CVPR

Domain-Symmetric Networks for Adversarial Domain Adaptation

Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan

Comments CVPR 2019 camera ready. Codes are available at: https://github.com/YBZh/SymNets

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro

Comments CVPR 2019 Oral. Code link: https://github.com/NVIDIA/semantic-segmentation. YouTube link: https://www.youtube.com/watch?v=aEbXjGZDZSQ

The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation

Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk

Journal ref CVPR-W SAIAD 2019

An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective

Swathikiran Sudhakaran, Oswald Lanz

Comments Presented as an extended abstract in the Mutual benefits of cognitive and computer vision (MBCCV) workshop, CVPR 2019

Associative Embedding for Game-Agnostic Team Discrimination

Maxime Istasse, Julien Moreau, Christophe De Vleeschouwer

Comments Published in CVPR 2019 workshop Computer Vision in Sports, under the name "Associative Embedding for Team Discrimination" (http://openaccess.thecvf.com/content_CVPRW_2019/html/CVSports/Istasse_Associative_Embedding_for_Team_Discrimination_CVPRW_2019_paper.html)

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019

Few-Shot Learning with Localization in Realistic Settings

Davis Wertheimer, Bharath Hariharan

Comments Appearing in CVPR 2019; added references in covariance pooling sections, added link to code in supplementary

Deep ChArUco: Dark ChArUco Marker Pose Estimation

Danying Hu, Daniel DeTone, Vikram Chauhan, Igor Spivak, Tomasz Malisiewicz

Comments Published in CVPR 2019

Grounding Referring Expressions in Images by Variational Context

Hanwang Zhang, Yulei Niu, Shih-Fu Chang

Comments in 2018 Conference on Computer Vision and Pattern Recognition (CVPR'18)

NetTailor: Tuning the Architecture, Not Just the Weights

Pedro Morgado, Nuno Vasconcelos

Journal ref CVF/IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks

Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun

Comments Accepted to CVPR 2019, the pruned ResNet-50 model has be released at: https://github.com/dsfour/OICSR

Modularized Textual Grounding for Counterfactual Resilience

Zhiyuan Fang, Shu Kong, Charless Fowlkes, Yezhou Yang

Comments 13 pages, 12 figures, IEEE Conference on Computer Vision and Pattern Recognition, 2019

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh

Journal ref CVPR 2019

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum

Comments CVPR 2017

Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks

Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo

Comments CVPR 2019

Uncertainty Based Detection and Relabeling of Noisy Image Labels

Jan M. Köhler, Maximilian Autenrieth, William H. Beluch

Comments Uncertainty and Robustness in Deep Visual Learning Workshop at CVPR 2019

Example-Guided Style Consistent Image Synthesis from Semantic Labeling

Miao Wang, Guo-Ye Yang, Ruilong Li, Run-Ze Liang, Song-Hai Zhang, Peter. M. Hall, Shi-Min Hu

Comments CVPR 2019 - Code and data - https://github.com/cxjyxxme/pix2pixSC

Feedback Network for Image Super-Resolution

Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu

Comments Accepted to CVPR 2019

Label Efficient Semi-Supervised Learning via Graph Filtering

Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan

Comments Accepted by 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

SpliceRadar: A Learned Method For Blind Image Forensics

Aurobrata Ghosh, Zheng Zhong, Terrance E Boult, Maneesh Singh

Comments CVPR 2019, Workshop on Media Forensics, 8 pages

Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining

Rajeev Yasarla, Vishal M. Patel

Comments The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Deep Modular Co-Attention Networks for Visual Question Answering

Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian

Comments Accepted at CVPR 2019

Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction

Nikolay Savinov, Lubor Ladicky, Christian Haene, Marc Pollefeys

Comments Published at CVPR 2015

Age and gender bias in pedestrian detection algorithms

Martim Brandao

Comments Appeared at the Workshop on Fairness Accountability Transparency and Ethics in Computer Vision (FATE CV) at CVPR 2019

Efficient Multi-Domain Network Learning by Covariance Normalization

Yunsheng Li, Nuno Vasconcelos

Comments 10 Pages Accepted by CVPR 2019

Deep Residual Learning for Image Compression

Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto

Comments accepted by CVPR workshop and Challenge on Learned Image Compression (CLIC) 2019

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases

Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin, Nagender Aneja, Samuel Abramov

Comments Accepted in CVPR 2019 Workshop Towards Causal, Explainable and Universal Medical Visual Diagnosis

SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding

Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski

Comments Dataset paper for SkelNetOn Challenge, in association with Deep Learning for Geometric Shape Understanding Workshop at CVPR 2019

FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge

Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz

Comments Ranked 3rd in the EPIC-Kitchens 2019 action recognition challenge, held as part of CVPR 2019

Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions

Joey Hong, Benjamin Sapp, James Philbin

Comments Accepted at CVPR 2019

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 8454-8462

Adversarial Defense by Stratified Convolutional Sparse Coding

Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su

Comments Published at CVPR 2019