CVPR

SCATTER: Selective Context Attentional Scene Text Recognizer

Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, R. Manmatha

Comments In CVPR 2020

What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective

Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu

Comments Accepted to CVPR 2020; Project Page: https://github.com/ZhangLi-CS/GCP_Optimization

GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang

Comments To appear in CVPR 2020

Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses

Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen

Comments Accepted to CVPR 2020

Cascaded Human-Object Interaction Recognition

Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen

Comments Accepted to CVPR 2020. Winner of the ICCV-2019 PIC Challenge on both HOIW and PIC tracks. Code: https://github.com/tfzhou/C-HOI

Scalable Uncertainty for Computer Vision with Functional Variational Inference

Eduardo D C Carvalho, Ronald Clark, Andrea Nicastro, Paul H J Kelly

Comments CVPR 2020

Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences

Zhu Zhang, Zhou Zhao, Yang Zhao, Qi Wang, Huasheng Liu, Lianli Gao

Comments The camera ready version for CVPR 2020

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn

Comments CVPR 2020

PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng

Comments Accepted to CVPR 2020. Code is available at https://github.com/YueLiao/PPDM

Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations

Sven Gowal, Chongli Qin, Po-Sen Huang, Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli

Comments Accepted at CVPR 2020

SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

Angela Dai, Christian Diller, Matthias Nießner

Comments CVPR 2020; Video: https://youtu.be/rN6D3QmMNuU

Enhancing Generic Segmentation with Learned Region Representations

Or Isaacs, Oran Shayer, Michael Lindenbaum

Comments CVPR 2020. arXiv admin note: substantial text overlap with arXiv:1909.11735

Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA

Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach

Comments CVPR 2020

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing

Comments To appear at CVPR 2020 as an Oral paper

Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang

Comments Accepted by CVPR 2020, higher-resolution images than the camera-ready version

Action Modifiers: Learning from Adverbs in Instructional Videos

Hazel Doughty, Ivan Laptev, Walterio Mayol-Cuevas, Dima Damen

Comments CVPR 2020

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

Yiyi Liao, Katja Schwarz, Lars Mescheder, Andreas Geiger

Comments CVPR 2020

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, Jian Sun

Comments Accepted to Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020. (CVPR 2020)

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering

Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan

Comments An oral paper of CVPR 2020

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman

Comments in CVPR 2020

Momentum Contrast for Unsupervised Visual Representation Learning

Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick

Comments CVPR 2020 camera-ready. Code: https://github.com/facebookresearch/moco

Deep Unfolding Network for Image Super-Resolution

Kai Zhang, Luc Van Gool, Radu Timofte

Comments Accepted by CVPR 2020. Project page: https://github.com/cszn/USRNet

Learning Dynamic Routing for Semantic Segmentation

Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun

Comments Accepted by CVPR 2020 as Oral

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu

Comments CVPR 2020

Learning Better Lossless Compression Using Lossy Compression

Fabian Mentzer, Luc Van Gool, Michael Tschannen

Comments CVPR'20 camera-ready version

Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment

Rui Xiang, Rongjie Lai, Hongkai Zhao

Comments 8 pages, 6 figures. Compared to the version to be published in the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Figure 1 has been changed to a more illustrative example and run time table 1 has been updated by our recently optimized code

Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras

R. Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa

Comments submitted to CVPR 2020

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong

Comments 10 pages

Journal ref CVPR 2020

Meshed-Memory Transformer for Image Captioning

Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara

Comments CVPR 2020

In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks

Heng Yang, Luca Carlone

Comments Camera-ready, CVPR 2020. 18 pages, 5 figures, 1 table

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020