CVPR

Focal Visual-Text Attention for Visual Question Answering

Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander Hauptmann

Comments In CVPR 2018. Code, models and dataset are available here: https://memexqa.cs.cmu.edu/

Improving Transferability of Adversarial Examples with Input Diversity

Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan Yuille

Comments CVPR 2019, code is available at: https://github.com/cihangxie/DI-2-FGSM

TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection

Lin Song, Shiwei Zhang, Gang Yu, Hongbin Sun

Comments CVPR-2019

Multitask Text-to-Visual Embedding with Titles and Clickthrough Data

Pranav Aggarwal, Zhe Lin, Baldo Faieta, Saeid Motiian

Comments 4 pages. Language and Vision Workshop, in conjunction with CVPR 2019

An attention-based multi-resolution model for prostate whole slide imageclassification and localization

Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold

Comments 8 pages, 4 figures, CVPR 2019 Towards Causal, Explainable and Universal Medical Visual Diagnosis (MVD) Workshop

P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu

Comments Accepted by CVPR 2019

$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding

Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder

Comments Accepted as Oral at CVPR 2019

Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding

Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang

Comments Accepted in CVPR 2019

Towards Real Scene Super-Resolution with Raw Images

Xiangyu Xu, Yongrui Ma, Wenxiu Sun

Comments Accepted in CVPR 2019, project page: https://sites.google.com/view/xiangyuxu/rawsr_cvpr19

Reasoning Visual Dialogs with Structural and Partial Observations

Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu

Comments CVPR 2019 Oral paper

Blind Super-Resolution With Iterative Kernel Correction

Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong

Comments Accepted by CVPR 2019. The Table 1 in the CVF camera ready version is corrected in this pre-print version

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le

Comments Published in CVPR 2019

Journal ref CVPR 2019

Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild

Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker

Comments Accepted to CVPR 2019

SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images

Nour Karessli, Romain Guigourès, Reza Shirvany

Comments IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2019 Focus on Fashion and Subjective Search - Understanding Subjective Attributes of Data (FFSS-USAD)

Additive Adversarial Learning for Unbiased Authentication

Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu

Comments IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2019)

GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling

Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung

Comments To appear in CVPR 2019 workshop. The winners of the NTIRE2019 Challenge on Image Denoising Challenge: Track 2 sRGB

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang

Comments CVPR 2019

Attention Based Image Compression Post-Processing Convolutional Neural Network

Yuyang Xue, Jiannan Su

Comments 4 pages, 2 figures, CVPR Compression Workshop

Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories

Roberto Arroyo, Javier Tovar, Francisco J. Delgado, Emilio J. Almazán, Diego G. Serrador, Antonio Hurtado

Comments Conference on Computer Vision and Pattern Recognition (CVPR). Language and Vision Workshop 2019

A Compression Objective and a Cycle Loss for Neural Image Compression

Caglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska Hannuksela

Comments Accepted in Challenge and Workshop on Learned Image Compression (CLIC) as a part of CVPR 2019

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan

Comments Accepted to CVPR 2019 as an oral presentation. Project page at https://yochengliu.github.io/Relation-Shape-CNN

Unsupervised Multi-modal Neural Machine Translation

Yuanhang Su, Kai Fan, Nguyen Bach, C. -C. Jay Kuo, Fei Huang

Comments Accepted to CVPR 2019

SparseFool: a few pixels make a big difference

Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

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

Guided Stereo Matching

Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia

Comments CVPR 2019

Budget-aware Semi-Supervised Semantic and Instance Segmentation

Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giro-i-Nieto

Comments To appear in CVPR-W 2019 (DeepVision workshop)

Dynamics are Important for the Recognition of Equine Pain in Video

Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström

Comments CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition

Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes

Ziquan Lan, Zi Jian Yew, Gim Hee Lee

Comments CVPR 2019, 8 pages, 5 figures

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence

Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu

Comments Accepted in CVPR'19. Code and model are available at: https://github.com/lelimite4444/BridgeDepthFlow

Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction

Chao Wang, Xiaohu Guo

Comments In the SUMO Workshop of CVPR 2019

Large-scale Distance Metric Learning with Uncertainty

Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin

Comments accepted by CVPR'18