CVPR

Task-Free Continual Learning

Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars

Comments Accepted as a conference paper in CVPR 2019. Rahaf Aljundi and Klaas Kelchtermans have contributed equally to this work

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl

Comments In Proc. CVPR 2019

Simultaneous Feature Learning and Hash Coding with Deep Neural Networks

Hanjiang Lai, Yan Pan, Ye Liu, Shuicheng Yan

Comments This paper has been accepted to IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2015

Learning Two-View Correspondences and Geometry Using Order-Aware Network

Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao

Comments Accepted to ICCV 2019, and Winner solution to both tracks of CVPR IMW 2019 Challenge. Code will be available soon at https://github.com/zjhthu/OANet.git

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold

YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi

Comments Published in CVPR 2017

Multi-Frame Quality Enhancement for Compressed Video

Ren Yang, Mai Xu, Zulin Wang, Tianyi Li

Comments to appear in CVPR 2018

Learning to Adapt for Stereo

Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr

Comments Accepted at CVPR2019. Code available at https://github.com/CVLAB-Unibo/Learning2AdaptForStereo

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 9661-9670

Domain Generalization by Solving Jigsaw Puzzles

Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi

Comments Accepted at CVPR 2019 (oral)

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke

Comments In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019

Fully Automatic Video Colorization with Self-Regularization and Diversity

Chenyang Lei, Qifeng Chen

Comments Published at the Computer Vision and Pattern Recognition (CVPR), 2019

Unsupervised Domain-Specific Deblurring via Disentangled Representations

Boyu Lu, Jun-Cheng Chen, Rama Chellappa

Comments Accepted by CVPR 2019. Code is released at: https://github.com/ustclby/Unsupervised-Domain-Specific-Deblurring/

Representation Flow for Action Recognition

AJ Piergiovanni, Michael S. Ryoo

Comments CVPR 2019

Journal ref CVPR 2019

An Empirical Study of Propagation-based Methods for Video Object Segmentation

Hengkai Guo, Wenji Wang, Guanjun Guo, Huaxia Li, Jiachen Liu, Qian He, Xuefeng Xiao

Comments The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops

Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval

Binghui Chen, Weihong Deng

Comments CVPR 2019

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu

Comments Presented in CVPR 19: http://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Multi-Agent_Tensor_Fusion_for_Contextual_Trajectory_Prediction_CVPR_2019_paper.html ; Architecture details available: https://github.com/programmingLearner/MATF-architecture-details

Shape Robust Text Detection with Progressive Scale Expansion Network

Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao

Comments Accepted by CVPR 2019. arXiv admin note: substantial text overlap with arXiv:1806.02559

Key Instance Selection for Unsupervised Video Object Segmentation

Donghyeon Cho, Sungeun Hong, Sungil Kang, Jiwon Kim

Comments Ranked 3rd in 'Unsupervised DAVIS Challenge' (CVPR 2019)

Unsupervised Domain Adaptation via Calibrating Uncertainties

Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris Metaxas

Comments 4 pages

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 99-102

Exploring Factors for Improving Low Resolution Face Recognition

Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazım Kemal Ekenel, Jean-Philippe Thiran

Comments CVPR Workshop on Biometrics 2019

Convolutional Neural Networks on Randomized Data

Cristian Ivan

Comments 8 pages, 17 figures, presented at Deep-Vision workshop, CVPR 2019

Journal ref Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1-8. 2019

Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking

Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park

Comments This work is accepted by CVPR 2019

Multimodal Age and Gender Classification Using Ear and Profile Face Images

Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel

Comments 8 pages, 4 figures, accepted for CVPR 2019 - Workshop on Biometrics

Understanding Adversarial Robustness Through Loss Landscape Geometries

Vinay Uday Prabhu, Dian Ang Yap, Joyce Xu, John Whaley

Comments Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning, and CVPR 2019 Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS)

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

Comments Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Xingyu Liu, Charles R. Qi, Leonidas J. Guibas

Comments CVPR 2019. Source code available at http://github.com/xingyul/flownet3d

Interaction-and-Aggregation Network for Person Re-identification

Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen

Comments 10 pages, 8 figures, accepted by CVPR 2019

VRSTC: Occlusion-Free Video Person Re-Identification

Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen

Comments 10 pages, 6 figures, 5 tables. Accepted by CVPR 2019

Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach

Amir Atapour-Abarghouei, Toby P. Breckon

Comments CVPR 2019

Coordinate-based Texture Inpainting for Pose-Guided Image Generation

Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky

Comments Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019

Growing a Brain: Fine-Tuning by Increasing Model Capacity

Yu-Xiong Wang, Deva Ramanan, Martial Hebert

Comments CVPR