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Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning

Nov 23, 2020
Zehua Zhang, David Crandall


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Whose hand is this? Person Identification from Egocentric Hand Gestures

Nov 17, 2020
Satoshi Tsutsui, Yanwei Fu, David Crandall

* Accepted to IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 (First round acceptance) 

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Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery

Oct 08, 2020
Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey Fox, David Crandall

* first version 

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A Computational Model of Early Word Learning from the Infant's Point of View

Jun 04, 2020
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, Chen Yu

* Accepted by Annual Conference of the Cognitive Science Society (CogSci) 2020. (Oral Acceptance Rate = 177/811 = 22%) 

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When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Apr 06, 2020
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella Atkins, David Crandall

* 23 pages, 11 figures, 6 tables 

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HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Mar 31, 2020
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 

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Interaction Graphs for Object Importance Estimation in On-road Driving Videos

Mar 12, 2020
Zehua Zhang, Ashish Tawari, Sujitha Martin, David Crandall

* Accepted by ICRA 2020 

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Learning Video Object Segmentation from Unlabeled Videos

Mar 10, 2020
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven C. H. Hoi

* Accepted to CVPR 2020. Code: https://github.com/carrierlxk/MuG 

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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

Jan 19, 2020
Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao

* ICCV2019(Oral) 
* ICCV2019(Oral). Website: https://github.com/carrierlxk/AGNN 

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P-CapsNets: a General Form of Convolutional Neural Networks

Dec 18, 2019
Zhenhua Chen, Xiwen Li, Chuhua Wang, David Crandall


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Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

Nov 17, 2019
Satoshi Tsutsui, Yanwei Fu, David Crandall

* Accepted by Conference on Neural Information Processing System 2019 

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A Self Validation Network for Object-Level Human Attention Estimation

Oct 31, 2019
Zehua Zhang, Chen Yu, David Crandall

* Accepted by NeurIPS 2019 

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Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study

Jun 04, 2019
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu

* Accepted at 2019 CVPR Workshop on Egocentric Perception, Interaction and Computing (EPIC) 

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Embodied Visual Recognition

Apr 09, 2019
Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batra

* 14 pages, 13 figures, technical report 

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Unsupervised Domain Adaptation using Generative Models and Self-ensembling

Dec 02, 2018
Eman T. Hassan, Xin Chen, David Crandall


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Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Oct 22, 2018
Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju, Qing Sun, Stefan Lee, David Crandall, Dhruv Batra

* 16 pages; accepted at AAAI 2018 

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Generalized Capsule Networks with Trainable Routing Procedure

Aug 27, 2018
Zhenhua Chen, David Crandall


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Detecting Small, Densely Distributed Objects with Filter-Amplifier Networks and Loss Boosting

May 07, 2018
Zhenhua Chen, David Crandall, Robert Templeman

* rejected by a conference 

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A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

Aug 21, 2017
Satoshi Tsutsui, David Crandall

* Accepted to The International Conference on Document Analysis and Recognition (ICDAR) 2017 

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Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation

Jun 20, 2017
Satoshi Tsutsui, David Crandall

* This work appears as an Extended Abstract at the 2017 CVPR Language and Vision Workshop 

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A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA

Apr 09, 2017
Kai Zhen, Mridul Birla, David Crandall, Bingjing Zhang, Judy Qiu

* 9 pages, 9 figures 

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Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

Oct 05, 2016
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David Crandall, Dhruv Batra


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Sentiment/Subjectivity Analysis Survey for Languages other than English

Aug 25, 2016
Mohammed Korayem, Khalifeh Aljadda, David Crandall

* This is an accepted version in Social Network Analysis and Mining journal. The final publication will be available at Springer via http://dx.doi.org/10.1007/s13278-016-0381-6 

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Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Nov 19, 2015
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David Crandall, Dhruv Batra


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PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

Sep 26, 2012
Robert Templeman, Zahid Rahman, David Crandall, Apu Kapadia


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