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ORCIDDavid J. Crandall
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- affiliation: Indiana University, Bloomington, USA
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2020 – today
- 2023
[j21]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)- [c114]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 - [i51]Xizi Wang, Feng Cheng, Gedas Bertasius, David J. Crandall:
LoCoNet: Long-Short Context Network for Active Speaker Detection. CoRR abs/2301.08237 (2023) - 2022
- [j20]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): 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) - [c113]Zehua Zhang, David J. Crandall, Michael Proulx, Sachin S. Talathi, Abhishek Sharma:
Can Gaze Inform Egocentric Action Recognition? ETRA 2022: 33:1-33:7 - [c112]David Leake, Zachary Wilkerson, David J. Crandall:
Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. ICCBR 2022: 81-95 - [c111]Xiaomeng Ye, David Leake, David J. Crandall:
Case Adaptation with Neural Networks: Capabilities and Limitations. ICCBR 2022: 143-158 - [c110]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 - [c109]Zehua Zhang, David J. Crandall:
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. WACV 2022: 975-985 - [c108]Zhenhua Chen, Chuhua Wang, David J. Crandall:
Semantically Stealthy Adversarial Attacks against Segmentation Models. WACV 2022: 2846-2855 - [i50]Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition. CoRR abs/2204.10689 (2022) - [i49]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 abs/2207.12659 (2022) - [i48]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) - [i47]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) - [i46]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
- [c107]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 - [c106]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 - [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 - [i45]Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall:
Stepwise Goal-Driven Networks for Trajectory Prediction. CoRR abs/2103.14107 (2021) - [i44]Zhenhua Chen, Chuhua Wang, David J. Crandall:
Adversarial Attack in the Context of Self-driving. CoRR abs/2104.01732 (2021) - [i43]Zhenhua Chen, Xiwen Li, Qian Lou, David J. Crandall:
How to Accelerate Capsule Convolutions in Capsule Networks. CoRR abs/2104.02621 (2021) - [i42]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) - [i41]Wenguan Wang, Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. CoRR abs/2107.01153 (2021) - [i40]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) - [i39]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) - 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. IEEE Symposium on Security and Privacy 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 J. 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]