Google is proud to be a Platinum Sponsor of the International Conference on Computer Vision (ICCV 2023), a premier annual conference, which is being held this week in Paris, France. As a leader in computer vision research, Google has a strong presence at this year’s conference with 60 accepted papers and active involvement in 27 workshops and tutorials. Google is also proud to be a Platinum Sponsor for the LatinX in CV workshop. We look forward to sharing some of our extensive computer vision research and expanding our partnership with the broader research community.
Attending ICCV 2023? We hope you’ll visit the Google booth to chat with researchers who are actively pursuing the latest innovations in computer vision, and check out some of the scheduled booth activities (e.g., demos and Q&A sessions listed below). Visit the @GoogleAI Twitter account to find out more about the Google booth activities at ICCV 2023.
Take a look below to learn more about the Google research being presented at ICCV 2023 (Google affiliations in bold).
Board and Organizing Committee
General Chair: Cordelia Schmid
Finance Chair: Ramin Zabih
Industrial Relations Chair: Rahul Sukthankar
Publicity and Social Media Co-Chair: Boqing Gong
Accepted papers
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 ImageNet
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 under 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 without 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 using 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 without 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
Tutorial
Learning with Noisy and Unlabeled Data for Large Models beyond Categorization
Sifei Liu, Hongxu Yin, Shalini De Mello, Pavlo Molchanov, Jose M. Alvarez, Jan Kautz, Xiaolong Wang, Anima Anandkumar, Ming-Hsuan Yang, Trevor Darrell
Speaker: Varun Jampani
Workshops
LatinX in AI
Platinum Sponsor
Panelists: Daniel Castro Chin, Andre Araujo
Invited Speaker: Irfan Essa
Volunteers: Ming-Hsuan Yang, Liangzhe Yuan, Pedro Velez, Vincent Etter
Scene Graphs and Graph Representation Learning
Organizer: Federico Tombari
International Workshop on Analysis and Modeling of Faces and Gestures
Speaker: Todd Zickler
3D Vision and Modeling Challenges in eCommerce
Speaker: Leonidas Guibas
BigMAC: Big Model Adaptation for Computer Vision
Organizer: Mathilde Caron
Adversarial Robustness In the Real World (AROW)
Organizer: Yutong Bai
GeoNet: 1st Workshop on Robust Computer Vision across Geographies
Speaker: Sara Beery
Organizer: Tarun Kalluri
Quo Vadis, Computer Vision?
Speaker: Bill Freeman
To NeRF or not to NeRF: A View Synthesis Challenge for Human Heads
Speaker: Thabo Beeler
Organizer: Stefanos Zafeiriou
New Ideas in Vision Transformers
Speaker: Cordelia Schmid
Organizer: Ming-Hsuan Yang
Representation Learning with Very Limited Images: The Potential of Self, Synthetic and Formula Supervision
Speaker: Manel Baradad Jurjo
Resource Efficient Deep Learning for Computer Vision
Speaker: Prateek Jain
Organizer: Jiahui Yu, Rishabh Tiwari, Jai Gupta
Computer Vision Aided Architectural Design
Speaker: Noah Snavely
AV4D: Visual Learning of Sounds in Spaces
Organizer: David Harwath
Vision-and-Language Algorithmic Reasoning
Speaker: François Chollet
Neural Fields for Autonomous Driving and Robotics
Speaker: Jon Barron
International Challenge on Compositional and Multimodal Perception
Organizer: Ranjay Krishna
Open-Vocabulary 3D Scene Understanding (OpenSUN3D)
Speaker: Thomas Funkhouser
Organizer: Francis Engelmann, Johanna Wald, Federico Tombari, Leonidas Guibas
Frontiers of Monocular 3D Perception: Geometric Foundation Models
Speaker: Leonidas Guibas
PerDream: PERception, Decision Making and REAsoning Through Multimodal Foundational Modeling
Organizer: Daniel McDuff
Recovering 6D Object Pose
Speaker: Fabian Manhardt, Martin Sundermeyer
Organizer: Martin Sundermeyer
Women in Computer Vision (WiCV)
Panelist: Arsha Nagrani
Language for 3D Scenes
Organizer: Leonidas Guibas
AI for 3D Content Creation
Speaker: Kai-Hung Chang
Organizer: Leonidas Guibas
Computer Vision for Metaverse
Speaker: Jon Barron, Thomas Funkhouser
Towards the Next Generation of Computer Vision Datasets
Speaker: Tom Duerig
Google Research booth activities
Title: Instant Tuning: Instant Personalized Image-to-Image Generation
Presenters: Xuhui Jia, Suraj Kothawade
Wednesday, October 4th at 12:30 PM CEST
Title: Open Images V7 (paper, dataset, blog post)
Presenters: Rodrigo Benenson, Jasper Uijlings, Jordi Pont-Tuset
Wednesday, October 4th at 3:30 PM CEST
Title: New Magic Eraser on Pixel 8 Pro
Presenters: Steven Hickson, Pedro Velez, Albert Shaw
Thursday, October 5th at 10:30 AM CEST
Title: Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
Presenters: Marcel Bühler, Kripasindhu Sarkar
Thursday, October 5th at 12:30 PM CEST
Title: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images
Presenters: Yonatan Bitton
Thursday, October 5th at 1:00 PM CEST
Title: Image Search in Fact Check Explorer (blog post)
Presenters: Yair Alon, Avneesh Sud
Thursday, October 5th at 3:30 PM CEST
Title: Prompt-Tuning Latent Diffusion Models for Inverse Problems
Presenters: Hyungjin Chung
Friday, October 6th at 12:30 PM CEST
Title: Neural Implicit Representations for Real World Applications
Presenters: Federico Tombari, Fabian Manhardt, Marie-Julie Rakotosaona
Friday, October 6th at 3:30 PM CEST
* Work done while at Google
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