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ORCIDCVPR 2020: 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