CVPR

Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion

Dario Pavllo, David Joseph Tan, Marie-Julie Rakotosaona, Federico Tombari

Comments CVPR 2023. Code and models are available at https://github.com/google-research/nerf-from-image

N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution

Haram Choi, Jeongmin Lee, Jihoon Yang

Comments CVPR 2023 camera-ready. Codes are available at https://github.com/rami0205/NGramSwin

Beyond mAP: Towards better evaluation of instance segmentation

Rohit Jena, Lukas Zhornyak, Nehal Doiphode, Pratik Chaudhari, Vivek Buch, James Gee, Jianbo Shi

Comments Accepted at CVPR 2023

Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis

Thomas Fel, Melanie Ducoffe, David Vigouroux, Remi Cadene, Mikael Capelle, Claire Nicodeme, Thomas Serre

Journal ref Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023

Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

Liulei Li, Wenguan Wang, Tianfei Zhou, Jianwu Li, Yi Yang

Comments CVPR 2023. code: https://github.com/0liliulei/Mask-VOS

Adversarial Counterfactual Visual Explanations

Guillaume Jeanneret, Loïc Simon, Frédéric Jurie

Comments CVPR 2023 camera-ready; Main manuscript + supplementary material

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu

Comments Accepted by CVPR 2023. Our code and models are available at https://github.com/qinzheng93/GraphSCNet

On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering

Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer

Comments CVPR 2023. Code available at https://github.com/DanielTrosten/DeepMVC

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran

Comments CVPR 2023

Dual-path Adaptation from Image to Video Transformers

Jungin Park, Jiyoung Lee, Kwanghoon Sohn

Comments CVPR 2023. Code is available at https://github.com/park-jungin/DualPath

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng

Comments CVPR 2023; Code: https://github.com/jiaqixuac/MAP-Net

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang

Comments CVPR 2023 Camera Ready (Supp Attached). Code Link: https://github.com/Phoenix-V/DiGeo

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding

Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara

Comments CVPR 2023, Project page: https://reagan1311.github.io/locate/, Video: https://www.youtube.com/watch?v=RLHansdFxII

Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation

Mattia Litrico, Alessio Del Bue, Pietro Morerio

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

Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

Fangqiang Ding, Andras Palffy, Dariu M. Gavrila, Chris Xiaoxuan Lu

Comments 10 pages, 7 figures. Accepted by CVPR 2023. See our code at https://github.com/Toytiny/CMFlow. Supplementary materials can be found at https://drive.google.com/file/d/1Iewcqnjzecge2ePBM8k2tg-85LX5xs3N/view

RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models

Jiabao Lei, Jiapeng Tang, Kui Jia

Comments CVPR 2023

BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation

Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Qian Zhang, Wenyu Liu

Comments Accepted to CVPR 2023. Code and models: https://github.com/hustvl/BoxTeacher

ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching

Yan Shi, Jun-Xiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, Kai Zhang

Comments Has been accepted by IEEE Conference on Computer Vision and Pattern Recognition 2022,(modified some typos)

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings

Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer

Comments CVPR 2023

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection

Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang

Comments Accepted by CVPR 2023. Implementation available: https://github.com/lliuz/MixTeacher

NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images

Yunfan Ye, Renjiao Yi, Zhirui Gao, Chenyang Zhu, Zhiping Cai, Kai Xu

Comments CVPR 2023

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu

Comments Accepted by CVPR 2023

Perspective Fields for Single Image Camera Calibration

Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy, Oliver Wang, Kevin Matzen, Matthew Sticha, David F. Fouhey

Comments CVPR 2023 Camera Ready. Project Page https://jinlinyi.github.io/PerspectiveFields/

Post-training Quantization on Diffusion Models

Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan

Comments Accepted to CVPR 2023

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein

Comments Project Page: https://spinnerf3d.github.io

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

Stare at What You See: Masked Image Modeling without Reconstruction

Hongwei Xue, Peng Gao, Hongyang Li, Yu Qiao, Hao Sun, Houqiang Li, Jiebo Luo

Comments Accepted by CVPR 2023

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency

Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

Comments CVPR 2023

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, Kris Kitani

Comments Accepted by CVPR 2023. 8 pages + 10 pages of appendix. Renamed OOS as Observation-centric Re-Update (ORU)

Point-NeRF: Point-based Neural Radiance Fields

Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann

Comments Accepted to CVPR 2022 (Oral)

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5438-5448) (2022)

Open-Set Representation Learning through Combinatorial Embedding

Geeho Kim, Junoh Kang, Bohyung Han

Comments CVPR 2023