Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning

Nov 23, 2020
Zehua Zhang, David Crandall

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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%) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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: 

  Access Paper or Ask Questions

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: 

  Access Paper or Ask Questions

P-CapsNets: a General Form of Convolutional Neural Networks

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

A Self Validation Network for Object-Level Human Attention Estimation

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

* Accepted by NeurIPS 2019 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Unsupervised Domain Adaptation using Generative Models and Self-ensembling

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Generalized Capsule Networks with Trainable Routing Procedure

Aug 27, 2018
Zhenhua Chen, David Crandall

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

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

  Access Paper or Ask Questions