CVPR

se-Shweshwe Inspired Fashion Generation

Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed

Comments CVPR 2021 Beyond Fairness workshop

Local and Global GANs with Semantic-Aware Upsampling for Image Generation

Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe

Comments Accepted to TPAMI, an extended version of a paper published in CVPR 2020. arXiv admin note: substantial text overlap with arXiv:1912.12215

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths

Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

Comments 16 pages, 17 figures. Journel extension of CVPR 2021 paper PMP-Net(arXiv:2012.03408), Accepted by TPAMI

Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset

Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1820-1828. 2021

Privacy Leakage of Adversarial Training Models in Federated Learning Systems

Jingyang Zhang, Yiran Chen, Hai Li

Comments 6 pages, 6 figures. Submitted to CVPR'22 workshop "The Art of Robustness"

Adaptive Aggregation Networks for Class-Incremental Learning

Yaoyao Liu, Bernt Schiele, Qianru Sun

Comments Accepted to CVPR 2021. Code: https://github.com/yaoyao-liu/class-incremental-learning

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu

Journal ref CVPR 2021

Bi-GCN: Binary Graph Convolutional Network

Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo

Comments Accepted by CVPR 2021 as oral presentation

Diverse Image Generation via Self-Conditioned GANs

Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba

Comments CVPR 2020. Code: https://github.com/stevliu/self-conditioned-gan. Webpage: http://selfcondgan.csail.mit.edu/

Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Bowen Wen, Chaitanya Mitash, Kostas Bekris

Comments CVPR 2021 Workshop on 3D Vision and Robotics. arXiv admin note: substantial text overlap with arXiv:2007.13866

Journal ref CVPR 2021 Workshop

Stay Positive: Non-Negative Image Synthesis for Augmented Reality

Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 10050-10060

MonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes

Thomas Y. Chen

Comments 5 pages, 2 figures, Proceedings of NeurIPS 2020 - Learning Meaningful Representations of Life (LMRL) Workshop. The FASEB Journal

Journal ref CVPR 2021 Workshop on CV4Animals (Computer Vision for Animal Behavior Tracking and Modeling)

Generating a Fusion Image: One's Identity and Another's Shape

Donggyu Joo, Doyeon Kim, Junmo Kim

Comments CVPR 2018

Discourse Parsing in Videos: A Multi-modal Appraoch

Arjun R. Akula, Song-Chun Zhu

Comments Accepted in CVPR 2019 Workshop on Language and Vision (Oral Presentation)

Journal ref CVPR 2019 Workshop on Language and Vision (Oral Presentation)

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching

Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers

Comments Extended chapter of conference paper in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 to be published in Shape Analysis: Euclidean, Discrete and Algebraic Geometric Methods by Springer

Reproducing BowNet: Learning Representations by Predicting Bags of Visual Words

Harry Nguyen, Stone Yun, Hisham Mohammad

Comments This is a reproducibility project. Original work is by Gidaris et al. published in CVPR 2020. Pytorch implementation is public on Github. v2 clarifies comments regarding communication with original authors

PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

Comments CVPR 2019; Corresponding author: Kai Xu (kevin.kai.xu@gmail.com); Project page: www.kevinkaixu.net/projects/partnet.html

Journal ref CVPR 2019

Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation

Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu

Comments CVPR 2020

Representing Videos as Discriminative Sub-graphs for Action Recognition

Dong Li, Zhaofan Qiu, Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei

Comments CVPR 2021

Boosting Video Representation Learning with Multi-Faceted Integration

Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xiao-Ping Zhang, Dong Wu, Tao Mei

Comments CVPR 2021

Cloud Sphere: A 3D Shape Representation via Progressive Deformation

Zongji Wang, Yunfei Liu, Feng Lu

Comments This paper was submitted first in CVPR 2021 (paper id: 2255), and then was submitted in CVM 2022 (id: 160)

TSI: Temporal Saliency Integration for Video Action Recognition

Haisheng Su, Kunchang Li, Jinyuan Feng, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao

Comments Submitted to CVPR 2022

Domain Adaptation with Auxiliary Target Domain-Oriented Classifier

Jian Liang, Dapeng Hu, Jiashi Feng

Comments Fix typos after CVPR 2021. Code is available at https://github.com/tim-learn/ATDOC

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

Anirudh S Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister

Comments Accepted at CVPR RVSU Workshop 2021

Where Does It End? -- Reasoning About Hidden Surfaces by Object Intersection Constraints

Michael Strecke, Joerg Stueckler

Comments IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020, Project page: https://cosection.is.tue.mpg.de/, Source code: https://github.com/EmbodiedVision/cosection

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

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets

Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim

Comments TPAMI submission. First two authors contributed equally. This is a journal extension of our CVPR 2020 paper arXiv:2001.07437. Code: https://github.com/clovaai/wsolevaluation

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

Haiyan Wang, Jiahao Pang, Muhammad A. Lodhi, Yingli Tian, Dong Tian

Comments Accepted at CVPR 2021 (Oral Presentation)

Quantum Permutation Synchronization

Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas Guibas

Comments 19 pages, 15 figures, 4 tables; web pages: https://vcai.mpi-inf.mpg.de/projects/QUANTUMSYNC/, https://quantumcomputervision.github.io/

Journal ref Computer Vision and Pattern Recognition (CVPR) 2021

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation

Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon

Comments CVPR 2021 (updated references in this version)

Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations

Umberto Michieli, Pietro Zanuttigh

Comments CVPR 2021. 22 pages, 10 figures, 11 tables