John K. Tsotsos

ORCID

Publication Activity (10 Years)

Years Active: 1976-2024
Publications (10 Years): 97

Top Venues

CoRR

CRV

ICCV Workshops

Publications

Iuliia Kotseruba, John K. Tsotsos
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction. CoRR (2024)
Iuliia Kotseruba, John K. Tsotsos
Data Limitations for Modeling Top-Down Effects on Drivers' Attention. CoRR (2024)
Iuliia Kotseruba, John K. Tsotsos
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction. IV (2024)
Iuliia Kotseruba, John K. Tsotsos
Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation. IV (2024)
Iuliia Kotseruba, John K. Tsotsos
Data Limitations for Modeling Top-Down Effects on Drivers' Attention. IV (2024)
Paria Mehrani, John K. Tsotsos
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention. CoRR (2023)
Iuliia Kotseruba, John K. Tsotsos
Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation. CoRR (2023)
Paria Mehrani, John K. Tsotsos
Self-attention in vision transformers performs perceptual grouping, not attention. Frontiers Comput. Sci. 5 (2023)
Markus D. Solbach, John K. Tsotsos
The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving. CoRR (2023)
John K. Tsotsos
When We Study the Ability to Attend, What Exactly Are We Trying to Understand? J. Imaging 8 (8) (2022)
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) (2022)
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) (2022)
Markus D. Solbach, John K. Tsotsos
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks. CoRR (2021)
Iuliia Kotseruba, Manos Papagelis, John K. Tsotsos
Industry and Academic Research in Computer Vision. CoRR (2021)
Iuliia Kotseruba, John K. Tsotsos
Behavioral Research and Practical Models of Drivers' Attention. CoRR (2021)
Paria Mehrani, John K. Tsotsos
Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain. CoRR (2021)
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 (2021)
Markus D. Solbach, John K. Tsotsos
Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested. CoRR (2021)
Mahdi Biparva, David Fernández Llorca, Rubén Izquierdo Gonzalo, John K. Tsotsos
Video action recognition for lane-change classification and prediction of surrounding vehicles. CoRR (2021)
John K. Tsotsos, Jun Luo
Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment. CoRR (2021)
Markus D. Solbach, John K. Tsotsos
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks. ICCVW (2021)
John K. Tsotsos, Omar Abid, Iuliia Kotseruba, Markus D. Solbach
On the Control of Attentional Processes in Vision. CoRR (2021)
Markus D. Solbach, John K. Tsotsos
Tracking Active Observers in 3D Visuo-Cognitive Tasks. ETRA Adjunct (2021)
Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos
Benchmark for Evaluating Pedestrian Action Prediction. WACV (2021)
Mahdi Biparva, John K. Tsotsos
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks. CoRR (2020)
Iuliia Kotseruba, John K. Tsotsos
40 years of cognitive architectures: core cognitive abilities and practical applications. Artif. Intell. Rev. 53 (1) (2020)
Amir Rasouli, John K. Tsotsos
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice. IEEE Trans. Intell. Transp. Syst. 21 (3) (2020)
Mahdi Biparva, John K. Tsotsos
Compact Neural Representation Using Attentive Network Pruning. CoRR (2020)
Markus D. Solbach, John K. Tsotsos
PESAO: Psychophysical Experimental Setup for Active Observers. CoRR (2020)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. CoRR (2020)
Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos
Attention-based active visual search for mobile robots. Auton. Robots 44 (2) (2020)
Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. CoRR (2020)
Amir Rosenfeld, John K. Tsotsos
Incremental Learning Through Deep Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 42 (3) (2020)
Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos
Do They Want to Cross? Understanding Pedestrian Intention for Behavior Prediction. IV (2020)
Mahdi Biparva, John K. Tsotsos
Selective Segmentation Networks Using Top-Down Attention. CoRR (2020)
David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. ITSC (2020)
David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. CoRR (2020)
Calden Wloka, John K. Tsotsos
An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks. CoRR (2020)
John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision. CoRR (2019)
Paria Mehrani, Andrei Mouraviev, John K. Tsotsos
Multiplicative modulations in hue-selective cells enhance unique hue representation. CoRR (2019)
Bao Xin Chen, John K. Tsotsos
Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes. ICCV Workshops (2019)
Amir Rosenfeld, John K. Tsotsos
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing. CRV (2019)
Bao Xin Chen, John K. Tsotsos
Fast Visual Object Tracking with Rotated Bounding Boxes. CoRR (2019)
John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu
Why Does Data-Driven Beat Theory-Driven Computer Vision? ICCV Workshops (2019)
Paria Mehrani, John K. Tsotsos
Early recurrence enables figure border ownership. CoRR (2019)
Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. BMVC (2019)
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, Zhen-Hua 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)
John K. Tsotsos, Iuliia Kotseruba, Calden Wloka
Early Salient Region Selection Does Not Drive Rapid Visual Categorization. CoRR (2019)
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 (2019)
Amir Rosenfeld, Richard S. Zemel, John K. Tsotsos
High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks. CoRR (2019)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. BMVC (2019)
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)
Amir Rosenfeld, John K. Tsotsos
Challenging Images For Minds and Machines. CoRR (2018)
Amir Rasouli, John K. Tsotsos
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice. CoRR (2018)
Raghavender Sahdev, Bao Xin Chen, John K. Tsotsos
Indoor Localization in Dynamic Human Environments Using Visual Odometry and Global Pose Refinement. CRV (2018)
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 (2018)
Calden Wloka, Iuliia Kotseruba, John K. Tsotsos
Active Fixation Control to Predict Saccade Sequences. CVPR (2018)
Amir Rosenfeld, Richard S. Zemel, John K. Tsotsos
The Elephant in the Room. CoRR (2018)
Amir Rasouli, John K. Tsotsos
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice. CoRR (2018)
Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos
Totally Looks Like - How Humans Compare, Compared to Machines. CoRR (2018)
Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos
Totally Looks Like - How Humans Compare, Compared to Machines. CVPR Workshops (2018)
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)
Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos
Priming Neural Networks. CVPR Workshops (2018)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Towards Social Autonomous Vehicles: Understanding Pedestrian-Driver Interactions. ITSC (2018)
Amir Rosenfeld, John K. Tsotsos
Bridging Cognitive Programs and Machine Learning. CoRR (2018)
Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos
Totally Looks Like - How Humans Compare, Compared to Machines. ACCV (1) (2018)
Amir Rosenfeld, John K. Tsotsos
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing. CoRR (2018)
Markus D. Solbach, Stephen Voland, Jeff Edmonds, John K. Tsotsos
Random Polyhedral Scenes: An Image Generator for Active Vision System Experiments. CoRR (2018)
John K. Tsotsos, Iuliia Kotseruba, Amir Rasouli, Markus D. Solbach
Visual Attention and its Intimate Links to Spatial Cognition. CoRR (2018)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Understanding Pedestrian Behavior in Complex Traffic Scenes. IEEE Trans. Intell. Veh. 3 (1) (2018)
Ruzena Bajcsy, Yiannis Aloimonos, John K. Tsotsos
Revisiting active perception. Auton. Robots 42 (2) (2018)
Audrey M. B. Wong-Kee-You, John K. Tsotsos, Scott A. Adler
Development of spatial suppression surrounding the focus of visual attention. CoRR (2018)
Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos
Attention-based Active Visual Search for Mobile Robots. CoRR (2018)
Amir Rasouli, John K. Tsotsos
Integrating Three Mechanisms of Visual Attention for Active Visual Search. CoRR (2017)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Agreeing to cross: How drivers and pedestrians communicate. Intelligent Vehicles Symposium (2017)
Yulong Wu, John K. Tsotsos
Active Control of Camera Parameters for Object Detection Algorithms. CoRR (2017)
Markus D. Solbach, John K. Tsotsos
Vision-Based Fallen Person Detection for the Elderly. CoRR (2017)
Mahdi Biparva, John K. Tsotsos
STNet: Selective Tuning of Convolutional Networks for Object Localization. ICCV Workshops (2017)
Bao Xin Chen, Raghavender Sahdev, John K. Tsotsos
Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot. ICVS (2017)
Mahdi Biparva, John K. Tsotsos
STNet: Selective Tuning of Convolutional Networks for Object Localization. CoRR (2017)
Calden Wloka, Iuliia Kotseruba, John K. Tsotsos
Saccade Sequence Prediction: Beyond Static Saliency Maps. CoRR (2017)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior. ICCV Workshops (2017)
Paria Mehrani, Andrei Mouraviev, Oscar J. Avella Gonzalez, John K. Tsotsos
Color-opponent mechanisms for local hue encoding in a hierarchical framework. CoRR (2017)
Amir Rosenfeld, John K. Tsotsos
Incremental Learning Through Deep Adaptation. CoRR (2017)
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
Agreeing to Cross: How Drivers and Pedestrians Communicate. CoRR (2017)
Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos
Priming Neural Networks. CoRR (2017)
Markus D. Solbach, John K. Tsotsos
Vision-Based Fallen Person Detection for the Elderly. ICCV Workshops (2017)
Amir Rasouli, John K. Tsotsos
The Effect of Color Space Selection on Detectability and Discriminability of Colored Objects. CoRR (2017)
Iuliia Kotseruba, John K. Tsotsos
STAR-RT: Visual attention for real-time video game playing. CoRR (2017)
Bao Xin Chen, Raghavender Sahdev, John K. Tsotsos
Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera. CRV (2017)
Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos
Joint Attention in Autonomous Driving (JAAD). CoRR (2016)
Amir Rasouli, John K. Tsotsos
Sensor Planning for 3D Visual Search with Task Constraints. CRV (2016)
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 (2016)
Ioannis Kostavelis, Konstantinos Charalampous, Antonios Gasteratos, John K. Tsotsos
Robot navigation via spatial and temporal coherent semantic maps. Eng. Appl. Artif. Intell. 48 (2016)
Raghavender Sahdev, John K. Tsotsos
Indoor Place Recognition System for Localization of Mobile Robots. CRV (2016)
Ruzena Bajcsy, Yiannis Aloimonos, John K. Tsotsos
Revisiting Active Perception. CoRR (2016)
Bo Wang, John K. Tsotsos
Dynamic label propagation for semi-supervised multi-class multi-label classification. Pattern Recognit. 52 (2016)
Amir Rasouli, John K. Tsotsos
Visual Saliency Improves Autonomous Visual Search. CRV (2014)
Xun Shi, Bo Wang, John K. Tsotsos
Early Recurrence Improves Edge Detection. BMVC (2013)
Alexander Andreopoulos, John K. Tsotsos
A Computational Learning Theory of Active Object Recognition Under Uncertainty. Int. J. Comput. Vis. 101 (1) (2013)

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Publication Activity (10 Years)

Top Topics

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John K. Tsotsos