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ORCIDDavid J. Crandall
David Crandall 0001
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- affiliation: Indiana University, Bloomington, USA
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2020 – today
- 2025
[j32]Diane Kuhn, Nicholas E. Harrison, Paul I. Musey, David J. Crandall, Peter S. Pang, Julie L. Welch, Christopher A. Harle:
Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments. Int. J. Medical Informatics 195: 105748 (2025)- 2024
- [j31]Samuel Goree
, Gabriel Appleby, David Crandall, Norman Makoto Su:
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-25 (2024) - [j30]Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1455-1463 (2024) - [j29]Wencheng Han, Xingping Dong, Yiyuan Zhang, David J. Crandall, Cheng-Zhong Xu, Jianbing Shen:
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7363-7376 (2024) - [c136]Long-Jing Hsu, Philip B. Stafford, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Hiroki Sato, Katherine M. Tsui, David J. Crandall, Selma Sabanovic:
"Give it Time: " Longitudinal Panels Scaffold Older Adults' Learning and Robot Co-Design. HRI 2024: 283-292 - [c135]Long-Jing Hsu, Weslie Khoo, Peter Lenon Goshomi, Philip B. Stafford, Manasi Swaminathan, Katherine M. Tsui, David J. Crandall, Selma Sabanovic:
Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot. HRI (Companion) 2024: 549-553 - [c134]Manasi Swaminathan, Long-Jing Hsu, Min Min Thant, Kyrie Jig Amon, Anna S. Kim, Katherine M. Tsui, Selma Sabanovic, David J. Crandall, Weslie Khoo:
If [YourName] Can Code, So Can You! End-User Robot Programming For Non-Experts. HRI (Companion) 2024: 1033-1037 - [c133]Zachary Wilkerson, David Leake, Vibhas Vats, David Crandall:
Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach. ICCBR 2024: 143-158 - [c132]Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall:
Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm. ICCBR 2024: 354-370 - [c131]Zheng Chen, Deepak Duggirala, David J. Crandall, Lei Jiang, Lantao Liu:
SePaint: Semantic Map Inpainting via Multinomial Diffusion. IROS 2024: 9817-9823 - [c130]Long-Jing Hsu, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Rasika Muralidharan, Hiroki Sato, Min Min Thant, Anna S. Kim, Katherine M. Tsui, David J. Crandall, Selma Sabanovic:
Let's Talk About You: Development and Evaluation of an Autonomous Robot to Support Ikigai Reflection in Older Adults. RO-MAN 2024: 1323-1330 - [c129]Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-Heung Jung:
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo. WACV 2024: 3230-3240 - [i61]Mang Ye, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du:
Transformer for Object Re-Identification: A Survey. CoRR abs/2401.06960 (2024) - [i60]Vibhas K. Vats, David J. Crandall:
Geometric Constraints in Deep Learning Frameworks: A Survey. CoRR abs/2403.12431 (2024) - [i59]Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall:
Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric. CoRR abs/2407.16981 (2024) - 2023
- [j28]Long-Jing Hsu, Waki Kamino, Weslie Khoo, Katherine M. Tsui, David J. Crandall, Selma Sabanovic:
Working Together Toward ikigai: Co-Designing Robots That Can Help Us Achieve Meaning and Purpose in Life. XRDS 30(1): 38-45 (2023) - [j27]Filippo Menczer, David J. Crandall, Yong-Yeol Ahn, Apu Kapadia:
Addressing the harms of AI-generated inauthentic content. Nat. Mac. Intell. 5(7): 679-680 (2023) - [j26]Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella M. Atkins, David J. Crandall:
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 444-459 (2023) - [j25]Antonino Furnari, David J. Crandall, Dima Damen, Kristen Grauman, Giovanni Maria Farinella:
Editorial: Special Section on Egocentric Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6602-6604 (2023) - [j24]Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang:
A Survey on Deep Learning Technique for Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7099-7122 (2023) - [j23]Junbo Yin, Jianbing Shen, Xin Gao, David J. Crandall, Ruigang Yang:
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9822-9835 (2023) - [j22]Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu:
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. 8(4): 2054-2061 (2023) - [j21]Samuel Goree, David Crandall, Norman Makoto Su:
"It Was Really All About Books:" Speech-like Techno-Masculinity in the Rhetoric of Dot-Com Era Web Design Books. ACM Trans. Comput. Hum. Interact. 30(2): 1-27 (2023) - [c128]Samuel Goree, Weslie Khoo, David J. Crandall:
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models. AAAI 2023: 11818-11827 - [c127]Jane Yang, Linda Smith, David Crandall, Chen Yu:
Using manual actions to create visual saliency: an outside-in solution to sustained attention and joint attention. CogSci 2023 - [c126]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CVPR 2023: 10739-10750 - [c125]Weslie Khoo, Long-Jing Hsu, Kyrie Jig Amon, Pranav Vijay Chakilam, Wei-Chu Chen, Zachary Kaufman, Agness Lungu, Hiroki Sato, Erin Seliger, Manasi Swaminathan, Katherine M. Tsui, David J. Crandall, Selma Sabanovic:
Spill the Tea: When Robot Conversation Agents Support Well-being for Older Adults. HRI (Companion) 2023: 178-182 - [c124]David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall:
Examining the Impact of Network Architecture on Extracted Feature Quality for CBR. ICCBR 2023: 3-18 - [c123]Imran Kabir, Shubham Shaurya, Vijayalaxmi Maigur, Nikhil Thakurdesai, Mahesh Latnekar, Mayank Raunak, David J. Crandall, Md. Alimoor Reza:
Few-Shot Segmentation and Semantic Segmentation for Underwater Imagery. IROS 2023: 11451-11457 - [c122]Long-Jing Hsu, Weslie Khoo, Natasha Randall, Waki Kamino, Swapna Joshi, Hiroki Sato, David J. Crandall, Katherine M. Tsui, Selma Sabanovic:
Finding its Voice: The Influence of Robot Voice on Fit, Social Attributes, and Willingness to Use Among Older Adults in the U.S. and Japan. RO-MAN 2023: 2072-2079 - [p2]David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall:
Enhancing Case-Based Reasoning with Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 387-409 - [i58]Xizi Wang, Feng Cheng, Gedas Bertasius, David Crandall:
LoCoNet: Long-Short Context Network for Active Speaker Detection. CoRR abs/2301.08237 (2023) - [i57]Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu:
SePaint: Semantic Map Inpainting via Multinomial Diffusion. CoRR abs/2303.02737 (2023) - [i56]Zhenhua Chen, David Crandall:
A Tensor-based Convolutional Neural Network for Small Dataset Classification. CoRR abs/2303.17061 (2023) - [i55]Samuel Goree, David Crandall:
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision. CoRR abs/2307.00064 (2023) - [i54]Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-Heung Jung:
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo. CoRR abs/2310.19583 (2023) - 2022
- [j20]Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo:
Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2228-2242 (2022) - [j19]Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool:
Segmenting Objects From Relational Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7885-7897 (2022) - [j18]Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall:
Stepwise Goal-Driven Networks for Trajectory Prediction. IEEE Robotics Autom. Lett. 7(2): 2716-2723 (2022) - [c121]Yayun Zhang, Ellis Cain, David Crandall, Chen Yu:
Grounding Action Verbs in Egocentric Visual Perception. CogSci 2022 - [c120]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 González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, 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 Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c119]Zehua Zhang, David Crandall, Michael J. Proulx, Sachin S. Talathi, Abhishek Sharma:
Can Gaze Inform Egocentric Action Recognition? ETRA 2022: 33:1-33:7 - [c118]David Leake, Zachary Wilkerson, David Crandall:
Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. ICCBR 2022: 81-95 - [c117]Xiaomeng Ye, David Leake, David Crandall:
Case Adaptation with Neural Networks: Capabilities and Limitations. ICCBR 2022: 143-158 - [c116]Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall:
Generating Counterfactual Images: Towards a C2C-VAE Approach. ICCBR Workshops 2022: 189-194 - [c115]Zachary Wilkerson, David Leake, David Crandall:
Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset. ICCBR Workshops 2022: 236-240 - [c114]Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall:
Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. ICCC 2022: 314-323 - [c113]Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu:
Action Recognition based on Cross-Situational Action-object Statistics. ICDL 2022: 355-361 - [c112]Zehua Zhang, David Crandall:
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. WACV 2022: 975-985 - [c111]Zhenhua Chen, Chuhua Wang, David Crandall:
Semantically Stealthy Adversarial Attacks against Segmentation Models. WACV 2022: 2846-2855 - [i53]Satoshi Tsutsui, Yanwei Fu, David Crandall:
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition. CoRR abs/2204.10689 (2022) - [i52]Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang:
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds. CoRR abs/2207.12659 (2022) - [i51]Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu:
Action Recognition based on Cross-Situational Action-object Statistics. CoRR abs/2208.07344 (2022) - [i50]Samuel Goree, Gabriel Appleby, David J. Crandall, Norman Makoto Su:
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper. CoRR abs/2209.11200 (2022) - [i49]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CoRR abs/2212.05051 (2022) - 2021
- [c110]David Leake, Xiaomeng Ye, David J. Crandall:
Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c109]Samuel Goree, Bardia Doosti, David J. Crandall, Norman Makoto Su:
Investigating the Homogenization of Web Design: A Mixed-Methods Approach. CHI 2021: 575:1-575:14 - [c108]Andrei Amatuni, Sara E. Schroer, Yayun Zhang, Ryan E. Peters, Md. Alimoor Reza, David Crandall, Chen Yu:
In-the-Moment Visual Information from the Infant's Egocentric View Determines the Success of Infant Word Learning: A Computational Study. CogSci 2021 - [c107]Ryan E. Peters, Andrei Amatuni, Sara E. Schroer, Shujon Naha, David Crandall, Chen Yu:
Modeling joint attention from egocentric vision. CogSci 2021 - [c106]Yayun Zhang, Andrei Amatuni, Ellis Cain, Xizi Wang, David Crandall, Chen Yu:
Human Learners Integrate Visual and Linguistic Information Cross-Situational Verb Learning. CogSci 2021 - [c105]Norman Makoto Su, David J. Crandall:
The Affective Growth of Computer Vision. CVPR 2021: 9291-9300 - [c104]Zachary Wilkerson, David Leake, David J. Crandall:
On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval. ICCBR 2021: 248-262 - [c103]Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall:
Learning Adaptations for Case-Based Classification: A Neural Network Approach. ICCBR 2021: 279-293 - [c102]Yuchen Wang, Mingze Xu, John D. Paden, Lora S. Koenig, Geoffrey C. Fox, David J. Crandall:
Deep Tiered Image Segmentation for Detecting Internal ICE Layers in Radar Imagery. ICME 2021: 1-6 - [c101]Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md. Alimoor Reza, David J. Crandall, Soon-Heung Jung:
Error Diagnosis of Deep Monocular Depth Estimation Models. IROS 2021: 5344-5649 - [c100]Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall:
Part Segmentation of Unseen Objects using Keypoint Guidance. WACV 2021: 1741-1749 - [c99]Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Whose hand is this? Person Identification from Egocentric Hand Gestures. WACV 2021: 3398-3407 - [i48]Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall:
Stepwise Goal-Driven Networks for Trajectory Prediction. CoRR abs/2103.14107 (2021) - [i47]Zhenhua Chen, Chuhua Wang, David J. Crandall:
Adversarial Attack in the Context of Self-driving. CoRR abs/2104.01732 (2021) - [i46]Zhenhua Chen, Xiwen Li, Qian Lou, David J. Crandall:
How to Accelerate Capsule Convolutions in Capsule Networks. CoRR abs/2104.02621 (2021) - [i45]Satoshi Tsutsui, David J. Crandall, Chen Yu:
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers. CoRR abs/2106.06694 (2021) - [i44]Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. CoRR abs/2107.01153 (2021) - [i43]Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall:
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. CoRR abs/2107.07095 (2021) - [i42]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 González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, 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 Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i41]Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu:
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. CoRR abs/2111.00063 (2021) - [i40]Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md. Alimoor Reza, David J. Crandall, Soon-Heung Jung:
Error Diagnosis of Deep Monocular Depth Estimation Models. CoRR abs/2112.05533 (2021) - [i39]Vibhas Vats, David Crandall:
Controlling the Quality of Distillation in Response-Based Network Compression. CoRR abs/2112.10047 (2021) - 2020
- [j17]Md. Alimoor Reza, Kai Chen, Akshay U. Naik, David J. Crandall, Soon-Heung Jung:
Automatic Dense Annotation for Monocular 3D Scene Understanding. IEEE Access 8: 68852-68865 (2020) - [j16]Md. Alimoor Reza, Zhenhua Chen, David J. Crandall:
Deep Neural Network-Based Detection and Verification of Microelectronic Images. J. Hardw. Syst. Secur. 4(1): 44-54 (2020) - [j15]Roberto Hoyle, Luke Stark, Qatrunnada Ismail, David J. Crandall, Apu Kapadia, Denise L. Anthony:
Privacy Norms and Preferences for Photos Posted Online. ACM Trans. Comput. Hum. Interact. 27(4): 30:1-30:27 (2020) - [c98]Md. Alimoor Reza, David J. Crandall:
IC-ChipNet: Deep Embedding Learning for Fine-grained Retrieval, Recognition, and Verification of Microelectronic Images. AIPR 2020: 1-10 - [c97]Shujon Naha, Md. Alimoor Reza, Chen Yu, David J. Crandall:
Localizing Novel Attended Objects in Egocentric Views. BMVC 2020 - [c96]Satoshi Tsutsui, Arjun Chandrasekaran, Md. Alimoor Reza, David J. Crandall, Chen Yu:
A Computational Model of Early Word Learning from the Infant's Point of View. CogSci 2020 - [c95]Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall:
Pose-Guided Knowledge Transfer for Object Part Segmentation. CVPR Workshops 2020: 3961-3955 - [c94]Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall:
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation. CVPR 2020: 6607-6616 - [c93]Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation From Unlabeled Videos. CVPR 2020: 8957-8967 - [c92]Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo:
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification. ECCV (17) 2020: 229-247 - [c91]Ishtiak Zaman, David J. Crandall:
Genetic-GAN: Synthesizing Images Between Two Domains by Genetic Crossover. ECCV Workshops (3) 2020: 312-326 - [c90]David Leake, David J. Crandall:
On Bringing Case-Based Reasoning Methodology to Deep Learning. ICCBR 2020: 343-348 - [c89]Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall:
Interaction Graphs for Object Importance Estimation in On-road Driving Videos. ICRA 2020: 8920-8927 - [c88]Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari:
Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS 2020: 2960-2963 - [c87]Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia:
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. SP 2020: 318-335 - [i38]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR abs/2001.06807 (2020) - [i37]Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation from Unlabeled Videos. CoRR abs/2003.05020 (2020) - [i36]Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall:
Interaction Graphs for Object Importance Estimation in On-road Driving Videos. CoRR abs/2003.06045 (2020) - [i35]Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall:
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation. CoRR abs/2004.00060 (2020) - [i34]Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella M. Atkins, David J. Crandall:
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos. CoRR abs/2004.03044 (2020) - [i33]Satoshi Tsutsui, Arjun Chandrasekaran, Md. Alimoor Reza, David J. Crandall, Chen Yu:
A Computational Model of Early Word Learning from the Infant's Point of View. CoRR abs/2006.02802 (2020) - [i32]Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo:
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification. CoRR abs/2007.09314 (2020) - [i31]Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey C. Fox, David J. Crandall:
Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery. CoRR abs/2010.03712 (2020) - [i30]Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Whose hand is this? Person Identification from Egocentric Hand Gestures. CoRR abs/2011.08900 (2020) - [i29]Zehua Zhang, David Crandall:
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. CoRR abs/2011.11261 (2020)
2010 – 2019
- 2019
- [j14]Victor Berger, Mingze Xu, Mohanad Al-Ibadi, Shane Chu, David J. Crandall, John Paden, Geoffrey Charles Fox:
Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3272-3285 (2019) - [c86]Rakibul Hasan, Yifang Li, Eman T. Hassan, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia:
Can Privacy Be Satisfying?: On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms. CHI 2019: 367 - [c85]Hadar Karmazyn Raz, Drew H. Abney, David J. Crandall, Chen Yu, Linda B. Smith:
How do infants start learning object names in a sea of clutter? CogSci 2019: 521-526 - [c84]Ziyu Xiang, Linda B. Smith, David J. Crandall:
Semantic structure of infant first-person scenes changes with development. CogSci 2019: 3607 - [c83]Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra:
Embodied Amodal Recognition: Learning to Move to Perceive Objects. ICCV 2019: 2040-2050 - [c82]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. ICCV 2019: 5531-5540 - [c81]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. ICCV 2019: 9235-9244 - [c80]Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush:
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. ICRA 2019: 9711-9717 - [c79]Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins:
Unsupervised Traffic Accident Detection in First-Person Videos. IROS 2019: 273-280 - [c78]Md. Alimoor Reza, Akshay U. Naik, Kai Chen, David J. Crandall:
Automatic Annotation for Semantic Segmentation in Indoor Scenes. IROS 2019: 4970-4976 - [c77]Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. NeurIPS 2019: 3057-3066 - [c76]Zehua Zhang, Chen Yu, David J. Crandall:
A Self Validation Network for Object-Level Human Attention Estimation. NeurIPS 2019: 14702-14713 - [c75]Suzanne Menzel, Katie A. Siek, David J. Crandall:
Hello Research! Developing an Intensive Research Experience for Undergraduate Women. SIGCSE 2019: 997-1003 - [c74]Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David J. Crandall, Christopher Raphael:
Observing Pianist Accuracy and Form with Computer Vision. WACV 2019: 1505-1513 - [c73]Aniruddha M. Godbole, David J. Crandall:
Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints. WebSci 2019: 117-124 - [i28]Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins:
Unsupervised Traffic Accident Detection in First-Person Videos. CoRR abs/1903.00618 (2019) - [i27]Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra:
Embodied Visual Recognition. CoRR abs/1904.04404 (2019) - [i26]Tousif Ahmed, Rakibul Hasan, Kay Connelly, David J. Crandall, Apu Kapadia:
Conveying Situational Information to People with Visual Impairments. CoRR abs/1904.06117 (2019) - [i25]Satoshi Tsutsui, Dian Zhi, Md. Alimoor Reza, David J. Crandall, Chen Yu:
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. CoRR abs/1906.01415 (2019) - [i24]Zehua Zhang, Chen Yu, David J. Crandall:
A Self Validation Network for Object-Level Human Attention Estimation. CoRR abs/1910.14260 (2019) - [i23]Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. CoRR abs/1911.07164 (2019) - [i22]Zhenhua Chen, Xiwen Li, Chuhua Wang, David J. Crandall:
P-CapsNets: a General Form of Convolutional Neural Networks. CoRR abs/1912.08367 (2019) - 2018
- [j13]Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma, Amit P. Sheth, Chenhao Tan, Samuel Hardman Taylor, Sanjaya Wijeratne:
Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media. AI Mag. 39(4): 36-44 (2018) - [j12]Chenyou Fan, Zehua Zhang, David J. Crandall:
Deepdiary: Lifelogging image captioning and summarization. J. Vis. Commun. Image Represent. 55: 40-55 (2018) - [j11]Mariella Dimiccoli, Cathal Gurrin, David J. Crandall, Xavier Giró-i-Nieto, Petia Radeva:
Introduction to the special issue: Egocentric Vision and Lifelogging. J. Vis. Commun. Image Represent. 55: 352-353 (2018) - [c72]Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra:
Diverse Beam Search for Improved Description of Complex Scenes. AAAI 2018: 7371-7379 - [c71]Zehua Zhang, David J. Crandall, Chen Yu, Sven Bambach:
From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video. BMVC 2018: 295 - [c70]Rakibul Hasan, Eman T. Hassan, Yifang Li, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia:
Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy. CHI 2018: 47 - [c69]Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall:
Minimizing Supervision for Free-Space Segmentation. CVPR Workshops 2018: 988-997 - [c68]Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall:
Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. ECCV (1) 2018: 656-672 - [c67]Jangwon Lee, Haodan Tan, David J. Crandall, Selma Sabanovic:
Forecasting Hand Gestures for Human-Drone Interaction. HRI (Companion) 2018: 167-168 - [c66]Satoshi Tsutsui, Sven Bambach, David J. Crandall, Chen Yu:
Estimating Head Motion from Egocentric Vision. ICMI 2018: 342-346 - [c65]Victor Berger, Mingze Xu, Shane Chu, David J. Crandall, John Paden, Geoffrey C. Fox:
Automated Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S. IGARSS 2018: 4162-4165 - [c64]Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu:
Toddler-Inspired Visual Object Learning. NeurIPS 2018: 1209-1218 - [c63]Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall:
Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction. WACV 2018: 1273-1282 - [c62]Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall:
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. WACV 2018: 1607-1615 - [i21]Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall:
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. CoRR abs/1801.03983 (2018) - [i20]Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall:
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction. CoRR abs/1801.03986 (2018) - [i19]Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall:
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos. CoRR abs/1803.11217 (2018) - [i18]Zhenhua Chen, David J. Crandall:
Generalized Capsule Networks with Trainable Routing Procedure. CoRR abs/1808.08692 (2018) - [i17]Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush:
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. CoRR abs/1809.07408 (2018) - [i16]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. CoRR abs/1811.07391 (2018) - [i15]Eman T. Hassan, Xin Chen, David J. Crandall:
Unsupervised Domain Adaptation using Generative Models and Self-ensembling. CoRR abs/1812.00479 (2018) - 2017
- [j10]Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David J. Crandall, Apu Kapadia:
Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments. IEEE Internet Comput. 21(3): 56-63 (2017) - [j9]Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner:
An efficient system to fund science: from proposal review to peer-to-peer distributions. Scientometrics 110(1): 521-528 (2017) - [c61]Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David J. Crandall, Robert Templeman:
Addressing supply chain risks of microelectronic devices through computer vision. AIPR 2017: 1-8 - [c60]Wen Chen, David J. Crandall, Norman Makoto Su:
Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods. CHI 2017: 5976-5987 - [c59]Eman T. Hassan, Rakibul Hasan, Patrick Shaffer, David J. Crandall, Apu Kapadia:
Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos. CVPR Workshops 2017: 1333-1342 - [c58]Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo:
Identifying First-Person Camera Wearers in Third-Person Videos. CVPR 2017: 4734-4742 - [c57]Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs:
A Unified Model for Near and Remote Sensing. ICCV 2017: 2707-2716 - [c56]Chen Yu, Sven Bambach, Zehua Zhang, David J. Crandall:
Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models. ICCV Workshops 2017: 2773-2782 - [c55]Satoshi Tsutsui, David J. Crandall:
A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks. ICDAR 2017: 533-540 - [c54]Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu:
An egocentric perspective on active vision and visual object learning in toddlers. ICDL-EPIROB 2017: 290-295 - [c53]Mingze Xu, David J. Crandall, Geoffrey C. Fox, John D. Paden:
Automatic estimation of ice bottom surfaces from radar imagery. ICIP 2017: 340-344 - [c52]Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Theresa Stumpf, John Paden, Carl Leuschen, Fernando Rodriguez-Morales, Mingze Xu, David J. Crandall, Geoffrey C. Fox, David Burgess, Martin Sharp, Luke Copland, Wesley Van Wychen:
DEM extraction of the basal topography of the Canadian archipelago ICE caps via 2D automated layer-tracker. IGARSS 2017: 965-968 - [c51]Jangwon Lee, Jingya Wang, David J. Crandall, Selma Sabanovic, Geoffrey C. Fox:
Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles. IRC 2017: 36-43 - [c50]Bardia Doosti, David J. Crandall, Norman Makoto Su:
A Deep Study into the History of Web Design. WebSci 2017: 329-338 - [i14]Satoshi Tsutsui, David J. Crandall:
A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks. CoRR abs/1703.05105 (2017) - [i13]Kai Zhen, Mridul Birla, David J. Crandall, Bingjing Zhang, Judy Qiu:
Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA. CoRR abs/1703.05243 (2017) - [i12]Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo:
Identifying First-person Camera Wearers in Third-person Videos. CoRR abs/1704.06340 (2017) - [i11]Satoshi Tsutsui, David J. Crandall:
Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation. CoRR abs/1706.06275 (2017) - [i10]Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs:
A Unified Model for Near and Remote Sensing. CoRR abs/1708.03035 (2017) - [i9]Eman T. Hassan, David J. Crandall:
A Study of Cross-domain Generative Models applied to Cartoon Series. CoRR abs/1710.00755 (2017) - [i8]Mingze Xu, David J. Crandall, Geoffrey C. Fox, John Paden:
Automatic Estimation of Ice Bottom Surfaces from Radar Imagery. CoRR abs/1712.07758 (2017) - 2016
- [j8]Jisun An, David J. Crandall, Roman Fedorov, Casey Fiesler, Fabio Giglietto, Bahareh R. Heravi, Jessica Pater, Konstantinos Pelechrinis, Daniele Quercia, Katrin Weller, Arkaitz Zubiaga:
Reports of the Workshops Held at the 2016 International AAAI Conference on Web and Social Media. AI Mag. 37(4): 89-93 (2016) - [j7]Mohammed Korayem, Khalifeh AlJadda, David J. Crandall:
Sentiment/subjectivity analysis survey for languages other than English. Soc. Netw. Anal. Min. 6(1): 75:1-75:17 (2016) - [c49]Mohammed Korayem, Robert Templeman, Dennis Chen, David J. Crandall, Apu Kapadia:
Enhancing Lifelogging Privacy by Detecting Screens. CHI 2016: 4309-4314 - [c48]Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu:
Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach. CogSci 2016 - [c47]Chenyou Fan, David J. Crandall:
DeepDiary: Automatically Captioning Lifelogging Image Streams. ECCV Workshops (1) 2016: 459-473 - [c46]Sven Bambach, Linda B. Smith, David J. Crandall, Chen Yu:
Objects in the center: How the infant's body constrains infant scenes. ICDL-EPIROB 2016: 132-137 - [c45]Supun Kamburugamuve, Hengjing He, Geoffrey C. Fox, David J. Crandall:
Cloud-based Parallel Implementation of SLAM for Mobile Robots. ICC 2016 2016: 48:1-48:7 - [c44]Jingya Wang, Mohammed Korayem, Saúl A. Blanco, David J. Crandall:
Tracking Natural Events through Social Media and Computer Vision. ACM Multimedia 2016: 1097-1101 - [c43]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra:
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS 2016: 2119-2127 - [c42]Tousif Ahmed, Patrick Shaffer, Kay Connelly, David J. Crandall, Apu Kapadia:
Addressing Physical Safety, Security, and Privacy for People with Visual Impairments. SOUPS 2016: 341-354 - [p1]David J. Crandall, Yunpeng Li, Stefan Lee, Daniel P. Huttenlocher:
Recognizing Landmarks in Large-Scale Social Image Collections. Large-Scale Visual Geo-Localization 2016: 121-144 - [e1]David J. Crandall, Roman Fedorov:
Social Web for Environmental and Ecological Monitoring, Papers from the 2016 ICWSM Workshop, Cologne, Germany, May 17, 2016. AAAI Technical Report WS-16-20, AAAI Press 2016 [contents] - [i7]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra:
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR abs/1606.07839 (2016) - [i6]Chenyou Fan, David J. Crandall:
DeepDiary: Automatic Caption Generation for Lifelogging Image Streams. CoRR abs/1608.03819 (2016) - [i5]Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra:
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. CoRR abs/1610.02424 (2016) - 2015
- [j6]Kun Duan, Dhruv Batra, David J. Crandall:
Human pose estimation via multi-layer composite models. Signal Process. 110: 15-26 (2015) - [c41]Roberto Hoyle, Robert Templeman, Denise L. Anthony, David J. Crandall, Apu Kapadia:
Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras. CHI 2015: 1645-1648 - [c40]Tousif Ahmed, Roberto Hoyle, Kay Connelly, David J. Crandall, Apu Kapadia:
Privacy Concerns and Behaviors of People with Visual Impairments. CHI 2015: 3523-3532 - [c39]Stefan Lee, Nicolas Maisonneuve, David J. Crandall, Alexei A. Efros, Josef Sivic:
Linking Past to Present: Discovering Style in Two Centuries of Architecture. ICCP 2015: 1-10 - [c38]Sven Bambach, Stefan Lee, David J. Crandall, Chen Yu:
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. ICCV 2015: 1949-1957 - [c37]Sven Bambach, David J. Crandall, Chen Yu:
Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View. ICMI 2015: 351-354 - [c36]Stefan Lee, Haipeng Zhang, David J. Crandall:
Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks. WACV 2015: 550-557 - [i4]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra:
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR abs/1511.06314 (2015) - 2014
- [c35]Sven Bambach, John M. Franchak, David J. Crandall, Chen Yu:
Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction. CogSci 2014 - [c34]Stefan Lee, Sven Bambach, David J. Crandall, John M. Franchak, Chen Yu:
This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video. CVPR Workshops 2014: 557-564 - [c33]Kun Duan, David J. Crandall, Dhruv Batra:
Multimodal Learning in Loosely-Organized Web Images. CVPR 2014: 2465-2472 - [c32]Roberto Hoyle, Robert Templeman, Steven Armes, Denise L. Anthony, David J. Crandall, Apu Kapadia:
Privacy behaviors of lifeloggers using wearable cameras. UbiComp 2014: 571-582 - [c31]Robert Templeman, Apu Kapadia, Roberto Hoyle, David J. Crandall:
Reactive security: responding to visual stimuli from wearable cameras. UbiComp Adjunct 2014: 1297-1306 - [c30]Stefan Lee, Jerome E. Mitchell, David J. Crandall, Geoffrey C. Fox:
Estimating bedrock and surface layer boundaries and confidence intervals in ice sheet radar imagery using MCMC. ICIP 2014: 111-115 - [c29]Robert Templeman, Mohammed Korayem, David J. Crandall, Apu Kapadia:
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. NDSS 2014 - [c28]Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David J. Crandall:
mFingerprint: Privacy-Preserving User Modeling with Multimodal Mobile Device Footprints. SBP 2014: 195-203 - [c27]Kun Duan, Luca Marchesotti, David J. Crandall:
Attribute-based vehicle recognition using viewpoint-aware multiple instance SVMs. WACV 2014: 333-338 - [i3]Mohammed Korayem, Robert Templeman, Dennis Chen, David J. Crandall, Apu Kapadia:
ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras. CoRR abs/1412.0008 (2014) - 2013
- [j5]David J. Crandall, Andrew Owens, Noah Snavely, Daniel P. Huttenlocher:
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2841-2853 (2013) - [c26]Jingya Wang, Mohammed Korayem, David J. Crandall:
Observing the Natural World with Flickr. ICCV Workshops 2013: 452-459 - [c25]Sven Bambach, David J. Crandall, Chen Yu:
Understanding embodied visual attention in child-parent interaction. ICDL-EPIROB 2013: 1-6 - [c24]Mohammed Korayem, David J. Crandall:
De-Anonymizing Users Across Heterogeneous Social Computing Platforms. ICWSM 2013 - [c23]Jerome E. Mitchell, David J. Crandall, Geoffrey C. Fox, John Paden:
A semi-automatic approach for estimating near surface internal layers from snow radar imagery. IGARSS 2013: 4110-4113 - [c22]Robert Templeman, Zahid Rahman, David J. Crandall, Apu Kapadia:
PlaceRaider: Virtual Theft in Physical Spaces with Smartphones. NDSS 2013 - [i2]Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner:
Collective allocation of science funding: from funding agencies to scientific agency. CoRR abs/1304.1067 (2013) - 2012
- [j4]David J. Crandall, Noah Snavely:
Modeling people and places with internet photo collections. Commun. ACM 55(6): 52-60 (2012) - [c21]Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy:
Solving Avatar Captchas Automatically. AMLTA 2012: 102-110 - [c20]Mohammed Korayem, David J. Crandall, Muhammad Abdul-Mageed:
Subjectivity and Sentiment Analysis of Arabic: A Survey. AMLTA 2012: 128-139 - [c19]Kun Duan, Dhruv Batra, David J. Crandall:
A Multi-layer Composite Model for Human Pose Estimation. BMVC 2012: 1-11 - [c18]Kun Duan, Devi Parikh, David J. Crandall, Kristen Grauman:
Discovering localized attributes for fine-grained recognition. CVPR 2012: 3474-3481 - [c17]Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy:
Learning Visual Features for the Avatar Captcha Recognition Challenge. ICMLA (2) 2012: 584-587 - [c16]David J. Crandall, Geoffrey Charles Fox, John Paden:
Layer-finding in radar echograms using probabilistic graphical models. ICPR 2012: 1530-1533 - [c15]Haipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall:
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities. WSDM 2012: 33-42 - [c14]Haipeng Zhang, Mohammed Korayem, David J. Crandall, Gretchen LeBuhn:
Mining photo-sharing websites to study ecological phenomena. WWW 2012: 749-758 - [i1]Robert Templeman, Zahid Rahman, David J. Crandall, Apu Kapadia:
PlaceRaider: Virtual Theft in Physical Spaces with Smartphones. CoRR abs/1209.5982 (2012) - 2011
- [c13]David J. Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher:
Discrete-continuous optimization for large-scale structure from motion. CVPR 2011: 3001-3008 - 2010
- [j3]David J. Crandall, Lars Backstrom, Dan Cosley, Siddharth Suri, Daniel P. Huttenlocher, Jon M. Kleinberg:
Inferring social ties from geographic coincidences. Proc. Natl. Acad. Sci. USA 107(52): 22436-22441 (2010)
2000 – 2009
- 2009
- [c12]Yunpeng Li, David J. Crandall, Daniel P. Huttenlocher:
Landmark classification in large-scale image collections. ICCV 2009: 1957-1964 - [c11]David J. Crandall, Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kleinberg:
Mapping the world's photos. WWW 2009: 761-770 - 2008
- [b1]David J. Crandall:
Part-based Statistical Models for Visual Object Class Recognition. Cornell University, USA, 2008 - [c10]David J. Crandall, Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinberg, Siddharth Suri:
Feedback effects between similarity and social influence in online communities. KDD 2008: 160-168 - 2007
- [c9]David J. Crandall, Daniel P. Huttenlocher:
Composite Models of Objects and Scenes for Category Recognition. CVPR 2007 - 2006
- [j2]Jiebo Luo, David J. Crandall:
Color object detection using spatial-color joint probability functions. IEEE Trans. Image Process. 15(6): 1443-1453 (2006) - [c8]David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Object Recognition by Combining Appearance and Geometry. Toward Category-Level Object Recognition 2006: 462-482 - [c7]David J. Crandall, Daniel P. Huttenlocher:
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition. ECCV (1) 2006: 16-29 - 2005
- [c6]David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Spatial Priors for Part-Based Recognition Using Statistical Models. CVPR (1) 2005: 10-17 - 2004
- [c5]David J. Crandall, Jiebo Luo:
Robust Color Object Detection Using Spatial-Color Joint Probability Functions. CVPR (1) 2004: 379-385 - 2003
- [j1]David J. Crandall, Sameer K. Antani, Rangachar Kasturi:
Extraction of special effects caption text events from digital video. Int. J. Document Anal. Recognit. 5(2-3): 138-157 (2003) - [c4]Jiebo Luo, David J. Crandall, Amit Singhal, Robert T. Gray:
Psychophysical study of image orientation perception. Human Vision and Electronic Imaging 2003: 364-377 - 2001
- [c3]David J. Crandall, Rangachar Kasturi:
Robust Detection of Stylized Text Events in Digital Video. ICDAR 2001: 865-871 - 2000
- [c2]Sameer K. Antani, David J. Crandall, Rangachar Kasturi:
Robust Extraction of Text in Video. ICPR 2000: 1831-1834
1990 – 1999
- 1999
- [c1]Ullas Gargi, David J. Crandall, Sameer K. Antani, Tarak Gandhi, Ryan Keener, Rangachar Kasturi:
A System for Automatic Text Detection in Video. ICDAR 1999: 29-32
Coauthor Index
Geoffrey C. Fox
aka: Geoffrey Charles Fox
aka: Geoffrey Charles Fox
Daniel P. Huttenlocher
aka: Dan Huttenlocher
aka: Dan Huttenlocher
David B. Leake
aka: David Leake
aka: David Leake
John Paden
aka: John D. Paden
aka: John D. Paden
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