Finally, we show experimental results on both human hand and body pose estimation benchmark datasets and demonstrate that our method significantly outperforms all baselines continuously under the same amount of annotation budget. I have a couple of papers that are among the top-10 most cited papers published in top-tier conferences for each year. Jun 22, 2022: MAXIM selected as 1 of the best paper nomination! Multi-modal Research Expanding What is Possible, Transfer Learning is Being Battle Hardened. (Medical Imaging) 10. Copyright 2022 Adobe. @InProceedings{Chan_2022_CVPR, author = {Chan, Eric R. and Lin, Connor Z. and Chan, Matthew A. and Nagano, Koki and Pan, Boxiao and De Mello, Shalini and Gallo, Orazio and Guibas, Leonidas J. and Tremblay, Jonathan and Khamis, Sameh and Karras . CVPR2022 Papers (Papers/Codes/Demos) 1. The python script of downloading CVPR 2022 oral papers. You signed in with another tab or window. These CVPR 2021 papers are the Open Access versions, provided by the Computer Vision Foundation. The Computer Vision and Pattern Recognition (CVPR) conference was held this week (June 2022) in New Orleans, pushing the boundaries of computer vision research. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. Does Robustness on ImageNet Transfer to Downstream Tasks? FAQ: https: . Few-Shot Object Detection With Fully Cross-Transformer - when you do not have much data few-shot detection allows you to train a model quickly with just a few examples to learn from. The conference proceedings will be publicly available via the CVF website, with the final version posted to IEEE Xplore after the conference. . A lot of work at CVPR was done on battle hardening these techniques. Hopefully this shortened list was a helpful way to find important takeaways from this year's group of papers. Colab demo by @deshwalmahesh; Replicate web demo . Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space, Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts, Globetrotter: Connecting Languages by Connecting Images, Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Mode. (CVPR), 2022 (Oral). It has become increasingly evident that transformers do a better job of modeling most tasks, and the computer vision community is leaning into their adoption and implementation. For those of us in applied computer vision, tasks like object detection and instance segmentation come to mind. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. (Remote Sensing Image) 12. Apr 25, 2022: Added demos. This material is presented to ensure timely dissemination of scholarly and technical work. It runs from 10/14/2022 to 02/27/2023. &/ (Image&Video Retrieval/Video Understanding) 6. More info. There are many papers released during each CVPR annual conference and you can access previous papers to see how the industry focus has evolved. Does Robustness on ImageNet Transfer to Downstream Tasks? Moreover, to obtain similar pose estimation accuracy, our MATAL framework can save around 40% labeling efforts on average compared to state-of-the-art active learning frameworks. Here are the research categories at CVPR 2022 sorted by number of papers in each focus: From this list we can see the top two categories that researchers focus on: detection/recognition and generation. Deadline: Fri, Nov 4, 2022 11:59pm Pacific Time. When one says computer vision, a number of things come to mind such as self-driving cars and facial recognition. Mar 3, 2022: paper accepted to CVPR 2022! 2. Opportunities to give oral presentations at CVPR 2022 are extended to the top 4-5% of the total number of papers submitted. Use Roboflow to manage datasets, train models in one-click, and deploy to web, mobile, or the edge. The framework could be effectively optimized via Meta-Optimization to accelerate the adaptation to the gradually expanded labeled data during deployment. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. The transformer architecture was part of a family of sequence modeling frameworks used on language like RNNs, and LSTMs. All rights reserved. / (Text Detection/Recognition) 11. A TAILOR PAPER SELECTED FOR ORAL PRESENTATION AT CVPR 2022 A paper on learning from a limited data for human body/pose estimation from TAILOR researcher Hossein Rahmani, Lancaster University, has been accepted in the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2022) for oral presentation (acceptance rate is ~4%). This paper investigates how to generate proper proposals. In recent years, I have been interested in unsupervised learning and my explorative works are the top cited papers published in CVPR 2020, 2021, 2022. For Samsung's Toronto AI Center, this is the second time in two years they have earned such a chance, as they were also selected for oral presentation in 2020. (Face) 7. The python script of downloading CVPR 2022 oral papers. Accepted Papers. (Image Processing) 4. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Detection involves making inference from an image like object detection and generation involves generating new images, like DALL E. Download Excel file here. 10/19 - CVPR 2022 invites (self-)nominations for reviewers using this form 9/30 - All authors should carefully review the Author Guidelines and Ethics Guidelines, which contain a number of important updates for 2022 09/25 - CVPR 2022 Tutorials Call For Proposals updated here 06/22 - CVPR 2022 paper submission deadline will be Nov 16th, 2021. Are Multimodal Transformers Robust to Missing Modality? These CVPR 2022 papers are the Open Access versions, provided by the Computer Vision Foundation. Best Paper Nominee arXiv code : An Empirical Study . (3D Vision) 8. . (Estimation) 5. Multi-modal research involves combining the semantics of multiple data types, like text and images. . Nearly all these papers are the result of research internships or other collaborations with university students and faculty. New Orleans, Louisiana, June 19, 20, 2022 Workshops This CVPR, authors cannot be added or deleted after the paper registration deadline, and authors cannot be reordered after the paper submission deadline. BokehMe: When Neural Rendering Meets Classical RenderingJuewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang, Ensembling Off-the-shelf Models for GAN TrainingNupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, FaceFormer: Speech-Driven 3D Facial Animation with TransformersYingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura, GAN-Supervised Dense Visual AlignmentWilliam Peebles Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei Efros, Eli ShechtmanBest Paper Finalist, IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric ImagesKai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely, MAT: Mask-Aware Transformer for Large Hole Image InpaintingWenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia, NeRFusion: Fusing Radiance Fields for Large-Scale Scene ReconstructionXiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu, Point-NeRF: Point-based Neural Radiance FieldsQiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann, StyleSDF: High-Resolution 3D-Consistent Image and Geometry GenerationRoy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, Ira Kemelmacher-Shlizerman, The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth RefinementIlya Chugunov, Yuxuan Zhang, Zhihao Xia, Xuaner (Cecilia) Zhang, Jiawen Chen, Felix Heide, Towards Layer-wise Image VectorizationXu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi, vCLIMB: A Novel Video Class Incremental Learning BenchmarkAndrs Villa, Kumail Alhamoud, Juan Len Alczar, Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance SegmentationSu Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim, APES: Articulated Part Extraction from Sprite SheetsZhan Xu, Matthew Fisher, Yang Zhou, Deepali Aneja, Rushikesh Dudhat, Li Yi, Evangelos Kalogerakis, Audio-driven Neural Gesture Reenactment with Video Motion GraphsYang Zhou; Jimei Yang; Dingzeyu Li; Jun Saito; Deepali Aneja; Evangelos Kalogerakis, Boosting Robustness of Image Matting with Context Assembling and Strong Data AugmentationYutong Dai, Brian Price, He Zhang, Chunhua Shen, Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in VideosSukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim, Controllable Animation of Fluid Elements in Still ImagesAniruddha Mahapatra, Kuldeep Kulkarni, Cross Modal Retrieval with Querybank NormalisationSimion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie, EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal RetrievalHaoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie, Estimating Example Difficulty using Variance of GradientsChirag Agarwal, Daniel Dsouza, Sara Hooker, Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep ModelsZhibo Wang, Xiaowei Dong, Henry Xue, Zhifei Zhang, Weifeng Chiu, Tao Wei, Kui Ren, Focal length and object pose estimation via render and compareGeorgy Ponimatkin, Yann Labb, Bryan Russell, Mathieu Aubry, Josef Sivic, Generalizing Interactive Backpropagating Refinement for Dense Prediction NetworksFanqing Lin, Brian Price, Tony Martinez, GIRAFFE HD: A High-Resolution 3D-aware Generative ModelYang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae, GLASS: Geometric Latent Augmentation for Shape SpacesSanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher, Niloy Mitra, High Quality Segmentation for Ultra High-resolution ImagesTiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia, InsetGAN for Full-Body Image GenerationAnna Frhstck, Krishna Kumar Singh, Eli Shechtman, Niloy Mitra, Peter Wonka, Jingwan Lu, Its Time for Artistic Correspondence in Music and VideoDdac Surs, Carl Vondrick, Bryan Russell, Justin Salamon, Layered Depth Refinement with Mask GuidanceSoo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim, Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single CameraJae Shin Yoon, Duygu Ceylan, Tuanfeng Wang, Jingwan Lu, Jimei Yang, Zhixin Shu, Hyun Soo Park, Lite Vision Transformer with Enhanced Self-AttentionChenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan Yuille, MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio DescriptionsMattia Soldan, Alejandro Pardo, Juan Len Alczar, Fabian Caba Heilbron, Chen Zhao, Silvio Giancola, Bernard Ghanem, Many-to-many Splatting for Efficient Video Frame InterpolationPing Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko, Neural Convolutional SurfacesLuca Morreale, Noam Aigerman, Paul Guerrero, Vladimir Kim, Niloy Mitra, Neural Volumetric Object SelectionZhongzheng Ren, Aseem Agarwala, Bryan Russell, Alexander Schwing, Oliver Wang, Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape PriorsYun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg, On Aliased Resizing and Surprising Subtleties in GAN EvaluationGaurav Parmar, Richard Zhang, Jun-Yan Zhu, Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-LabelingDat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar, Per-Clip Video Object SegmentationKwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee, PhotoScene: Physically-Based Material and Lighting Transfer for Indoor ScenesYu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milo Haan, Kalyan Sunkavalli, Manmohan Chandraker, RigNeRF: Fully Controllable Neural 3D PortraitsShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu, ShapeFormer: Transformer-based Shape Completion via Sparse RepresentationXingguang Yan, Liqiang Lin, Niloy Mitra, Dani Lischinski, Danny Cohen-Or, Hui Huang, SketchEdit: Mask-Free Local Image Manipulation with Partial SketchesYu Zeng, Zhe Lin, Vishal M. Patel, Spatially-Adaptive Multilayer Selection for GAN Inversion and EditingGaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh, Towards Language-Free Training for Text-to-Image GenerationYufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun, Unsupervised Learning of De-biased Representation with Pseudo-bias AttributeSeonguk Seo, Joon-Young Lee, Bohyung Han, ARIA: Adversarially Robust Image Attribution for Content ProvenanceMaksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John CollomossePresented at Workshop on Media Forensics, Integrating Pose and Mask Predictions for Multi-person in VideosMiran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo KimPresented at Efficient Deep Learning for Computer Vision Workshop, MonoTrack: Shuttle trajectory reconstruction from monocular badminton videoPaul Liu, Jui-Hsien WangPresented at Workshop on Computer Vision in Sports, The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body EstimationZhe Wang, Jimei Yang, Charless FowlkesPresented at Workshop and Competition on Affective Behavior Analysis in-the-wild, User-Guided Variable Rate Learned Image CompressionRushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Reddy Nangi, Kuldeep KulkarniPresented atChallenge and Workshop on Learned Image Compression, Video-ReTime: Learning Temporally Varying Speediness for Time RemappingSimon Jenni, Markus Woodson, Fabian Caba HeilbronPresented at Workshop: AI for Content Creation, AI for Content Creation WorkshopCynthia Lu, Sketch-oriented Deep LearningJohn Collomosse, AI for Content Creation WorkshopRichard Zhang, Dugyu Ceylan, Holistic Video Understanding workshopVishy Swaminathan, LatinX in AI WorkshopLuis Figueroa, Matheus Gadelha, New Trends in Image Restoration and Enhancement WorkshopRichard Zhang, BokehMe: When Neural Rendering Meets Classical Rendering, Ensembling Off-the-shelf Models for GAN Training, FaceFormer: Speech-Driven 3D Facial Animation with Transformers, IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images, MAT: Mask-Aware Transformer for Large Hole Image Inpainting, NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction, Point-NeRF: Point-based Neural Radiance Fields, StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation, The Implicit Values of a Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement, vCLIMB: A Novel Video Class Incremental Learning Benchmark, VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation, APES: Articulated Part Extraction from Sprite Sheets, Audio-driven Neural Gesture Reenactment with Video Motion Graphs, Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation, Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos, Controllable Animation of Fluid Elements in Still Images, Cross Modal Retrieval with Querybank Normalisation, EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval, Estimating Example Difficulty using Variance of Gradients, Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models, Focal length and object pose estimation via render and compare, Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks, GIRAFFE HD: A High-Resolution 3D-aware Generative Model, GLASS: Geometric Latent Augmentation for Shape Spaces, High Quality Segmentation for Ultra High-resolution Images, Its Time for Artistic Correspondence in Music and Video, Layered Depth Refinement with Mask Guidance, Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera, Lite Vision Transformer with Enhanced Self-Attention, MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions, Many-to-many Splatting for Efficient Video Frame Interpolation, Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors, On Aliased Resizing and Surprising Subtleties in GAN Evaluation, Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling, PhotoScene: Physically-Based Material and Lighting Transfer for Indoor Scenes, RigNeRF: Fully Controllable Neural 3D Portraits, ShapeFormer: Transformer-based Shape Completion via Sparse Representation, SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing, Towards Language-Free Training for Text-to-Image Generation, Unsupervised Learning of De-biased Representation with Pseudo-bias Attribute, ARIA: Adversarially Robust Image Attribution for Content Provenance, Integrating Pose and Mask Predictions for Multi-person in Videos, Efficient Deep Learning for Computer Vision Workshop, MonoTrack: Shuttle trajectory reconstruction from monocular badminton video, The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation, Workshop and Competition on Affective Behavior Analysis in-the-wild, User-Guided Variable Rate Learned Image Compression, Challenge and Workshop on Learned Image Compression, Video-ReTime: Learning Temporally Varying Speediness for Time Remapping, New Trends in Image Restoration and Enhancement Workshop.