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    Home » Google at ICCV 2023 – Google Research Blog
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    Google at ICCV 2023 – Google Research Blog

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    Google at ICCV 2023 – Google Research Blog
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    Google is proud to be a Platinum Sponsor of the International Conference on Computer Vision (ICCV 2023), a premier annual convention, which is being held this week in Paris, France. As a pacesetter in pc imaginative and prescient analysis, Google has a robust presence at this yr’s convention with 60 accepted papers and energetic involvement in 27 workshops and tutorials. Google can also be proud to be a Platinum Sponsor for the LatinX in CV workshop. We look ahead to sharing a few of our in depth pc imaginative and prescient analysis and increasing our partnership with the broader analysis neighborhood.

    Attending ICCV 2023? We hope you’ll go to the Google sales space to speak with researchers who’re actively pursuing the newest improvements in pc imaginative and prescient, and take a look at a few of the scheduled sales space actions (e.g., demos and Q&A classes listed under). Visit the @GoogleAI Twitter account to seek out out extra in regards to the Google sales space actions at ICCV 2023.

    Take a glance under to be taught extra in regards to the Google analysis being offered at ICCV 2023 (Google affiliations in daring).

    Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor

    Xinyang Liu, Yijin Li, Yanbin Teng, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui

    ITI-GEN: Inclusive Text-to-Image Generation

    Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre

    ASIC: Aligning Sparse in-the-wild Image Collections

    Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar

    VQ3D: Learning a 3D-Aware Generative Model on ImageWeb

    Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun

    Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities

    Hexiang Hu, Yi Luan, Yang Chen*, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang

    Sigmoid Loss for Language Image Pre-training

    Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer

    Tracking Everything Everywhere All at Once

    Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely

    Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

    Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman

    Delta Denoising Score

    Amir Hertz*, Kfir Aberman, Daniel Cohen-Or*

    DreamBooth3D: Subject-Driven Text-to-3D Generation

    Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, Yuanzhen Li, Varun Jampani

    Encyclopedic VQA: Visual Questions about Detailed Properties of Fine-grained Categories

    Thomas Mensink, Jasper Uijlings, Lluis Castrejon, Arushi Goel*, Felipe Cadar*, Howard Zhou, Fei Sha, André Araujo, Vittorio Ferrari

    GECCO: Geometrically-Conditioned Point Diffusion Models

    Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls

    Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition

    Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng

    Neural Microfacet Fields for Inverse Rendering

    Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil

    Rosetta Neurons: Mining the Common Units in a Model Zoo

    Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher

    Teaching CLIP to Count to Ten

    Roni Paiss*, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel

    Vox-E: Text-guided Voxel Editing of 3D Objects

    Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor

    CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

    Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, Andrea Tagliasacchi

    Delving into Motion-Aware Matching for Monocular 3D Object Tracking

    Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai

    Generative Multiplane Neural Radiance for 3D-Aware Image Generation

    Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan

    M2T: Masking Transformers Twice for Faster Decoding

    Fabian Mentzer, Eirikur Agustsson, Michael Tschannen

    MULLER: Multilayer Laplacian Resizer for Vision

    Zhengzhong Tu, Peyman Milanfar, Hossein Talebi

    SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

    Ligong Han*, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang

    Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond

    Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia, Yandong Li, Matthias Grundmann

    Unified Visual Relationship Detection with Vision and Language Models

    Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

    3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields

    Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang

    Global Features are All You Need for Image Retrieval and Reranking

    Shihao Shao, Kaifeng Chen, Arjun Karpur, Qinghua Cui, André Araujo, Bingyi Cao

    Introducing Language Guidance in Prompt-Based Continual Learning

    Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal

    Multiscale Structure Guided Diffusion for Image Deblurring

    Mengwei Ren*, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar

    Robust Monocular Depth Estimation underneath Challenging Conditions

    Stefano Gasperini, Nils Morbitzer, HyunJun Jung, Nassir Navab, Federico Tombari

    Score-Based Diffusion Models as Principled Priors for Inverse Imaging

    Berthy T. Feng*, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

    Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations

    Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mario Lipovsky, Pelin Dogan-Schonberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondrej Chum, André Araujo

    U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds

    Yan Di, Chenyangguang Zhang, Ruida Zhang, Fabian Manhardt, Yongzhi Su, Jason Rambach, Didier Stricker, Xiangyang Ji, Federico Tombari

    AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

    Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

    Learning Versatile 3D Shape Generation with Improved AR Models

    Simian Luo, Xuelin Qian, Yanwei Fu, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue

    Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views

    Wentian Qu, Zhaopeng Cui, Yinda Zhang, Chenyu Meng, Cuixia Ma, Xiaoming Deng, Hongan Wang

    PreSTU: Pre-Training for Scene-Text Understanding

    Jihyung Kil*, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut

    Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects

    Baowen Zhang, Jiahe Li, Xiaoming Deng, Yinda Zhang, Cuixia Ma, Hongan Wang

    Self-regulating Prompts: Foundational Model Adaptation with out Forgetting

    Muhammad Uzair Khattak, Syed Talal Wasi, Muzammal Nasee, Salman Kha, Ming-Hsuan Yan, Fahad Shahbaz Khan

    Spectral Graphormer: Spectral Graph-Based Transformer for Egocentric Two-Hand Reconstruction utilizing Multi-View Color Images

    Tze Ho Elden Tse*, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti

    Synthesizing Diverse Human Motions in 3D Indoor Scenes

    Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu Tang

    Tracking by 3D Model Estimation of Unknown Objects in Videos

    Denys Rozumnyi, Jiri Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald

    UnLoc: A Unified Framework for Video Localization Tasks

    Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang*, Weina Ge, David Ross, Cordelia Schmid

    Verbs in Action: Improving Verb Understanding in Video-language Models

    Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid

    VLSlice: Interactive Vision-and-Language Slice Discovery

    Eric Slyman, Minsuk Kahng, Stefan Lee

    Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization

    Dror Aiger, André Araujo, Simon Lynen

    Audiovisual Masked Autoencoders

    Mariana-Iuliana Georgescu*, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab

    CLR: Channel-wise Lightweight Reprogramming for Continual Learning

    Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti

    LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs

    Zezhou Cheng*, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

    Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering

    Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong

    Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs

    Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa

    Segmenting Known Objects and Unseen Unknowns with out Prior Knowledge

    Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari

    SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

    Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

    SwiftFormer: Efficient Additive Attention for Transformer-Based Real-time Mobile Vision Applications

    Abdelrahman Shaker, Muhammad Maa, Hanoona Rashee, Salman Kha, Ming-Hsuan Yan, Fahad Shahbaz Kha

    Agile Modeling: From Concept to Classifier in Minutes

    Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman

    CAD-Estate: Large-Scale CAD Model Annotation in RGB Videos

    Kevis-Kokitsi Maninis, Stefan Popov, Matthias Niessner, Vittorio Ferrari

    Counting Crowds in Bad Weather

    Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang

    DreamPose: Fashion Video Synthesis with Stable Diffusion

    Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman

    InfiniCity: Infinite-Scale City Synthesis

    Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, Sergey Tulyakov

    SAMPLING: Scene-Adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image

    Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang

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