui Liu, Yuesheng Zhu, Zhiqiang Bai:
Arnet: Attention-Based Refinement Network for Few-Shot Semantic Segmentation. 2238-2242 - Qiankun Tang, Jie Li, Zhiping Shi, Yu Hu:
Lightdet: A Lightweight and Accurate Object Detection Network. 2243-2247 - Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang:
Self-Supervised Deep Learning for Fisheye Image Rectification. 2248-2252 - Xianyi Zhu, Yi Xiao, Yan Zheng, Guanghua Tan, Shizhe Zhou:
Sketchppnet: A Joint Pixel and Point Convolutional Neural Network For Low Resolution Sketch Image Recognition. 2253-2257 - Dawei Yang, Xinlei Li, Xiaotian Dai, Rui Zhang, Lizhe Qi, Wenqiang Zhang, Zhe Jiang:
All In One Network for Driver Attention Monitoring. 2258-2262 - Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. 2263-2267 - Cong Zhang, Qi Wang, Xuelong Li:
IQ-STAN: Image Quality Guided Spatio-Temporal Attention Network for License Plate Recognition. 2268-2272 - Eloi Moliner, Luis Salgueiro Romero, Verónica Vilaplana:
Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging. 2273-2277 - Jiangyue Xia, Jingqi Tian, Jiankai Xing, Jiawen Cheng, Jun Zhang, Jiangtao Wen, Zhengguang Li, Jian Lou:
Social Data Assisted Multi-Modal Video Analysis For Saliency Detection. 2278-2282 - Xin Zhang, Chunlei Huo, Chunhong Pan:
View-Angle Invariant Object Monitoring Without Image Registration. 2283-2287 - Da Chen, Xiang Wu, Jianfeng Dong, Yuan He, Hui Xue, Feng Mao:
Hierarchical Sequence Representation with Graph Network. 2288-2292 - Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee:
Multi Image Depth from Defocus Network with Boundary Cue for Dual Aperture Camera. 2293-2297 - Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta:
Height and Weight Estimation from Unconstrained Images. 2298-2302 - Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. 2303-2307 - Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. 2308-2312 - Chen Du, Sarah Graham, Shiwei Jin, Colin Depp, Truong Nguyen:
Multi-Task Center-Of-Pressure Metrics Estimation from Skeleton Using Graph Convolutional Network. 2313-2317 - Mingliang Zhai, Xuezhi Xiang, Ning Lv, Abdulmotaleb El-Saddik:
Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks. 2323-2327 - Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He:
A Real-Time Deep Network for Crowd Counting. 2328-2332 - Tarek Ghoniemy, Maria A. Amer:
Drift Detection and Correction Post-Tracking. 2333-2337 - Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. 2338-2342 - Kai Guo, Nakhoon Kim, Duckchan Seo, Irina Kim, Soonkeun Chang, Dong-Ki Min, Sukhwan Lim:
Non-Uniform Video Time-Lapse Method Based on Motion Scenario and Stabilization Constraint. 2343-2347 - Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng:
Key Action and Joint CTC-Attention based Sign Language Recognition. 2348-2352 - Thien Huynh-The, Cam-Hao Hua, Nguyen Anh Tu, Dong-Seong Kim:
Learning Geometric Features with Dual-stream CNN for 3D Action Recognition. 2353-2357 - Spyridon Thermos, Petros Daras, Gerasimos Potamianos:
A Deep Learning Approach to Object Affordance Segmentation. 2358-2362 - Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro:
Multi-View Shape Estimation of Transparent Containers. 2363-2367 - Jinpeng Wang, Shiren Li, Zhikui Duan, Zhihao Yuan:
Rethinking Temporal-Related Sample for Human Action Recognition. 2368-2372 - Jia Liu, Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, Baoyu Zheng:
FDDWNet: A Lightweight Convolutional Neural Network for Real-Time Semantic Segmentation. 2373-2377 - Sudipta Paul, Carlos Torres, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury:
Complex Pairwise Activity Analysis Via Instance Level Evolution Reasoning. 2378-2382 - Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. 2383-2387 - Yutang Wu, Hanli Wang, Shuheng Wang, Qinyu Li:
Enhanced Action Tubelet Detector for Spatio-Temporal Video Action Detection. 2388-2392 - Yitu Wang, Takayuki Nakachi:
Secure Face Recognition in Edge and Cloud Networks: From the Ensemble Learning Perspective. 2393-2397 - Minqiang Zou, Jie Tang, Gangshan Wu:
Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network. 2398-2402 - Xiuheng Wang, Jie Chen, Cédric Richard, David Brie:
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. 2403-2407 - Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap:
Dynamically Modulated Deep Metric Learning for Visual Search. 2408-2412 - Zhihong Pan, Baopu Li, Hsuchun Cheng, Yingze Bao:
Deep Residual Network for MSFA Raw Image Denoising. 2413-2417 - Bo Wei, Yuan Yuan, Qi Wang:
MSPNET: Multi-Supervised Parallel Network for Crowd Counting. 2418-2422 - Yu-Siang Wang, Hung-Ting Su, Chen-Hsi Chang, Zhe Yu Liu, Winston H. Hsu:
Video Question Generation via Semantic Rich Cross-Modal Self-Attention Networks Learning. 2423-2427 - Zeyang Dou, Kun Gao, Xiaodian Zhang, Hong Wang, Junwei Wang:
Blind Hyperspectral Unmixing using Dual Branch Deep Autoencoder with Orthogonal Sparse Prior. 2428-2432 - Zhenhao Li, Xiaolin Wu:
Classification of Depth and Surface Edges with Deep Features. 2433-2437 - Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
Learning to Characterize Adversarial Subspaces. 2438-2442 - Fan Yang, Liang Xiao, Jingxiang Yang:
Video Deblurring Via 3d CNN and Fourier Accumulation Learning. 2443-2447 - Hanwen Ma, Ganchao Liu, Yuan Yuan:
Enhanced Non-Local Cascading Network with Attention Mechanism for Hyperspectral Image Denoising. 2448-2452 - Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Quantized Tensor Robust Principal Component Analysis. 2453-2457 - Shangbang Long, Yushuo Guan, Kaigui Bian, Cong Yao:
A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling. 2458-2462 - Xingyu Fu, Bin Fang, Mingliang Zhou, Jiajun Li:
Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation. 2463-2467 - Shane Harrigan, Sonya Coleman, Dermot Kerr, Pratheepan Yogarajah, Zheng Fang, Chengdong Wu:
Neural Coding Strategies for Event-Based Vision Data. 2468-2472 - Qier An, Yuan Shen:
Camera Configuration Design in Cooperative Active Visual 3d Reconstruction: A Statistical Approach. 2473-2477 - Zhengyi Zhao, Tianyao Wang, Siyu Xia, Yangang Wang:
Hand-3d-Studio: A New Multi-View System for 3d Hand Reconstruction. 2478-2482 - Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet:
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. 2483-2487 - Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Learning Eating Environments Through Scene Clustering. 2488-2492 - Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen:
A Hybrid Structural Sparse Error Model for Image Deblocking. 2493-2497 - Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino:
Reflectance-Guided, Contrast-Accumulated Histogram Equalization. 2498-2502 - Wei Shang, Pengfei Zhu, Dongwei Ren, Hong Shi:
Bilateral Recurrent Network for Single Image Deraining. 2503-2507 - Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning. 2508-2512 - Alexander Sagel, Aline Roumy, Christine Guillemot:
Sub-Dip: Optimization On A Subspace With Deep Image Prior Regularization And Application To Superresolution. 2513-2517 - Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. 2518-2522 - Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung:
A Variational Bayesian Approach for Multichannel Through-Wall Radar Imaging with Low-Rank and Sparse Priors. 2523-2527 - Junling Liu, Yuexian Zou, Dongming Yang:
Semanticgan: Generative Adversarial Networks For Semantic Image To Photo-Realistic Image Translation. 2528-2532 - Meiya Chen, Yi Chang, Shuning Cao, Luxin Yan:
Learning Blind Denoising Network for Noisy Image Deblurring. 2533-2537 - Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Pixel-Level Self-Paced Learning For Super-Resolution. 2538-2542 - Baptiste Magnier, Arezki Aberkane, N. Gorrity:
A Recursive Edge Detector For Color Filter Array Image. 2543-2547 - Jingwei He, Lei Yu, Wen Yang:
Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning. 2548-2552 - Ye Guo, Yali Li, Shengjin Wang:
CS-R-FCN: Cross-Supervised Learning for Large-Scale Object Detection. 2553-2557 - Feng Dai, Youqiang Zhang, Yike Ma, Hongliang Li, Qiang Zhao:
Dilated Convolutional Neural Networks for Panoramic Image Saliency Prediction. 2558-2562 - Xiaofan Gu, Xinwei Xue, Feng Wang:
Fine-Grained Action Recognition on a Novel Basketball Dataset. 2563-2567 - Xiaoqi Pan, Hong Mo, Zhong Zhou, Wei Wu:
Attention Guided Region Division for Crowd Counting. 2568-2572 - Teppei Suzuki:
Superpixel Segmentation Via Convolutional Neural Networks with Regularized Information Maximization. 2573-2577 - Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
Stacked Pooling for Boosting Scale Invariance of Crowd Counting. 2578-2582 - Hong Liu, Linlin Zhang, Lisi Guan, Mengyuan Liu:
GFNet: A Lightweight Group Frame Network for Efficient Human Action Recognition. 2583-2587 - Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. 2588-2592 - Julien Baderot, Michel Desvignes, Laurent Condat, Mauro Dalla Mura:
Tree of Shapes Cut for Material Segmentation Guided by a Design. 2593-2597 - Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. 2598-2602 - Bangqi Cao, Xiandong Meng, Shuyuan Zhu, Bing Zeng:
Salient Object Detection Based On Image Bit-Map. 2603-2607 - Libao Zhang, Congyang Liu:
A Novel Saliency-Driven Oil Tank Detection Method for Synthetic Aperture Radar Images. 2608-2612 - Haopeng Li, Yuan Yuan, Qi Wang:
Video Frame Interpolation Via Residue Refinement. 2613-2617 - Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang:
Attention-Guided Deraining Network Via Stage-Wise Learning. 2618-2622 - Kareem M. Metwaly, Vishal Monga:
Attention-Mask Dense Merger (Attendense) Deep HDR for Ghost Removal. 2623-2627 - Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai:
Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing. 2628-2632 - Kuangye Liu, Zhen Han, Junkui Chen, Chunlei Liu, Jun Chen, Zhongyuan Wang:
Image Super-Resolution Using Residual Global Context Network. 2633-2637 - Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo:
Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. 2638-2642 - Wangduo Xie, Jian Zhang, Zhisheng Lu, Meng Cao, Yong Zhao:
Non-Local Nested Residual Attention Network for Stereo Image Super-Resolution. 2643-2647 - Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat, Erwan Nogues:
Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers. 2648-2652 - Libao Zhang, Shan Wang, Xiaohan Wang:
SDTCN: Similarity Driven Transmission Computing Network for Image Dehazing. 2653-2657 - Long Yu, Haonan Su, Cheolkon Jung:
Joint Enhancement And Denoising of Low Light Images Via JND Transform. 2658-2662 - Cong Geng, Li Chen, Xiaoyun Zhang, Zhiyong Gao:
Adversarial Text Image Super-Resolution using Sinkhorn Distance. 2663-2667 - Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. 2668-2672 - Cairong Zhang, Guijin Wang, Xinghao Chen, Pengwei Xie, Toshihiko Yamasaki:
Weakly Supervised Segmentation Guided Hand Pose Estimation During Interaction with Unknown Objects. 2673-2677 - Xue Zhang, Gene Cheung, Patrick Le Callet, Jack Z. G. Tan:
Sparse Directed Graph Learning for Head Movement Prediction in 360 Video Streaming. 2678-2682 - Jennifer Tang, Atulya Yellepeddi, Sefa Demirtas, Christopher Barber:
Tracking to Improve Detection Quality in Lidar For Autonomous Driving. 2683-2687 - Yuerong Chen, Mengliang Zhang, Song Li, Zhongyuan Wang, Xin Tian:
Cartoon-Texture Decomposition-Based Variational Pansharpening. 2688-2692 - Colleen P. Bailey, Shubham Chamadia, Dimitris A. Pados:
An Alternative Signature Design Using L1 Principal Components for Spread-Spectrum Steganography. 2693-2696 - Takayuki Nakachi, Yitu Wang, Hitoshi Kiya:
Privacy-Preserving Pattern Recognition Using Encrypted Sparse Representations in L0 Norm Minimization. 2697-2701 - Kosuke Shimizu, Taizo Suzuki:
Flexibly-tunable bitcube-based perceptual encryption within jpeg compression. 2702-2706 - Xiao Hu, Daniel Olesen, Per Knudsen:
Gyroscope Aided Video Stabilization Using Nonlinear Regression on Special Orthogonal Group. 2707-2711 - Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR. 2712-2716 - Dendi Sathya Veera Reddy, Chander Dev, Narayan Kothari, Sumohana S. Channappayya:
Lqaid: Localized Quality Aware Image Denoising Using Deep Convolutional Neural Networks. 2717-2721 - Xiyu Kong, Muming Zhao, Hao Zhou, Chongyang Zhang:
Weakly Supervised Crowd-Wise Attention For Robust Crowd Counting. 2722-2726 - Christian R. Helmrich, Mischa Siekmann, Sören Becker, Sebastian Bosse, Detlev Marpe, Thomas Wiegand:
Xpsnr: A Low-Complexity Extension of The Perceptually Weighted Peak Signal-To-Noise Ratio For High-Resolution Video Quality Assessment. 2727-2731 - Yasuko Sugito, Marcelo Bertalmío:
Non-Experts or Experts? Statistical Analyses of MOS using DSIS method. 2732-2736 - Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala:
Full Reference Video Quality Measures Improvement Using Neural Networks. 2737-2741 - Jin Huang, Chaoran Cui, Chunyun Zhang, Zhen Shen, Jun Yu, Yilong Yin:
Learning Multi-Scale Attentive Features for Series Photo Selection. 2742-2746 - Hong Liu, Peng Wei, Weibo Huang, Guoliang Hua, Fanyang Meng:
Spatio-Temporal and Geometry Constrained Network for Automobile Visual Odometry. 2747-2751 - Sami Jaballah, Amegh Bhavsar, Mohamed-Chaker Larabi:
A Comprehensive Framework for 2D-JND Extension to 360-DEG Images. 2752-2756 - Rishabh Singh, Shujian Yu, José C. Príncipe:
Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. 2757-2761 - Jan Butora, Jessica J. Fridrich:
Steganography and its Detection in JPEG Images Obtained with the "TRUNC" Quantizer. 2762-2766 - Quentin Giboulot, Rémi Cogranne, Patrick Bas:
JPEG Steganography with Side Information from the Processing Pipeline. 2767-2771 - Rémi Cogranne:
Selection-Channel-Aware Reverse JPEG Compatibility for Highly Reliable Steganalysis of JPEG Images. 2772-2776 - Stephane Schwarz, Antônio Theóphilo, Anderson Rocha:
EMET: Embeddings from Multilingual-Encoder Transformer for Fake News Detection. 2777-2781 - Falko Matern, Christian Riess, Marc Stamminger:
Depth Map Fingerprinting and Splicing Detection. 2782-2786 - Xin Liao, Zihang Huang:
A Framework for Parameters Estimation of Image Operator Chain. 2787-2791 - Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes:
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption. 2792-2796 - Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. 2797-2801 - Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. 2802-2806 - Onur Günlü, Rafael F. Schaefer:
Low-Complexity and Reliable Transforms for Physical Unclonable Functions. 2807-2811 - Olga Taran, Slavi Bonev, Taras Holotyak, Slava Voloshynovskiy:
Adversarial Detection of Counterfeited Printable Graphical Codes: Towards "Adversarial Games" In Physical World. 2812-2816 - Riccardo Castelletto, Simone Milani, Paolo Bestagini:
Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders. 2817-2821 - Hao Yang, Zhongliang Yang, YongJian Bao, Sheng Liu, Yongfeng Huang:
FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis Of VoIP Stream Via Multi-Head Attention. 2822-2826 - Jianhua Yang, Huilin Zheng, Xiangui Kang, Yun-Qing Shi:
Approaching Optimal Embedding In Audio Steganography With GAN. 2827-2831 - Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao:
Multi-Stage Residual Hiding for Image-Into-Audio Steganography. 2832-2836 - Hanzhou Wu:
Patch-Level Selection and Breadth-First Prediction Strategy for Reversible Data Hiding. 2837-2841 - Wan Soo Kim, Kyogu Lee:
Digital Watermarking For Protecting Audio Classification Datasets. 2842-2846 - Shilong Yang:
Saliency-Based Image Contrast Enhancement with Reversible Data Hiding. 2847-2851 - Zhi Li, Haoliang Li, Kwok-Yan Lam, Alex ChiChung Kot:
Unseen Face Presentation Attack Detection with Hypersphere Loss. 2852-2856 - Farid Tajaddodianfar, Jack W. Stokes, Arun Gururajan:
Texception: A Character/Word-Level Deep Learning Model for Phishing URL Detection. 2857-2861 - Baki Berkay Yilmaz, Elvan Mert Ugurlu, Alenka G. Zajic, Milos Prvulovic:
Cell-Phone Classification: A Convolutional Neural Network Approach Exploiting Electromagnetic Emanations. 2862-2866 - Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. 2867-2871 - Wafa Labidi, Christian Deppe, Holger Boche:
Secure Identification for Gaussian Channels. 2872-2876 - Chen Han, Aijun Liu, Liangyu Huo, Haichao Wang, Xiaohu Liang:
Anti-Jamming Routing For Internet of Satellites: a Reinforcement Learning Approach. 2877-2881 - Florian Lemarchand, Cyril Marlin, Florent Montreuil, Erwan Nogues, Maxime Pelcat:
Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification. 2882-2886 - Jack W. Stokes, Rakshit Agrawal, Geoff McDonald:
Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. 2887-2891 - Zahra Zohrevand, Uwe Glässer:
Dynamic Attack Scoring Using Distributed Local Detectors. 2892-2896 - Xiyu Yan, Xuesong Chen, Yong Jiang, Shu-Tao Xia, Yong Zhao, Feng Zheng:
Hijacking Tracker: A Powerful Adversarial Attack on Visual Tracking. 2897-2901 - Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. 2902-2906 - Emily H. Do, Vijay Gadepally:
Classifying Anomalies for Network Security. 2907-2911 - Andrey Garnaev, Athina P. Petropulu, Wade Trappe, H. Vincent Poor:
A Switching Transmission Game with Latency as the User's Communication Utility. 2912-2916 - Benjamin E. Gardner, John D. Roth:
An Efficient Methodology to De-Anonymize the 5G-New Radio Physical Downlink Control Channel. 2917-2921 - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Joint Learning of Assignment and Representation for Biometric Group Membership. 2922-2926 - Bangzhou Xin, Wei Yang, Yangyang Geng, Sheng Chen, Shaowei Wang, Liusheng Huang:
Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning. 2927-2931 - Ying Xu, Yi Wang, Jiajun Liang, Yong Jiang:
Augmentation Data Synthesis Via Gans: Boosting Latent Fingerprint Reconstruction. 2932-2936 - Jiguo Li, Xinfeng Zhang, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao:
Learning to Fool the Speaker Recognition. 2937-2941 - Dongmei Peng, Jing Xiao, Rong Zhu, Ge Gao:
Ts-Fen: Probing Feature Selection Strategy for Face Anti-Spoofing. 2942-2946 - Amir Mohammadi, Sushil Bhattacharjee, Sébastien Marcel:
Improving Cross-Dataset Performance of Face Presentation Attack Detection Systems Using Face Recognition Datasets. 2947-2951 - Xi Wu, Zhen Xie, YuTao Gao, Yu Xiao:
SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features. 2952-2956 - Bruno Peixoto, Bahram Lavi, Paolo Bestagini, Zanoni Dias, Anderson Rocha:
Multimodal Violence Detection in Videos. 2957-2961 - Owen Mayer, Brian C. Hosler, Matthew C. Stamm:
Open Set Video Camera Model Verification. 2962-2966 - Mohit Lamba, Kaushik Mitra:
Multi-Patch Aggregation Models for Resampling Detection. 2967-2971 - Rafael Padilha, Fernanda A. Andaló, Anderson Rocha:
Improving the Chronological Sorting of Images through Occlusion: A Study on the Notre-Dame Cathedral Fire. 2972-2976 - Mauro Barni, Ehsan Nowroozi, Benedetta Tondi, Bowen Zhang:
Effectiveness of Random Deep Feature Selection for Securing Image Manipulation Detectors Against Adversarial Examples. 2977-2981 - Rongyu Zhang, Jiangqun Ni:
A Dense U-Net with Cross-Layer Intersection for Detection and Localization of Image Forgery. 2982-2986 - Akihiko Sugiyama:
Fast Start-Up Algorithm for Adaptive Noise Cancellers with Novel SNR Estimation and Stepsize Control. 2987-2991 - Usama Muneeb, Erdem Koyuncu, Yasaman Keshtkarjahromi, Hulya Seferoglu, Mehmet Fatih Erden, A. Enis Çetin:
Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks. 2992-2996 - Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli, Guillaume Bao, Eric Azabou:
Semi-Supervised Optimal Transport Methods for Detecting Anomalies. 2997-3001 - Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi:
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data. 3002-3006 - Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh:
Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. 3007-3011 - Qingsong Wen, Zhengzhi Ma, Liang Sun:
On Robust Variance Filtering and Change of Variance Detection. 3012-3016 - Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. 3017-3021 - Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. 3022-3026 - Kai Chen, Haisong Ding, Qiang Huo:
Parallelizing Adam Optimizer with Blockwise Model-Update Filtering. 3027-3031 - Masahito Togami:
Joint Training of Deep Neural Networks for Multi-Channel Dereverberation and Speech Source Separation. 3032-3036 - Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen:
Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna. 3037-3041