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ORCIDJohn K. Tsotsos
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- affiliation: York University, Canada
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2020 – today
- 2024
[c123]Iuliia Kotseruba, John K. Tsotsos
:
Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation. IV 2024: 1337-1344- [c122]Iuliia Kotseruba, John K. Tsotsos:
Data Limitations for Modeling Top-Down Effects on Drivers' Attention. IV 2024: 1345-1352 - [c121]Iuliia Kotseruba, John K. Tsotsos:
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction. IV 2024: 1927-1932 - [i56]Iuliia Kotseruba, John K. Tsotsos:
Data Limitations for Modeling Top-Down Effects on Drivers' Attention. CoRR abs/2404.08749 (2024) - [i55]Iuliia Kotseruba, John K. Tsotsos:
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction. CoRR abs/2404.08756 (2024) - [i54]Josh Goldman, John K. Tsotsos:
Statistical Challenges with Dataset Construction: Why You Will Never Have Enough Images. CoRR abs/2408.11160 (2024) - 2023
- [j61]Paria Mehrani, John K. Tsotsos:
Self-attention in vision transformers performs perceptual grouping, not attention. Frontiers Comput. Sci. 5 (2023) - [i53]Paria Mehrani, John K. Tsotsos:
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention. CoRR abs/2303.01542 (2023) - [i52]Markus D. Solbach, John K. Tsotsos:
The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving. CoRR abs/2306.11756 (2023) - [i51]Iuliia Kotseruba, John K. Tsotsos:
Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation. CoRR abs/2310.09275 (2023) - 2022
- [j60]John K. Tsotsos:
When We Study the Ability to Attend, What Exactly Are We Trying to Understand? J. Imaging 8(8): 212 (2022) - [j59]Iuliia Kotseruba, John K. Tsotsos:
Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets. IEEE Trans. Intell. Transp. Syst. 23(11): 19907-19928 (2022) - [j58]Mahdi Biparva, David Fernández Llorca, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles. IEEE Trans. Intell. Veh. 7(3): 569-578 (2022) - 2021
- [c120]Markus D. Solbach, John K. Tsotsos:
Tracking Active Observers in 3D Visuo-Cognitive Tasks. ETRA Adjunct 2021: 11:1-11:3 - [c119]Markus D. Solbach, John K. Tsotsos:
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks. ICCVW 2021: 3498-3507 - [c118]Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos:
Benchmark for Evaluating Pedestrian Action Prediction. WACV 2021: 1257-1267 - [i50]John K. Tsotsos, Omar Abid, Iuliia Kotseruba, Markus D. Solbach:
On the Control of Attentional Processes in Vision. CoRR abs/2101.01533 (2021) - [i49]Mahdi Biparva, David Fernández Llorca, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Video action recognition for lane-change classification and prediction of surrounding vehicles. CoRR abs/2101.05043 (2021) - [i48]Markus D. Solbach, John K. Tsotsos:
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks. CoRR abs/2102.12911 (2021) - [i47]Iuliia Kotseruba, John K. Tsotsos:
Behavioral Research and Practical Models of Drivers' Attention. CoRR abs/2104.05677 (2021) - [i46]John K. Tsotsos, Jun Luo:
Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment. CoRR abs/2105.09934 (2021) - [i45]Iuliia Kotseruba, Manos Papagelis, John K. Tsotsos:
Industry and Academic Research in Computer Vision. CoRR abs/2107.04902 (2021) - [i44]Markus D. Solbach, John K. Tsotsos:
Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested. CoRR abs/2108.08145 (2021) - [i43]Christian Korbach, Markus D. Solbach, Raphael Memmesheimer, Dietrich Paulus, John K. Tsotsos:
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification. CoRR abs/2110.06766 (2021) - [i42]Paria Mehrani, John K. Tsotsos:
Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain. CoRR abs/2111.14250 (2021) - 2020
- [j57]Iuliia Kotseruba, John K. Tsotsos:
40 years of cognitive architectures: core cognitive abilities and practical applications. Artif. Intell. Rev. 53(1): 17-94 (2020) - [j56]Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos:
Attention-based active visual search for mobile robots. Auton. Robots 44(2): 131-146 (2020) - [j55]Amir Rosenfeld, John K. Tsotsos:
Incremental Learning Through Deep Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 651-663 (2020) - [j54]Amir Rasouli, John K. Tsotsos:
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice. IEEE Trans. Intell. Transp. Syst. 21(3): 900-918 (2020) - [c117]David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. ITSC 2020: 1-6 - [c116]Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos:
Do They Want to Cross? Understanding Pedestrian Intention for Behavior Prediction. IV 2020: 1688-1693 - [i41]Mahdi Biparva, John K. Tsotsos:
Selective Segmentation Networks Using Top-Down Attention. CoRR abs/2002.01125 (2020) - [i40]Mahdi Biparva, John K. Tsotsos:
Compact Neural Representation Using Attentive Network Pruning. CoRR abs/2005.04559 (2020) - [i39]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. CoRR abs/2005.06582 (2020) - [i38]Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos:
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. CoRR abs/2005.06583 (2020) - [i37]David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. CoRR abs/2008.10869 (2020) - [i36]Markus D. Solbach, John K. Tsotsos:
PESAO: Psychophysical Experimental Setup for Active Observers. CoRR abs/2009.09933 (2020) - [i35]Mahdi Biparva, John K. Tsotsos:
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks. CoRR abs/2011.10857 (2020) - [i34]Calden Wloka, John K. Tsotsos:
An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks. CoRR abs/2012.02749 (2020)
2010 – 2019
- 2019
- [c115]Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos:
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. BMVC 2019: 137 - [c114]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. BMVC 2019: 171 - [c113]Amir Rosenfeld, John K. Tsotsos:
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing. CRV 2019: 9-16 - [c112]Amir Rasouli, Iuliia Kotseruba, Toni Kunic, John K. Tsotsos:
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction. ICCV 2019: 6261-6270 - [c111]John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu:
Why Does Data-Driven Beat Theory-Driven Computer Vision? ICCV Workshops 2019: 2057-2060 - [c110]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c109]Bao Xin Chen, John K. Tsotsos:
Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes. ICCV Workshops 2019: 2281-2289 - [i33]Paria Mehrani, John K. Tsotsos:
Early recurrence enables figure border ownership. CoRR abs/1901.03201 (2019) - [i32]John K. Tsotsos, Iuliia Kotseruba, Calden Wloka:
Early Salient Region Selection Does Not Drive Rapid Visual Categorization. CoRR abs/1901.04908 (2019) - [i31]Amir Rosenfeld, Richard S. Zemel, John K. Tsotsos:
High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks. CoRR abs/1903.10920 (2019) - [i30]Paria Mehrani, Andrei Mouraviev, John K. Tsotsos:
Multiplicative modulations in hue-selective cells enhance unique hue representation. CoRR abs/1907.02116 (2019) - [i29]Bao Xin Chen, John K. Tsotsos:
Fast Visual Object Tracking with Rotated Bounding Boxes. CoRR abs/1907.03892 (2019) - [i28]Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, John K. Tsotsos:
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings. CoRR abs/1908.06422 (2019) - [i27]John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu:
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision. CoRR abs/1908.10933 (2019) - 2018
- [j53]Ruzena Bajcsy, Yiannis Aloimonos, John K. Tsotsos:
Revisiting active perception. Auton. Robots 42(2): 177-196 (2018) - [j52]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Understanding Pedestrian Behavior in Complex Traffic Scenes. IEEE Trans. Intell. Veh. 3(1): 61-70 (2018) - [c108]Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos:
Totally Looks Like - How Humans Compare, Compared to Machines. ACCV (1) 2018: 282-297 - [c107]Raghavender Sahdev, Bao Xin Chen, John K. Tsotsos:
Indoor Localization in Dynamic Human Environments Using Visual Odometry and Global Pose Refinement. CRV 2018: 360-367 - [c106]Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos:
Totally Looks Like - How Humans Compare, Compared to Machines. CVPR Workshops 2018: 1961-1964 - [c105]Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos:
Priming Neural Networks. CVPR Workshops 2018: 2011-2020 - [c104]Calden Wloka, Iuliia Kotseruba, John K. Tsotsos:
Active Fixation Control to Predict Saccade Sequences. CVPR 2018: 3184-3193 - [c103]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
It's Not All About Size: On the Role of Data Properties in Pedestrian Detection. ECCV Workshops (1) 2018: 210-225 - [c102]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Towards Social Autonomous Vehicles: Understanding Pedestrian-Driver Interactions. ITSC 2018: 729-734 - [i26]Amir Rosenfeld, John K. Tsotsos:
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing. CoRR abs/1802.00844 (2018) - [i25]Amir Rasouli, John K. Tsotsos:
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice. CoRR abs/1802.02522 (2018) - [i24]Amir Rosenfeld, John K. Tsotsos:
Challenging Images For Minds and Machines. CoRR abs/1802.04834 (2018) - [i23]Amir Rosenfeld, John K. Tsotsos:
Bridging Cognitive Programs and Machine Learning. CoRR abs/1802.06091 (2018) - [i22]Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos:
Totally Looks Like - How Humans Compare, Compared to Machines. CoRR abs/1803.01485 (2018) - [i21]Markus D. Solbach, Stephen Voland, Jeff Edmonds, John K. Tsotsos:
Random Polyhedral Scenes: An Image Generator for Active Vision System Experiments. CoRR abs/1803.10100 (2018) - [i20]Amir Rasouli, John K. Tsotsos:
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice. CoRR abs/1805.11773 (2018) - [i19]John K. Tsotsos, Iuliia Kotseruba, Amir Rasouli, Markus D. Solbach:
Visual Attention and its Intimate Links to Spatial Cognition. CoRR abs/1806.11530 (2018) - [i18]Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos:
Attention-based Active Visual Search for Mobile Robots. CoRR abs/1807.10744 (2018) - [i17]Amir Rosenfeld, Richard S. Zemel, John K. Tsotsos:
The Elephant in the Room. CoRR abs/1808.03305 (2018) - [i16]Audrey M. B. Wong-Kee-You, John K. Tsotsos, Scott A. Adler:
Development of spatial suppression surrounding the focus of visual attention. CoRR abs/1809.09700 (2018) - [i15]Calden Wloka, Toni Kunic, Iuliia Kotseruba, Ramin Fahimi, Nicholas Frosst, Neil D. B. Bruce, John K. Tsotsos:
SMILER: Saliency Model Implementation Library for Experimental Research. CoRR abs/1812.08848 (2018) - 2017
- [c101]Bao Xin Chen, Raghavender Sahdev, John K. Tsotsos:
Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera. CRV 2017: 48-55 - [c100]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior. ICCV Workshops 2017: 206-213 - [c99]Markus D. Solbach, John K. Tsotsos:
Vision-Based Fallen Person Detection for the Elderly. ICCV Workshops 2017: 1433-1442 - [c98]Mahdi Biparva, John K. Tsotsos:
STNet: Selective Tuning of Convolutional Networks for Object Localization. ICCV Workshops 2017: 2715-2723 - [c97]Bao Xin Chen, Raghavender Sahdev, John K. Tsotsos:
Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot. ICVS 2017: 300-313 - [c96]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Agreeing to cross: How drivers and pedestrians communicate. Intelligent Vehicles Symposium 2017: 264-269 - [i14]Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Agreeing to Cross: How Drivers and Pedestrians Communicate. CoRR abs/1702.03555 (2017) - [i13]Amir Rasouli, John K. Tsotsos:
Integrating Three Mechanisms of Visual Attention for Active Visual Search. CoRR abs/1702.04292 (2017) - [i12]Amir Rasouli, John K. Tsotsos:
The Effect of Color Space Selection on Detectability and Discriminability of Colored Objects. CoRR abs/1702.05421 (2017) - [i11]Amir Rosenfeld, John K. Tsotsos:
Incremental Learning Through Deep Adaptation. CoRR abs/1705.04228 (2017) - [i10]Yulong Wu, John K. Tsotsos:
Active Control of Camera Parameters for Object Detection Algorithms. CoRR abs/1705.05685 (2017) - [i9]Paria Mehrani, Andrei Mouraviev, Oscar J. Avella Gonzalez, John K. Tsotsos:
Color-opponent mechanisms for local hue encoding in a hierarchical framework. CoRR abs/1706.10266 (2017) - [i8]Markus D. Solbach, John K. Tsotsos:
Vision-Based Fallen Person Detection for the Elderly. CoRR abs/1707.07608 (2017) - [i7]Mahdi Biparva, John K. Tsotsos:
STNet: Selective Tuning of Convolutional Networks for Object Localization. CoRR abs/1708.06418 (2017) - [i6]Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos:
Priming Neural Networks. CoRR abs/1711.05918 (2017) - [i5]Iuliia Kotseruba, John K. Tsotsos:
STAR-RT: Visual attention for real-time video game playing. CoRR abs/1711.09464 (2017) - [i4]Calden Wloka, Iuliia Kotseruba, John K. Tsotsos:
Saccade Sequence Prediction: Beyond Static Saliency Maps. CoRR abs/1711.10959 (2017) - 2016
- [j51]Ioannis Kostavelis, Konstantinos Charalampous, Antonios Gasteratos, John K. Tsotsos:
Robot navigation via spatial and temporal coherent semantic maps. Eng. Appl. Artif. Intell. 48: 173-187 (2016) - [j50]Bo Wang, John K. Tsotsos:
Dynamic label propagation for semi-supervised multi-class multi-label classification. Pattern Recognit. 52: 75-84 (2016) - [c95]Amir Rasouli, John K. Tsotsos:
Sensor Planning for 3D Visual Search with Task Constraints. CRV 2016: 37-44 - [c94]Raghavender Sahdev, John K. Tsotsos:
Indoor Place Recognition System for Localization of Mobile Robots. CRV 2016: 53-60 - [c93]Calden Wloka, John K. Tsotsos:
Spatially Binned ROC: A Comprehensive Saliency Metric. CVPR 2016: 525-534 - [i3]Ruzena Bajcsy, Yiannis Aloimonos, John K. Tsotsos:
Revisiting Active Perception. CoRR abs/1603.02729 (2016) - [i2]Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos:
Joint Attention in Autonomous Driving (JAAD). CoRR abs/1609.04741 (2016) - [i1]Iuliia Kotseruba, Oscar J. Avella Gonzalez, John K. Tsotsos:
A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications. CoRR abs/1610.08602 (2016) - 2014
- [c92]Amir Rasouli, John K. Tsotsos:
Visual Saliency Improves Autonomous Visual Search. CRV 2014: 111-118 - 2013
- [j49]Alexander Andreopoulos, John K. Tsotsos:
50 Years of object recognition: Directions forward. Comput. Vis. Image Underst. 117(8): 827-891 (2013) - [j48]Alexander Andreopoulos, John K. Tsotsos:
A Computational Learning Theory of Active Object Recognition Under Uncertainty. Int. J. Comput. Vis. 101(1): 95-142 (2013) - [c91]Xun Shi, Bo Wang, John K. Tsotsos:
Early Recurrence Improves Edge Detection. BMVC 2013 - [c90]Bo Wang, Zhuowen Tu, John K. Tsotsos:
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification. ICCV 2013: 425-432 - [p2]Antonio Jose Rodríguez-Sánchez, Gregory Dudek, John K. Tsotsos:
Detecting, Representing and Attending to Visual Shape. Shape Perception in Human and Computer Vision 2013: 429-442 - 2012
- [j47]Ehsan Fazl Ersi, John K. Tsotsos:
Histogram of Oriented Uniform Patterns for robust place recognition and categorization. Int. J. Robotics Res. 31(4): 468-483 (2012) - [j46]Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos:
Hierarchical Classifiers for Robust Topological Robot Localization. J. Intell. Robotic Syst. 68(2): 147-163 (2012) - [j45]Alexander Andreopoulos, John K. Tsotsos:
On Sensor Bias in Experimental Methods for Comparing Interest-Point, Saliency, and Recognition Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 110-126 (2012) - [c89]Xun Shi, John K. Tsotsos:
Improved Edge Representation via Early Recurrent Inhibition. CRV 2012: 40-47 - [c88]Neil D. B. Bruce, Xun Shi, John K. Tsotsos:
Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios. CRV 2012: 117-124 - [c87]Ehsan Fazl Ersi, John K. Tsotsos:
Visual Place Categorization in Indoor Environments. CRV 2012: 448-453 - [c86]Xun Shi, Neil D. B. Bruce, John K. Tsotsos:
Biologically Motivated Local Contextual Modulation Improves Low-Level Visual Feature Representations. ICIAR (1) 2012: 79-88 - [c85]Xun Shi, John K. Tsotsos:
Background subtraction via early recurrence in dynamic scenes. ICPR 2012: 3172-3175 - 2011
- [b2]John K. Tsotsos:
A Computational Perspective on Visual Attention. MIT Press 2011, ISBN 978-0-262-01541-7, pp. I-XVI, 1-308 - [j44]Neil D. B. Bruce, John K. Tsotsos:
Visual Representation Determines Search Difficulty: Explaining Visual Search Asymmetries. Frontiers Comput. Neurosci. 5: 33 (2011) - [j43]John K. Tsotsos, Albert L. Rothenstein:
Computational models of visual attention. Scholarpedia 6(1): 6201 (2011) - [j42]Alexander Andreopoulos, Stephan Hasler, Heiko Wersing, Herbert Janssen, John K. Tsotsos, Edgar Körner:
Active 3D Object Localization Using a Humanoid Robot. IEEE Trans. Robotics 27(1): 47-64 (2011) - [c84]Neil D. B. Bruce, Xun Shi, Evgueni Simine, John K. Tsotsos:
Visual Representation in the Determination of Saliency. CRV 2011: 242-249 - [c83]Xun Shi, Neil D. B. Bruce, John K. Tsotsos:
Fast, recurrent, attentional modulation improves saliency representation and scene recognition. CVPR Workshops 2011: 1-8 - [c82]Antonio Jose Rodríguez-Sánchez, John K. Tsotsos:
The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations. CVPR 2011: 465-469 - 2010
- [j41]Ksenia Shubina, John K. Tsotsos:
Visual search for an object in a 3D environment using a mobile robot. Comput. Vis. Image Underst. 114(5): 535-547 (2010) - [j40]Giorgio Metta, Gordon Cheng, Tamim Asfour, Barbara Caputo, John K. Tsotsos:
Guest Editorial Representations and Architectures for Cognitive Systems. IEEE Trans. Auton. Ment. Dev. 2(4): 265-266 (2010) - [c81]Ehsan Fazl Ersi, John K. Tsotsos:
Robot Localization in Rough Terrains: Performance Evaluation. CRV 2010: 245-252 - [c80]Ehsan Fazl Ersi, John K. Tsotsos:
Energy minimization via graph cuts for semantic place labeling. IROS 2010: 5947-5952
2000 – 2009
- 2009
- [j39]Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos:
Detecting motion patterns via direction maps with application to surveillance. Comput. Vis. Image Underst. 113(2): 291-307 (2009) - [j38]Nathan Mekuz, Christian Bauckhage, John K. Tsotsos:
Subspace manifold learning with sample weights. Image Vis. Comput. 27(1-2): 80-86 (2009) - [j37]Christian Bauckhage, John K. Tsotsos, Frank E. Bunn:
Automatic detection of abnormal gait. Image Vis. Comput. 27(1-2): 108-115 (2009) - [c79]Ehsan Fazl Ersi, John K. Tsotsos:
Local feature analysis for robust face recognition. CISDA 2009: 1-6 - [c78]Alexander Andreopoulos, John K. Tsotsos:
A theory of active object localization. ICCV 2009: 903-910 - [c77]Ehsan Fazl Ersi, John K. Tsotsos:
Region Classification for Robust Floor Detection in Indoor Environments. ICIAR 2009: 717-726 - [c76]Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos:
Hierarchical appearance-based classifiers for qualitative spatial localization. IROS 2009: 3987-3992 - [e4]Lucas Paletta, John K. Tsotsos:
Attention in Cognitive Systems, 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008, Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5395, Springer 2009, ISBN 978-3-642-00581-7 [contents] - 2008
- [j36]Albert L. Rothenstein, Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
Visual Feature Binding within the Selective Tuning Attention Framework. Int. J. Pattern Recognit. Artif. Intell. 22(5): 861-881 (2008) - [j35]Albert L. Rothenstein, John K. Tsotsos:
Attention links sensing to recognition. Image Vis. Comput. 26(1): 114-126 (2008) - [j34]Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos:
Definition and recovery of kinematic features for recognition of American sign language movements. Image Vis. Comput. 26(12): 1650-1662 (2008) - [j33]Alexander Andreopoulos, John K. Tsotsos:
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI. Medical Image Anal. 12(3): 335-357 (2008) - [j32]W. James MacLean, John K. Tsotsos:
Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation. Mach. Vis. Appl. 19(3): 163-179 (2008) - [j31]John K. Tsotsos, Neil D. B. Bruce:
Computational foundations for attentive processes. Scholarpedia 3(12): 6545 (2008) - [c75]Alexander Andreopoulos, John K. Tsotsos:
Active Vision for Door Localization and Door Opening using Playbot: A Computer Controlled Wheelchair for People with Mobility Impairments. CRV 2008: 3-10 - [c74]Ehsan Fazl Ersi, I. Scott MacKenzie, John K. Tsotsos:
slab: smart labeling of family photos through an interactive interface. JCDL 2008: 351-354 - [c73]Neil D. B. Bruce, John K. Tsotsos:
Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency. WAPCV 2008: 98-111 - [e3]Antonios Gasteratos, Markus Vincze, John K. Tsotsos:
Computer Vision Systems, 6th International Conference, ICVS 2008, Santorini, Greece, May 12-15, 2008, Proceedings. Lecture Notes in Computer Science 5008, Springer 2008, ISBN 978-3-540-79546-9 [contents] - 2007
- [j30]Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
Attention and Visual Search. Int. J. Neural Syst. 17(4): 275-288 (2007) - [j29]Ehsan Fazl Ersi, John S. Zelek, John K. Tsotsos:
Robust Face Recognition through Local Graph Matching. J. Multim. 2(5): 31-37 (2007) - [c72]Alexander Andreopoulos, John K. Tsotsos:
Information Fusion for Multi-camera and Multi-body Structure and Motion. ACCV (1) 2007: 385-396 - [c71]Nathan Mekuz, John K. Tsotsos:
Hierarchical Learning of Dominant Constellations for Object Class Recognition. ACCV (1) 2007: 492-501 - [c70]John K. Tsotsos, Antonio Jose Rodríguez-Sánchez, Albert L. Rothenstein, Evgueni Simine:
Different Binding Strategies for the Different Stages of Visual Recognition. BVAI 2007: 150-160 - [c69]Neil D. B. Bruce, Daniel P. Loach, John K. Tsotsos:
Visual Correlates of Fixation Selection: A Look at the Spatial Frequency Domain. ICIP (3) 2007: 289-292 - [c68]Florentin Dorian Vintila, John K. Tsotsos:
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention. WACV 2007: 19 - [c67]Neil D. B. Bruce, John K. Tsotsos:
An Information Theoretic Model of Saliency and Visual Search. WAPCV 2007: 171-183 - [c66]Albert L. Rothenstein, John K. Tsotsos:
Modeling the Dynamics of Feature Binding During Object-Selective Attention. WAPCV 2007: 325-337 - 2006
- [j28]Neil D. B. Bruce, John K. Tsotsos:
A statistical basis for visual field anisotropies. Neurocomputing 69(10-12): 1301-1304 (2006) - [c65]Christian Bauckhage, Thomas Käster, John K. Tsotsos:
Applying Ensembles of Multilinear Classifiers in the Frequency Domain. CVPR (1) 2006: 95-102 - [c64]Nathan Mekuz, John K. Tsotsos:
Parameterless Isomap with Adaptive Neighborhood Selection. DAGM-Symposium 2006: 364-373 - [c63]John K. Tsotsos:
Cognitive Vision Needs Attention to Link Sensing with Recognition. Cognitive Vision Systems 2006: 25-35 - [c62]John K. Tsotsos:
Localization of Attended Multi-feature Stimuli: Tracing Back Feed-Forward Activation Using Localized Saliency Computations. ICANN (2) 2006: 471-480 - [c61]Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
Feature Conjunctions in Visual Search. ICANN (2) 2006: 498-507 - [c60]Albert L. Rothenstein, Andrei Zaharescu, John K. Tsotsos:
Second-Order (Non-Fourier) Attention-Based Face Detection. ICANN (2) 2006: 518-527 - [c59]Albert L. Rothenstein, John K. Tsotsos:
Selective Tuning: Feature Binding Through Selective Attention. ICANN (2) 2006: 548-557 - [c58]Nathan Mekuz, Konstantinos G. Derpanis, John K. Tsotsos:
Adaptive Step Size Window Matching for Detection. ICPR (2) 2006: 259-262 - 2005
- [j27]John K. Tsotsos, Yueju Liu, Julio C. Martinez-Trujillo, Marc Pomplun, Evgueni Simine, Kunhao Zhou:
Attending to visual motion. Comput. Vis. Image Underst. 100(1-2): 3-40 (2005) - [c57]Christian Bauckhage, John K. Tsotsos:
Separable Linear Classifiers for Online Learning in Appearance Based Object Detection. CAIP 2005: 347-354 - [c56]Alexander Andreopoulos, John K. Tsotsos:
Resampling 4-D Images Using Adaptive Filtering. CRV 2005: 18-26 - [c55]Neil D. B. Bruce, John K. Tsotsos:
An Attentional Framework for Stereo Vision. CRV 2005: 88-95 - [c54]Markus Latzel, Emilie Darcourt, John K. Tsotsos:
People Tracking using Robust Motion Detection and Estimation. CRV 2005: 270-275 - [c53]Christian Bauckhage, John K. Tsotsos, Frank E. Bunn:
Detecting Abnormal Gait. CRV 2005: 282-288 - [c52]Nathan Mekuz, Christian Bauckhage, John K. Tsotsos:
Face Recognition with Weighted Locally Linear Embedding. CRV 2005: 290-296 - [c51]Christian Bauckhage, John K. Tsotsos:
Separable Linear Discriminant Classification. DAGM-Symposium 2005: 318-325 - [c50]Erich T. H. Leung, John K. Tsotsos:
Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images. ICCV 2005: 1739-1746 - [c49]Christian Bauckhage, John K. Tsotsos:
Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection. ICIAR 2005: 456-463 - [c48]Christian Bauckhage, John K. Tsotsos:
Bounding box splitting for robust shape classification. ICIP (2) 2005: 478-481 - [c47]Neil D. B. Bruce, John K. Tsotsos:
Saliency Based on Information Maximization. NIPS 2005: 155-162 - [c46]Alexander Andreopoulos, John K. Tsotsos:
A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation. SCIA 2005: 729-739 - [c45]Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos:
Detecting Motion Patterns via Direction Maps with Application to Surveillance. WACV/MOTION 2005: 202-209 - 2004
- [c44]John K. Tsotsos, Marc Pomplun, Julio C. Martinez-Trujillo, Kunhao Zhou:
Attending to Visual Motion: Localizing and Classifying Affine Motion Patterns. CRV 2004: 452-462 - [c43]Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos:
Hand Gesture Recognition within a Linguistics-Based Framework. ECCV (1) 2004: 282-296 - [c42]Andrei Zaharescu, Albert L. Rothenstein, John K. Tsotsos:
Towards a Biologically Plausible Active Visual Search Model. WAPCV 2004: 133-147 - [c41]Albert L. Rothenstein, Andrei Zaharescu, John K. Tsotsos:
TarzaNN: A General Purpose Neural Network Simulator for Visual Attention Modeling. WAPCV 2004: 159-167 - [e2]Lucas Paletta, John K. Tsotsos, Erich Rome, Glyn W. Humphreys:
Attention and Performance in Computational Vision, Second International Workshop, WAPCV 2004, Prague, Czech Republic, May 15, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3368, Springer 2004, ISBN 3-540-24421-2 [contents] - 2002
- [c40]John K. Tsotsos, Marc Pomplun, Yueju Liu, Julio C. Martinez-Trujillo, Evgueni Simine:
Attending to Motion: Localizing and Classifying Motion Patterns in Image Sequences. Biologically Motivated Computer Vision 2002: 439-452 - 2001
- [j26]Yiming Ye, John K. Tsotsos:
A Complexity-Level Analysis of the Sensor Planning Task for Object Search. Comput. Intell. 17(3): 605-620 (2001) - [j25]John K. Tsotsos:
Motion Understanding: Task-Directed Attention and Representations that Link Perception with Action. Int. J. Comput. Vis. 45(3): 265-280 (2001) - [j24]Yiming Ye, John K. Tsotsos:
Knowledge Granularity Spectrum, Action Pyramid, and the Scaling Problem. Int. J. Pattern Recognit. Artif. Intell. 15(3): 379-404 (2001) - [j23]Rainer Herpers, Konstantinos G. Derpanis, W. James MacLean, Gilbert Verghese, Michael R. M. Jenkin, Evangelos E. Milios, Allan D. Jepson, John K. Tsotsos:
SAVI: an actively controlled teleconferencing system. Image Vis. Comput. 19(11): 793-804 (2001) - [j22]Yiming Ye, Stephen J. Boies, P. Y. Huang, John K. Tsotsos:
Agents-supported adaptive group awareness: smart distance and WWWaware. IEEE Trans. Syst. Man Cybern. Part A 31(5): 369-380 (2001) - [c39]Yiming Ye, Stephen J. Boies, Paul Huang, John K. Tsotsos:
Smart distance and WWWaware: a multi-agent approach. Agents 2001: 176-177 - [c38]Bill Kapralos, Michael R. M. Jenkin, Evangelos E. Milios, John K. Tsotsos:
Eyes 'n ears face detection. ICIP (1) 2001: 66-69 - [c37]Markus Latzel, John K. Tsotsos:
A robust motion detection and estimation filter for video signals. ICIP (1) 2001: 381-384 - 2000
- [j21]Yiming Ye, John K. Tsotsos, Eric Harley, Karen Bennet:
Tracking a person with pre-recorded image database and a pan, tilt, and zoom camera. Mach. Vis. Appl. 12(1): 32-43 (2000) - [c36]W. James MacLean, John K. Tsotsos:
Fast Pattern Recognition Using Gradient-Descent Search in an Image Pyramid. ICPR 2000: 2873-2877
1990 – 1999
- 1999
- [j20]Yiming Ye, John K. Tsotsos:
Sensor Planning for 3D Object Search, . Comput. Vis. Image Underst. 73(2): 145-168 (1999) - [j19]Sven J. Dickinson, David Wilkes, John K. Tsotsos:
A Computational Model of View Degeneracy. IEEE Trans. Pattern Anal. Mach. Intell. 21(8): 673-689 (1999) - [c35]Yiming Ye, John K. Tsotsos:
Knowledge Granularity for Task Oriented Agents. Agents 1999: 424-425 - 1998
- [j18]Pietro Parodi, R. Lancewicki, A. Vijh, John K. Tsotsos:
Empirically-Derived Estimates of the Complexity of Labeling Line Drawings of Polyhedral Scenes. Artif. Intell. 105(1-2): 47-75 (1998) - [j17]John K. Tsotsos, Gilbert Verghese, Sven J. Dickinson, Michael R. M. Jenkin, Allan D. Jepson, Evangelos E. Milios, Fernando Nuflo, Suzanne Stevenson, Michael J. Black, Dimitris N. Metaxas:
PLAYBOT A visually-guided robot for physically disabled children. Image Vis. Comput. 16(4): 275-292 (1998) - [j16]S. B. Nickerson, Piotr Jasiobedzki, David Wilkes, Michael R. M. Jenkin, Evangelos E. Milios, John K. Tsotsos, Allan D. Jepson, O. N. Bains:
The ARK project: Autonomous mobile robots for known industrial environments. Robotics Auton. Syst. 25(1-2): 83-104 (1998) - [c34]Yiming Ye, John K. Tsotsos, Karen Bennet, Eric Harley:
Tracking a Person with Pre-recorded Image Database and a Pan, Tilt, and Zoom Camera. ACCV (2) 1998: 575-582 - [c33]Yiming Ye, John K. Tsotsos:
Knowledge Granularity and Action Selection. AIMSA 1998: 475-488 - 1997
- [j15]Sven J. Dickinson, Henrik I. Christensen, John K. Tsotsos, Göran Olofsson:
Active Object Recognition Integrating Attention and Viewpoint Control. Comput. Vis. Image Underst. 67(3): 239-260 (1997) - [j14]Gregory Dudek, John K. Tsotsos:
Shape Representation and Recognition from Multiscale Curvature. Comput. Vis. Image Underst. 68(2): 170-189 (1997) - [j13]John K. Tsotsos:
Intelligent control for perceptually attentive agents: The S* proposal. Robotics Auton. Syst. 21(1): 5-21 (1997) - [c32]Yiming Ye, John K. Tsotsos:
Knowledge Difference and its Influence on a Search Agent. Agents 1997: 67-74 - 1996
- [j12]Niels da Vitoria Lobo, John K. Tsotsos:
Computing Egomotion and Detecting Independent Motion from Image Motion Using Collinear Points. Comput. Vis. Image Underst. 64(1): 21-52 (1996) - [c31]Yiming Ye, John K. Tsotsos:
A robot agent that can search. CASCON 1996: 39 - [c30]Yiming Ye, John K. Tsotsos, Karen Bennet:
Live WWW and its agents: the CAS-LWWW project. CASCON 1996: 40 - [c29]Yiming Ye, John K. Tsotsos:
On the Collaborative Object Search Team: A Formulation. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 94-116 - 1995
- [j11]John K. Tsotsos:
Behaviorist Intelligence and the Scaling Problem. Artif. Intell. 75(2): 135-160 (1995) - [j10]John K. Tsotsos, Sean M. Culhane, Winky Yan Kei Wai, Yuzhong Lai, Neal Davis, Fernando Nuflo:
Modeling Visual Attention via Selective Tuning. Artif. Intell. 78(1-2): 507-545 (1995) - [c28]David Wilkes, Sven J. Dickinson, John K. Tsotsos:
A Quantitative Analysis of View Degeneracy and its use for Active Focal Length control. ICCV 1995: 938-944 - [c27]Gilbert Verghese, John K. Tsotsos:
The role of feature visibility constraints in perspective alignment. ICIP 1995: 386-389 - [p1]Gilbert Verghese, John K. Tsotsos:
Real-time Model-based Tracking Using Perspective Alignment: Parallel Implementation and Stability Analysis. Research in Computer and Robot Vision 1995: 291-311 - 1994
- [c26]Michael R. M. Jenkin, John K. Tsotsos:
Active stereo vision and cyclotorsion. CVPR 1994: 806-811 - [c25]Sven J. Dickinson, Henrik I. Christensen, John K. Tsotsos, Göran Olofsson:
Active Object Recognition Integrating Attention and Viewpoint Control. ECCV (2) 1994: 3-14 - [c24]Winky Yan Kei Wai, John K. Tsotsos:
Directing attention to onset and offset of image events for eye-head movement control. ICPR (1) 1994: 274-279 - [c23]Michael R. M. Jenkin, John K. Tsotsos, Gregory Dudek:
The horoptor and active cyclotorsion. ICPR (1) 1994: 707-710 - [c22]Michael R. M. Jenkin, N. Bains, J. Bruce, T. Campbell, Brian Down, Piotr Jasiobedzki, Allan D. Jepson, B. Majarais, Evangelos E. Milios, S. B. Nickerson, James R. R. Service, Demetri Terzopoulos, John K. Tsotsos, David Wilkes:
ARK: autonomous mobile robot for an industrial environment. IROS 1994: 1301-1308 - 1993
- [j9]Evangelos E. Milios, Michael R. M. Jenkin, John K. Tsotsos:
Design and Performance of Trish, a Binocular Robot Head with Torsional Eye Movements. Int. J. Pattern Recognit. Artif. Intell. 7(1): 51-68 (1993) - [c21]David Wilkes, John K. Tsotsos:
Efficient serial associative memory. CVPR 1993: 701-702 - [c20]Michael Jenkin, Evangelos E. Milios, John K. Tsotsos, Brian Down:
A Binocular Robotic Head System with Torsional Eye Movements. ICRA (2) 1993: 776-781 - 1992
- [j8]John K. Tsotsos:
On the relative complexity of active vs. passive visual search. Int. J. Comput. Vis. 7(2): 127-141 (1992) - [c19]David Wilkes, John K. Tsotsos:
Active object recognition. CVPR 1992: 136-141 - [c18]Sean M. Culhane, John K. Tsotsos:
An Attentional Prototype for Early Vision. ECCV 1992: 551-560 - [c17]Sean M. Culhane, John K. Tsotsos:
A prototype for data-driven visual attention. ICPR (1) 1992: 36-40 - 1991
- [j7]Michael R. M. Jenkin, Allan D. Jepson, John K. Tsotsos:
Techniques for disparity measurement. CVGIP Image Underst. 53(1): 14-30 (1991) - [c16]Gregory Dudek, John K. Tsotsos:
Shape representation and recognition from curvature. CVPR 1991: 35-41 - [c15]Niels da Vitoria Lobo, John K. Tsotsos:
Using collinear points to compute egomotion and detect nonrigidity. CVPR 1991: 344-350 - 1990
- [j6]John L. Barron, Allan D. Jepson, John K. Tsotsos:
The feasibility of motion and structure from noisy time-varying image velocity information. Int. J. Comput. Vis. 5(3): 239-269 (1990) - [c14]Niels da Vitoria Lobo, John K. Tsotsos:
Shape from Binocular Disparity and Incomplete Knowledge of Baseline Parameters. ECAI 1990: 201-203 - [c13]Gregory Dudek, John K. Tsotsos:
Recognizing planar curves using curvature-tuned smoothing. ICPR (1) 1990: 130-135
1980 – 1989
- 1989
- [c12]John K. Tsotsos:
The Complexity of Perceptual Search Tasks. IJCAI 1989: 1571-1577 - 1988
- [c11]John L. Barron, Allan D. Jepson, John K. Tsotsos:
The Feasibility Of Motion And Structure Computations. ICCV 1988: 651-657 - 1987
- [c10]John L. Barron, Allan D. Jepson, John K. Tsotsos:
The Sensitivity of Motion and Structure Computations. AAAI 1987: 700-705 - [c9]Ron Gershon, Allan D. Jepson, John K. Tsotsos:
The Use of Color in Highlight Identification. IJCAI 1987: 752-754 - [c8]Ron Gershon, Allan D. Jepson, John K. Tsotsos:
From [R, G, B] to Surface Reflectance: Computing Color Constant Descriptors in Images. IJCAI 1987: 755-758 - [c7]John L. Barron, Allan D. Jepson, John K. Tsotsos:
Determination of Egomotion and Environmental Layout from Noisy Time-Varying Image Velocity in Binocular Image Sequences. IJCAI 1987: 822-825 - 1986
- [j5]Michael Jenkin, John K. Tsotsos:
Applying temporal constraints to the dynamic stereo problem. Comput. Vis. Graph. Image Process. 33(1): 16-32 (1986) - [c6]John K. Tsotsos:
The scope of research on motion: sensations, perception, representation and generation. Workshop on Motion 1986: 20-25 - [e1]Norman I. Badler, John K. Tsotsos:
Proceedings of the ACM SIGGRAPH/SIGART Interdisciplinary Workshop on Motion: Representation and Perception, Toronto, Ontario, Canada, 1986. Elsevier North-Holland 1986, ISBN 978-0-444-01079-7 [contents] - 1985
- [j4]John K. Tsotsos:
Knowledge organization and its role in representation and interpretation for time-varying data: the ALVEN system. Comput. Intell. 1: 16-32 (1985) - 1984
- [j3]John K. Tsotsos:
Knowledge and the visual process: Content, form and use. Pattern Recognit. 17(1): 13-27 (1984) - 1983
- [j2]John Mylopoulos, Tetsutaro Shibahara, John K. Tsotsos:
Building Knowledge-Based Systems: The PSN Experience. Computer 16(10): 83-89 (1983) - [c5]Tetsutaro Shibahara, John K. Tsotsos, John Mylopoulos, H. Dominic Covvey:
CAA: A Knowledge Based System Using Causal Knowledge to Diagnose Cardiac Rhythm Disorders. IJCAI 1983: 242-245 - 1981
- [c4]John K. Tsotsos:
Temporal Event Recognition: An Application to Left Ventricular Performance. IJCAI 1981: 900-907 - 1980
- [b1]John K. Tsotsos:
A framework for visual motion understanding. University of Toronto, Canada, 1980
1970 – 1979
- 1979
- [c3]John K. Tsotsos, John Mylopoulos, H. Dominic Cowey, Steven W. Zucker:
ALVEN: A Study on Motion Understanding by Computer. IJCAI 1979: 890-892 - 1977
- [c2]John K. Tsotsos:
Some Notes on Motion Understanding. IJCAI 1977: 611 - [c1]John K. Tsotsos:
Knowledge-Base Driven Analysis of Cinecardioangiograms. IJCAI 1977: 699 - 1976
- [j1]John Mylopoulos, Alexander Borgida, Phil Cohen, Nick Roussopoulos, John K. Tsotsos, Harry K. T. Wong:
TORUS: a step towards bridging the gap between data bases and the casual user. Inf. Syst. 2(2): 49-64 (1976)
Coauthor Index
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