CVPR

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers

Shady Abu Hussein, Tom Tirer, Raja Giryes

Comments Accepted to CVPR 2020 (Oral). Code is available at https://github.com/shadyabh/Correction-Filter

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo

Journal ref 2020 Conference on Computer Vision and Pattern Recognition

VQA with no questions-answers training

Ben-Zion Vatashsky, Shimon Ullman

Comments Accepted to CVPR 2020

Learning to Simulate Dynamic Environments with GameGAN

Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler

Comments CVPR 2020

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images

Zhihao Duan, M. Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad

Comments CVPR 2020 OmniCV Workshop paper extended version

Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors

Bijan Haney, Alexander Lavin

Journal ref CVPR 2020 Workshop on Fine-Grained Visual Categorization

GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition

Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin

Comments Accepted to CVPR 2020

Hierarchical Feature Embedding for Attribute Recognition

Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu

Comments CVPR 2020

ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours

VSR Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Singh

Comments Accepted at CVPR 2020

SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang

Comments CVPR 2020

Differentiable Adaptive Computation Time for Visual Reasoning

Cristobal Eyzaguirre, Alvaro Soto

Comments CVPR 2020

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

Comments This paper is accepted by CVPR 2020

Tangent Images for Mitigating Spherical Distortion

Marc Eder, Mykhailo Shvets, John Lim, Jan-Michael Frahm

Comments Updated version of CVPR 2020 publication (9 pages, 13 pages supplementary). Code: https://github.com/meder411/Tangent-Images

Learning to Dress 3D People in Generative Clothing

Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, Michael J. Black

Comments CVPR-2020 camera ready. Code and data are available at https://cape.is.tue.mpg.de

Kervolutional Neural Networks

Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan

Comments oral paper in CVPR 2019

Journal ref 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 31-40

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Sheng Zhao, Shuyang Cheng, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov

Comments CVPR 2020

Instance-aware Image Colorization

Jheng-Wei Su, Hung-Kuo Chu, Jia-Bin Huang

Comments CVPR 2020. Project: https://ericsujw.github.io/InstColorization/ Code: https://github.com/ericsujw/InstColorization

HyperSTAR: Task-Aware Hyperparameters for Deep Networks

Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

Comments Published at CVPR 2020 (Oral)

AOWS: Adaptive and optimal network width search with latency constraints

Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gerard Medioni

Comments Accepted to CVPR 2020 (oral)

Interpretable and Accurate Fine-grained Recognition via Region Grouping

Zixuan Huang, Yin Li

Comments Accepted to CVPR 2020 (Oral)

Editing in Style: Uncovering the Local Semantics of GANs

Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk

Comments IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2020. Code: https://github.com/IVRL/GANLocalEditing

Detailed 2D-3D Joint Representation for Human-Object Interaction

Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu

Comments Accepted to CVPR 2020, supplementary materials included, code available:https://github.com/DirtyHarryLYL/DJ-RN

Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos

Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova

Comments Learning from Unlabeled Videos, CVPR Workshop, 2020

Intra- and Inter-Action Understanding via Temporal Action Parsing

Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

Comments CVPR 2020 Poster; Project page: https://sdolivia.github.io/TAPOS/

Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting

Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu

Comments CVPR 2020 oral paper. 22 pages, 11 figures

Focus on defocus: bridging the synthetic to real domain gap for depth estimation

Maxim Maximov, Kevin Galim, Laura Leal-Taixé

Comments CVPR 2020

Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt

Hangyu Lin, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue

Comments Accepted to CVPR 2020

A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize

Nazifa Khan, Oliver A. S. Lyon, Mark Eramian, Ian McQuillan

Comments to be published in the IEEE CVPR 2020 Workshop Proceedings, and accepted by The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture in conjunction with IEEE/CVF CVPR 2020

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang

Comments CVPR 2020

Optimal least-squares solution to the hand-eye calibration problem

Amit Dekel, Linus Härenstam-Nielsen, Sergio Caccamo

Comments Accepted to CVPR 2020