David J. Crandall

212 papers A* 38A 24B 14C 8Misc 1Journal 85Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Markovian View of Iterative-Feedback Loops in Image Generative Models: Neural Resonance and Model Collapse. CoRR Vibhas K. Vats, David J. Crandall, Samuel Goree
2026	—	`conf`	Remembering the Future with IRIS: Robotics Purpose Aiding Those Living with Dementia and Offering Empowerment. HRI Companion Jack Bassett, Long-Jing Hsu, Stephen Taylor, Janice K. Bays, Weslie Khoo, Katherine M. Tsui, David J. Crandall, Selma Sabanovic
2025	J	`jnl`	A solution to generalized learning from small training sets found in everyday infant experiences. CoRR Frangil Ramirez, Elizabeth M. Clerkin, David J. Crandall, Linda B. Smith
2025	J	`jnl`	GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection. CoRR Yu Wang, Juhyung Ha, Frangil M. Ramirez, Yuchen Wang, David J. Crandall
2025	J	`jnl`	Issues with Neural Tangent Kernel Approach to Neural Networks. CoRR Haoran Liu, Anthony S. Tai, David J. Crandall, Chunfeng Huang
2025	A*	`conf`	Million Eyes on the "Robot Umps": The Case for Studying Sports in HRI Through Baseball. HRI Waki Kamino, Andrea W. Wen-Yi, Dhruv Agarwal, Sil Hamilton, Eun Jeong Kang, Jieun Kim, Keigo Kusumegi, Pegah Moradi, Daniel Mwesigwa, Yan Tao, I-Ting Tsai, Ethan Yang, Shengqi Zhu, Shu-Jung Han, Chi-Jung Lee, Michael Joseph Sack, Tianhong Catherine Yu, Weslie Khoo, Andy Elliot Ricci, Yoyo Tsung-Yu Hou, Boyoung Kim, Selma Sabanovic, David J. Crandall, Karen Levy, Malte F. Jung
2025	J	`jnl`	PAIR-Net: Enhancing Egocentric Speaker Detection via Pretrained Audio-Visual Fusion and Alignment Loss. CoRR Yu Wang, Juhyung Ha, David J. Crandall
2025	J	`jnl`	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 Diane Kuhn, Nicholas E. Harrison, Paul I. Musey, David J. Crandall, Peter S. Pang, Julie L. Welch, Christopher A. Harle
2025	J	`jnl`	Reconstructing High Quality Raw Video Using Temporal Affinity and Diffusion Prior. IEEE Trans. Pattern Anal. Mach. Intell. Wencheng Han, Jianbing Shen, David J. Crandall, Cheng-Zhong Xu
2024	A*	`conf`	"Give it Time: " Longitudinal Panels Scaffold Older Adults' Learning and Robot Co-Design. HRI Long-Jing Hsu, Philip B. Stafford, Weslie Khoo, Manasi Swaminathan, Kyrie Jig Amon, Hiroki Sato, Katherine M. Tsui, David J. Crandall, Selma Sabanovic
2024	J	`jnl`	Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Wencheng Han, Xingping Dong, Yiyuan Zhang, David J. Crandall, Cheng-Zhong Xu, Jianbing Shen
2024	J	`jnl`	Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric. CoRR Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
2024	A	`conf`	GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo. WACV Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-Heung Jung
2024	J	`jnl`	Geometric Constraints in Deep Learning Frameworks: A Survey. CoRR Vibhas K. Vats, David J. Crandall
2024	—	`conf`	If [YourName] Can Code, So Can You! End-User Robot Programming For Non-Experts. HRI (Companion) Manasi Swaminathan, Long-Jing Hsu, Min Min Thant, Kyrie Jig Amon, Anna S. Kim, Katherine M. Tsui, Selma Sabanovic, David J. Crandall, Weslie Khoo
2024	—	`conf`	Is Now a Good Time? Opportune Moments for Interacting with an Ikigai Support Robot. HRI (Companion) Long-Jing Hsu, Weslie Khoo, Peter Lenon Goshomi, Philip B. Stafford, Manasi Swaminathan, Katherine M. Tsui, David J. Crandall, Selma Sabanovic
2024	B	`conf`	Let's Talk About You: Development and Evaluation of an Autonomous Robot to Support Ikigai Reflection in Older Adults. RO-MAN 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
2024	J	`jnl`	Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Satoshi Tsutsui, Yanwei Fu, David J. Crandall
2024	A	`conf`	SePaint: Semantic Map Inpainting via Multinomial Diffusion. IROS Zheng Chen, Deepak Duggirala, David J. Crandall, Lei Jiang, Lantao Liu
2024	J	`jnl`	TimeRefine: Temporal Grounding with Time Refining Video LLM. CoRR Xizi Wang, Feng Cheng, Ziyang Wang, Huiyu Wang, Md Mohaiminul Islam, Lorenzo Torresani, Mohit Bansal, Gedas Bertasius, David J. Crandall
2023	J	`jnl`	A Survey on Deep Learning Technique for Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang
2023	J	`jnl`	Addressing the harms of AI-generated inauthentic content. Nat. Mac. Intell. Filippo Menczer, David J. Crandall, Yong-Yeol Ahn, Apu Kapadia
2023	A*	`conf`	Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models. AAAI Samuel Goree, Weslie Khoo, David J. Crandall
2023	J	`jnl`	DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos. IEEE Trans. Pattern Anal. Mach. Intell. Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella M. Atkins, David J. Crandall
2023	J	`jnl`	Editorial: Special Section on Egocentric Perception. IEEE Trans. Pattern Anal. Mach. Intell. Antonino Furnari, David J. Crandall, Dima Damen, Kristen Grauman, Giovanni Maria Farinella
2023	—	`ch.`	Enhancing Case-Based Reasoning with Neural Networks. Compendium of Neurosymbolic Artificial Intelligence David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall
2023	C	`conf`	Examining the Impact of Network Architecture on Extracted Feature Quality for CBR. ICCBR David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall
2023	A	`conf`	Few-Shot Segmentation and Semantic Segmentation for Underwater Imagery. IROS Imran Kabir, Shubham Shaurya, Vijayalaxmi Maigur, Nikhil Thakurdesai, Mahesh Latnekar, Mayank Raunak, David J. Crandall, Md. Alimoor Reza
2023	B	`conf`	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 Long-Jing Hsu, Weslie Khoo, Natasha Randall, Waki Kamino, Swapna Joshi, Hiroki Sato, David J. Crandall, Katherine M. Tsui, Selma Sabanovic
2023	J	`jnl`	GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo. CoRR Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-Heung Jung
2023	J	`jnl`	Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Junbo Yin, Jianbing Shen, Xin Gao, David J. Crandall, Ruigang Yang
2023	J	`jnl`	Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu
2023	—	`conf`	Spill the Tea: When Robot Conversation Agents Support Well-being for Older Adults. HRI (Companion) 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
2023	A*	`conf`	VindLU: A Recipe for Effective Video-and-Language Pretraining. CVPR Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius
2023	J	`jnl`	Working Together Toward XRDS Long-Jing Hsu, Waki Kamino, Weslie Khoo, Katherine M. Tsui, David J. Crandall, Selma Sabanovic
2022	—	`conf`	Action Recognition based on Cross-Situational Action-object Statistics. ICDL Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu
2022	J	`jnl`	Action Recognition based on Cross-Situational Action-object Statistics. CoRR Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu
2022	J	`jnl`	Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper. CoRR Samuel Goree, Gabriel Appleby, David J. Crandall, Norman Makoto Su
2022	—	`conf`	Generating Counterfactual Images: Towards a C2C-VAE Approach. ICCBR Workshops Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
2022	J	`jnl`	Segmenting Objects From Relational Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool
2022	J	`jnl`	Stepwise Goal-Driven Networks for Trajectory Prediction. IEEE Robotics Autom. Lett. Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall
2022	J	`jnl`	VindLU: A Recipe for Effective Video-and-Language Pretraining. CoRR Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius
2021	J	`jnl`	Adversarial Attack in the Context of Self-driving. CoRR Zhenhua Chen, Chuhua Wang, David J. Crandall
2021	J	`jnl`	Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. CoRR Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall
2021	A	`conf`	Deep Tiered Image Segmentation for Detecting Internal ICE Layers in Radar Imagery. ICME Yuchen Wang, Mingze Xu, John D. Paden, Lora S. Koenig, Geoffrey C. Fox, David J. Crandall
2021	A	`conf`	Error Diagnosis of Deep Monocular Depth Estimation Models. IROS Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md. Alimoor Reza, David J. Crandall, Soon-Heung Jung
2021	J	`jnl`	Error Diagnosis of Deep Monocular Depth Estimation Models. CoRR Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md. Alimoor Reza, David J. Crandall, Soon-Heung Jung
2021	J	`jnl`	How to Accelerate Capsule Convolutions in Capsule Networks. CoRR Zhenhua Chen, Xiwen Li, Qian Lou, David J. Crandall
2021	A*	`conf`	Investigating the Homogenization of Web Design: A Mixed-Methods Approach. CHI Samuel Goree, Bardia Doosti, David J. Crandall, Norman Makoto Su
2021	C	`conf`	Learning Adaptations for Case-Based Classification: A Neural Network Approach. ICCBR Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall
2021	C	`conf`	On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval. ICCBR Zachary Wilkerson, David Leake, David J. Crandall
2021	A	`conf`	Part Segmentation of Unseen Objects using Keypoint Guidance. WACV Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall
2021	J	`jnl`	Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers. CoRR Satoshi Tsutsui, David J. Crandall, Chen Yu
2021	J	`jnl`	Stepwise Goal-Driven Networks for Trajectory Prediction. CoRR Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall
2021	—	`conf`	Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering David Leake, Xiaomeng Ye, David J. Crandall
2021	A*	`conf`	The Affective Growth of Computer Vision. CVPR Norman Makoto Su, David J. Crandall
2021	A	`conf`	Whose hand is this? Person Identification from Egocentric Hand Gestures. WACV Satoshi Tsutsui, Yanwei Fu, David J. Crandall
2020	B	`conf`	A Computational Model of Early Word Learning from the Infant's Point of View. CogSci Satoshi Tsutsui, Arjun Chandrasekaran, Md. Alimoor Reza, David J. Crandall, Chen Yu
2020	J	`jnl`	A Computational Model of Early Word Learning from the Infant's Point of View. CoRR Satoshi Tsutsui, Arjun Chandrasekaran, Md. Alimoor Reza, David J. Crandall, Chen Yu
2020	J	`jnl`	Automatic Dense Annotation for Monocular 3D Scene Understanding. IEEE Access Md. Alimoor Reza, Kai Chen, Akshay U. Naik, David J. Crandall, Soon-Heung Jung
2020	A*	`conf`	Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. SP Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia
2020	J	`jnl`	Deep Neural Network-Based Detection and Verification of Microelectronic Images. J. Hardw. Syst. Secur. Md. Alimoor Reza, Zhenhua Chen, David J. Crandall
2020	J	`jnl`	Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery. CoRR Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey C. Fox, David J. Crandall
2020	J	`jnl`	Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification. CoRR Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
2020	—	`conf`	Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification. ECCV (17) Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
2020	—	`conf`	Genetic-GAN: Synthesizing Images Between Two Domains by Genetic Crossover. ECCV Workshops (3) Ishtiak Zaman, David J. Crandall
2020	A*	`conf`	HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation. CVPR Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall
2020	J	`jnl`	HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation. CoRR Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall
2020	—	`conf`	IC-ChipNet: Deep Embedding Learning for Fine-grained Retrieval, Recognition, and Verification of Microelectronic Images. AIPR Md. Alimoor Reza, David J. Crandall
2020	A*	`conf`	Interaction Graphs for Object Importance Estimation in On-road Driving Videos. ICRA Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall
2020	J	`jnl`	Interaction Graphs for Object Importance Estimation in On-road Driving Videos. CoRR Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall
2020	A*	`conf`	Learning Video Object Segmentation From Unlabeled Videos. CVPR Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi
2020	J	`jnl`	Learning Video Object Segmentation from Unlabeled Videos. CoRR Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi
2020	A	`conf`	Localizing Novel Attended Objects in Egocentric Views. BMVC Shujon Naha, Md. Alimoor Reza, Chen Yu, David J. Crandall
2020	C	`conf`	On Bringing Case-Based Reasoning Methodology to Deep Learning. ICCBR David Leake, David J. Crandall
2020	—	`conf`	Pose-Guided Knowledge Transfer for Object Part Segmentation. CVPR Workshops Shujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall
2020	J	`jnl`	Privacy Norms and Preferences for Photos Posted Online. ACM Trans. Comput. Hum. Interact. Roberto Hoyle, Luke Stark, Qatrunnada Ismail, David J. Crandall, Apu Kapadia, Denise L. Anthony
2020	C	`conf`	Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari
2020	J	`jnl`	When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos. CoRR Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella M. Atkins, David J. Crandall
2020	J	`jnl`	Whose hand is this? Person Identification from Egocentric Hand Gestures. CoRR Satoshi Tsutsui, Yanwei Fu, David J. Crandall
2020	J	`jnl`	Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao
2019	A*	`conf`	A Self Validation Network for Object-Level Human Attention Estimation. NeurIPS Zehua Zhang, Chen Yu, David J. Crandall
2019	J	`jnl`	A Self Validation Network for Object-Level Human Attention Estimation. CoRR Zehua Zhang, Chen Yu, David J. Crandall
2019	J	`jnl`	Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. CoRR Satoshi Tsutsui, Dian Zhi, Md. Alimoor Reza, David J. Crandall, Chen Yu
2019	J	`jnl`	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. Victor Berger, Mingze Xu, Mohanad Al-Ibadi, Shane Chu, David J. Crandall, John Paden, Geoffrey Charles Fox
2019	A	`conf`	Automatic Annotation for Semantic Segmentation in Indoor Scenes. IROS Md. Alimoor Reza, Akshay U. Naik, Kai Chen, David J. Crandall
2019	A*	`conf`	Can Privacy Be Satisfying?: On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms. CHI Rakibul Hasan, Yifang Li, Eman T. Hassan, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia
2019	J	`jnl`	Conveying Situational Information to People with Visual Impairments. CoRR Tousif Ahmed, Rakibul Hasan, Kay Connelly, David J. Crandall, Apu Kapadia
2019	A*	`conf`	Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. ICRA Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush
2019	A*	`conf`	Embodied Amodal Recognition: Learning to Move to Perceive Objects. ICCV Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra
2019	J	`jnl`	Embodied Visual Recognition. CoRR Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra
2019	—	`conf`	Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints. WebSci Aniruddha M. Godbole, David J. Crandall
2019	A	`conf`	Hello Research! Developing an Intensive Research Experience for Undergraduate Women. SIGCSE Suzanne Menzel, Katie A. Siek, David J. Crandall
2019	B	`conf`	How do infants start learning object names in a sea of clutter? CogSci Hadar Karmazyn Raz, Drew H. Abney, David J. Crandall, Chen Yu, Linda B. Smith
2019	A*	`conf`	Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. NeurIPS Satoshi Tsutsui, Yanwei Fu, David J. Crandall
2019	J	`jnl`	Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. CoRR Satoshi Tsutsui, Yanwei Fu, David J. Crandall
2019	A	`conf`	Observing Pianist Accuracy and Form with Computer Vision. WACV Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David J. Crandall, Christopher Raphael
2019	J	`jnl`	P-CapsNets: a General Form of Convolutional Neural Networks. CoRR Zhenhua Chen, Xiwen Li, Chuhua Wang, David J. Crandall
2019	B	`conf`	Semantic structure of infant first-person scenes changes with development. CogSci Ziyu Xiang, Linda B. Smith, David J. Crandall
2019	A*	`conf`	Temporal Recurrent Networks for Online Action Detection. ICCV Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall
2019	A	`conf`	Unsupervised Traffic Accident Detection in First-Person Videos. IROS Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins
2019	J	`jnl`	Unsupervised Traffic Accident Detection in First-Person Videos. CoRR Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins
2019	A*	`conf`	Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. ICCV Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao
2018	C	`conf`	Automated Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S. IGARSS Victor Berger, Mingze Xu, Shane Chu, David J. Crandall, John Paden, Geoffrey C. Fox
2018	J	`jnl`	Deepdiary: Lifelogging image captioning and summarization. J. Vis. Commun. Image Represent. Chenyou Fan, Zehua Zhang, David J. Crandall
2018	A*	`conf`	Diverse Beam Search for Improved Description of Complex Scenes. AAAI Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra
2018	J	`jnl`	Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. CoRR Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush
2018	B	`conf`	Estimating Head Motion from Egocentric Vision. ICMI Satoshi Tsutsui, Sven Bambach, David J. Crandall, Chen Yu
2018	—	`conf`	Forecasting Hand Gestures for Human-Drone Interaction. HRI (Companion) Jangwon Lee, Haodan Tan, David J. Crandall, Selma Sabanovic
2018	A	`conf`	From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video. BMVC Zehua Zhang, David J. Crandall, Chen Yu, Sven Bambach
2018	A	`conf`	Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. WACV Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall
2018	J	`jnl`	Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. CoRR Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall
2018	J	`jnl`	Generalized Capsule Networks with Trainable Routing Procedure. CoRR Zhenhua Chen, David J. Crandall
2018	J	`jnl`	Introduction to the special issue: Egocentric Vision and Lifelogging. J. Vis. Commun. Image Represent. Mariella Dimiccoli, Cathal Gurrin, David J. Crandall, Xavier Giró-i-Nieto, Petia Radeva
2018	—	`conf`	Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. ECCV (1) Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall
2018	J	`jnl`	Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos. CoRR Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall
2018	—	`conf`	Minimizing Supervision for Free-Space Segmentation. CVPR Workshops Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall
2018	J	`jnl`	Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction. CoRR Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall
2018	A	`conf`	Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction. WACV Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall
2018	J	`jnl`	Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media. AI Mag. 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
2018	J	`jnl`	Temporal Recurrent Networks for Online Action Detection. CoRR Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall
2018	A*	`conf`	Toddler-Inspired Visual Object Learning. NeurIPS Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu
2018	J	`jnl`	Unsupervised Domain Adaptation using Generative Models and Self-ensembling. CoRR Eman T. Hassan, Xin Chen, David J. Crandall
2018	A*	`conf`	Viewer Experience of Obscuring Scene Elements in Photos to Enhance Privacy. CHI Rakibul Hasan, Eman T. Hassan, Yifang Li, Kelly Caine, David J. Crandall, Roberto Hoyle, Apu Kapadia
2017	A	`conf`	A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks. ICDAR Satoshi Tsutsui, David J. Crandall
2017	J	`jnl`	A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks. CoRR Satoshi Tsutsui, David J. Crandall
2017	—	`conf`	A Deep Study into the History of Web Design. WebSci Bardia Doosti, David J. Crandall, Norman Makoto Su
2017	J	`jnl`	A Study of Cross-domain Generative Models applied to Cartoon Series. CoRR Eman T. Hassan, David J. Crandall
2017	A*	`conf`	A Unified Model for Near and Remote Sensing. ICCV Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs
2017	J	`jnl`	A Unified Model for Near and Remote Sensing. CoRR Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs
2017	—	`conf`	Addressing supply chain risks of microelectronic devices through computer vision. AIPR Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David J. Crandall, Robert Templeman
2017	J	`jnl`	An efficient system to fund science: from proposal review to peer-to-peer distributions. Scientometrics Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner
2017	—	`conf`	An egocentric perspective on active vision and visual object learning in toddlers. ICDL-EPIROB Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu
2017	J	`jnl`	Automatic Estimation of Ice Bottom Surfaces from Radar Imagery. CoRR Mingze Xu, David J. Crandall, Geoffrey C. Fox, John Paden
2017	B	`conf`	Automatic estimation of ice bottom surfaces from radar imagery. ICIP Mingze Xu, David J. Crandall, Geoffrey C. Fox, John D. Paden
2017	—	`conf`	Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos. CVPR Workshops Eman T. Hassan, Rakibul Hasan, Patrick Shaffer, David J. Crandall, Apu Kapadia
2017	C	`conf`	DEM extraction of the basal topography of the Canadian archipelago ICE caps via 2D automated layer-tracker. IGARSS 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
2017	—	`conf`	Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models. ICCV Workshops Chen Yu, Sven Bambach, Zehua Zhang, David J. Crandall
2017	J	`jnl`	Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA. CoRR Kai Zhen, Mridul Birla, David J. Crandall, Bingjing Zhang, Judy Qiu
2017	A*	`conf`	Identifying First-Person Camera Wearers in Third-Person Videos. CVPR Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017	J	`jnl`	Identifying First-person Camera Wearers in Third-person Videos. CoRR Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017	—	`conf`	Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles. IRC Jangwon Lee, Jingya Wang, David J. Crandall, Selma Sabanovic, Geoffrey C. Fox
2017	A*	`conf`	Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods. CHI Wen Chen, David J. Crandall, Norman Makoto Su
2017	J	`jnl`	Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments. IEEE Internet Comput. Tousif Ahmed, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David J. Crandall, Apu Kapadia
2017	J	`jnl`	Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation. CoRR Satoshi Tsutsui, David J. Crandall
2016	B	`conf`	Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach. CogSci Sven Bambach, David J. Crandall, Linda B. Smith, Chen Yu
2016	A	`conf`	Addressing Physical Safety, Security, and Privacy for People with Visual Impairments. SOUPS Tousif Ahmed, Patrick Shaffer, Kay Connelly, David J. Crandall, Apu Kapadia
2016	—	`conf`	Cloud-based Parallel Implementation of SLAM for Mobile Robots. ICC 2016 Supun Kamburugamuve, Hengjing He, Geoffrey C. Fox, David J. Crandall
2016	J	`jnl`	DeepDiary: Automatic Caption Generation for Lifelogging Image Streams. CoRR Chenyou Fan, David J. Crandall
2016	—	`conf`	DeepDiary: Automatically Captioning Lifelogging Image Streams. ECCV Workshops (1) Chenyou Fan, David J. Crandall
2016	J	`jnl`	Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. CoRR Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra
2016	A*	`conf`	Enhancing Lifelogging Privacy by Detecting Screens. CHI Mohammed Korayem, Robert Templeman, Dennis Chen, David J. Crandall, Apu Kapadia
2016	—	`conf`	Objects in the center: How the infant's body constrains infant scenes. ICDL-EPIROB Sven Bambach, Linda B. Smith, David J. Crandall, Chen Yu
2016	—	`ch.`	Recognizing Landmarks in Large-Scale Social Image Collections. Large-Scale Visual Geo-Localization David J. Crandall, Yunpeng Li, Stefan Lee, Daniel P. Huttenlocher
2016	J	`jnl`	Reports of the Workshops Held at the 2016 International AAAI Conference on Web and Social Media. AI Mag. Jisun An, David J. Crandall, Roman Fedorov, Casey Fiesler, Fabio Giglietto, Bahareh R. Heravi, Jessica Pater, Konstantinos Pelechrinis, Daniele Quercia, Katrin Weller, Arkaitz Zubiaga
2016	J	`jnl`	Sentiment/subjectivity analysis survey for languages other than English. Soc. Netw. Anal. Min. Mohammed Korayem, Khalifeh AlJadda, David J. Crandall
2016	—	`ed.`	Social Web for Environmental and Ecological Monitoring, Papers from the 2016 ICWSM Workshop, Cologne, Germany, May 17, 2016 EcoMo@ICWSM David J. Crandall, Roman Fedorov
2016	—	`conf`	Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
2016	J	`jnl`	Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
2016	A*	`conf`	Tracking Natural Events through Social Media and Computer Vision. ACM Multimedia Jingya Wang, Mohammed Korayem, Saúl A. Blanco, David J. Crandall
2015	J	`jnl`	Human pose estimation via multi-layer composite models. Signal Process. Kun Duan, Dhruv Batra, David J. Crandall
2015	A*	`conf`	Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. ICCV Sven Bambach, Stefan Lee, David J. Crandall, Chen Yu
2015	B	`conf`	Linking Past to Present: Discovering Style in Two Centuries of Architecture. ICCP Stefan Lee, Nicolas Maisonneuve, David J. Crandall, Alexei A. Efros, Josef Sivic
2015	A	`conf`	Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks. WACV Stefan Lee, Haipeng Zhang, David J. Crandall
2015	A*	`conf`	Privacy Concerns and Behaviors of People with Visual Impairments. CHI Tousif Ahmed, Roberto Hoyle, Kay Connelly, David J. Crandall, Apu Kapadia
2015	A*	`conf`	Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras. CHI Roberto Hoyle, Robert Templeman, Denise L. Anthony, David J. Crandall, Apu Kapadia
2015	B	`conf`	Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View. ICMI Sven Bambach, David J. Crandall, Chen Yu
2015	J	`jnl`	Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra
2014	A	`conf`	Attribute-based vehicle recognition using viewpoint-aware multiple instance SVMs. WACV Kun Duan, Luca Marchesotti, David J. Crandall
2014	B	`conf`	Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction. CogSci Sven Bambach, John M. Franchak, David J. Crandall, Chen Yu
2014	B	`conf`	Estimating bedrock and surface layer boundaries and confidence intervals in ice sheet radar imagery using MCMC. ICIP Stefan Lee, Jerome E. Mitchell, David J. Crandall, Geoffrey C. Fox
2014	A*	`conf`	Multimodal Learning in Loosely-Organized Web Images. CVPR Kun Duan, David J. Crandall, Dhruv Batra
2014	A*	`conf`	PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. NDSS Robert Templeman, Mohammed Korayem, David J. Crandall, Apu Kapadia
2014	Misc	`conf`	Privacy behaviors of lifeloggers using wearable cameras. UbiComp Roberto Hoyle, Robert Templeman, Steven Armes, Denise L. Anthony, David J. Crandall, Apu Kapadia
2014	—	`conf`	Reactive security: responding to visual stimuli from wearable cameras. UbiComp Adjunct Robert Templeman, Apu Kapadia, Roberto Hoyle, David J. Crandall
2014	J	`jnl`	ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras. CoRR Mohammed Korayem, Robert Templeman, Dennis Chen, David J. Crandall, Apu Kapadia
2014	—	`conf`	This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video. CVPR Workshops Stefan Lee, Sven Bambach, David J. Crandall, John M. Franchak, Chen Yu
2014	—	`conf`	mFingerprint: Privacy-Preserving User Modeling with Multimodal Mobile Device Footprints. SBP Haipeng Zhang, Zhixian Yan, Jun Yang, Emmanuel Munguia Tapia, David J. Crandall
2013	C	`conf`	A semi-automatic approach for estimating near surface internal layers from snow radar imagery. IGARSS Jerome E. Mitchell, David J. Crandall, Geoffrey C. Fox, John Paden
2013	J	`jnl`	Collective allocation of science funding: from funding agencies to scientific agency CoRR Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner
2013	A	`conf`	De-Anonymizing Users Across Heterogeneous Social Computing Platforms. ICWSM Mohammed Korayem, David J. Crandall
2013	—	`conf`	Observing the Natural World with Flickr. ICCV Workshops Jingya Wang, Mohammed Korayem, David J. Crandall
2013	A*	`conf`	PlaceRaider: Virtual Theft in Physical Spaces with Smartphones. NDSS Robert Templeman, Zahid Rahman, David J. Crandall, Apu Kapadia
2013	J	`jnl`	SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. David J. Crandall, Andrew Owens, Noah Snavely, Daniel P. Huttenlocher
2013	—	`conf`	Understanding embodied visual attention in child-parent interaction. ICDL-EPIROB Sven Bambach, David J. Crandall, Chen Yu
2012	A	`conf`	A Multi-layer Composite Model for Human Pose Estimation. BMVC Kun Duan, Dhruv Batra, David J. Crandall
2012	A	`conf`	Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities. WSDM Haipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall
2012	A*	`conf`	Discovering localized attributes for fine-grained recognition. CVPR Kun Duan, Devi Parikh, David J. Crandall, Kristen Grauman
2012	B	`conf`	Layer-finding in radar echograms using probabilistic graphical models. ICPR David J. Crandall, Geoffrey Charles Fox, John Paden
2012	—	`conf`	Learning Visual Features for the Avatar Captcha Recognition Challenge. ICMLA (2) Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy
2012	A*	`conf`	Mining photo-sharing websites to study ecological phenomena. WWW Haipeng Zhang, Mohammed Korayem, David J. Crandall, Gretchen LeBuhn
2012	J	`jnl`	Modeling people and places with internet photo collections. Commun. ACM David J. Crandall, Noah Snavely
2012	J	`jnl`	PlaceRaider: Virtual Theft in Physical Spaces with Smartphones CoRR Robert Templeman, Zahid Rahman, David J. Crandall, Apu Kapadia
2012	—	`conf`	Solving Avatar Captchas Automatically. AMLTA Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy
2012	—	`conf`	Subjectivity and Sentiment Analysis of Arabic: A Survey. AMLTA Mohammed Korayem, David J. Crandall, Muhammad Abdul-Mageed
2011	A*	`conf`	Discrete-continuous optimization for large-scale structure from motion. CVPR David J. Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher
2010	J	`jnl`	Inferring social ties from geographic coincidences. Proc. Natl. Acad. Sci. USA David J. Crandall, Lars Backstrom, Dan Cosley, Siddharth Suri, Daniel P. Huttenlocher, Jon M. Kleinberg
2009	A*	`conf`	Landmark classification in large-scale image collections. ICCV Yunpeng Li, David J. Crandall, Daniel P. Huttenlocher
2009	A*	`conf`	Mapping the world's photos. WWW David J. Crandall, Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kleinberg
2008	A*	`conf`	Feedback effects between similarity and social influence in online communities. KDD David J. Crandall, Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinberg, Siddharth Suri
2008	—	`—`	Part-based Statistical Models for Visual Object Class Recognition. David J. Crandall
2007	A*	`conf`	Composite Models of Objects and Scenes for Category Recognition. CVPR David J. Crandall, Daniel P. Huttenlocher
2006	J	`jnl`	Color object detection using spatial-color joint probability functions. IEEE Trans. Image Process. Jiebo Luo, David J. Crandall
2006	—	`conf`	Object Recognition by Combining Appearance and Geometry. Toward Category-Level Object Recognition David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher
2006	—	`conf`	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition. ECCV (1) David J. Crandall, Daniel P. Huttenlocher
2005	—	`conf`	Spatial Priors for Part-Based Recognition Using Statistical Models. CVPR (1) David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher
2004	—	`conf`	Robust Color Object Detection Using Spatial-Color Joint Probability Functions. CVPR (1) David J. Crandall, Jiebo Luo
2003	J	`jnl`	Extraction of special effects caption text events from digital video. Int. J. Document Anal. Recognit. David J. Crandall, Sameer K. Antani, Rangachar Kasturi
2003	—	`conf`	Psychophysical study of image orientation perception. Human Vision and Electronic Imaging Jiebo Luo, David J. Crandall, Amit Singhal, Robert T. Gray
2001	A	`conf`	Robust Detection of Stylized Text Events in Digital Video. ICDAR David J. Crandall, Rangachar Kasturi
2000	B	`conf`	Robust Extraction of Text in Video. ICPR Sameer K. Antani, David J. Crandall, Rangachar Kasturi
1999	A	`conf`	A System for Automatic Text Detection in Video. ICDAR Ullas Gargi, David J. Crandall, Sameer K. Antani, Tarak Gandhi, Ryan Keener, Rangachar Kasturi