Publications

Results at Google Scholar

Dissertation

  Kira, Z., Communication and Alignment of Grounded Symbolic Knowledge Among Heterogeneous Robots, Ph.D. Dissertation, College of Computing, Georgia Institute of Technology, May 2010. [pdf]


 

Publications

Legend: P - Preprints/In Submission, J - Journal, C - Conference, W - Workshop or refereed abstract,R - Tech Report

[W8] Y.C. Hsu, Y.C. Liu , and Z. Kira, Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines", accepted to the NIPS Workshop on Continual Learning. [arxiv]
 

[C22] C.W. Kuo, J. Ashmore, D. Huggins, and Z. Kira, Data-Efficient Graph Embedding Learning for PCB Component Detection", accepted to the 2019 IEEE Winter Conf. on Applications of Computer Vision (WACV). [arxiv].
 

[J1] C.Y., Ma M.H. Chen, Z. Kira, and G. AlRegib, "TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition", accepted to the Journal of Signal Processing: Image Communication, 2018. [Journal link][arxiv] [code]
 

[W7] Y.C. Hsu, Z. Lv, J. Schlosser, P. Odom, Z. Kira, A probabilistic constrained clustering for transfer learning and image category discovery", in the 2018 CVPR Deep-Vision Workshop, 2018. [arxiv] [code]
 

[C21] Y.C. Hsu, Z. Xu, Z. Kira, and J. Huang, Learning to Cluster for Proposal-Free Instance Segmentation", accepted to the International Conference on Neural Networks (IJCNN), 2018. [arxiv]
 

[C20] C.Y. Ma, A. Kadav, I. Melvin, Z. Kira, G. AlRegib, and H. Peter Graf, Attend and Interact: Higher-Order Object Interactions for Video Understanding", accepted to the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2018. [arxiv] [blog] [FIVER CVPR Workshop version]
 

[C19] Y.C. Hsu, Z. Lv, Z. Kira, Learning to Cluster in order to Transfer Across Domains and Tasks", accepted to the International Conference on Learning Representations (ICLR), 2018. [arxiv] [code]
 

Top 7% of reviews!

[R4] N. Kodali, J. Abernethy, J. Hays, and Z. Kira, "How to Train Your DRAGAN". [arxiv] [code] (note:retitled)
 

[W6] C.Y. Ma, A. Kadav, I. Melvin, Z. Kira, G. AlRegib, and H. Peter Graf, Grounded Objects and Interactions for Video Captioning", accepted to the NIPS 2017 Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. [arxiv]
 

[C18] Lv, Z., Beall, C., Alcantarilla, P.F., Li, F., Kira, Z., and Dellaert, F., "A Continuous Optimization Approach for Efficient and Accurate Scene Flow", in proceedings of the European Conference on Computer Vision (ECCV), 2016. [arxiv] [project] [KITTI Benchmark]
 

[W5] Hsu, Y.C. and Kira, Z., "Neural network-based clustering using pairwise constraints", in proceedings of the International Conference on Learning Representations Workshop Track (ICLR), 2016. [pdf] [arxiv (extended paper)] [project] [code]
 

[C17] Schlosser, J., Chow, C., and Kira, Z., "Fusing LIDAR and Images for Pedestrian Detection using Convolutional Neural Networks ", in proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2016.
 

[C16] Doshi, J., Kira, Z., and Wagner, A.R., "From Deep Learning to Episodic Memories: Creating Categories of Visual Experiences", in proceedings of the Third Annual Conference on Advances in Cognitive Systems (ACS), 2015. (Based on previous work here.)
 

[C15] Kira, Z., "An Evaluation of Features for Classifier Transfer during Target Handoff Across Aerial and Ground Robots", in proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2015.
 

[W4] Kira, Z., Wagner, A.R, Kennedy, C., Zutty, J., Tuell, G., "STAC: a new fusion model for complex scene characterization and semantic mapping ", in proceedings of the SPIE conference on Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 2015.
[C14] Carlone, L., Alcantarilla, P., Chiu, H., Kira, Z., and Dellaert, F., "Mining Structure Fragments for Smart Bundle Adjustment", in proceedings of the British Machine Vision Conference (BMVC), 2014. [pdf]
 

Accepted for oral presentation
(7.7% acceptance rate)

[R3] Doshi, J., Mason, C., Wagner, A.R., Kira, Z., "Deep Segments: Comparisons between Scenes and their Constituent Fragments using Deep Learning". Georgia Tech technical report, GT-CS-14-07, 2014. [pdf]
 
[C13] Kira, Z., "Transfer of Sparse Coding Representations And Object Classifiers Across Heterogeneous Robots", in proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014. [pdf]
 

[C12] L. Carlone, Z. Kira, C. Beall, V. Indelman, F. Dellaert, "Eliminating Conditionally Independent Sets in Factor Graphs: A Unifying Perspective based on Smart Factors", in proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2014. [pdf]
 

[C11] Kira, Z., Hadsell, R., Salgian, G., and Samarasekera, S., "Long-Range Pedestrian Detection using Stereo and a Cascade of Convolutional Network Classifiers", in proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. [pdf]
 

[W3] Kira, Z., Southall, B., Kuthirummal, S., and Eledath, J., "Multi-Sensor Fusion for Pedestrian Detection on the Move ", in proceedings of the IEEE International Conference on Technologies for Practical Robot Applications (poster), 2012.

[C10]
Hadsell, R., Kira, Z., Wang, W., Precoda, K., "Unsupervised Topic Modeling for Leader Detection in Spoken Discourse", in proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012.
 

[C9] Wang, W., Precoda, K., Hadsell, R., Kira, Z., Richey, C., Jiva, G., "Detecting Leadership and Cohesion in Spoken Interactions", in proceedings the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012.
 
[C8] Kira, Z., "Inter-Robot Transfer Learning for Perceptual Classification ", in proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010. [pdf]
 

Won CoTeSys Best Robotics Paper
(Also nominated for Best Student
Paper / Best Paper Awards)  

[W2] Kira, Z., Collins, T., and Arkin, R.C., "A Design Process for Robot Capabilities and Missions Applied to Microautonomous Platforms ", in proceedings of the SPIE Conference on Micro- and Nanotechnology Sensors, Systems, and Applications II, 2010.
 
[W1] Ulam, P., Kira, Z., Collins, T., and Arkin, R.C., "Mission Specification and Control for Unmanned Aerial and Ground Vehicles for Indoor Target Discovery and Tracking ", in proceedings of the SPIE Conference on Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 2010.
 

 
[C7] Kira, Z., "Transferring Embodied Concepts between Perceptually Heterogeneous Robots", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4650-4656, 2009. [pdf]
 
[C6] Kira, Z., "Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments", in Proceedings of the 22nd International FLAIRS Conference, pp. 57-62, 2009. [pdf]
 

Won Best Student
Paper Award
[C5] Kira, Z., Potter, M.A., "Exerting Human Control Over Decentralized Robot Swarms", in proceedings of the 4th International Conference on Autonomous Robots and Agents, 2009. [pdf]
 
[C4] Kira, Z., Long, K., "Modeling Robot Differences by Leveraging a Physically Shared Context", in L. Berthouze, C.G. Prince, M. Littman, H. Kozima, & C. Balkenius (Eds.), Proceedings of the Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, pp. 53-59, 2007. Sweden: Lund University Cognitive Studies. [pdf]
 
[C3] Kira, Z., "Modeling Cross-Sensory and Sensorimotor Correlations to Detect and Localize Faults in Mobile Robots", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1520-1550, 2007. San Diego, CA, USA. [pdf]
 
[C2] Kira, Z., and Schultz, A.C.,  "Continuous and Embedded Learning for Multi-Agent Systems", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3184-3190, 2006. [pdf]
 
[R2] Likhachev, M., Kaess, M., Kira, Z., and R.C. Arkin "Spatio-Temporal Case Based Reasoning for Efficient Reactive Robot Navigation". [pdf]
 
[C1] Kira, Z. and Arkin, R.C., "Forgetting Bad Behavior: Memory Management for Case-Based Navigation", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3145-3152, 2004. [pdf] [Earlier Tech report]
 
[R1] Kira, Z., and Ranganathan, A., "Self Organization in Artificial Intelligence and the Brain". [pdf]