Publications |
Results at Google Scholar
Legend: P - Preprints/In Submission, J - Journal, C - Conference, W - Workshop or refereed abstract,R - Tech Report
2021 |
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| [C40] |
M.Z. Irshad, C.Y. Ma, and Z. Kira, "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation" International Conference on Robotics and Automation (ICRA), 2021. [arxiv coming soon] [code/dataset coming soon] |
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| [J4,C39] |
J. Chen, Z. Kira, and Y. Cho, "LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation" Robotics and Automation Letters (RA-L) (also accepted to ICRA), 2021. [arxiv coming soon] [code coming soon] |
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| [C38] |
Y.C. Liu, C.Y. Ma, Z. He, C.W. Kuo, K. Chen, P. Zhang, B. Wu, Z. Kira, and P. Vajda "Unbiased Teacher for Semi-Supervised Object Detection" International Conference on Learning Representations (ICLR), 2021. [arxiv] [github] [project] |
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| [P2] |
J. Smith, J. Balloch, Y.C. Hsu, and Z. Kira "Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer" arXiv:2101.09536, 2021. [arxiv] |
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2020 |
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| [C37] |
J. Tian, Y.C. Liu, N. Glaser, Y.C. Hsu, Z. Kira "Posterior Re-calibration for Imbalanced Datasets" Neural Information Processing Systems (NeurIPS), 2020. [arxiv] [github] |
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| [P1] |
N. Somavarapu, C.Y. Ma, and Z. Kira "Frustratingly Simple Domain Generalization via Image Stylization" arXiv 2006.11207, 2020. [arxiv] [related talk] |
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| [C36] |
C.W. Kuo, C.Y Ma, J.B. Huang, and Z. Kira "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning" European Conference on Computer Vision (ECCV), 2020. [arxiv] [project] [github] [related talk] |
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| [C35] |
C.Y. Ma, Y. Kalantidis, G. AlRegib, P. Vajda, M. Rohrbach, and Z. Kira "Learning to Generate Grounded Image Captions without Localization Supervision" European Conference on Computer Vision (ECCV), 2020. [arxiv] [github] [project] |
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| [W11] |
N. Glaser, Yen-Cheng Liu, Junjiao Tian, and Z. Kira "Enhancing Multi-Robot Perception via Learned Data Association" Emerging Learning & Algorithmic Methods for Data Association in Robotics Workshop, ICRA 2020. [pdf] [talk] |
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| [C34] |
Y.C. Liu, J. Tian, N. Glaser, and Z. Kira "When2com: Multi-agent perception via Communication Graph Grouping" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arxiv] [project] [github] |
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| [C33] |
Y.C. Hsu, Y. Shen, H. Jin, and Z. Kira "Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arxiv] |
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| [C32] |
M.H. Chen, B. Li, Y. Bao, G. AlRegib, and Z. Kira "Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arxiv] [github] |
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| [C31] |
J. Tian, W. Cheung, N. Glaser, Y.C. Liu, and Z. Kira "UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation" IEEE International Conference on Robotics and Automation (ICRA), 2020. Also in IROS Workshop on the Importance of Uncertainty in Deep Learning for Robotics, 2019. [arxiv] [github] |
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| [C30] |
Y.C. Liu, J. Tian, C.Y. Ma, N. Glaser, C.W. Kuo, and Z. Kira "Who2com: Collaborative Perception via Learnable Handshake communication" IEEE International Conference on Robotics and Automation (ICRA), 2020. [arxiv] [project] |
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| [C29] |
W. Liu, A. Daruna, Z. Kira, and Sonia Chernova "Path Ranking with Attention to Type Hierarchies" Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2019. [arxiv] |
Accepted as an Oral presentation |
2019 |
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| [W10] |
P. Odom, A. Keech, and Z. Kira, "Sub-Task Discovery with Limited Supervision: A Constrained Clustering Approach" 2nd Learning from Limited Labeled Data (LLD) Workshop ICLR 2019. [openreview] |
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| [W9] |
J. Schlosser, P. Odom, A. Keech, and Z. Kira, "Adaptation to Dangerous Environments Through Automated Reward Shaping" Safe Machine Learning Workshop, ICLR 2019. [pdf] |
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| [C28] |
M.H. Chen, Z. Kira, G. AlRegib, J. Yoo, R. Chen, and J. Zheng "Temporal Attentive Alignment for Large-Scale Video Domain Adaptation" International Conference in Computer Vision (ICCV), 2019. [arxiv] [github] Also appeared in CVPR Workshop on Learning From Unlabeled Videos (LUV) |
Accepted as an Oral presentation! |
| [R5] |
C.W. Kuo, C.Y. Ma, J.B. Huang, and Z. Kira "Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification" arXiv 1906.05202, 2019. [arxiv] [project] |
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| [C27] |
C.Y. Ma, Z. Wu, G. AlRegib, C. Xiong, and Z. Kira "The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [arxiv] [github] [project] |
Oral (5.6% acceptance rate) |
| [C26] |
A. Daruna, Z. Kira, and S. Chernova, "RoboCSE: Robot Common Sense Embedding" IEEE International Conference on Robotics and Auomation (ICRA), 2019. [arxiv] |
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| [J3] |
J. Chen, Y. Cho, and Z. Kira "Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots" IEEE Robotics and Automation Letters (RA-L), 2019. [IEEE] [arxiv] |
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| [J2] |
J. Chen, Z. Kira, and Y. Cho "Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction" ASCE Journal of Computing in Civil Engineering. 2019. [ASCE] |
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| [C25] |
Y.C. Hsu, Z. Lv, J. Schlosser, P. Odom, and Z. Kira "Multi-class classification without multi-class labels " International Conference on Learning Representations (ICLR), 2019. [arxiv] [github] [openreview] |
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| [C24] |
C.Y. Ma, J. Lu, Z. Wu, G. AlRegib, Z. Kira, R. Socher, and C. Xiong "Self-Monitoring Navigation Agent via Auxiliary Progress Estimation" International Conference on Learning Representations (ICLR), 2019. [arxiv] [github] [openreview] |
Top 7% of reviews! |
| [C23] |
W. Chen, Y.C. Liu, Z. Kira, Y.C. Wang, J. Huang "A Closer Look at Few-shot Classification" International Conference on Learning Representations (ICLR), 2019. [project] [github] [openreview] |
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| [C22] |
C.W. Kuo, J. Ashmore, D. Huggins, and Z. Kira "Data-Efficient Graph Embedding Learning for PCB Component Detection" IEEE Winter Conf. on Applications of Computer Vision (WACV), 2019. [arxiv] [project] [dataset]. |
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| [J1] |
C.Y., Ma M.H. Chen, Z. Kira, and G. AlRegib "TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition" Journal of Signal Processing: Image Communication, 2019. [Journal link] [arxiv] [github] |
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2018 |
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| [W8] |
Y.C. Hsu, Y.C. Liu , and Z. Kira "Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines" NeurIPS Workshop on Continual Learning, 2018. [arxiv] [github] |
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| [W7] |
Y.C. Hsu, Z. Lv, J. Schlosser, P. Odom, Z. Kira "A probabilistic constrained clustering for transfer learning and image category discovery" CVPR Deep-Vision Workshop, 2018. [arxiv] [github] |
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| [C21] |
Y.C. Hsu, Z. Xu, Z. Kira, and J. Huang "Learning to Cluster for Proposal-Free Instance Segmentation" International Conference on Neural Networks (IJCNN), 2018. [arxiv] |
Won 2nd place in CVPR lane detection challenge! |
| [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" IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2018. [arxiv] [blog] [FIVER CVPR Workshop version] |
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| [C19] |
Y.C. Hsu, Z. Lv, Z. Kira "Learning to Cluster in order to Transfer Across Domains and Tasks" International Conference on Learning Representations (ICLR), 2018. [arxiv] [github] |
Top 7% of reviews! |
2017 |
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| [R4] |
N. Kodali, J. Abernethy, J. Hays, and Z. Kira "How to Train Your DRAGAN" [arxiv] [github] (note:retitled) |
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| [W6] |
C.Y. Ma, A. Kadav, I. Melvin, Z. Kira, G. AlRegib, and H. Peter Graf Grounded Objects and Interactions for Video Captioning" NeurIPS Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. [arxiv] |
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2016 |
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| [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" European Conference on Computer Vision (ECCV), 2016. [arxiv] [project] [KITTI Benchmark] |
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| [W5] |
Hsu, Y.C. and Kira, Z. "Neural network-based clustering using pairwise constraints" International Conference on Learning Representations Workshop Track (ICLR), 2016. [pdf] [arxiv (extended paper)] [project] [github] |
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| [C17] |
Schlosser, J., Chow, C., and Kira, Z. "Fusing LIDAR and Images for Pedestrian Detection using Convolutional Neural Networks " IEEE International Conference on Robotics and Automation (ICRA), 2016. |
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2015 |
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| [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.) |
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| [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. |
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| [W4] | Kira, Z., Wagner, A.R, Kennedy, C., Zutty, J., Tuell, G., " STAC: a new fusion model for complex scene characterization and semantic mapping " SPIE conference on Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 2015. |
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2014 |
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| [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 |
| [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] |
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| [C13] | Kira, Z., " Transfer of Sparse Coding Representations And Object Classifiers Across Heterogeneous Robots" IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014. [pdf] |
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| [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] |
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2012 |
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| [C11] | Kira, Z., Hadsell, R., Salgian, G., and Samarasekera, S. "Long-Range Pedestrian Detection using Stereo and a Cascade of Convolutional Network Classifiers" IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. [pdf] |
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| [W3] | Kira, Z., Southall, B., Kuthirummal, S., and Eledath, J. "Multi-Sensor Fusion for Pedestrian Detection on the Move " IEEE International Conference on Technologies for Practical Robot Applications (poster), 2012. |
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[C10] |
Hadsell, R., Kira, Z., Wang, W., Precoda, K. " Unsupervised Topic Modeling for Leader Detection in Spoken Discourse" IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012. |
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| [C9] | Wang, W., Precoda, K., Hadsell, R., Kira, Z., Richey, C., Jiva, G. "Detecting Leadership and Cohesion in Spoken Interactions" IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012. |
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Thesis |
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| 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] | ||
2010 |
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| [C8] | Kira, Z. "Inter-Robot Transfer Learning for Perceptual Classification " 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010. [pdf] |
Won CoTeSys Best Robotics Paper |
| [W2] | Kira, Z., Collins, T., and Arkin, R.C. "A Design Process for Robot Capabilities and Missions Applied to Microautonomous Platforms " SPIE Conference on Micro- and Nanotechnology Sensors, Systems, and Applications II, 2010. |
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| [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 " SPIE Conference on Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 2010. |
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2009 |
[C7] | Kira, Z., " Transferring Embodied Concepts between Perceptually Heterogeneous Robots" 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" Proceedings of the 22nd International FLAIRS Conference, pp. 57-62, 2009. [pdf] |
Won Best Student |
| [C5] | Kira, Z., Potter, M.A., " Exerting Human Control Over Decentralized Robot Swarms" 4th International Conference on Autonomous Robots and Agents, 2009. [pdf] |
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2007 |
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| [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] |
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| [C3] | Kira, Z. "Modeling Cross-Sensory and Sensorimotor Correlations to Detect and Localize Faults in Mobile Robots" Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1520-1550, 2007. San Diego, CA, USA. [pdf] |
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2006 |
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| [C2] | Kira, Z., and Schultz, A.C., "Continuous and Embedded Learning for Multi-Agent Systems" IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3184-3190, 2006. [pdf] |
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2004 |
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| [R2] | Likhachev, M., Kaess, M., Kira, Z., and R.C. Arkin "Spatio-Temporal Case Based Reasoning for Efficient Reactive Robot Navigation" [pdf] |
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| [C1] | Kira, Z. and Arkin, R.C. "Forgetting Bad Behavior: Memory Management for Case-Based Navigation" Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3145-3152, 2004. [pdf] [Earlier Tech report] |
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| [R1] | Kira, Z., and Ranganathan, A. "Self Organization in Artificial Intelligence and the Brain" [pdf] |
