default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID16th ECCV 2020: Glasgow, UK - Volume 29
- Andrea Vedaldi
, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX. Lecture Notes in Computer Science 12374, Springer 2020, ISBN 978-3-030-58525-9 - Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations. 1-18 - Duo Li, Anbang Yao, Qifeng Chen:
Learning to Learn Parameterized Classification Networks for Scalable Input Images. 19-35 - Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich:
Stereo Event-Based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction. 36-53 - Charu Sharma, Manohar Kaul:
Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds. 54-70 - Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal:
Representation Learning on Visual-Symbolic Graphs for Video Understanding. 71-90 - Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim:
Distance-Normalized Unified Representation for Monocular 3D Object Detection. 91-107 - Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao, Jaesik Min:
Sequential Deformation for Accurate Scene Text Detection. 108-124 - Yiming Wang, Alessio Del Bue:
Where to Explore Next? ExHistCNN for History-Aware Autonomous 3D Exploration. 125-140 - Robert Mendel, Luis Antônio de Souza, David Rauber, João Paulo Papa, Christoph Palm:
Semi-supervised Segmentation Based on Error-Correcting Supervision. 141-157 - Junde Li, Swaroop Ghosh:
Quantum-Soft QUBO Suppression for Accurate Object Detection. 158-173 - Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-Similarity Curriculum Learning. 174-190 - Ayushi Dutta, Yashaswi Verma, C. V. Jawahar:
Recurrent Image Annotation with Explicit Inter-label Dependencies. 191-207 - Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. 208-224 - Tyler Zhu, Per Karlsson, Christoph Bregler:
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. 225-242 - Yu-Hui Lee, Shang-Hong Lai:
ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images. 243-258 - Ying Wang, Yadong Lu, Tijmen Blankevoort:
Differentiable Joint Pruning and Quantization for Hardware Efficiency. 259-277 - Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou:
Learning to Generate Customized Dynamic 3D Facial Expressions. 278-294 - Jan Brejcha, Michal Lukác, Yannick Hold-Geoffroy, Oliver Wang, Martin Cadík:
LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors. 295-312 - Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou, Zhibo Chen:
Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration. 313-329 - Sixue Gong, Xiaoming Liu, Anil K. Jain:
Jointly De-Biasing Face Recognition and Demographic Attribute Estimation. 330-347 - Olga Veksler:
Regularized Loss for Weakly Supervised Single Class Semantic Segmentation. 348-365 - Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy:
Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. 366-382 - Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. 383-398 - Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy:
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations. 399-414 - Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou:
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. 415-433 - Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick:
Learning to Learn Words from Visual Scenes. 434-452 - Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis:
On Transferability of Histological Tissue Labels in Computational Pathology. 453-469 - Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic:
Learning Actionness via Long-Range Temporal Order Verification. 470-487 - Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas:
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays. 488-503 - Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee:
Character Region Attention for Text Spotting. 504-521 - Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. 522-539 - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Dual Mixup Regularized Learning for Adversarial Domain Adaptation. 540-555 - Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma:
Robust and On-the-Fly Dataset Denoising for Image Classification. 556-572 - Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar:
Imaging Behind Occluders Using Two-Bounce Light. 573-588 - Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. 589-607 - Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. 608-625 - Aditya Sanghi:
Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning. 626-642 - Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer:
Adversarial Data Augmentation via Deformation Statistics. 643-659 - Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. 660-676 - Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh:
Learning Permutation Invariant Representations Using Memory Networks. 677-693 - Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling:
Feature Space Augmentation for Long-Tailed Data. 694-710 - Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Laying the Foundations of Deep Long-Term Crowd Flow Prediction. 711-728 - Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. 729-745 - Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni:
Fairness by Learning Orthogonal Disentangled Representations. 746-761 - Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert:
Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. 762-780 - He Zhao, Richard P. Wildes:
On Diverse Asynchronous Activity Anticipation. 781-799
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-05-19 22:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
