Paper-Conference

Ego4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video …
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. v. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
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Ego4D: Around the World in 3,000 Hours of Egocentric Video
Interact before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition
Unsupervised domain adaptive video action recognition aims to recognize actions of a target domain using a model trained with only …
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Interact before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition
Object Instance Identification in Dynamic Environments
We study the problem of identifying object instances in a dynamic environment where people interact with the objects. In such an …
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Object Instance Identification in Dynamic Environments
Precise Affordance Annotation for Egocentric Action Video Datasets
Object affordance is an important concept in human-object interaction, providing information on action possibilities based on human …
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Precise Affordance Annotation for Egocentric Action Video Datasets
Neural Routing by Memory
Recent Convolutional Neural Networks (CNNs) have achieved significant success by stacking multiple convolutional blocks, named …
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Neural Routing by Memory
Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
Every hand-object interaction begins with contact. Despite predicting the contact state between hands and objects is useful in …
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Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
The human gaze is a cost-efficient physiological data that reveals human underlying attentional patterns. The selective attention …
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Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips
First-person action recognition is a challenging task in video understanding. Because of strong ego-motion and a limited field of view, …
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Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips
Unsupervised Common Particular Object Discovery and Localization by Analyzing a Match Graph
Although the unsupervised discovery and localization of common objects from within a set of images has received considerable attention, …
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Unsupervised Common Particular Object Discovery and Localization by Analyzing a Match Graph
GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
People spend an enormous amount of time and effort looking for lost objects. To help remind people of the location of lost objects, …
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GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery