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VindLU: A Recipe for Effective Video-and-Language Pretraining


Dec 09, 2022
Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius

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* Tech report 

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Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper


Sep 22, 2022
Samuel Goree, Gabriel Appleby, David Crandall, Norman Su

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Action Recognition based on Cross-Situational Action-object Statistics


Aug 15, 2022
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David Crandall, Chen Yu

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* Accepted to International Conference on Development and Learning (ICDL) 2022 

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Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds


Jul 26, 2022
Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang

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Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition


Apr 22, 2022
Satoshi Tsutsui, Yanwei Fu, David Crandall

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* Accepted to PAMI 2022. arXiv admin note: substantial text overlap with arXiv:1911.07164 

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Controlling the Quality of Distillation in Response-Based Network Compression


Dec 19, 2021
Vibhas Vats, David Crandall

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* AAAI22-Workshop: 1st International Workshop on Practical Deep Learning in the Wild 

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Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation


Oct 29, 2021
Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu

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Ego4D: Around the World in 3,000 Hours of Egocentric Video


Oct 13, 2021
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, Christian Fuegen, 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, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, 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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Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features


Jul 15, 2021
Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David Crandall

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* 7 pages, 2 figures, 1 table. To be published in the IJCAI-21 Workshop on Deep Learning, Case-Based Reasoning, and AutoML: Present and Future Synergies 

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A Survey on Deep Learning Technique for Video Segmentation


Jul 02, 2021
Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool

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