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ORCIDCVPR 2020: Virtual Event / Seattle, WA, USA - Workshops
- 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020. Computer Vision Foundation / IEEE 2020, ISBN 978-1-7281-9360-1
- Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner:
Face Recognition: Too Bias, or Not Too Bias? 1-10 - Naman Bansal, Chirag Agarwal, Anh Nguyen:
SAM: The Sensitivity of Attribution Methods to Hyperparameters. 11-21 - Yukun Ding, Jinglan Liu, Jinjun Xiong
, Yiyu Shi:
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off. 22-31 - Tao Wang, Maggie Du, Xinmin Wu, Taiping He:
An Analytical Framework for Trusted Machine Learning and Computer Vision Running with Blockchain. 32-38 - Jialing Lyu, Weichao Qiu, Alan L. Yuille:
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. 39-47 - Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson:
Interpreting Interpretations: Organizing Attribution Methods by Criteria. 48-55 - Thomas Hartley, Kirill A. Sidorov, Christopher Willis, A. David Marshall:
Explaining Failure: Investigation of Surprise and Expectation in CNNs. 56-65 - Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Enhancing Facial Data Diversity with Style-based Face Aging. 66-74 - Bashir Sadeghi, Vishnu Naresh Boddeti:
Imparting Fairness to Pre-Trained Biased Representations. 75-82 - Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon:
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. 83-92 - Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri:
Minimizing Supervision in Multi-label Categorization. 93-102 - Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DNDNet: Reconfiguring CNN for Adversarial Robustness. 103-110 - Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu:
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. 111-119 - Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh:
On Privacy Preserving Anonymization of Finger-selfies. 120-128 - Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. 129-137 - Vivek B. S., Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu:
Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training. 138-146 - Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Attribute Aware Filter-Drop for Bias-Invariant Classification. 147-153 - Kanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculín:
Privacy Enhanced Decision Tree Inference. 154-159 - Xin-Yu Kuo, Chien Liu, Kai-Chen Lin, Chun-Yi Lee:
Dynamic Attention-based Visual Odometry. 160-169 - Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs:
Extending Absolute Pose Regression to Multiple Scenes. 170-178 - Aniket Pokale, Aditya Aggarwal, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image. 179-186 - Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. 187-198 - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. 199-205 - Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang:
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. 206-211 - Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. 212-218 - Peri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars:
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors. 219-228 - Hee-Jin Yu, Chang-Hwan Son:
Leaf Spot Attention Network for Apple Leaf Disease Identification. 229-237 - Francisco Yandún, Abhisesh Silwal, George Kantor:
Visual 3D Reconstruction and Dynamic Simulation of Fruit Trees for Robotic Manipulation. 238-247 - Wenzhao Wu, Juepeng Zheng, Haohuan Fu, Weijia Li, Le Yu:
Cross-Regional Oil Palm Tree Detection. 248-257 - Alexandre Barbosa, Thiago Marinho, Nicolas F. Martin, Naira Hovakimyan:
Multi-Stream CNN for Spatial Resource Allocation: a Crop Management Application. 258-266 - Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng:
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture. 267-276 - Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp:
Deep Transfer Learning For Plant Center Localization. 277-284 - Justin Le Louedec, Hector A. Montes, Tom Duckett, Grzegorz Cielniak:
Segmentation and detection from organised 3D point clouds: a case study in broccoli head detection. 285-293 - Henry O. Velesaca, Raúl Mira, Patricia L. Suárez, Christian X. Larrea, Ángel D. Sappa:
Deep Learning based Corn Kernel Classification. 294-302 - Jeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana:
Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning. 303-309 - Edson R. Bollis, Hélio Pedrini, Sandra Avila:
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark. 310-319 - Beichen Lyu, Stuart D. Smith, Keith A. Cherkauer:
Fine-Grained Recognition in High-throughput Phenotyping. 320-329 - Nazifa Azam Khan, Oliver A. S. Lyon, Mark G. Eramian, Ian McQuillan:
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize. 330-339 - Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farm Parcel Delineation Using Spatio-temporal Convolutional Networks. 340-349 - Ruchit Rawal, Prabhu Pradhan:
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data. 350-359 - Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu:
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. 360-367 - Weng Fei Low, Zhi Gao, Cheng Xiang, Bharath Ramesh:
SOFEA: A Non-iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision Sensors. 368-377 - Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. 378-387 - Vishal M. Chudasama, Heena Patel, Kalpesh Prajapati, Kishor P. Upla, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network. 388-397 - Mertcan Cokbas, Prakash Ishwar, Janusz Konrad:
Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation. 398-406 - Rachael Abbott, Neil M. Robertson, Jesús Martínez del Rincón, Barry Connor:
Unsupervised object detection via LWIR/RGB translation. 407-415 - Satyam Mohla, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri:
FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification. 416-425 - Priya Kansal, Sabari Nathan:
A Multi-Level Supervision Model: A novel approach for Thermal Image Super Resolution. 426-431 - Rafael E. Rivadeneira, Ángel D. Sappa, Boris Xavier Vintimilla, Lin Guo, Jiankun Hou, Armin Mehri, Parichehr Behjati Ardakani, Heena Patel, Vishal M. Chudasama, Kalpesh Prajapati, Kishor P. Upla, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch, Feras Almasri, Olivier Debeir, Sabari Nathan, Priya Kansal, Nolan Gutierrez, Bardia Mojra, William J. Beksi:
Thermal Image Super-Resolution Challenge - PBVS 2020. 432-439 - Maarten Vandersteegen, Wouter Reusen, Kristof Van Beeck, Toon Goedemé:
Low-latency hand gesture recognition with a low resolution thermal imager. 440-449 - Mohammadreza Mostajabi, Ching Ming Wang, Darsh Ranjan, Gilbert Hsyu:
High Resolution Radar Dataset for Semi-Supervised Learning of Dynamic Objects. 450-457 - Xu Dong, Pengluo Wang, Pengyue Zhang, Langechuan Liu:
Probabilistic Oriented Object Detection in Automotive Radar. 458-467 - Xingchen Zhang, Ping Ye, Gang Xiao:
VIFB: A Visible and Infrared Image Fusion Benchmark. 468-478 - Wassim A. El Ahmar, Farzan Erlik Nowruzi, Robert Laganière:
Fast Human Head and Shoulder Detection Using Convolutional Networks and RGBD Data. 479-487 - Michael Teutsch, Simone Sedelmaier, Sebastian Moosbauer, Gabriel Eilertsen, Thomas Walter:
An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping. 488-497 - Zachary Mulhollan, Aneesh Rangnekar, Timothy Bauch, Matthew J. Hoffman, Anthony Vodacek:
Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery. 498-506 - Nicholas Merrill, Colin C. Olson:
Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral Anomaly Detection. 507-515 - Ming Li, Yundong Zhang, Changsheng Xia, Jinwen Zan, Zhangming Huang, Dekai Chen, Guoxin Li, Jing Nie:
Improve Image Codec's Performance By Variating Post Enhancing Neural Network: Submission of zxw for CLIC2020. 516-519 - Zongyu Guo, Yaojun Wu, Runsen Feng, Zhizheng Zhang, Zhibo Chen:
3-D Context Entropy Model for Improved Practical Image Compression. 520-523 - Hiroaki Akutsu, Akifumi Suzuki, Zhisheng Zhong, Kiyoharu Aizawa:
Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding. 524-528 - Runsen Feng, Yaojun Wu, Zongyu Guo, Zhizheng Zhang, Zhibo Chen:
Learned Video Compression with Feature-level Residuals. 529-532 - Tiansheng Guo, Jing Wang, Ze Cui, Yihui Feng, Yunying Ge, Bo Bai:
Variable Rate Image Compression with Content Adaptive Optimization. 533-537 - Man M. Ho, Jinjia Zhou, Gang He, Muchen Li, Lei Li:
SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation. 538-542 - Zhengxue Cheng, Heming Sun, Jiro Katto:
Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods. 543-546 - Hao Tao, Jian Qian, Li Yu, Hongkui Wang, Wenhao Zhang, Zhengang Li, Ning Wang, Xing Zeng:
Post-Processing Network Based on Dense Inception Attention for Video Compression. 547-551 - Jan Xu, Alex Lytchier, Ciro Cursio, Dimitrios Kollias, Chri Besenbruch, Arsalan Zafar:
Efficient Context-Aware Lossy Image Compression. 552-554 - Yueyu Hu, Haichuan Ma, Dong Liu, Jiaying Liu:
Compression Artifact Removal with Ensemble Learning of Neural Networks. 555-559 - Zhao Wang, Ru-Ling Liao, Yan Ye:
Joint Learned and Traditional Video Compression for P Frame. 560-564 - Younhee Kim, Seunghyun Cho, Jooyoung Lee, Seyoon Jeong, Jin Soo Choi, Jihoon Do:
Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed Images. 565-569 - Wei-Cheng Lee, Hsueh-Ming Hang:
A Hybrid Image Codec with Learned Residual Coding. 570-574 - Jiayu Yang, Chunhui Yang, Yi Ma, Shiyi Liu, Ronggang Wang:
Learned Low Bit-rate Image Compression with Adversarial Mechanism. 575-579 - Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. 580-584 - Jooyoung Lee, Donghyun Kim, Younhee Kim, Hyoungjin Kwon, Jongho Kim, Taejin Lee:
A Training Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions. 585-589 - Renam Castro da Silva, Nilson Donizete Guerin Júnior, Pedro Sanches, Henrique Costa Jung, Eduardo Peixoto, Bruno Macchiavello, Edson M. Hung, Vanessa Testoni, Pedro Garcia Freitas:
Joint motion and residual information latent representation for P-frame coding. 590-592 - Gang He, Chang Wu, Lei Li, Jinjia Zhou, Xianglin Wang, Yunfei Zheng, Bing Yu, Weiying Xie:
A Video Compression Framework Using an Overfitted Restoration Neural Network. 593-597 - Yung-Han Ho, Chih-Chun Chan, David Alexandre, Wen-Hsiao Peng, Chih-Peng Chang:
P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation. 598-601 - Heming Sun, Chao Liu, Jiro Katto, Yibo Fan:
An Image Compression Framework with Learning-based Filter. 602-606 - Wei Gao, Lvfang Tao, Linjie Zhou, Dinghao Yang, Xiaoyu Zhang, Zixuan Guo:
Low-rate Image Compression with Super-resolution Learning. 607-610 - Xiangji Wu, Ziwen Zhang, Jie Feng, Lei Zhou, Junmin Wu:
End-to-end Optimized Video Compression with MV-Residual Prediction. 611-614 - Xin Li, Simeng Sun, Zhizheng Zhang, Zhibo Chen:
Multi-scale Grouped Dense Network for VVC Intra Coding. 615-618 - Trinh Man Hoang, Jinjia Zhou, Yibo Fan:
Image Compression with Encoder-Decoder Matched Semantic Segmentation. 619-623 - Jing Zhou, Akira Nakagawa, Keizo Kato, Sihan Wen, Kimihiko Kazui, Zhiming Tan:
Variable Rate Image Compression Method with Dead-zone Quantizer. 624-628 - Benoit Brummer, Christophe De Vleeschouwer:
Adapting JPEG XS gains and priorities to tasks and contents. 629-633 - Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen:
Lossy Compression with Distortion Constrained Optimization. 634-639 - Vijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen:
Adversarial Distortion for Learned Video Compression. 640-644 - Zac Yu, Adriana Kovashka:
Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis. 645-654 - Juan Castorena, Manish Bhattarai, Diane Oyen:
Learning Spatial Relationships between Samples of Patent Image Shapes. 655-662 - Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg:
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. 663-672 - Shouvik Mani, Michael A. Haddad, Dan Constantini, Willy Douhard, Qiwei Li, Louis Poirier:
Automatic Digitization of Engineering Diagrams using Deep Learning and Graph Search. 673-679 - Brigit Schroeder, Subarna Tripathi:
Structured Query-Based Image Retrieval Using Scene Graphs. 680-684 - Liping Yang, Ming Gong, Vijayan K. Asari:
Diagram Image Retrieval and Analysis: Challenges and Opportunities. 685-698 - Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu:
A Simplified Framework for Zero-shot Cross-Modal Sketch Data Retrieval. 699-706 - Corinne Stucker, Konrad Schindler:
ResDepth: Learned Residual Stereo Reconstruction. 707-716 - Nina M. Varney, Vijayan K. Asari, Quinn Graehling:
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation. 717-726 - Litu Rout, Indranil Misra, S. Manthira Moorthi, Debajyoti Dhar:
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis. 727-736 - Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan:
Density Map Guided Object Detection in Aerial Images. 737-746 - Onur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, Sébastien Clerc:
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization. 747-756 - Litu Rout, Saumyaa Shah, S. Manthira Moorthi, Debajyoti Dhar:
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution. 757-767 - Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hänsch, Alexei Bastidas, Scott Soenen, Todd M. Bacastow, Ryan Lewis:
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset. 768-777 - Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu:
FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds. 778-787 - Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell:
Meta-Learning for Few-Shot Land Cover Classification. 788-796 - Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li:
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways. 797-806 - Rasha Alshehhi:
Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks. 807-815 - Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio:
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. 816-825 - Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs:
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. 826-834 - Derrick Bonafilia, Beth Tellman, Tyler Anderson, Erica Issenberg:
Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1. 835-845 - Aditya Mehta, Harsh Sinha, Pratik Narang, Murari Mandal:
HIDeGan: A Hyperspectral-guided Image Dehazing GAN. 846-856 - Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Xing Liu, Yukimasa Tamatsu, Takayuki Okatani:
Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting. 857-866 - Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau:
A new multimodal RGB and polarimetric image dataset for road scenes analysis. 867-876 - Jiawei Shen, Zhuoyan Li, Lei Yu, Gui-Song Xia, Wen Yang:
Implicit Euler ODE Networks for Single-Image Dehazing. 877-886 - Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. 887-896 - Ali Ayub, Alan R. Wagner:
Cognitively-Inspired Model for Incremental Learning Using a Few Examples. 897-906 - Kishan Parshotam, Mert Kilickaya:
Continual Learning of Object Instances. 907-914 - Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. 915-924 - Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan:
Stream-51: Streaming Classification and Novelty Detection from Videos. 925-934 - Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic:
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition. 935-944 - Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. 945-951 - Kengo Murata, Tetsuya Toyota, Kouzou Ohara:
What is Happening Inside a Continual Learning Model? - A Representation-Based Evaluation of Representational Forgetting -. 952-956 - Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
M2SGD: Learning to Learn Important Weights. 957-964 - Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas:
Few-shot Image Recognition for UAV Sports Cinematography. 965-969 - Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings:
Generalized Class Incremental Learning. 970-974 - Jangho Kim, Jeesoo Kim, Nojun Kwak:
StackNet: Stacking feature maps for Continual learning. 975-982 - Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao:
Noise-based Selection of Robust Inherited Model for Accurate Continual Learning. 983-988 - Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini:
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. 989-998 - Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni:
Continual Reinforcement Learning in 3D Non-stationary Environments. 999-1008 - Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. 1009-1018 - Wojciech Masarczyk, Ivona Tautkute:
Reducing catastrophic forgetting with learning on synthetic data. 1019-1024 - Keval Doshi, Yasin Yilmaz:
Continual Learning for Anomaly Detection in Surveillance Videos. 1025-1034 - Daniel L. Silver, Sazia Mahfuz:
Generating Accurate Pseudo Examples for Continual Learning. 1035-1042 - Sohom Dey:
Subpixel Dense Refinement Network for Skeletonization. 1043-1048 - Wenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas:
Capturing Cellular Topology in Multi-Gigapixel Pathology Images. 1049-1058 - Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
A Novel Local Geometry Capture in Pointnet++ for 3D Classification. 1059-1068 - Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet : General Functional Approximators with Local Support. 1069-1073 - Peng-Shuai Wang, Yang Liu, Xin Tong:
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. 1074-1081 - Yanran Guan, Tansin Jahan, Oliver van Kaick:
Generalized Autoencoder for Volumetric Shape Generation. 1082-1088 - Qimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu:
Topology-Aware Single-Image 3D Shape Reconstruction. 1089-1097 - Lin Li, Salman H. Khan, Nick Barnes:
Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene. 1098-1104 - Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao:
Mesh Variational Autoencoders with Edge Contraction Pooling. 1105-1112 - Dingliang Wang, Xuezhi Yang, Xuenan Liu, Shuai Fang, Likun Ma, Longwei Li:
Photoplethysmography based stratification of blood pressure using multi information fusion artificial neural network. 1113-1119 - Changchen Zhao, Weiran Han, Zan Chen, Yongqiang Li, Yuanjing Feng:
Remote Estimation of Heart Rate Based on Multi-Scale Facial ROIs. 1120-1129 - Kai Zhou, Simon Krause, Timon Blöcher, Wilhelm Stork:
Enhancing Remote-PPG Pulse Extraction in Disturbance Scenarios Utilizing Spectral Characteristics. 1130-1138 - Christian S. Pilz, Ibtissem Ben Makhlouf, Ute Habel, Steffen Leonhardt:
Predicting Brainwaves from Face Videos. 1139-1147 - Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan:
A Meta-Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements. 1148-1155 - Mototaka Yoshioka, Souksakhone Bounyong:
Analysis of Pulse Transit Time Derived from Imaging Photoplethysmography and Microwave Sensor-based Ballistocardiography. 1156-1162 - Olga Perepelkina, Mikhail Artemyev, Marina Churikova, Mikhail Grinenko:
HeartTrack: Convolutional neural network for remote video-based heart rate monitoring. 1163-1171 - Kenta Masui, Takumi Nagasawa, Hirokazu Doi, Norimichi Tsumura:
Continuous estimation of emotional change usingmultimodal affective responses. 1172-1180 - Takumi Nagasawa, Ryo Takahashi, Chawan Koopipat, Norimichi Tsumura:
Stress Estimation Using Multimodal Biosignal Information from RGB Facial Video. 1181-1187 - Joshua Brown Kramer, Lucas Sabalka, Benjamin Rush, Katherine Jones, Tegan Nolte:
Automated Depth Video Monitoring For Fall Reduction : A Case Study. 1188-1196 - Yuriy Mironenko, Konstantin Kalinin, Mikhail Kopeliovich, Mikhail Petrushan:
Remote Photoplethysmography: Rarely Considered Factors. 1197-1206 - Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu:
In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. 1207-1216 - Ouday Hanosh, Rashid Ansari, Naoum P. Issa, A. Enis Çetin:
Convulsive Movement Detection using Low-Resolution Thermopile Sensor Array. 1217-1223 - Alaa Masalha, Nadav Eichler, Shmuel Raz, Adi Toledano-Shubi, Daphna Niv, Ilan Shimshoni, Hagit Hel-Or:
Predicting Fall Probability Based on a Validated Balance Scale. 1224-1231 - Duncan Luguern, Simon Perche, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Keisuke Nakamura, Randy Gomez, Julien Dubois:
An Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram. 1232-1241 - Deivid Botina-Monsalve, Yannick Benezeth, Richard Macwan, Paul Pierrart, Federico Parra, Keisuke Nakamura, Randy Gomez, Johel Mitéran:
Long Short-Term Memory Deep-Filter in Remote Photoplethysmography. 1242-1249 - Steven Lawrence Fernandes, Sunny Raj, Rickard Ewetz, Jodh Singh Pannu, Sumit Kumar Jha, Eddy Ortiz, Iustina Vintila, Margaret Salter:
Detecting Deepfake Videos using Attribution-Based Confidence Metric. 1250-1259 - Mikhail Kopeliovich, Konstantin Kalinin, Yuriy Mironenko, Mikhail Petrushan:
On indirect assessment of heart rate in video. 1260-1264 - Alexander Woyczyk, Vincent Fleischhauer, Sebastian Zaunseder:
Skin Segmentation using Active Contours and Gaussian Mixture Models for Heart Rate Detection in Videos. 1265-1273 - Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, Shiguang Shan:
The 1st Challenge on Remote Physiological Signal Sensing (RePSS). 1274-1281 - Mikhail Artemyev, Marina Churikova, Mikhail Grinenko, Olga Perepelkina:
Neurodata Lab's approach to the Challenge on Computer Vision for Physiological Measurement. 1282-1288 - Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. 1289-1298 - Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. 1299-1309 - Jinkyu Kim, Mayank Bansal:
Attentional Bottleneck: Towards an Interpretable Deep Driving Network. 1310-1313 - Christoph Gladisch, Christian Heinzemann, Martin Herrmann, Matthias Woehrle:
Leveraging combinatorial testing for safety-critical computer vision datasets. 1314-1321 - Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff:
Multivariate Confidence Calibration for Object Detection. 1322-1330 - Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink:
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. 1331-1340 - Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng:
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. 1341-1347 - Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. 1348-1358 - Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. 1359-1368 - Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. 1369-1378 - Hendrik Schilling, Marcel Gutsche, Alexander Brock, Dane Späth, Carsten Rother, Karsten Krispin:
Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar. 1379-1388 - Luca Cultrera, Lorenzo Seidenari, Federico Becattini, Pietro Pala, Alberto Del Bimbo:
Explaining Autonomous Driving by Learning End-to-End Visual Attention. 1389-1398 - Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner:
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. 1399-1406 - Yangwen Liang, Rohit Ranade, Shuangquan Wang, Dongwoon Bai, Jungwon Lee:
The "Vertigo Effect" on Your Smartphone: Dolly Zoom via Single Shot View Synthesis. 1407-1415 - Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden:
Bilinear Parameterization For Differentiable Rank-Regularization. 1416-1425 - Zhongpai Gao, Juyong Zhang, Yudong Guo, Chao Ma, Guangtao Zhai, Xiaokang Yang:
Semi-supervised 3D Face Representation Learning from Unconstrained Photo Collections. 1426-1435 - Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin:
Deep Learning for Automatic Pneumonia Detection. 1436-1443 - Rangel Daroya, Rowel Atienza, Rhandley Cajote:
REIN: Flexible Mesh Generation from Point Clouds. 1444-1453 - Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang:
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. 1454-1463 - Sayanti Bardhan:
Salient Object Detection by Contextual Refinement. 1464-1472 - Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment. 1473-1481 - Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon:
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. 1482-1487 - Junwen Chen, Haiting Hao, Hanbin Hong, Yu Kong:
RIT-18: A Novel Dataset for Compositional Group Activity Understanding. 1488-1494 - Nazanin Beheshti, S. Lennart Johnsson:
Squeeze U-Net: A Memory and Energy Efficient Image Segmentation Network. 1495-1504 - Luisa F. Polanía, Mauricio Flores, Matthew S. Nokleby, Yiran Li:
Learning Furniture Compatibility with Graph Neural Networks. 1505-1513 - Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando, Dylan Campbell, Stephen Gould:
Inferring Temporal Compositions of Actions Using Probabilistic Automata. 1514-1522 - Deeptha Girish, Vineeta Singh, Anca L. Ralescu:
Understanding action recognition in still images. 1523-1529 - Anna Volokitin, Ender Konukoglu, Luc Van Gool:
Decomposing Image Generation into Layout Prediction and Conditional Synthesis. 1530-1538 - Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern:
Learning Intuitive Physics by Explaining Surprise. 1539-1542 - Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka:
Story Completion with Explicit Modeling of Commonsense Knowledge. 1543-1546 - Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun:
Visual Commonsense Representation Learning via Causal Inference. 1547-1550 - Sungmin Eum, David Han, Gordon Briggs:
SomethingFinder: Localizing undefined regions using referring expressions. 1551-1554 - J. Eric Taylor, Shashank Shekhar, Graham W. Taylor:
Response Time Analysis for Explainability of Visual Processing in CNNs. 1555-1558 - Chris Hickey, Byoung-Tak Zhang:
Hierarchical Color Learning in Convolutional Neural Networks. 1559-1562 - Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy:
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. 1563-1566 - Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. 1567-1570 - Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. 1571-1580 - Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia:
Enabling monocular depth perception at the very edge. 1581-1583 - Christopher Pramerdorfer, Rainer Planinc, Martin Kampel:
Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care. 1584-1590 - Mohammad Farhadi, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. 1591-1599 - Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu:
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. 1600-1601 - Yudong Tao, Rui Ma, Mei-Ling Shyu, Shu-Ching Chen:
Challenges in Energy-Efficient Deep Neural Network Training with FPGA. 1602-1611 - Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang, Hong-Yuan Mark Liao:
Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object Detection on Embedded Devices. 1612-1621 - Jennifer Healey, Haoliang Wang, Niyati Chhaya:
Challenges in Recognizing Spontaneous and Intentionally Expressed Reactions to Positive and Negative Images. 1622-1630 - Amir Hossein Farzaneh, Xiaojun Qi:
Discriminant Distribution-Agnostic Loss for Facial Expression Recognition in the Wild. 1631-1639 - Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. 1640-1648 - Philipp Werner, Frerk Saxen, Ayoub Al-Hamadi:
Facial Action Unit Recognition in the Wild with Multi-Task CNN Self-Training for the EmotioNet Challenge. 1649-1652 - Pengcheng Wang, Zihao Wang, Zhilong Ji, Xiao Liu, Songfan Yang, Zhongqin Wu:
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning. 1653-1656 - Sijie Ji, Kai Wang, Xiaojiang Peng, Jianfei Yang, Zhaoyang Zeng, Yu Qiao:
Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild. 1657-1661 - Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian A. Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Yuichi Ito, Hrishikesh P. S, Densen Puthussery, Akhil K. A, C. V. Jiji, Guisik Kim, Deepa P. L, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck:
NTIRE 2020 Challenge on Image and Video Deblurring. 1662-1675 - Andrey Ignatov, Jagruti Patel, Radu Timofte:
Rendering Natural Camera Bokeh Effect with Deep Learning. 1676-1686 - Xiaotong Luo, Jiangtao Zhang, Ming Hong, Yanyun Qu, Yuan Xie, Cuihua Li:
Deep Wavelet Network with Domain Adaptation for Single Image Demoireing. 1687-1694 - Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin:
Hierarchical Regression Network for Spectral Reconstruction from RGB Images. 1695-1704 - Younghyun Jo, Sejong Yang, Seon Joo Kim:
Investigating Loss Functions for Extreme Super-Resolution. 1705-1712 - Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong:
C3Net: Demoiréing Network Attentive in Channel, Color and Concatenation. 1713-1721 - Yuanbo Zhou, Wei Deng, Tong Tong, Qinquan Gao:
Guided Frequency Separation Network for Real-World Super-Resolution. 1722-1731 - Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma:
Trident Dehazing Network. 1732-1741 - Wei Liu, Qiong Yan, Yuzhi Zhao:
Densely Self-guided Wavelet Network for Image Denoising. 1742-1750 - Shuai Liu, Chenghua Li, Nan Nan, Ziyao Zong, Ruixia Song:
MMDM: Multi-frame and Multi-scale for Image Demoiréing. 1751-1759 - Haoyu Ren, Amin Kheradmand, Mostafa El-Khamy, Shuangquan Wang, Dongwoon Bai, Jungwon Lee:
Real-World Super-Resolution using Generative Adversarial Networks. 1760-1768 - Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution. 1769-1777 - Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo:
Perceptual Extreme Super Resolution Network with Receptive Field Block. 1778-1787 - Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Yui-Lam Chan:
Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder. 1788-1797 - Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte:
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images. 1798-1805 - Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. 1806-1822 - Long Bao, Zengli Yang, Shuangquan Wang, Dongwoon Bai, Jungwon Lee:
Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection. 1823-1831 - Mingzhao Yu, Venkateswararao Cherukuri, Tiantong Guo, Vishal Monga:
Ensemble Dehazing Networks for Non-homogeneous Haze. 1832-1841 - Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga:
NonLocal Channel Attention for NonHomogeneous Image Dehazing. 1842-1851 - Jie Cai, Zibo Meng, Chiu Man Ho:
Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction. 1852-1861 - Gwantae Kim, Jaihyun Park, Kanghyu Lee, Junyeop Lee, Jeongki Min, Bokyeung Lee, David K. Han, Hanseok Ko:
Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator. 1862-1871 - Stephan Brehm, Sebastian A. Scherer, Rainer Lienhart:
High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring. 1872-1881 - Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. 1882-1893 - Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu:
Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images. 1894-1903 - Kalpesh Prajapati, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network. 1904-1913 - Xiaozhong Ji, Yun Cao, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang:
Real-World Super-Resolution via Kernel Estimation and Noise Injection. 1914-1923 - Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. 1924-1933 - Vien Gia An, Hyunkook Park, Chul Lee:
Dual-domain Deep Convolutional Neural Networks for Image Demoireing. 1934-1942 - Dejia Xu, Yihao Chu, Qingyan Sun:
Moiré Pattern Removal via Attentive Fractal Network. 1943-1952 - Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn:
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution. 1953-1961 - Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. 1962-1974 - Haiyan Wu, Jing Liu, Yuan Xie, Yanyun Qu, Lizhuang Ma:
Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing. 1975-1983 - Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke:
RGB to Spectral Reconstruction via Learned Basis Functions and Weights. 1984-1993 - Sourya Dipta Das, Saikat Dutta:
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing. 1994-2001 - Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski:
Superkernel Neural Architecture Search for Image Denoising. 2002-2011 - Hao Peng, Xiaomei Chen, Jie Zhao:
Residual Pixel Attention Network for Spectral Reconstruction from RGB Images. 2012-2020 - Junyeop Lee, Jaihyun Park, Kanghyu Lee, Jeongki Min, Gwantae Kim, Bokyeung Lee, Bonhwa Ku, David K. Han, Hanseok Ko:
FBRNN: feedback recurrent neural network for extreme image super-resolution. 2021-2028 - Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. 2029-2044 - Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. 2045-2057 - Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. 2058-2076 - Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. 2077-2088 - Chun-Hao Liu, Hun Chang, Taesuh Park:
DA-cGAN: A Framework for Indoor Radio Design Using a Dimension-Aware Conditional Generative Adversarial Network. 2089-2098 - Songhyun Yu, Bumjun Park, Junwoo Park, Jechang Jeong:
Joint Learning of Blind Video Denoising and Optical Flow Estimation. 2099-2108 - Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Guan-Yu Chen, Koan-Sin Tan, Wei-Ting Wang, Yu-Chieh Lin, Shou-Yao Roy Tseng, Wei-Shiang Lin, Chia-Lin Yu, B. Y. Shen, Kloze Kao, Chia-Ming Cheng, Hung-Jen Chen:
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency. 2109-2119 - Yunchen Zhang, Yi Wu, Liang Chen:
MSFSR: A Multi-Stage Face Super-Resolution with Accurate Facial Representation via Enhanced Facial Boundaries. 2120-2129 - Yousef Atoum, Mao Ye, Liu Ren, Ying Tai, Xiaoming Liu:
Color-wise Attention Network for Low-light Image Enhancement. 2130-2139 - Yang Liu, Saeed Anwar, Liang Zheng, Qi Tian:
GradNet Image Denoising. 2140-2149 - Vijay Rengarajan, Shuo Zhao, Ruiwen Zhen, John William Glotzbach, Hamid R. Sheikh, Aswin C. Sankaranarayanan:
Photosequencing of Motion Blur using Short and Long Exposures. 2150-2159 - Kyle Vassilo, Cory Heatwole, Tarek Taha, Asif Mehmood:
Multi-Step Reinforcement Learning for Single Image Super-Resolution. 2160-2168 - Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel:
A Review of an Old Dilemma: Demosaicking First, or Denoising First? 2169-2179 - Jinhan Hu, Gyeongmin Choe, Zeeshan Nadir, Osama Nabil, Seok-Jun Lee, Hamid R. Sheikh, Youngjun Francis Yoo, Michael O. Polley:
Sensor-realistic Synthetic Data Engine for Multi-frame High Dynamic Range Photography. 2180-2189 - Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep:
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig. 2190-2200 - Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Identity Enhanced Residual Image Denoising. 2201-2210 - Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan:
Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. 2211-2219 - Gregory Vaksman, Michael Elad, Peyman Milanfar:
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. 2220-2229 - Orly Liba, Yair Movshovitz-Attias, Longqi Cai, Yael Pritch, Yun-Ta Tsai, Huizhong Chen, Elad Eban, Jonathan T. Barron:
Sky Optimization: Semantically aware image processing of skies in low-light photography. 2230-2238 - Shunta Maeda:
Fast and Flexible Image Blind Denoising via Competition of Experts. 2239-2247 - Sudha Velusamy, Rishubh Parihar, Raviprasad Kini, Aniket Rege:
FabSoften: Face Beautification via Dynamic Skin Smoothing, Guided Feathering, and Texture Restoration. 2248-2256 - Yi-Tun Lin, Graham D. Finlayson:
Physically Plausible Spectral Reconstruction from RGB Images. 2257-2266 - Josh Myers-Dean, Scott Wehrwein:
Semantic Pixel Distances for Image Editing. 2267-2274 - Andrey Ignatov, Luc Van Gool, Radu Timofte:
Replacing Mobile Camera ISP with a Single Deep Learning Model. 2275-2285 - Tunai Porto Marques, Alexandra Branzan Albu:
L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion. 2286-2295 - Qitong Wang, Yi Zheng, Margrit Betke:
A method for detecting text of arbitrary shapes in natural scenes that improves text spotting. 2296-2305 - Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró:
Textual Visual Semantic Dataset for Text Spotting. 2306-2315 - Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor:
READ: Recursive Autoencoders for Document Layout Generation. 2316-2325 - Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee:
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. 2326-2335 - Zejiang Shen, Kaixuan Zhang, Melissa Dell:
A Large Dataset of Historical Japanese Documents with Complex Layouts. 2336-2343 - Xi Liu, Gaojing Zhou, Rui Zhang, Xiaolin Wei:
An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border. 2344-2352 - Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu:
Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks. 2353-2361 - Renqiang Li, Hong Liu, Xiangdong Wang, Jianxing Xu, Yueliang Qian:
Optical Braille Recognition Based on Semantic Segmentation Network with Auxiliary Learning Strategy. 2362-2368 - Nikita Goel, Monika Sharma, Lovekesh Vig:
Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. 2369-2376 - Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan:
Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. 2377-2385 - Agam Dwivedi, Rohit Saluja, Ravi Kiran Sarvadevabhatla:
An OCR for Classical Indic Documents Containing Arbitrarily Long Words. 2386-2393 - Souhail Bakkali, Zuheng Ming, Mickaël Coustaty, Marçal Rusiñol:
Visual and Textual Deep Feature Fusion for Document Image Classification. 2394-2403 - Youngmin Baek, Daehyun Nam, Sungrae Park, Junyeop Lee, Seung Shin, Jeonghun Baek, Chae Young Lee, Hwalsuk Lee:
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks. 2404-2412 - Anh Duc Le:
Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions. 2413-2418 - Alireza Rezvanifar, Melissa Cote, Alexandra Branzan Albu:
Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework. 2419-2428 - Mahshad Mahdavi, Leilei Sun, Richard Zanibbi:
Visual Parsing with Query-Driven Global Graph Attention (QD-GGA): Preliminary Results for Handwritten Math Formula Recognition. 2429-2438 - Devashish Prasad, Ayan Gadpal, Kshitij Kapadni, Manish Visave, Kavita Sultanpure:
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents. 2439-2447 - Tsai-Shien Chen, Man-Yu Lee, Chih-Ting Liu, Shao-Yi Chien:
Viewpoint-aware Channel-wise Attentive Network for Vehicle Re-identification. 2448-2455 - Yuhang He, Jie Han, Wentao Yu, Xiaopeng Hong, Xing Wei, Yihong Gong:
City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching. 2456-2465 - Khac-Hoai Nam Bui, Hongsuk Yi, Jiho Cho:
A Vehicle Counts by Class Framework using Distinguished Regions Tracking at Multiple Intersections. 2466-2474 - Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Dual Embedding Expansion for Vehicle Re-identification. 2475-2484 - Shuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang:
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification. 2485-2493 - Kai Liu, Zheng Xu, Zhaohui Hou, Zhicheng Zhao, Fei Su:
Further Non-local and Channel Attention Networks for Vehicle Re-identification. 2494-2500 - Yingying Li, Jie Wu, Xue Bai, Xipeng Yang, Xiao Tan, Guanbin Li, Shilei Wen, Hongwu Zhang, Errui Ding:
Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly Detection. 2501-2510 - Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann:
ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City. 2511-2519 - Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao:
Vehicle Re-Identification Based on Complementary Features. 2520-2526 - Awad Abdelhalim, Montasir Abbas:
Towards Real-time Traffic Movement Count and Trajectory Reconstruction Using Virtual Traffic Lanes. 2527-2533 - Lijun Yu, Qianyu Feng, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann:
Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation. 2534-2543 - Ján Folenta, Jakub Spanhel, Vojtech Bartl, Adam Herout:
Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs. 2544-2549 - Zhedong Zheng, Minyue Jiang, Zhigang Wang, Jian Wang, Zechen Bai, Xuanmeng Zhang, Xin Yu, Xiao Tan, Yi Yang, Shilei Wen, Errui Ding:
Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-identification. 2550-2558 - Andres Ospina, Felipe Torres:
Countor: count without bells and whistles. 2559-2565 - Xiangyu Zhu, Zhenbo Luo, Pei Fu, Xiang Ji:
VOC-RelD: Vehicle Re-identification based on Vehicle-Orientation-Camera. 2566-2573 - Paula Moral, Álvaro García-Martín, José M. Martínez:
Vehicle Re-Identification in Multi-Camera scenarios based on Ensembling Deep Learning Features. 2574-2580 - Linu Shine, Vaishnav M. A, C. V. Jiji:
Fractional Data Distillation Model for Anomaly Detection in Traffic Videos. 2581-2589 - Sangrok Lee, Eunsoo Park, Hongsuk Yi, Sang Hun Lee:
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification. 2590-2597 - Zhihui Wang, Bing Bai, Yujun Xie, Tengfei Xing, Bineng Zhong, Qinqin Zhou, Yiping Meng, Bin Xu, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai:
Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory Modeling. 2598-2606 - Minh-Triet Tran, Tam V. Nguyen, Trung-Hieu Hoang, Trung-Nghia Le, Khac-Tuan Nguyen, Dat-Thanh Dinh, Thanh-An Nguyen, Hai-Dang Nguyen, Xuan-Nhat Hoang, Trong-Tung Nguyen, Viet-Khoa Vo-Ho, Trong-Le Do, Lam Nguyen, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Trong-Thang Pham, Xuan-Vy Nguyen, E-Ro Nguyen, Quoc-Cuong Tran, Hung Tran, Hieu Dao, Mai-Khiem Tran, Quang-Thuc Nguyen, Tien-Phat Nguyen, The-Anh Vu-Le, Gia-Han Diep, Minh N. Do:
iTASK - Intelligent Traffic Analysis Software Kit. 2607-2616 - Zhongji Liu, Wei Zhang, Xu Gao, Hao Meng, Xiao Tan, Xiaoxing Zhu, Zhan Xue, Xiaoqing Ye, Hongwu Zhang, Shilei Wen, Errui Ding:
Robust Movement-Specific Vehicle Counting at Crowded Intersections. 2617-2625 - Viktor Eckstein, Arne Schumann, Andreas Specker:
Large Scale Vehicle Re-Identification by Knowledge Transfer from Simulated Data and Temporal Attention. 2626-2631 - Chaoran Zhuge, Yujie Peng, Yadong Li, Jiangbo Ai, Junru Chen:
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification. 2632-2637 - Ming-Ching Chang, Chen-Kuo Chiang, Chun-Ming Tsai, Yun-Kai Chang, Hsuan-Lun Chiang, Yu-An Wang, Shih-Ya Chang, Yun-Lun Li, Ming-Shuin Tsai, Hung-Yu Tseng:
AI City Challenge 2020 - Computer Vision for Smart Transportation Applications. 2638-2647 - Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa:
Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection. 2648-2657 - Keval Doshi, Yasin Yilmaz:
Fast Unsupervised Anomaly Detection in Traffic Videos. 2658-2664 - Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. 2665-2674 - Yupeng Zhang, Hengzhi Zhang, Daojing Li, Liyan Liu, Hong Yi, Wei Wang, Hiroshi Suitoh, Makoto Odamaki:
Toward Real-world Panoramic Image Enhancement. 2675-2684 - Vincent Le Guen, Nicolas Thome:
A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. 2685-2688 - Changhee Won, Hochang Seok, Jongwoo Lim:
Upright and Stabilized Omnidirectional Depth Estimation for Wide-baseline Multi-camera Inertial Systems. 2689-2692 - Jaouad Hajjami, Jordan Caracotte, Guillaume Caron, Thibault Napoléon:
ArUcOmni: detection of highly reliable fiducial markers in panoramic images. 2693-2699 - Zhihao Duan, Mustafa Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad:
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images. 2700-2709 - Mathias Franzius, Benjamin Metka, Muhammad Haris, Ute Bauer-Wersing:
Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views. 2710-2718 - Vasileios Gkitsas, Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
Deep Lighting Environment Map Estimation from Spherical Panoramas. 2719-2728 - Nils Hulzebosch, Sarah Ibrahimi, Marcel Worring:
Detecting CNN-Generated Facial Images in Real-World Scenarios. 2729-2738 - Qing Yang, Xia Zhu, Jong-Kae Fwu, Yun Ye, Ganmei You, Yuan Zhu:
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing. 2739-2747 - Akshay Agarwal, Richa Singh, Mayank Vatsa:
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. 2748-2756 - Andras Rozsa, Terrance E. Boult, Zheng Zhong:
Adversarial Attack on Deep Learning-Based Splice Localization. 2757-2765 - Zitong Yu, Yunxiao Qin, Xiaobai Li, Zezheng Wang, Chenxu Zhao, Zhen Lei, Guoying Zhao:
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks. 2766-2774 - Rahul Mishra:
Fake News Detection using Higher-order User to User Mutual-attention Progression in Propagation Paths. 2775-2783 - Eleanor Tursman, Marilyn George, Seny Kamara, James Tompkin:
Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency. 2784-2793 - Hasam Khalid, Simon S. Woo:
OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder. 2794-2803 - Nicholas Carlini, Hany Farid:
Evading Deepfake-Image Detectors with White- and Black-Box Attacks. 2804-2813 - Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala:
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches. 2814-2822 - Abderrahmane Rahiche, Mohamed Cheriet:
Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix Factorization. 2823-2831 - János Horváth, Daniel Mas Montserrat, Hanxiang Hao, Edward J. Delp:
Manipulation Detection in Satellite Images Using Deep Belief Networks. 2832-2840 - Luca Guarnera, Oliver Giudice, Sebastiano Battiato:
DeepFake Detection by Analyzing Convolutional Traces. 2841-2850 - Daniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Güera, Fengqing Zhu, Edward J. Delp:
Deepfakes Detection with Automatic Face Weighting. 2851-2859 - Brian C. Hosler, Matthew C. Stamm:
Detecting Video Speed Manipulation. 2860-2869 - Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. 2870-2879 - Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. 2880-2889 - Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Yi Yang, Shilei Wen:
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition. 2890-2898 - Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. 2899-2908 - Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi:
Low-bit Quantization Needs Good Distribution. 2909-2918 - Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang:
Attentive Semantic Preservation Network for Zero-Shot Learning. 2919-2925 - Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss:
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. 2926-2934 - Yu-Cheng Wu, Chih-Ting Liu, Bo-Ying Chen, Shao-Yi Chien:
Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints. 2935-2943 - Feng Wei, Uyen Trang Nguyen, Hui Jiang:
FoNet: A Memory-efficient Fourier-based Orthogonal Network for Object Recognition. 2944-2952 - Fangjian Han, Li Yu, Yi Jiang:
Computer-aided diagnosis system of lung carcinoma using Convolutional Neural Networks. 2953-2958 - Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu:
Fast Hardware-Aware Neural Architecture Search. 2959-2967 - Chang-Ti Huang, Jun-Cheng Chen, Ja-Ling Wu:
Learning Sparse Neural Networks Through Mixture-Distributed Regularization. 2968-2977 - Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. 2978-2985 - Hadi Pouransari, Zhucheng Tu, Oncel Tuzel:
Least squares binary quantization of neural networks. 2986-2996 - Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju:
RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices. 2997-3007 - Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le:
Randaugment: Practical automated data augmentation with a reduced search space. 3008-3017 - Thanh Vu, Marc Eder, True Price, Jan-Michael Frahm:
Any-Width Networks. 3018-3026 - Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri:
AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding. 3027-3035 - Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina:
Ternary MobileNets via Per-Layer Hybrid Filter Banks. 3036-3046 - Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee:
Data-Free Network Quantization With Adversarial Knowledge Distillation. 3047-3057 - Aditya Rajagopal, Christos-Savvas Bouganis:
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. 3058-3067 - Wei Jiang, Wei Wang, Shan Liu:
Structured Weight Unification and Encoding for Neural Network Compression and Acceleration. 3068-3076 - Christos Chatzikonstantinou, Georgios Th. Papadopoulos, Kosmas Dimitropoulos, Petros Daras:
Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses. 3077-3086 - Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Monte Carlo Gradient Quantization. 3087-3095 - Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek:
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. 3096-3104 - Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek:
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). 3105-3113 - Benjamin Simpson, Ekdeep Singh Lubana, Yuchen Liu, Robert P. Dick:
Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision. 3114-3122 - Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi:
Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge. 3123-3131 - Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew:
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images. 3132-3141 - Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. 3142-3151 - André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling:
On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. 3152-3161 - Davide Coppola, Hwee Kuan Lee, Cuntai Guan:
Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning. 3162-3171 - Nalini Singh, Kang Lee, David Coz, Christof Angermüller, Susan Huang, Aaron Loh, Yuan Liu:
Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification. 3172-3181 - Vinícius Ribeiro, Sandra Avila, Eduardo Valle:
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation. 3182-3191 - Alceu Bissoto, Eduardo Valle, Sandra Avila:
Debiasing Skin Lesion Datasets and Models? Not So Fast. 3192-3201 - Catarina Barata, Carlos Santiago:
How Important Is Each Dermoscopy Image? 3202-3210 - Marc Combalia, Ferran Hueto, Susana Puig, Josep Malvehy, Verónica Vilaplana:
Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. 3211-3220 - Subhranil Bagchi, Anurag Banerjee, Deepti R. Bathula:
Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection. 3221-3228 - Thomas Frerix, Matthias Nießner, Daniel Cremers:
Homogeneous Linear Inequality Constraints for Neural Network Activations. 3229-3234 - Haoyu Ren, Aman Raj, Mostafa El-Khamy, Jungwon Lee:
SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation. 3235-3243 - Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Top-Down Networks: A coarse-to-fine reimagination of CNNs. 3244-3253 - Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho:
MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design. 3254-3263 - Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee:
SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. 3264-3274 - Amit Kumar, Rama Chellappa:
S2LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification. 3275-3283 - Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson:
P2L: Predicting Transfer Learning for Images and Semantic Relations. 3284-3293 - Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. 3294-3302 - Akshaya Ramaswamy, Karthik Seemakurthy, Jayavardhana Gubbi, Balamuralidhar Purushothaman:
Spatio-temporal action detection and localization using a hierarchical LSTM. 3303-3312 - Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? 3313-3323 - Luis Felipe de Araujo Zeni, Cláudio R. Jung:
Distilling Knowledge from Refinement in Multiple Instance Detection Networks. 3324-3333 - Neeraj Kumar, Srishti Goel, Ankur Narang, Hasan Mujtaba:
Robust One Shot Audio to Video Generation. 3334-3343 - Nikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali:
Deflating Dataset Bias Using Synthetic Data Augmentation. 3344-3353 - Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. 3354-3363 - Zekun Zhang, Tianfu Wu:
Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation. 3364-3373 - Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". 3374-3382 - Sidharth Gupta, Parijat Dube, Ashish Verma:
Improving the affordability of robustness training for DNNs. 3383-3392 - Jiawei Chen, Janusz Konrad, Prakash Ishwar:
A Cyclically-Trained Adversarial Network for Invariant Representation Learning. 3393-3402 - Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash:
Role of Spatial Context in Adversarial Robustness for Object Detection. 3403-3412 - Jamie Hayes:
Extensions and limitations of randomized smoothing for robustness guarantees. 3413-3421 - Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor:
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. 3422-3431 - Jeremiah Rounds, Addie Kingsland, Michael J. Henry, Kayla R. Duskin:
Probing for Artifacts: Detecting Imagenet Model Evasions. 3432-3441 - Brett A. Jefferson, Carlos Ortiz Marrero:
Robust Assessment of Real-World Adversarial Examples. 3442-3449 - Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. 3450-3459 - Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang:
Live Trojan Attacks on Deep Neural Networks. 3460-3469 - Xiang Xu, Nikolaos Sarafianos, Ioannis A. Kakadiaris:
On Improving the Generalization of Face Recognition in the Presence of Occlusions. 3470-3480 - Xijie Huang, Peng Qian, Manhua Liu:
Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial Network. 3481-3489 - Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool:
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. 3490-3499 - Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu:
Triple-GAN: Progressive Face Aging with Triple Translation Loss. 3500-3509 - Christian Rathgeb, Didem Dogan, Fabian Stockhardt, Maria De Marsico, Christoph Busch:
Plastic Surgery: An Obstacle for Deep Face Recognition? 3510-3517 - Deniz Engin, Alperen Kantarci, Seçil Arslan, Hazim Kemal Ekenel:
Offline Signature Verification on Real-World Documents. 3518-3526 - Thao M. Dang, Lam Tran, Thuc Dinh Nguyen, Deokjai Choi:
FEHash: Full Entropy Hash for Face Template Protection. 3527-3536 - Rajkumar Theagarajan, Bir Bhanu:
Defending Black Box Facial Recognition Classifiers Against Adversarial Attacks. 3537-3547 - Dinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang:
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. 3548-3556 - Yeongnam Chae, Kelvin Cheng, Pankaj Wasnik, Björn Stenger:
Seamless Payment System Using Face And Low-Energy Bluetooth. 3557-3564 - Giulio Lovisotto, Henry Turner, Simon Eberz, Ivan Martinovic:
Seeing Red: PPG Biometrics Using Smartphone Cameras. 3565-3574 - Uche Osahor, Hadi Kazemi, Ali Dabouei, Nasser M. Nasrabadi:
Quality Guided Sketch-to-Photo Image Synthesis. 3575-3584 - Luis D. Di Martino, Javier Preciozzi, Rafael Grompone von Gioi, Guillermo Garella, Alicia Fernández, Federico Lecumberry:
An a-contrario Biometric Fusion Approach. 3585-3593 - Yaobin Zhang, Weihong Deng:
Class-Balanced Training for Deep Face Recognition. 3594-3603 - Gee-Sern Jison Hsu, Hung-Yi Wu, Moi Hoon Yap:
A Comprehensive Study on Loss Functions for Cross-Factor Face Recognition. 3604-3611 - Po-Ya Hsu, Po-Han Hsu, Hsin-Li Liu:
Fold Electrocardiogram Into a Fingerprint. 3612-3619 - Fangbin Wan, Yang Wu, Xuelin Qian, Yixiong Chen, Yanwei Fu:
When Person Re-identification Meets Changing Clothes. 3620-3628 - Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics for Shape Analysis of Elastic Graphs. 3629-3638 - Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. 3639-3648 - Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause:
Hierarchical Image Classification using Entailment Cone Embeddings. 3649-3658 - Hongjun Choi, Anirudh Som, Pavan K. Turaga:
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. 3659-3666 - Yu-Min Chung, Michael Hull, Austin Lawson:
Smooth Summaries of Persistence Diagrams and Texture Classification. 3667-3675 - Samir Chowdhury, Tom Needham:
Gromov-Wasserstein Averaging in a Riemannian Framework. 3676-3684 - Qitong Jiang, Sebastian Kurtek, Tom Needham:
The Weighted Euler Curve Transform for Shape and Image Analysis. 3685-3694 - Lincon Sales de Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui:
An Interface between Grassmann manifolds and vector spaces. 3695-3704 - Zhe Su, Martin Bauer, Eric Klassen, Kyle A. Gallivan:
Simplifying Transformations for a Family of Elastic Metrics on the Space of Surfaces. 3705-3714 - Naoya Sogi, Lincon Sales de Souza, Bernardo B. Gatto, Kazuhiro Fukui:
Metric Learning with A-based Scalar Product for Image-set Recognition. 3715-3724 - Nadia Hosni, Boulbaba Ben Amor:
A Geometric ConvNet on 3D Shape Manifold for Gait Recognition. 3725-3734 - Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus:
A generic unfolding algorithm for manifolds estimated by local linear approximations. 3735-3743 - Oleg Kachan:
Persistent Homology-based Projection Pursuit. 3744-3751 - He Chen, Gregory S. Chirikjian:
Curvature: A signature for Action Recognition in Video Sequences. 3752-3759 - Michael I. Miller, Daniel Jacob Tward, Alain Trouvé:
Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy. 3760-3765 - Brian C. Lee, Daniel Jacob Tward, Zhiyi Hu, Alain Trouvé, Michael I. Miller:
Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis. 3766-3775 - Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar:
Deep Low-Rank Subspace Clustering. 3776-3781 - Elvis Nunez, Shantanu H. Joshi:
Deep Learning of Warping Functions for Shape Analysis. 3782-3790 - Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang:
Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. 3791-3798 - Shengdong Zhang, Yue Wu, Yuanjie Zhao, Zuomin Cheng, Wenqi Ren:
Color-Constrained Dehazing Model. 3799-3807 - Yanyang Yan, Qingbo Wu, Bo Xu, Jingang Zhang, Wenqi Ren:
VDFlow: Joint Learning for Optical Flow and Video Deblurring. 3808-3816 - Yanyang Yan, Shengdong Zhang, Mingye Ju, Wenqi Ren, Rui Wang, Yuanfang Guo:
A Point Light Source Interference Removal Method for Image Dehazing. 3817-3825 - Marie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs:
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis. 3826-3835 - Erwin Wu, Takayuki Nozawa, Florian Perteneder, Hideki Koike:
VR Alpine Ski Training Augmentation using Visual Cues of Leading Skier. 3836-3845 - Anthony Cioppa, Adrien Deliège, Noor ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund:
Multimodal and multiview distillation for real-time player detection on a football field. 3846-3855 - Kanav Vats, Mehrnaz Fani, Pascale Walters, David A. Clausi, John S. Zelek:
Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions. 3856-3865 - Roman Voeikov, Nikolay Falaleev, Ruslan Baikulov:
TTNet: Real-time temporal and spatial video analysis of table tennis. 3866-3874 - Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro:
Using Player's Body-Orientation to Model Pass Feasibility in Soccer. 3875-3884 - Murray Evans, Laurie Needham, Steffi L. Colyer, Darren P. Cosker:
A Non-invasive Vision Based Approach to Velocity Measurement of Skeleton Training. 3885-3892 - Kaustubha Mendhurwar, Gaurav Handa, Leixiao Zhu, Sudhir P. Mudur, Etienne Beauchesne, Marc LeVangie, Aiden Hallihan, Abbas Javadtalab, Tiberiu Popa:
A System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player Shot Videos. 3893-3900 - Moritz Einfalt, Rainer Lienhart:
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings. 3901-3910 - Julian Quiroga, Henry Carrillo, Edisson Maldonado, John Ruiz, Luis M. Zapata:
As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition. 3911-3920 - Bastien Vanderplaetse, Stéphane Dupont:
Improved Soccer Action Spotting using both Audio and Video Streams. 3921-3931 - Ryan Sanford, Siavash Gorji, Luiz G. Hafemann, Bahareh Pourbabaee, Mehrsan Javan:
Group Activity Detection from Trajectory and Video Data in Soccer. 3932-3940 - Mahdiar Nekoui, Fidel Omar Tito Cruz, Li Cheng:
FALCONS: FAst Learner-grader for CONtorted poses in Sports. 3941-3949 - Simon Reiß, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen:
Activity-aware Attributes for Zero-Shot Driver Behavior Recognition. 3950-3955 - Mert Kilickaya, Arnold W. M. Smeulders:
Diagnosing Rarity in Human-object Interaction Detection. 3956-3960 - Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall:
Pose-Guided Knowledge Transfer for Object Part Segmentation. 3961-3955 - Rohit Jena, Shirsendu Sukanta Halder, Katia P. Sycara:
MA3: Model Agnostic Adversarial Augmentation for Few Shot learning. 3966-3970 - Naoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin:
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification. 3971-3977 - Gewen He, Xiaofeng Liu, Fangfang Fan, Jane You:
Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image. 3978-3983 - Dror Simon, Miriam Farber, Roman Goldenberg:
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles. 3984-3988 - Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. 3989-3993 - Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen:
Unsupervised Batch Normalization. 3994-3999 - Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. 4000-4004 - Chen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu:
An Embarrassingly Simple Baseline to One-shot Learning. 4005-4009 - Sai Vikas Desai, Vineeth N. Balasubramanian:
Towards Fine-grained Sampling for Active Learning in Object Detection. 4010-4014 - Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin:
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. 4015-4019 - Asfand Yaar, Amina Asif, Shan E Ahmed Raza, Nasir M. Rajpoot, Fayyaz A. Minhas:
Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients. 4020-4025 - Elaheh Raisi, Stephen H. Bach:
Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels. 4026-4031 - Zhiyu Xue, Zhenshan Xie, Zheng Xing, Lixin Duan:
Relative Position and Map Networks in Few-shot Learning for Image Classification. 4032-4036 - Keval Doshi, Yasin Yilmaz:
Any-Shot Sequential Anomaly Detection in Surveillance Videos. 4037-4042 - Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. 4043-4047 - Ali K. Thabet, Humam Alwassel, Bernard Ghanem:
Self-Supervised Learning of Local Features in 3D Point Clouds. 4048-4052 - Yang Liu, Jin Li, Xinbo Gao:
A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification. 4053-4057 - Hamid Izadinia, Pierre Garrigues:
ViSeR: Visual Self-Regularization. 4058-4063 - Yanan Li, Yilan Shao, Donghui Wang:
Context-Guided Super-Class Inference for Zero-Shot Detection. 4064-4068 - Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou:
Rethinking Segmentation Guidance for Weakly Supervised Object Detection. 4069-4073 - Chuanzi He, Haidong Zhu, Jiyang Gao, Kan Chen, Ram Nevatia:
CPARR: Category-based Proposal Analysis for Referring Relationships. 4074-4083 - Chong Huang, Kazuhito Koishida:
Improved Active Speaker Detection based on Optical Flow. 4084-4090 - Sho Maeoki, Kohei Uehara, Tatsuya Harada:
Interactive Video Retrieval with Dialog. 4091-4099 - Elad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex M. Bronstein:
Self-Supervised Object Detection and Retrieval Using Unlabeled Videos. 4100-4108 - Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan:
Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. 4109-4116 - Vladimir Iashin, Esa Rahtu:
Multi-modal Dense Video Captioning. 4117-4126 - Thomas Theodoridis, Theocharis Chatzis, Vassilios Solachidis, Kosmas Dimitropoulos, Petros Daras:
Cross-modal Variational Alignment of Latent Spaces. 4127-4136 - Letitia Parcalabescu, Anette Frank:
Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image Retrieval. 4137-4146 - Gewen He, Xiaofeng Liu, Fangfang Fan, Jane You:
Classification-aware Semi-supervised Domain Adaptation. 4147-4156 - Chenyi Ling, Michael Halter, Anne L. Plant, Michael Majurski, Jeffrey Stinson, Joe Chalfoun:
Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast Images. 4157-4163 - Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes:
Celeganser: Automated Analysis of Nematode Morphology and Age. 4164-4173 - Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan P. Holmes:
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks. 4174-4183 - Marco Agus, Enrico Gobbetti, Giovanni Pintore, Corrado Calì, Jens Schneider:
WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decomposition. 4184-4194 - Eisuke Shibuya, Kazuhiro Hotta:
Feedback U-net for Cell Image Segmentation. 4195-4203 - Patrick M. Jensen, Anders B. Dahl, Vedrana Andersen Dahl:
Multi-object Graph-based Segmentation with Non-overlapping Surfaces. 4204-4212 - Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain:
Self-Supervised Feature Extraction for 3D Axon Segmentation. 4213-4219 - Sebastiano Battiato, Alessandro Ortis, Francesca Trenta, Lorenzo Ascari, Mara Politi, Consolata Siniscalco:
Detection and Classification of Pollen Grain Microscope Images. 4220-4227 - Samreen Anjum, Danna Gurari:
CTMC: Cell Tracking with Mitosis Detection Dataset Challenge. 4228-4237 - Rose Nakasi, Jeremy Francis Tusubira, Aminah Zawedde, Ali Mansourian, Ernest Mwebaze:
A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country. 4238-4244 - Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister:
A Topological Nomenclature for 3D Shape Analysis in Connectomics. 4245-4253 - Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh:
Representation Learning of Histopathology Images using Graph Neural Networks. 4254-4261 - Mohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma:
A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology. 4262-4271 - Abhishek Kushwaha, Sarthak Gupta, Anish Bhanushali, Tathagato Rai Dastidar:
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization. 4272-4279 - Vedrana Andersen Dahl, Monica Jane Emerson, Camilla Himmelstrup Trinderup, Anders B. Dahl:
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images. 4280-4288 - Zechen Liu, Zizhang Wu, Roland Tóth:
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. 4289-4298 - Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo:
Wasserstein Loss based Deep Object Detection. 4299-4305 - Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. 4306-4315 - Faith M. Johnson, Kristin J. Dana:
Feudal Steering: Hierarchical Learning for Steering Angle Prediction. 4316-4325 - Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. 4326-4334 - Seungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim:
End-to-End Lane Marker Detection via Row-wise Classification. 4335-4343 - Talha Ahmad Siddiqui, Rishi Madhok, Matthew O'Toole:
An Extensible Multi-Sensor Fusion Framework for 3D Imaging. 4344-4353 - Shaojun Cai, Yingjia Wan:
Topometric Imitation Learning For Route Following Under Appearance Change. 4354-4362 - Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka:
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval. 4363-4370 - Alexandra I. Papadaki, Ronny Hänsch:
Match or No Match: Keypoint Filtering based on Matching Probability. 4371-4378 - Olly Styles, Tanaya Guha, Victor Sanchez, Alex C. Kot:
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras. 4379-4382 - Colin Graber, Alexander G. Schwing:
Dynamic Neural Relational Inference for Forecasting Trajectories. 4383-4392 - Krati Gupta, Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi:
Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma. 4393-4401 - Murchana Baruah, Bonny Banerjee:
A Multimodal Predictive Agent Model for Human Interaction Generation. 4402-4410 - Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. 4411-4421 - Ziming Liu, Guangyu Gao, Lin Sun, Li Fang:
IPG-Net: Image Pyramid Guidance Network for Small Object Detection. 4422-4430 - Zixuan Wang, Zhicheng Zhao, Fei Su:
Real-time Tracking with Stabilized Frame. 4431-4438 - Aybora Koksal, Kutalmis Gokalp Ince, A. Aydin Alatan:
Effect of Annotation Errors on Drone Detection with YOLOv3. 4439-4447 - Han Wu, Weiqiang Li, Wanqi Li, Guizhong Liu:
A Real-time Robust Approach for Tracking UAVs in Infrared Videos. 4448-4455 - Guanghan Ning, Jian Pei, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. 4456-4465 - Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu:
Epipolar Transformer for Multi-view Human Pose Estimation. 4466-4471 - Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman:
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. 4472-4479 - O. L. Barbed, Pablo Azagra, Lucas Teixeira, Margarita Chli, Javier Civera, Ana Cristina Murillo:
Fine grained pointing recognition for natural drone guidance. 4480-4488 - Philipp Köhl, Andreas Specker, Arne Schumann, Jürgen Beyerer:
The MTA Dataset for Multi Target Multi Camera Pedestrian Tracking by Weighted Distance Aggregation. 4489-4498 - Markus Knoche, István Sárándi, Bastian Leibe:
Reposing Humans by Warping 3D Features. 4499-4504
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