CVPR

Hierarchical Human Parsing with Typed Part-Relation Reasoning

Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao

Comments Accepted to CVPR 2020. Code:https://github.com/hlzhu09/Hierarchical-Human-Parsing

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen

Comments CVPR 2020

Unsupervised Learning from Video with Deep Neural Embeddings

Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel Yamins

Comments To appear in CVPR 2020

PANDA: A Gigapixel-level Human-centric Video Dataset

Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J Brady, Qionghai Dai, Lu Fang

Comments Accepted by IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2020

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen

Comments Accepted by CVPR 2020; Our work won the first place in the iNaturalist 2019 large scale species classification competition, and our code is open-source and available at https://github.com/Megvii-Nanjing/BBN

Better Captioning with Sequence-Level Exploration

Jia Chen, Qin Jin

Comments accepted by CVPR 2020

AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation

Hyeongmin Lee, Taeoh Kim, Tae-young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee

Comments CVPR 2020

Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi

Comments Accepted at CVPR 2019

Factor Graph Attention

Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing

Comments Accepted to CVPR 2019; revised version includes bottom-up features

Semantic Graph Convolutional Networks for 3D Human Pose Regression

Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas

Comments In CVPR 2019 (13 pages including supplementary material). The code can be found at https://github.com/garyzhao/SemGCN

Probability Weighted Compact Feature for Domain Adaptive Retrieval

Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou

Comments Accepted by CVPR 2020; The source code is available at https://github.com/fuxianghuang1/PWCF

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai

Comments Accepted to CVPR 2020, supplementary materials included

Show, Edit and Tell: A Framework for Editing Image Captions

Fawaz Sammani, Luke Melas-Kyriazi

Comments Accepted to CVPR 2020

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

Comments To be appear in CVPR 2020. We achieve a state-of-the-art 78.4% top-1 accuracy on ImageNet in a mobile setting, which is about a 2.1% gain over EfficientNet-B0

Fashion Outfit Complementary Item Retrieval

Yen-Liang Lin, Son Tran, Larry S. Davis

Comments Accepted by CVPR 2020

Holistically-Attracted Wireframe Parsing

Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr

Comments Accepted by CVPR 2020

Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness

Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

Comments 13 pages, 6 figures To be published in proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR 2020)

Rethinking the Route Towards Weakly Supervised Object Localization

Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu

Comments Accepted by CVPR 2020; Corrected some typo in the paper; The code repository is https://github.com/tzzcl/PSOL

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li

Comments CVPR 2020 accepted

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa

Comments Accepted to CVPR 2020. Preprint

Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu

Comments To be appeared in CVPR 2020

Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs

Shizhe Chen, Qin Jin, Peng Wang, Qi Wu

Comments To be appeared in CVPR 2020

Transferring Dense Pose to Proximal Animal Classes

Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova

Comments Accepted at CVPR 2020; Project page: https://asanakoy.github.io/densepose-evolution

4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras

Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu

Comments Accepted to CVPR 2020

MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment

Florian Bernard, Zeeshan Khan Suri, Christian Theobalt

Comments to appear at CVPR

Blurry Video Frame Interpolation

Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao

Comments This work is accepted in CVPR 2020

Meta-Transfer Learning for Zero-Shot Super-Resolution

Jae Woong Soh, Sunwoo Cho, Nam Ik Cho

Comments Will be presented in CVPR 2020

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian Jun Zhang

Comments Accepted by CVPR 2020

Evolving Losses for Unsupervised Video Representation Learning

AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo

Comments arXiv admin note: text overlap with arXiv:1906.03248

Journal ref CVPR 2020

Towards Universal Representation Learning for Deep Face Recognition

Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain

Comments to appear in CVPR 2020