{"id":605,"date":"2023-06-18T19:27:01","date_gmt":"2023-06-18T19:27:01","guid":{"rendered":"https:\/\/todaysainews.com\/index.php\/2023\/06\/18\/google-at-cvpr-2023-google-ai-blog\/"},"modified":"2025-04-27T07:33:22","modified_gmt":"2025-04-27T07:33:22","slug":"google-at-cvpr-2023-google-ai-blog","status":"publish","type":"post","link":"https:\/\/todaysainews.com\/index.php\/2023\/06\/18\/google-at-cvpr-2023-google-ai-blog\/","title":{"rendered":"Google at CVPR 2023 \u2013 Google AI Blog"},"content":{"rendered":"

[ad_1]
\n<\/p>\n

\nThis week marks the beginning of the premier annual Computer Vision and Pattern Recognition<\/a> conference (CVPR 2023), held in-person in Vancouver, BC (with additional virtual content). As a leader in computer vision research and a Platinum Sponsor<\/a>, Google Research<\/a> will have a strong presence across CVPR 2023 with 90 papers being presented at the main conference<\/a> and active involvement in over 40 conference workshops<\/a> and tutorials<\/a>.\n<\/p>\n

\nIf you are attending CVPR this year, please stop by our booth to chat with our researchers who are actively exploring the latest techniques for application to various areas of machine perception<\/a>. Our researchers will also be available to talk about and demo several recent efforts, including on-device ML applications with MediaPipe<\/a>, strategies for differential privacy, neural radiance field technologies and much more.\n<\/p>\n

\nYou can also learn more about our research being presented at CVPR 2023 in the list below (Google affiliations in bold<\/strong>).\n<\/p>\n

\n

\nAligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training<\/a>
\n
Yifan Jiang*, Peter Hedman<\/strong>, Ben Mildenhall<\/strong>, Dejia Xu, Jonathan T. Barron<\/strong>, Zhangyang Wang, Tianfan Xue*<\/em>\n<\/p>\n

\nBlendFields: Few-Shot Example-Driven Facial Modeling<\/a>
\n
Kacper Kania, Stephan Garbin, Andrea Tagliasacchi<\/strong>, Virginia Estellers, Kwang Moo Yi, Tomasz Trzcinski, Julien Valentin, Marek Kowalski<\/em>\n<\/p>\n

\nEnhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints<\/a>
\n
Guilherme Potje, Felipe Cadar, Andre Araujo<\/strong>, Renato Martins, Erickson Nascimento<\/em>\n<\/p>\n

\nHow Can Objects Help Action Recognition?<\/a>
\n
Xingyi Zhou<\/strong>, Anurag Arnab<\/strong>, Chen Sun<\/strong>, Cordelia Schmid<\/strong><\/em>\n<\/p>\n

\nHybrid Neural Rendering for Large-Scale Scenes with Motion Blur<\/a>
\n
Peng Dai, Yinda Zhang<\/strong>, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi<\/em>\n<\/p>\n

\nIFSeg: Image-Free Semantic Segmentation via Vision-Language Model<\/a>
\n
Sukmin Yun, Seong Park, Paul Hongsuck Seo<\/strong>, Jinwoo Shin<\/em>\n<\/p>\n

\nLearning from Unique Perspectives: User-Aware Saliency Modeling<\/a> (see blog post<\/a>)
\n
Shi Chen*, Nachiappan Valliappan<\/strong>, Shaolei Shen<\/strong>, Xinyu Ye<\/strong>, Kai Kohlhoff<\/strong>, Junfeng He<\/strong><\/em>\n<\/p>\n

\nMAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis<\/a>
\n
Tianhong Li*, Huiwen Chang<\/strong>, Shlok Kumar Mishra, Han Zhang<\/strong>, Dina Katabi, Dilip Krishnan<\/strong><\/em>\n<\/p>\n

\nNeRF-Supervised Deep Stereo<\/a>
\n
Fabio Tosi, Alessio Tonioni<\/strong>, Daniele Gregorio, Matteo Poggi<\/em>\n<\/p>\n

\nOmnimatte3D: Associating Objects and their Effects in Unconstrained Monocular Video<\/a>
\n
Mohammed Suhail, Erika Lu<\/strong>, Zhengqi Li<\/strong>, Noah Snavely<\/strong>, Leon Sigal, Forrester Cole<\/strong><\/em>\n<\/p>\n

\nOpenScene: 3D Scene Understanding with Open Vocabularies<\/a>
\n
Songyou Peng<\/strong>, Kyle Genova<\/strong>, Chiyu Jiang<\/strong>, Andrea Tagliasacchi<\/strong>, Marc Pollefeys<\/strong>, Thomas Funkhouser<\/strong><\/em>\n<\/p>\n

\nPersonNeRF: Personalized Reconstruction from Photo Collections<\/a>
\n
Chung-Yi Weng, Pratul Srinivasan<\/strong>, Brian Curless<\/strong>, Ira Kemelmacher-Shlizerman<\/strong><\/em>\n<\/p>\n

\nPrefix Conditioning Unifies Language and Label Supervision<\/a>
\n
Kuniaki Saito*, Kihyuk Sohn<\/strong>, Xiang Zhang<\/strong>, Chun-Liang Li<\/strong>, Chen-Yu Lee<\/strong>, Kate Saenko, Tomas Pfister<\/strong><\/em>\n<\/p>\n

\nRethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning<\/a> (see blog post<\/a>)
\n
AJ Piergiovanni<\/strong>, Weicheng Kuo<\/strong>, Anelia Angelova<\/strong><\/em>\n<\/p>\n

\nBurstormer: Burst Image Restoration and Enhancement Transformer<\/a>
\n
Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang<\/strong><\/em>\n<\/p>\n

\nDecentralized Learning with Multi-Headed Distillation<\/a>
\n
Andrey Zhmoginov<\/strong>, Mark Sandler<\/strong>, Nolan Miller<\/strong>, Gus Kristiansen<\/strong>, Max Vladymyrov<\/strong><\/em>\n<\/p>\n

\nGINA-3D: Learning to Generate Implicit Neural Assets in the Wild<\/a>
\n
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas Guibas<\/strong>, Yin Zhou, Dragomir Anguelov<\/em>\n<\/p>\n

\nGrad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions<\/a>
\n
Yun He, Danhang Tang<\/strong>, Yinda Zhang<\/strong>, Xiangyang Xue, Yanwei Fu<\/em>\n<\/p>\n

\nHi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble<\/a>
\n
Chun-Han Yao*, Wei-Chih Hung, Yuanzhen Li<\/strong>, Michael Rubinstein<\/strong>, Ming-Hsuan Yang<\/strong>, Varun Jampani<\/strong><\/em>\n<\/p>\n

\nHyperbolic Contrastive Learning for Visual Representations beyond Objects<\/a>
\n
Songwei Ge, Shlok Mishra, Simon Kornblith<\/strong>, Chun-Liang Li, <\/strong>David Jacobs<\/em>\n<\/p>\n

\nImagic: Text-Based Real Image Editing with Diffusion Models<\/a>
\n
Bahjat Kawar*, Shiran Zada<\/strong>, Oran Lang<\/strong>, Omer Tov<\/strong>, Huiwen Chang<\/strong>, Tali Dekel<\/strong>, Inbar Mosseri<\/strong>, Michal Irani<\/strong><\/em>\n<\/p>\n

\nIncremental 3D Semantic Scene Graph Prediction from RGB Sequences<\/a>
\n
Shun-Cheng Wu, Keisuke Tateno<\/strong>, Nassir Navab, Federico Tombari<\/strong><\/em>\n<\/p>\n

\nIPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction<\/a>
\n
Dekai Zhu, Guangyao Zhai, Yan Di, Fabian Manhardt<\/strong>, Hendrik Berkemeyer, Tuan Tran, Nassir Navab, Federico Tombari<\/strong>, Benjamin Busam<\/em>\n<\/p>\n

\nLearning to Generate Image Embeddings with User-Level Differential Privacy<\/a>
\n
Zheng Xu, Maxwell Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan<\/em><\/strong>\n<\/p>\n

\nNoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs<\/a>
\n
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali<\/strong>, Varun Jampani<\/strong>, Venkatesh Babu Radhakrishnan<\/em>\n<\/p>\n

\nNULL-Text Inversion for Editing Real Images Using Guided Diffusion Models<\/a>
\n
Ron Mokady*, Amir Hertz*, Kfir Aberman<\/strong>, Yael Pritch<\/strong>, Daniel Cohen-Or*<\/em>\n<\/p>\n

\nSCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow<\/a>
\n
Itai Lang*, Dror Aiger<\/strong>, Forrester Cole<\/strong>, Shai Avidan<\/strong>, Michael Rubinstein<\/strong><\/em>\n<\/p>\n

\nShape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion<\/a>
\n
Dario Pavllo*, David Joseph Tan<\/strong>, Marie-Julie Rakotosaona<\/strong>, Federico Tombari<\/strong><\/em>\n<\/p>\n

\nTexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation<\/a>
\n
Hanzhi Chen, Fabian Manhardt<\/strong>, Nassir Navab, Benjamin Busam<\/em>\n<\/p>\n

\nTryOnDiffusion: A Tale of Two UNets<\/a>
\n
Luyang Zhu*, Dawei Yang<\/strong>, Tyler Zhu<\/strong>, Fitsum Reda<\/strong>, William Chan<\/strong>, Chitwan Saharia<\/strong>, Mohammad Norouzi<\/strong>, Ira Kemelmacher-Shlizerman<\/strong><\/em>\n<\/p>\n

\nA New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning<\/a>
\n
Aishwarya Kamath*, Peter Anderson<\/strong>, Su Wang<\/strong>, Jing Yu Koh*, Alexander Ku<\/strong>, Austin Waters<\/strong>, Yinfei Yang*, Jason Baldridge<\/strong>, Zarana Parekh<\/strong><\/em>\n<\/p>\n

\nCLIPPO: Image-and-Language Understanding from Pixels Only<\/a>
\n
Michael Tschannen<\/strong>, Basil Mustafa<\/strong>, Neil Houlsby<\/strong><\/em>\n<\/p>\n

\nControllable Light Diffusion for Portraits<\/a>
\n
David Futschik<\/strong>, Kelvin Ritland<\/strong>, James Vecore<\/strong>, Sean Fanello<\/strong>, Sergio Orts-Escolano<\/strong>, Brian Curless<\/strong>, Daniel S\u00fdkora<\/strong>, Rohit Pandey<\/strong><\/em>\n<\/p>\n

\nCUF: Continuous Upsampling Filters<\/a>
\n
Cristina Vasconcelos<\/strong>, Cengiz Oztireli<\/strong>, Mark Matthews<\/strong>, Milad Hashemi<\/strong>, Kevin Swersky<\/strong>, Andrea Tagliasacchi<\/strong><\/em>\n<\/p>\n

\nImproving Zero-Shot Generalization and Robustness of Multi-modal Models<\/a>
\n
Yunhao Ge*, Jie Ren<\/strong>, Andrew Gallagher<\/strong>, Yuxiao Wang<\/strong>, Ming-Hsuan Yang<\/strong>, Hartwig Adam<\/strong>, Laurent Itti<\/strong>, Balaji Lakshminarayanan<\/strong>, Jiaping Zhao<\/strong><\/em>\n<\/p>\n

\nLOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding<\/a>
\n
Gen Li, Varun Jampani<\/strong>, Deqing Sun<\/strong>, Laura Sevilla-Lara<\/em>\n<\/p>\n

\nNerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision<\/a>
\n
Xiaoshuai Zhang<\/strong>, Abhijit Kundu<\/strong>, Thomas Funkhouser<\/strong>, Leonidas Guibas<\/strong>, Hao Su<\/strong>, Kyle Genova<\/strong><\/em>\n<\/p>\n

\nSelf-Supervised AutoFlow<\/a>
\n
Hsin-Ping Huang<\/strong>, Charles Herrmann<\/strong>, Junhwa Hur<\/strong>, Erika Lu<\/strong>, Kyle Sargent<\/strong>, Austin Stone<\/strong>, Ming-Hsuan Yang<\/strong>, Deqing Sun<\/strong><\/em>\n<\/p>\n

\nTrain-Once-for-All Personalization<\/a>
\n
Hong-You Chen*, Yandong Li<\/strong>, Yin Cui<\/strong>, Mingda Zhang<\/strong>, Wei-Lun Chao, Li Zhang<\/strong><\/em>\n<\/p>\n

\nVid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning<\/a> (see blog post<\/a>)
\n
Antoine Yang*, Arsha Nagrani<\/strong>, Paul Hongsuck Seo<\/strong>, Antoine Miech, Jordi Pont-Tuset<\/strong>, Ivan Laptev, Josef Sivic, Cordelia Schmid<\/strong><\/em>\n<\/p>\n

\nVILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining<\/a>
\n
Junjie Ke<\/strong>, Keren Ye<\/strong>, Jiahui Yu<\/strong>, Yonghui Wu<\/strong>, Peyman Milanfar<\/strong>, Feng Yang<\/strong><\/em>\n<\/p>\n

\nYou Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model<\/a>
\n
Shengkun Tang, Yaqing Wang<\/strong>, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang<\/strong>, Dongkuan Xu<\/em>\n<\/p>\n

\nAccidental Light Probes<\/a>
\n
Hong-Xing Yu, Samir Agarwala, Charles Herrmann<\/strong>, Richard Szeliski<\/strong>, Noah Snavely, <\/strong>Jiajun Wu, Deqing Sun<\/strong><\/em>\n<\/p>\n

\nFedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning<\/a>
\n
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu<\/strong>, Cho-Jui Hsieh<\/em>\n<\/p>\n

\nFlexiViT: One Model for All Patch Sizes<\/a>
\n
Lucas Beyer<\/strong>, Pavel Izmailov<\/strong>, Alexander Kolesnikov<\/strong>, Mathilde Caron<\/strong>, Simon Kornblith<\/strong>, Xiaohua Zhai<\/strong>, Matthias Minderer<\/strong>, Michael Tschannen<\/strong>, Ibrahim Alabdulmohsin<\/strong>, Filip Pavetic<\/strong><\/em>\n<\/p>\n

\nIterative Vision-and-Language Navigation<\/a>
\n
Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason Corso, Peter Anderson<\/strong>, Stefan Lee, Jesse Thomason<\/em>\n<\/p>\n

\nMoDi: Unconditional Motion Synthesis from Diverse Data<\/a>
\n
Sigal Raab, Inbal Leibovitch, Peizhuo Li, Kfir Aberman<\/strong>, Olga Sorkine-Hornung, Daniel Cohen-Or<\/em>\n<\/p>\n

\nMultimodal Prompting with Missing Modalities for Visual Recognition<\/a>
\n
Yi-Lun Lee, Yi-Hsuan Tsai<\/strong>, Wei-Chen Chiu, Chen-Yu Lee<\/strong><\/em>\n<\/p>\n

\nScene-Aware Egocentric 3D Human Pose Estimation<\/a>
\n
Jian Wang, Diogo Luvizon, Weipeng Xu, Lingjie Liu, Kripasindhu Sarkar<\/strong>, Christian Theobalt<\/em>\n<\/p>\n

\nShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency<\/a>
\n
Zixuan Huang, Varun Jampani<\/strong>, Ngoc Anh Thai, Yuanzhen Li<\/strong>, Stefan Stojanov, James M. Rehg<\/em>\n<\/p>\n

\nImproving Image Recognition by Retrieving from Web-Scale Image-Text Data<\/a>
\n
Ahmet Iscen<\/strong>, Alireza Fathi<\/strong>, Cordelia Schmid<\/strong><\/em>\n<\/p>\n

\nJacobiNeRF: NeRF Shaping with Mutual Information Gradients<\/a>
\n
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas Guibas<\/strong><\/em>\n<\/p>\n

\nLearning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos<\/a>
\n
Ziqian Bai*, Feitong Tan<\/strong>, Zeng Huang<\/strong>, Kripasindhu Sarkar<\/strong>, Danhang Tang<\/strong>, Di Qiu<\/strong>, Abhimitra Meka<\/strong>, Ruofei Du<\/strong>, Mingsong Dou<\/strong>, Sergio Orts-Escolano<\/strong>, Rohit Pandey<\/strong>, Ping Tan, Thabo Beeler<\/strong>, Sean Fanello<\/strong>, Yinda Zhang<\/strong><\/em>\n<\/p>\n

\nNeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis<\/a>
\n
Allan Zhou, Mo Jin Kim, Lirui Wang, Pete Florence<\/strong>, Chelsea Finn<\/strong><\/em>\n<\/p>\n

\nPic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval<\/a>
\n
Kuniaki Saito*, Kihyuk Sohn<\/strong>, Xiang Zhang<\/strong>, Chun-Liang Li<\/strong>, Chen-Yu Lee<\/strong>, Kate Saenko<\/strong>, Tomas Pfister<\/strong><\/em>\n<\/p>\n

\nSCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates<\/a>
\n
Mikaela Uy<\/strong>, Ricardo Martin Brualla<\/strong>, Leonidas Guibas<\/strong>, Ke Li<\/strong><\/em>\n<\/p>\n

\nStructured 3D Features for Reconstructing Controllable Avatars<\/a>
\n
Enric Corona<\/strong>, Mihai Zanfir<\/strong>, Thiemo Alldieck<\/strong>, Eduard Gabriel Bazavan<\/strong>, Andrei Zanfir<\/strong>, Cristian Sminchisescu<\/strong><\/em>\n<\/p>\n

\nToken Turing Machines<\/a>
\n
Michael S. Ryoo<\/strong>, Keerthana Gopalakrishnan<\/strong>, Kumara Kahatapitiya<\/strong>, Ted Xiao<\/strong>, Kanishka Rao<\/strong>, Austin Stone<\/strong>, Yao Lu<\/strong>, Julian Ibarz<\/strong>, Anurag Arnab<\/strong><\/em>\n<\/p>\n

\nTruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization<\/a>
\n
Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud<\/strong>, Nicholas Dufour, <\/strong>Luisa Verdoliva<\/em>\n<\/p>\n

\nVideo Probabilistic Diffusion Models in Projected Latent Space<\/a>
\n
Sihyun Yu, Kihyuk Sohn, <\/strong>Subin Kim, Jinwoo Shin<\/em>\n<\/p>\n

\nVisual Prompt Tuning for Generative Transfer Learning<\/a>
\n
Kihyuk Sohn<\/strong>, Yuan Hao<\/strong>, Jose Lezama<\/strong>, Luisa Polania<\/strong>, Huiwen Chang<\/strong>, Han Zhang<\/strong>, Irfan Essa<\/strong>, Lu Jiang<\/strong><\/em>\n<\/p>\n

\nZero-Shot Referring Image Segmentation with Global-Local Context Features<\/a>
\n
Seonghoon Yu, Paul Hongsuck Seo<\/strong>, Jeany Son<\/em>\n<\/p>\n

\nAVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR<\/a> (see blog post<\/a>)
\n
Paul Hongsuck Seo<\/strong>, Arsha Nagrani<\/strong>, Cordelia Schmid<\/strong><\/em>\n<\/p>\n

\nDC2: Dual-Camera Defocus Control by Learning to Refocus<\/a>
\n
Hadi Alzayer<\/strong>, Abdullah Abuolaim<\/strong>, Leung Chun Chan<\/strong>, Yang Yang<\/strong>, Ying Chen Lou<\/strong>, Jia-Bin Huang<\/strong>, Abhishek Kar<\/strong><\/em>\n<\/p>\n

\nEdges to Shapes to Concepts: Adversarial Augmentation for Robust Vision<\/a>
\n
Aditay Tripathi*, Rishubh Singh<\/strong>, Anirban Chakraborty, Pradeep Shenoy<\/strong><\/em>\n<\/p>\n

\nMetaCLUE: Towards Comprehensive Visual Metaphors Research<\/a>
\n
Arjun R. Akula<\/strong>, Brendan Driscoll<\/strong>, Pradyumna Narayana<\/strong>, Soravit Changpinyo<\/strong>, Zhiwei Jia<\/strong>, Suyash Damle<\/strong>, Garima Pruthi<\/strong>, Sugato Basu<\/strong>, Leonidas Guibas<\/strong>, William T. Freeman<\/strong>, Yuanzhen Li<\/strong>, Varun Jampani<\/strong><\/em>\n<\/p>\n

\nMulti-Realism Image Compression with a Conditional Generator<\/a>
\n
Eirikur Agustsson<\/strong>, David Minnen<\/strong>, George Toderici<\/strong>, Fabian Mentzer<\/strong><\/em>\n<\/p>\n

\nNeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors<\/a>
\n
Congyue Deng, Chiyu Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas<\/strong>, Dragomir Anguelov<\/em>\n<\/p>\n

\nOn Calibrating Semantic Segmentation Models: Analyses and an Algorithm<\/a>
\n
Dongdong Wang, Boqing Gong<\/strong>, Liqiang Wang<\/em>\n<\/p>\n

\nPersistent Nature: A Generative Model of Unbounded 3D Worlds<\/a>
\n
Lucy Chai, Richard Tucker<\/strong>, Zhengqi Li<\/strong>, Phillip Isola, Noah Snavely<\/strong><\/em>\n<\/p>\n

\nRethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment<\/a>
\n
Yiyou Sun*, Yaojie Liu<\/strong>, Xiaoming Liu<\/strong>, Yixuan Li, Wen-Sheng Chu<\/strong><\/em>\n<\/p>\n

\nSINE: Semantic-Driven Image-Based NeRF Editing with Prior-Guided Editing Field<\/a>
\n
Chong Bao, Yinda Zhang<\/strong>, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, Zhaopeng Cui<\/em>\n<\/p>\n

\nSequential Training of GANs Against GAN-Classifiers Reveals Correlated “Knowledge Gaps” Present Among Independently Trained GAN Instances<\/a>
\n
Arkanath Pathak<\/strong>, Nicholas Dufour<\/strong><\/em>\n<\/p>\n

\nSparsePose: Sparse-View Camera Pose Regression and Refinement<\/a>
\n
Samarth Sinha, Jason Zhang, Andrea Tagliasacchi<\/strong>, Igor Gilitschenski, David Lindell<\/em>\n<\/p>\n

\nTeacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models<\/a>
\n
Yushi Yao, Chang Ye<\/strong>, Gamaleldin F. Elsayed<\/strong>, Junfeng He<\/strong><\/em>\n<\/p>\n<\/div>\n

\n

\nComputer Vision for Mixed Reality<\/a>
\n
Speakers include: Ira Kemelmacher-Shlizerman<\/em><\/strong>\n<\/p>\n

\nWorkshop on Autonomous Driving (WAD)<\/a>
\n
Speakers include: Chelsea Finn<\/em><\/strong>\n<\/p>\n

\nMultimodal Content Moderation (MMCM)<\/a>
\n
Organizers include: Chris Bregler<\/em><\/strong>
\n
Speakers include: Mevan Babakar<\/em><\/strong>\n<\/p>\n

\nMedical Computer Vision (MCV)<\/a>
\n
Speakers include: Shekoofeh Azizi<\/em><\/strong>\n<\/p>\n

\nVAND: Visual Anomaly and Novelty Detection<\/a>
\n
Speakers include: Yedid Hoshen<\/strong>, Jie Ren<\/strong><\/em>\n<\/p>\n

\nStructural and Compositional Learning on 3D Data<\/a>
\n
Organizers include: Leonidas Guibas<\/em><\/strong>
\n
Speakers include: Andrea Tagliasacchi<\/strong>, Fei Xia<\/strong>, Amir Hertz<\/strong><\/em>\n<\/p>\n

\nFine-Grained Visual Categorization (FGVC10)<\/a>
\n
Organizers include: Kimberly Wilber<\/strong>, Sara Beery<\/strong><\/em>
\n
Panelists include: Hartwig Adam<\/em><\/strong>\n<\/p>\n

\nXRNeRF: Advances in NeRF for the Metaverse<\/a>
\n
Organizers include: Jonathan T. Barron<\/em><\/strong>
\n
Speakers include: Ben Poole<\/em><\/strong>\n<\/p>\n

\nOmniLabel: Infinite Label Spaces for Semantic Understanding via Natural Language<\/a>
\n
Organizers include: Golnaz Ghiasi<\/strong>, Long Zhao<\/strong><\/em>
\n
Speakers include: Vittorio Ferrari<\/em><\/strong>\n<\/p>\n

\nLarge Scale Holistic Video Understanding<\/a>
\n
Organizers include: David Ross<\/em><\/strong>
\n
Speakers include: Cordelia Schmid<\/em><\/strong>\n<\/p>\n

\nNew Frontiers for Zero-Shot Image Captioning Evaluation (NICE)<\/a>
\n
Speakers include: Cordelia Schmid<\/em><\/strong>\n<\/p>\n

\nComputational Cameras and Displays (CCD)<\/a>
\n
Organizers include: Ulugbek Kamilov<\/em><\/strong>
\n
Speakers include: Mauricio Delbracio<\/em><\/strong>\n<\/p>\n

\nGaze Estimation and Prediction in the Wild (GAZE)<\/a>
\n
Organizers include: Thabo Beele<\/em><\/strong>
\n
Speakers include: Erroll Wood<\/em><\/strong>\n<\/p>\n

\nFace and Gesture Analysis for Health Informatics (FGAHI)<\/a>
\n
Speakers include: Daniel McDuff<\/em><\/strong>\n<\/p>\n

\nComputer Vision for Animal Behavior Tracking and Modeling (CV4Animals)<\/a>
\n
Organizers include: Sara Beery<\/em><\/strong>
\n
Speakers include: Arsha Nagrani<\/em><\/strong>\n<\/p>\n

\n3D Vision and Robotics<\/a>
\n
Speakers include: Pete Florence<\/em><\/strong>\n<\/p>\n

\nEnd-to-End Autonomous Driving: Perception, Prediction, Planning and Simulation (E2EAD)<\/a>
\n
Organizers include: Anurag Arnab<\/em><\/strong>\n<\/p>\n

\nEnd-to-End Autonomous Driving: Emerging Tasks and Challenges<\/a>
\n
Speakers include: Sergey Levine<\/em><\/strong>\n<\/p>\n

\nMulti-Modal Learning and Applications (MULA)<\/a>
\n
Speakers include: Aleksander Ho\u0142y\u0144ski<\/em><\/strong>\n<\/p>\n

\nSynthetic Data for Autonomous Systems (SDAS)<\/a>
\n
Speakers include: Lukas Hoyer<\/em><\/strong>\n<\/p>\n

\nVision Datasets Understanding<\/a>
\n
Organizers include: Jos\u00e9 Lezama<\/em><\/strong>
\n
Speakers include: Vijay Janapa Reddi<\/em><\/strong>\n<\/p>\n

\nPrecognition: Seeing Through the Future<\/a>
\n
Organizers include: Utsav Prabhu<\/em><\/strong>\n<\/p>\n

\nNew Trends in Image Restoration and Enhancement (NTIRE)<\/a>
\n
Organizers include: Ming-Hsuan Yang<\/em><\/strong>\n<\/p>\n

\nGenerative Models for Computer Vision<\/a>
\n
Speakers include: Ben Mildenhall<\/strong>, Andrea Tagliasacchi<\/strong><\/em>\n<\/p>\n

\nAdversarial Machine Learning on Computer Vision: Art of Robustness<\/a>
\n
Organizers include: Xinyun Chen<\/em><\/strong>
\n
Speakers include: Deqing Sun<\/em><\/strong>\n<\/p>\n

\nMedia Forensics<\/a>
\n
Speakers include: Nicholas Carlini<\/em><\/strong>\n<\/p>\n

\nTracking and Its Many Guises: Tracking Any Object in Open-World<\/a>
\n
Organizers include: Paul Voigtlaender<\/em><\/strong>\n<\/p>\n

\n3D Scene Understanding for Vision, Graphics, and Robotics<\/a>
\n
Speakers include: Andy Zeng<\/em><\/strong>\n<\/p>\n

\nComputer Vision for Physiological Measurement (CVPM)<\/a>
\n
Organizers include: Daniel McDuff<\/em><\/strong>\n<\/p>\n

\nAffective Behaviour Analysis In-the-Wild<\/a>
\n
Organizers include: Stefanos Zafeiriou<\/em><\/strong>\n<\/p>\n

\nEthical Considerations in Creative Applications of Computer Vision (EC3V)<\/a>
\n
Organizers include: Rida Qadri<\/strong>, Mohammad Havaei<\/strong>, Fernando Diaz<\/strong>, Emily Denton<\/strong>, Sarah Laszlo<\/strong>, Negar Rostamzadeh<\/strong>, Pamela Peter-Agbia<\/strong>, Eva Kozanecka<\/strong><\/em>\n<\/p>\n

\nVizWiz Grand Challenge: Describing Images and Videos Taken by Blind People<\/a>
\n
Speakers include: Haoran Qi<\/em><\/strong>\n<\/p>\n

\nEfficient Deep Learning for Computer Vision<\/a> (see blog post<\/a>)
\n
Organizers include: Andrew Howard<\/strong>, Chas Leichner<\/strong><\/em>
\n
Speakers include: Andrew Howard<\/em><\/strong>\n<\/p>\n

\nVisual Copy Detection<\/a>
\n
Organizers include: Priya Goyal<\/em><\/strong>\n<\/p>\n

\nLearning 3D with Multi-View Supervision (3DMV)<\/a>
\n
Speakers include: Ben Poole<\/em><\/strong>\n<\/p>\n

\nImage Matching: Local Features and Beyond<\/a>
\n
Organizers include: Eduard Trulls<\/em><\/strong>\n<\/p>\n

\nVision for All Seasons: Adverse Weather and Lightning Conditions (V4AS)<\/a>
\n
Organizers include: Lukas Hoyer<\/em><\/strong>\n<\/p>\n

\nTransformers for Vision (T4V)<\/a>
\n
Speakers include: Cordelia Schmid<\/strong>, Huiwen Chang<\/strong><\/em>\n<\/p>\n

\nScholars vs Big Models \u2014 How Can Academics Adapt?<\/a>
\n
Organizers include: Sara Beery<\/em><\/strong>
\n
Speakers include: Jonathan T. Barron<\/strong>, Cordelia Schmid<\/strong><\/em>\n<\/p>\n

\nScanNet Indoor Scene Understanding Challenge<\/a>
\n
Speakers include: Tom Funkhouser<\/em><\/strong>\n<\/p>\n

\nComputer Vision for Microscopy Image Analysis<\/a>
\n
Speakers include: Po-Hsuan Cameron Chen<\/em><\/strong>\n<\/p>\n

\nEmbedded Vision<\/a>
\n
Speakers include: Rahul Sukthankar<\/em><\/strong>\n<\/p>\n

\nSight and Sound<\/a>
\n
Organizers include: Arsha Nagrani<\/strong>, William Freeman<\/strong><\/em>\n<\/p>\n

\nAI for Content Creation<\/a>
\n
Organizers include: Deqing Sun<\/strong>, Huiwen Chang<\/strong>, Lu Jiang<\/strong><\/em>\n<\/p>\n

\nSpeakers include: Ben Mildenhall<\/strong>, Tim Salimans<\/strong>, Yuanzhen Li<\/strong><\/em>\n<\/p>\n

\nComputer Vision in the Wild<\/a>
\n
Organizers include: Xiuye Gu<\/strong>, Neil Houlsby<\/strong><\/em>
\n
Speakers include: Boqing Gong<\/strong>, Anelia Angelova<\/strong><\/em>\n<\/p>\n

\nVisual Pre-Training for Robotics<\/a>
\n
Organizers include: Mathilde Caron<\/em><\/strong>\n<\/p>\n

\nOmnidirectional Computer Vision<\/a>
\n
Organizers include: Yi-Hsuan Tsai<\/em><\/strong>\n<\/p>\n<\/div>\n

[ad_2]
\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

[ad_1] This week marks the beginning of the premier annual Computer Vision and Pattern Recognition conference (CVPR 2023),<\/p>\n","protected":false},"author":2,"featured_media":606,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-605","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-google-ai"],"_links":{"self":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/605","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/comments?post=605"}],"version-history":[{"count":1,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/605\/revisions"}],"predecessor-version":[{"id":2772,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/605\/revisions\/2772"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/media\/606"}],"wp:attachment":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/media?parent=605"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/categories?post=605"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/tags?post=605"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}