David J. Crandall

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 163

Top Venues

CoRR

WACV

CHI

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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) (2024)
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)
Vibhas K. Vats, David J. Crandall
Geometric Constraints in Deep Learning Frameworks: A Survey. CoRR (2024)
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)
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 (2024)
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)
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)
Long-Jing Hsu, Waki Kamino, Weslie Khoo, Katherine M. Tsui, David J. Crandall, Selma Sabanovic
: Co-Designing Robots That Can Help Us Achieve Meaning and Purpose in Life. XRDS 30 (1) (2023)
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)
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) (2023)
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 (2023)
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) (2023)
Filippo Menczer, David J. Crandall, Yong-Yeol Ahn, Apu Kapadia
Addressing the harms of AI-generated inauthentic content. Nat. Mac. Intell. 5 (7) (2023)
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)
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) (2023)
Samuel Goree, Weslie Khoo, David J. Crandall
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models. AAAI (2023)
Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. 8 (4) (2023)
Xizi Wang, Feng Cheng, Gedas Bertasius, David J. Crandall
LoCoNet: Long-Short Context Network for Active Speaker Detection. CoRR (2023)
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)
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) (2023)
Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius
VindLU: A Recipe for Effective Video-and-Language Pretraining. CVPR (2023)
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)
Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Jiebo Luo
Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu
Action Recognition based on Cross-Situational Action-object Statistics. ICDL (2022)
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 (2022)
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu
Action Recognition based on Cross-Situational Action-object Statistics. CoRR (2022)
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. CoRR (2022)
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) (2022)
Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
Generating Counterfactual Images: Towards a C2C-VAE Approach. ICCBR Workshops (2022)
Xiaomeng Ye, David Leake, David J. Crandall
Case Adaptation with Neural Networks: Capabilities and Limitations. ICCBR (2022)
Zehua Zhang, David J. Crandall, Michael Proulx, Sachin S. Talathi, Abhishek Sharma
Can Gaze Inform Egocentric Action Recognition? ETRA (2022)
Satoshi Tsutsui, Yanwei Fu, David J. Crandall
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition. CoRR (2022)
Zhenhua Chen, Chuhua Wang, David J. Crandall
Semantically Stealthy Adversarial Attacks against Segmentation Models. WACV (2022)
Zehua Zhang, David J. Crandall
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. WACV (2022)
Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall
Stepwise Goal-Driven Networks for Trajectory Prediction. IEEE Robotics Autom. Lett. 7 (2) (2022)
Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius
VindLU: A Recipe for Effective Video-and-Language Pretraining. CoRR (2022)
David Leake, Zachary Wilkerson, David J. Crandall
Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. ICCBR (2022)
Zhenhua Chen, Xiwen Li, Qian Lou, David J. Crandall
How to Accelerate Capsule Convolutions in Capsule Networks. CoRR (2021)
Wenguan Wang, Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool
A Survey on Deep Learning Technique for Video Segmentation. CoRR (2021)
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)
Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. CoRR (2021)
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)
Satoshi Tsutsui, David J. Crandall, Chen Yu
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers. CoRR (2021)
Norman Makoto Su, David J. Crandall
The Affective Growth of Computer Vision. CVPR (2021)
Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall
Part Segmentation of Unseen Objects using Keypoint Guidance. WACV (2021)
Satoshi Tsutsui, Yanwei Fu, David J. Crandall
Whose hand is this? Person Identification from Egocentric Hand Gestures. WACV (2021)
Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall
Learning Adaptations for Case-Based Classification: A Neural Network Approach. ICCBR (2021)
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)
Samuel Goree, Bardia Doosti, David J. Crandall, Norman Makoto Su
Investigating the Homogenization of Web Design: A Mixed-Methods Approach. CHI (2021)
Zachary Wilkerson, David Leake, David J. Crandall
On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval. ICCBR (2021)
Zhenhua Chen, Chuhua Wang, David J. Crandall
Adversarial Attack in the Context of Self-driving. CoRR (2021)
Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md. Alimoor Reza, David J. Crandall, Soon-Heung Jung
Error Diagnosis of Deep Monocular Depth Estimation Models. CoRR (2021)
Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall
Stepwise Goal-Driven Networks for Trajectory Prediction. CoRR (2021)
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi
Learning Video Object Segmentation from Unlabeled Videos. CoRR (2020)
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)
Md. Alimoor Reza, Zhenhua Chen, David J. Crandall
Deep Neural Network-Based Detection and Verification of Microelectronic Images. J. Hardw. Syst. Secur. 4 (1) (2020)
Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall
Pose-Guided Knowledge Transfer for Object Part Segmentation. CVPR Workshops (2020)
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 (2020)
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 (2020)
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)
Md. Alimoor Reza, David J. Crandall
IC-ChipNet: Deep Embedding Learning for Fine-grained Retrieval, Recognition, and Verification of Microelectronic Images. AIPR (2020)
Satoshi Tsutsui, Yanwei Fu, David J. Crandall
Whose hand is this? Person Identification from Egocentric Hand Gestures. CoRR (2020)
Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. IEEE Symposium on Security and Privacy (2020)
Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall
Interaction Graphs for Object Importance Estimation in On-road Driving Videos. CoRR (2020)
Shujon Naha, Md. Alimoor Reza, Chen Yu, David J. Crandall
Localizing Novel Attended Objects in Egocentric Views. BMVC (2020)
Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall
Interaction Graphs for Object Importance Estimation in On-road Driving Videos. ICRA (2020)
David Leake, David J. Crandall
On Bringing Case-Based Reasoning Methodology to Deep Learning. ICCBR (2020)
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 (2020)
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation. CVPR (2020)
Ishtiak Zaman, David J. Crandall
Genetic-GAN: Synthesizing Images Between Two Domains by Genetic Crossover. ECCV Workshops (3) (2020)
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)
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 (2020)
Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification. CoRR (2020)
Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari
Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS (2020)
Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR (2020)
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation. CoRR (2020)
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) (2020)
Zehua Zhang, David J. Crandall
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. CoRR (2020)
Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David J. Crandall, Christopher Raphael
Observing Pianist Accuracy and Form with Computer Vision. WACV (2019)
Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. ICCV (2019)
Zehua Zhang, Chen Yu, David J. Crandall
A Self Validation Network for Object-Level Human Attention Estimation. NeurIPS (2019)
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)
Suzanne Menzel, Katie A. Siek, David J. Crandall
Hello Research! Developing an Intensive Research Experience for Undergraduate Women. SIGCSE (2019)
Ziyu Xiang, Linda B. Smith, David J. Crandall
Semantic structure of infant first-person scenes changes with development. CogSci (2019)
Satoshi Tsutsui, Yanwei Fu, David J. Crandall
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. CoRR (2019)
Md. Alimoor Reza, Akshay U. Naik, Kai Chen, David J. Crandall
Automatic Annotation for Semantic Segmentation in Indoor Scenes. IROS (2019)
Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins
Unsupervised Traffic Accident Detection in First-Person Videos. IROS (2019)
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) (2019)
Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall
Temporal Recurrent Networks for Online Action Detection. ICCV (2019)
Satoshi Tsutsui, Dian Zhi, Md. Alimoor Reza, David J. Crandall, Chen Yu
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. CoRR (2019)
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)
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)
Zhenhua Chen, Xiwen Li, Chuhua Wang, David J. Crandall
P-CapsNets: a General Form of Convolutional Neural Networks. CoRR (2019)
Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins
Unsupervised Traffic Accident Detection in First-Person Videos. CoRR (2019)
Zehua Zhang, Chen Yu, David J. Crandall
A Self Validation Network for Object-Level Human Attention Estimation. CoRR (2019)
Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra
Embodied Visual Recognition. CoRR (2019)
Aniruddha M. Godbole, David J. Crandall
Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints. WebSci (2019)
Satoshi Tsutsui, Yanwei Fu, David J. Crandall
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. NeurIPS (2019)
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)
Tousif Ahmed, Rakibul Hasan, Kay Connelly, David J. Crandall, Apu Kapadia
Conveying Situational Information to People with Visual Impairments. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

David J. Crandall