CVPR

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model

Takehiro Aoshima, Takashi Matsubara

Comments 15 pages. The last update made no changes except for adding the following link to the CVF repository: CVPR2023/html/Aoshima_Deep_Curvilinear_Editing_Commutative_and_Nonlinear_Image_Manipulation_for_Pretrained_CVPR_2023_paper.html" target="_blank" rel="noopener">https://openaccess.thecvf.com/content/CVPR2023/html/Aoshima_Deep_Curvilinear_Editing_Commutative_and_Nonlinear_Image_Manipulation_for_Pretrained_CVPR_2023_paper.html. Here, you can find our code to reproduce our results

Journal ref The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR2023)

PanoSwin: a Pano-style Swin Transformer for Panorama Understanding

Zhixin Ling, Zhen Xing, Xiangdong Zhou, Manliang Cao, Guichun Zhou

Comments CVPR 2023

Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers

Dahun Kim, Anelia Angelova, Weicheng Kuo

Comments CVPR 2023 Highlight - https://github.com/mcahny/rovit ; adds LAION-2B result

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas Guibas, Yin Zhou, Dragomir Anguelov

Comments Accepted by CVPR 2023; Our WOD-ObjectAsset can be accessed through waymo.com/open

CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution

Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal

Comments Accepted at 19th IEEE Workshop on Perception Beyond the Visible Spectrum,CVPR 2023

Ego-Body Pose Estimation via Ego-Head Pose Estimation

Jiaman Li, C. Karen Liu, Jiajun Wu

Comments CVPR 2023 (Award Candidate)

IterativePFN: True Iterative Point Cloud Filtering

Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He

Comments This paper has been accepted to the IEEE/CVF CVPR Conference, 2023

Differentiable Shadow Mapping for Efficient Inverse Graphics

Markus Worchel, Marc Alexa

Comments CVPR 2023, project page: https://mworchel.github.io/differentiable-shadow-mapping

Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video

Wenzheng Zeng, Yang Xiao, Sicheng Wei, Jinfang Gan, Xintao Zhang, Zhiguo Cao, Zhiwen Fang, Joey Tianyi Zhou

Comments Accepted by CVPR 2023

Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping

Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, Mitchell Thomas, Max Mauerman, A. K. M. Saiful Islam, Beth Tellman

Comments CVPR 2023: Earthvision Workshop

CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees

Lukas Meyer, Andreas Gilson, Oliver Scholz, Marc Stamminger

Comments 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering

Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran

Comments Presented at CVPR 2022

Learning by Aligning Videos in Time

Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran

Comments Presented at CVPR 2021

Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar

Patrick Palmer, Martin Krueger, Richard Altendorfer, Ganesh Adam, Torsten Bertram

Comments Published at CVPR 2023 Workshop on 3D Vision and Robotics (https://drive.google.com/file/d/1xj4R5ucH3PaR7QdRDJbbkjS-3iBUsruR/view)

One-Shot Neural Fields for 3D Object Understanding

Valts Blukis, Taeyeop Lee, Jonathan Tremblay, Bowen Wen, In So Kweon, Kuk-Jin Yoon, Dieter Fox, Stan Birchfield

Comments IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on XRNeRF: Advances in NeRF for the Metaverse 2023

GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer

Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu

Comments Accepted by TPAMI. Extended version of our CVPR 2022 paper [arXiv:2202.06688]

Transformers in Single Object Tracking: An Experimental Survey

Janani Thangavel, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando

Comments 36 pages, 22 figures, review paper, submitted to IEEE Access, updated with CVPR-2023 papers

Journal ref IEEE Access 2023

Genie: Show Me the Data for Quantization

Yongkweon Jeon, Chungman Lee, Ho-young Kim

Comments Accepted by CVPR 2023, https://github.com/SamsungLabs/Genie

FFF: Fragments-Guided Flexible Fitting for Building Complete Protein Structures

Weijie Chen, Xinyan Wang, Yuhang Wang

Comments Published in the Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 19776-19785

Temporally Consistent Online Depth Estimation Using Point-Based Fusion

Numair Khan, Eric Penner, Douglas Lanman, Lei Xiao

Comments Source code: https://github.com/facebookresearch/TemporallyConsistentDepth

Journal ref CVPR 2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives

Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti

Comments CVPR 2023

UniSim: A Neural Closed-Loop Sensor Simulator

Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun

Comments CVPR 2023 Highlight. Project page: https://waabi.ai/research/unisim/

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving

Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun

Comments 19 pages, 13 figures

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 1379-1388

SBNet: Segmentation-based Network for Natural Language-based Vehicle Search

Sangrok Lee, Taekang Woo, Sang Hun Lee

Comments 7 pages, 4 figures, CVPR Workshop Paper

Journal ref 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 4049-4055

StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification

Sangrok Lee, Eunsoo Park, Hongsuk Yi, Sang Hun Lee

Comments 7 pages, 2 figures, CVPR Workshop Paper (Revised)

Journal ref 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 2590-2597

Making the V in Text-VQA Matter

Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty

Comments Accepted for the CVPR 2023 Workshop on Open-Domain Reasoning Under Multi-Modal Settings

From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving

Ferdinand Mütsch, Helen Gremmelmaier, Nicolas Becker, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner

Comments Ferdinand Mütsch, Helen Gremmelmaier, and Nicolas Becker contributed equally. Accepted for publication at CVPR 2023 VCAD workshop

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification

Haocong Rao, Chunyan Miao

Comments Accepted by CVPR 2023. Codes are available at https://github.com/Kali-Hac/TranSG. Supplemental materials are included in the conference proceedings

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems

Yangyang Shu, Anton van den Hengel, Lingqiao Liu

Comments CVPR 2023

HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models

Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He

Comments CVPR 2023.Open sourced, Code and Model Available