CVPR

OpenScene: 3D Scene Understanding with Open Vocabularies

Songyou Peng, Kyle Genova, Chiyu "Max" Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas Funkhouser

Comments CVPR 2023. Project page: https://pengsongyou.github.io/openscene

HNeRV: A Hybrid Neural Representation for Videos

Hao Chen, Matt Gwilliam, Ser-Nam Lim, Abhinav Shrivastava

Comments CVPR 2023. Project page at https://haochen-rye.github.io/HNeRV, and Code at https://github.com/haochen-rye/HNeRV

Detecting and Grounding Multi-Modal Media Manipulation

Rui Shao, Tianxing Wu, Ziwei Liu

Comments CVPR 2023. Project page: https://rshaojimmy.github.io/Projects/MultiModal-DeepFake Code: https://github.com/rshaojimmy/MultiModal-DeepFake

SMPConv: Self-moving Point Representations for Continuous Convolution

Sanghyeon Kim, Eunbyung Park

Comments Accepted to CVPR 2023

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Marlène Careil, Jakob Verbeek, Stéphane Lathuilière

Comments Accepted to CVPR 2023

Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention

Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao

Comments Accepted by CVPR 2023 workshop

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology

Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen

Comments To be published in proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation

Fengyi Shen, Akhil Gurram, Ziyuan Liu, He Wang, Alois Knoll

Comments CVPR2023

Journal ref 2023 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Training Strategies for Vision Transformers for Object Detection

Apoorv Singh

Comments 9 pages, 2 figures, IEEE CVPR WAD'23 conference

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson Cothren, Khoa Luu

Comments Accepted to CVPR'23

HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering

Bang-Dang Pham, Phong Tran, Anh Tran, Cuong Pham, Rang Nguyen, Minh Hoai

Comments Accepted to CVPR 2023

Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations

Thomas Tanay, Aleš Leonardis, Matteo Maggioni

Comments Accepted at CVPR 2023

MaLP: Manipulation Localization Using a Proactive Scheme

Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu

Comments Published at Conference on Computer Vision and Pattern Recognition 2023

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello

Comments CVPR 2023 Highlight. Project page and code: https://jerryxu.net/ODISE

On Advantages of Mask-level Recognition for Outlier-aware Segmentation

Matej Grcić, Josip Šarić, Siniša Šegvić

Comments Accepted to CVPR 2023 workshop on Visual Anomaly and Novelty Detection (VAND)

Vision Transformers are Parameter-Efficient Audio-Visual Learners

Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius

Comments CVPR 2023 Project Page: https://genjib.github.io/project_page/LAVISH/

MAGVIT: Masked Generative Video Transformer

Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

Comments CVPR 2023 highlight

VindLU: A Recipe for Effective Video-and-Language Pretraining

Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius

Comments CVPR 2023. Project page: https://klauscc.github.io/vindlu.html

PIVOT: Prompting for Video Continual Learning

Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem

Comments CVPR 2023

FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs

Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki

Comments CVPR 2023

OrienterNet: Visual Localization in 2D Public Maps with Neural Matching

Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulo, Richard Newcombe, Peter Kontschieder, Vasileios Balntas

Comments CVPR 2023

MonoHuman: Animatable Human Neural Field from Monocular Video

Zhengming Yu, Wei Cheng, Xian Liu, Wayne Wu, Kwan-Yee Lin

Comments 15 pages, 14 figures. Accepted to CVPR 2023. Project page: https://yzmblog.github.io/projects/MonoHuman/

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

Comments Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Learning to Name Classes for Vision and Language Models

Sarah Parisot, Yongxin Yang, Steven McDonagh

Comments Accepted to CVPR 2023

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh

Comments CVPR 2023

On the Stability-Plasticity Dilemma of Class-Incremental Learning

Dongwan Kim, Bohyung Han

Comments CVPR 2023

Cross-Domain Image Captioning with Discriminative Finetuning

Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni, Nathanael Carraz Rakotonirina, Francesca Franzon, Marco Baroni

Comments CVPR 2023

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification

Minsu Kim, Seungryong Kim, JungIn Park, Seongheon Park, Kwanghoon Sohn

Comments CVPR 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Comments Accepted to CVPR 2023

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution

Jaeill Kim, Suhyun Kang, Duhun Hwang, Jungwook Shin, Wonjong Rhee

Comments Accepted at CVPR 2023. Code is available at: https://github.com/jaeill/CVPR23-VNE