Publications

Results at Google Scholar

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

2024

[P6]
A. Szot, B. Mazoure, O. Attia, A. Timofeev, H. Agrawal, D. Hjelm, Z. Gan, Z. Kira, and Alexander Toshev
"From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons"
arXiv:2412.08442 [arxiv]
[P5]
A. Elawady, G. Chhablani, R. Ramrakhya, K. Yadav, D. Batra, Z. Kira, and A. Szot
"ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI"
arXiv:2410.02751 [arxiv]
[P4]
M.Z. Irshad, M. Comi, Y.C. Lin, N. Heppert, A. Valada, R. Ambrus, Z. Kira, and J. Tremblay
"Neural Fields in Robotics: A Survey"
arXiv:2410.20220 [arxiv]
[C80]
NeurIPS
A. Szot, B. Mazoure, H. Agrawal, D. Hjelm, Z. Kira, and A. Toshev
"Grounding Multimodal Large Language Models in Actions"
Conference on Neural Information Processing Systems (NeurIPS) [arxiv]
[C79]
NeurIPS
G. Gupta, K. Yadav, Y. Gal, D. Batra, Z. Kira, C. Lu, and T.G.J. Rudner
"Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control"
Conference on Neural Information Processing Systems (NeurIPS) [arxiv]
Also in CVPR Workshops 2024: Workshop on Reliable and Responsible Foundation Models and ICRA 2024 VLMNM Workshop, ICLR 2024 Workshop on Reliable and Responsible Foundation Models.
[C78]
NeurIPS
J. Tian, C. Huang, and Z. Kira
"Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models"
Conference on Neural Information Processing Systems (NeurIPS) [arxiv]
[J8]
TMLR
S. Halbe, J.S. Smith, J. Tian, and Z. Kira
"Continual Adaptation of Vision Transformers for Federated Learning"
Transactions on Machine Learning Research (TMLR) [arxiv] [github]
Also in NeurIPS Workshops 2023: Federated Learning in the Age of Foundation Models (Oral) as "HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning".
[C77]
ECCV
A.N. Harish, L. Heck, J.P. Hanna, Z. Kira, and A. Szot
"Reinforcement Learning via Auxiliary Task Distillation"
European Conference on Computer Vision (ECCV) [arxiv]
[C76]
ECCV
M.Z. Irshad, S. Zakahrov, V. Guizilini, A. Gaidon, Z. Kira, and R. Ambrus
"NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields"
European Conference on Computer Vision (ECCV) [arxiv] [project] [github]
[J7]
TMLR
J.S. Smith, Y.C. Hsu, L. Zhang, T. Hua, Z. Kira, Y. Shen, and H. Jin
"Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA"
Transactions on Machine Learning (TMLR) [arxiv]
[W18]
J.S. Smith, L. Valkov, S. Halbe, V. Gutta, R. Feris, Z. Kira, and L. Karlinsky
"Adaptive Memory Replay for Continual Learning"
CVPR Workshops 2024: Efficient Large Vision Models (Spotlight) [arxiv]
[W17]
J.S. Smith, Y.C. Hsu, Z. Kira, Y. Shen, and H. Jin
"Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters"
CVPR Workshops 2024: 2nd Workshop on What is Next in Multimodal Foundation Models [arxiv]
[C75]
CVPR
J. Tian, L. Aggarwal, A. Colaco, Z. Kira, and M. Gonzalez-Franco
"Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion"
Conference on Computer Vision and Pattern Recognition (CVPR) [arxiv] [github]
[C74]
CVPR
R. Ramrakhya, A. Kembhavi, D. Batra, Z. Kira, K.H. Zeng, and L. Weihs
"Seeing the Unseen: Visual Common Sense for Semantic Placement"
Conference on Computer Vision and Pattern Recognition (CVPR). [arxiv] [github]
Also appeared in ICRA 2024 First Workshop on Vision-Language Models for Navigation and Manipulation.
[C73]
CVPR
M. Khanna, R. Ramrakhya, G. Chhablani, S. Yenamandra, T. Gervet, M. Chang, Z. Kira, D.S. Chaplot, D. Batra, R. Mottaghi
"GOAT-Bench: A Benchmark for Multi-modal Lifelong Navigation"
Conference on Computer Vision and Pattern Recognition (CVPR). [arxiv] [project] [github]
[W19]
V. Jaganathan, H.H. Huang, M.Z. Irshad, and Z. Kira
"ICE-G: Image Conditional Editing of 3D Gaussian Splats"
CVPR 2024 Workshops: AI for Content Creation Workshop, 2024. [arxiv]
[C72]
ICRA
M. Lunayach, S. Zakharov, D. Chen, R. Ambrus, Z. Kira, and M.Z. Irshad
"FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects"
International Conference on Robotics and Automation (ICRA) [arxiv] [project]
[C71]
ICRA
N. Glaser and Z. Kira
"N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence"
International Conference on Robotics and Automation (ICRA) [arxiv coming soon]
[C70]
ICLR
X. Puig, E. Undersander, A. Szot, M.D. Cote, T.Y. Yang, R. Partsey, R. Desai, A. Clegg, M. Hlavac, S.Y. Min, V. Vondruš, T. Gervet, V.P. Berges, J.M. Turner, O. Maksymets, Z. Kira, M. Kalakrishnan, J. Malik, D.S. Chaplot, U. Jain, D. Batra, A. Rai, and R. Mottaghi
"Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots"
International Conference on Learning Representations (ICLR) [arxiv] [project]

2023

[P3]
Y. Hu, Q. Xie, V. Jain, J. Francis, J. Patrikar, N. Keetha, S. Kim, Y. Xie, T. Zhang, S. Zhao, Y. Chong, C. Wang, K. Sycara, M. Johnson-Roberson, D. Batra, X. Wang, S. Scherer, Z. Kira, F. Xia, and Y. Bisk
"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis"
arXiv:2312.08782 [arxiv] [project] [github (paper list)]
[C69]
H. Maheshwari, Y.C. Liu, and Z. Kira
"Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"
Winter Conference on Applications of Computer Vision (WACV) [arxiv] [project] [github]
[C68]
R. Liu, S. Khose, J. Xiao, L. Sathidevi, K. Ramnath, Z. Kira, and E. Dyer
"LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration"
Winter Conference on Applications of Computer Vision (WACV) [arxiv]
[C67]
NeurIPS
J. Tian, Y. Liu, J. Smith, Z. Kira
"Fast Trainable Projection for Robust Fine-tuning"
Conference on Neural Information Processing Systems (NeurIPS) [arxiv] [github]
[C66]
NeurIPS
Y. Jain, H. Behl, Z. Kira, V. Vineet
"DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets"
Conference on Neural Information Processing Systems (NeurIPS) [arxiv] [github]
[C65]
NeurIPS
C.H. Chao, W.F. Sun, Y.C. Hsu, Z. Kira, C.Y. Lee
"Training Energy-Based Normalizing Flow with Score-Matching Objectives"
Conference on Neural Information Processing Systems (NeurIPS) [arxiv] [github]
[C64]
CoRL
S. Yenamandra, A. Ramachandran, K. Yadav, A.S. Wang, M. Khanna, T. Gervet, T.Y. Yang, V. Jain, A. Clegg, J.M. Turner, Z. Kira, M. Savva, A.X. Chang, D.S. Chaplot, D. Batra, R. Mottaghi, Y. Bisk, and C. Paxton
"HomeRobot: Open-Vocabulary Mobile Manipulation"
Conference on Robot Learning (CoRL). [arxiv] [github]
[P2]
R. Ouldnoughi, C.W. Kuo, and Z. Kira
"CLIP-GCD: Simple Language Guided Generalized Category Discovery"
arXiv:2305.10420. [arxiv]
[C63]
ICCV
M.Z. Irshad, S. Zakharov, K. Liu, V. Guizilini, T. Kollar, A. Gaidon, R. Ambrus, and Z. Kira
"NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes"
International Conference on Computer Vision (ICCV), 2023. [arxiv] [project] [github]
[W15]
N. Glaser, Z. Kira
"We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving"
ICRA CoPerception: Collaborative Perception and Learning Workshop, 2023. [arxiv]

Second place for Best Paper Award!

[C62]
ICML
A. Szot, U. Jain, Z. Kira, D. Batra, R. Desa, and A. Rai
"Adaptive Coordination in Social Embodied Rearrangement"
International Conference on Machine Learning (ICML), 2023. [arxiv]
[C61]
J. Goschenhofer, B. Bischl, and Z. Kira
"ConstraintMatch for Semi-Constrained Clustering"
International Conference on Neural Networks (IJCNN), 2023. [ieee]
[W14]
J. Smith, J. Tian, S. Halbe, Y.C. Hsu, and Z. Kira
"A Closer Look at Rehearsal-Free Continual Learning"
CVPR Workshop on Continual Learning in Computer Vision (CLVISION), 2023. [arxiv]
[C60]
CVPR
J. Tian, X. Dai, C.Y. Ma, Z. He, Y.C. Liu, and Z. Kira
"Trainable Projected Gradient Method for Robust Fine-tuning"
Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [arxiv] [github]
[C59]
CVPR
J. Smith, L. Karlinsky, V. Gutta, P. Cascante-Bonilla, D. Kim, A. Arbelle, R. Panda, R. Feris, and Z. Kira
"CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [arxiv] [github]
[C58]
CVPR
C. Kuo and Z. Kira
"HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning"
Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [arxiv] [project] [video] [github]
[C57]
CVPR
J. Smith, P. Cascante-Bonilla, A. Arbelle, D. Kim, R. Panda, D. Cox, D. Yang, Z. Kira, R. Feris, and L. Karlinsky
"ConStruct-VL: Data-Free Continual Structured VL Concepts Learning"
Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [arxiv] [github]
[C56]
ICLR
A. Szot, A. Zhang, D. Batra, Z. Kira, and F. Meier
"BC-IRL: Learning Generalizable Reward Functions from Demonstrations"
International Conference on Learning Representations (ICLR), 2023. [arxiv] [openreview]
[C55]
ICRA
N. Glaser, Z. Kira,
"Communication-Critical Planning via Multi-Agent Trajectory Exchange"
International Conference on Robotics and Automation (ICRA), 2023. [arxiv]

2022

[J6]
RA-L
Y. Emam, G. Notomista, P. Glotfelter, Z. Kira, and M. Egerstedt
"Safe Reinforcement Learning using Robust Control Barrier Functions"
IEEE Robotics and Automation Letters, 2022. [arxiv]
[W13]
F. Rahman, O. Mubarek, and Z. Kira,
"On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition"
NeurIPS Workshop on Vision Transformers: Theory and applications, 2022. [arxiv]
[C54]
NeurIPS
Y.C. Liu, C.Y. Ma, Z. He, and Z. Kira,
"Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks"
Neural Information Processing Systems (NeurIPS), 2022. [arxiv] [project]
[C53]
S. Indranil, Z. Daniels, A. Raghavan, J. Hostetler, A. Rahman, M. Placentino, A. Divakaran, R. Corizzo, K. Faber, N. Japkowicz, M. Baron, J. Smith, S. Joshi, Z. Kira, T. Hayes, C. Kanan, and G. Gallardo,
"System Design for an Integrated Lifelong Reinforcement Learning Agent For Real-Time Strategy Games"
International Conference on AI-ML Systems, 2022. [arxiv]
[C52]
C.W. Kuo, J. Hoffman, and Z. Kira,
"Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation"
Winter Conference on Applications of Computer Vision (WACV), 2022. [arxiv]
[C51]
ECCV
M.Z. Irshad, S. Zakharov, R. Ambrus, T. Kollar, Z. Kira, and A. Gaidon
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization"
European Conference on Computer Vision (ECCV), 2022. [arxiv] [projec] [Video] [github]
[C50]
ECCV
Y.C. Liu, C.Y. Ma, X. Dai, J. Tian, P. Vajda, Z. He, and Z. Kira
"Open-Set Semi-Supervised Object Detection"
European Conference on Computer Vision (ECCV), 2022. [arxiv] [project]

Oral presentation

[W12]
M. Lunayach, J. Smith, and Z. Kira
"Lifelong Wandering: A realistic few-shot online continual learning setting"
CVPR Workshop on Continual Learning (CLVISION), 2022. [arxiv]
[J5]
Nature MI
D. Kudithipudi, M. Aguilar-Simon, J. Babb, M. Bazhenov, D. Blackiston, J. Bongard, A.P. Brna, S.C. Raja, N. Cheney, J. Clune, A. Daram, S. Fusi, P. Helfer, L. Kay, N. Ketz, Z. Kira, S. Kolouri, J.L. Krichmar, S. Kriegman, M. Levin, S. Madireddy, S. Manicka, A. Marjaninejad, B. McNaughton, R. Miikkulainen, Z. Navratilova, T. Pandit, A. Parker, P.K. Pilly, S. Risi, T.J. Sejnowski, A. Soltoggio, N. Soures, A.S. Tolias, D. Urbina-Meléndez, F.J. Valero-Cuevas, G.M. van de Ven, J.T. Vogelstein, F. Wang, R. Weiss, A. Yanguas-Gil, X. Zou, H. Siegelmann
"Biological underpinnings for lifelong learning machines"
Nature Machine Intelligence, 2022. [Nature]
[C49]
CVPR
C.W. Kuo, Z. Kira
"Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning "
Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [arxiv] [project] [github]
[C48]
CVPR
Y.C. Liu, C.Y. Ma, Z. Kira
"Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [arxiv] [project] [github]
[C47]
ICRA
J. Tian, N.C. Mithun, Z. Seymour, H.P. Chiu, Z. Kira
"Striking the Right Balance: Recall Loss for Semantic Segmentation"
International Conference on Robotics and Automation (ICRA), 2022. [arxiv] [github]
[C46]
ICRA
M.Z. Irshad, T. Kollar, M. Laskey, K. Stone, Z. Kira
"CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
International Conference on Robotics and Automation (ICRA), 2022. [arxiv] [project] [github]

2021

[C45]
NeurIPS
J. Tian, D. Yung, Y.C. Hsu, Z. Kira
"A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition"
Neural Information Processing Systems (NeurIPS), 2021. [arxiv] [github] [talk]

Spotlight Paper (<3% accept). Also see follow-on preprint.

[C44]
NeurIPS
A. Szot, A. Clegg, E. Undersander, E. Wijmans, Y. Zhao, J. Turner, N. Maestre, M. Mukadam, D. Chaplot, O. Maksymets, A. Gokaslan, V. Vondrus, S. Dharur, F. Meier, W. Galuba, A. Chang, Z. Kira, V. Koltun, J. Malik, M. Savva, D. Batra
"Habitat 2.0: Training Home Assistants to Rearrange their Habitat"
Neural Information Processing Systems (NeurIPS). [arxiv] [project] [video]

Spotlight Paper (<3% accept). Also appears as oral paper in EcoRL NeurIPS workshop.
Press: CNET | TechCrunch | VentureBeat | Wired (ME) | Ynet

[C43]
ICCV
J. Smith, Y.C. Hsu, J. Balloch, Y. Shen, H. Jin, Z. Kira
"Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning"
International Conference on Computer Vision (ICCV), 2021. [arxiv] [github] [project] [talk]
[C42]
IROS
N. Glaser, Y.C.Liu, Z. Kira
"Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking "
International Conference on Intelligent Robots and Systems (IROS), 2021. [arxiv] [talk]
[C41]
IJCNN
J. Smith, J. Balloch, Y.C. Hsu, and Z. Kira
"Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer"
International Conference on Neural Networks (IJCNN), 2021. [arxiv][github] [talk]
[C40]
ICRA
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] [github] [talk]
[J4, C39]
ICRA
RA-L
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] [IEEE] [github]
[C38]
ICLR
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] [talk]

2020

[C37]
NeurIPS
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]
[P1]
N. Somavarapu, C.Y. Ma, and Z. Kira
"Frustratingly Simple Domain Generalization via Image Stylization"
arXiv 2006.11207, 2020. [arxiv] [related talk]
[C36]
ECCV
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]
[C35]
ECCV
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]
[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]
[C34]
CVPR
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]
[C33]
CVPR
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]
[C32]
CVPR
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]
[C31]
ICRA
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]
[C30]
ICRA
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]
[C29]
AAAI
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]

Oral presentation

2019

[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]
[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]
[C28]
ICCV
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).

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]
[C27]
CVPR
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 presentation (5.6% Acceptance)

[C26]
ICRA
A. Daruna, Z. Kira, and S. Chernova,
"RoboCSE: Robot Common Sense Embedding"
IEEE International Conference on Robotics and Auomation (ICRA), 2019. [arxiv]
[J3]
RA-L
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]
[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]
[C25]
ICLR
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]
[C24]
ICLR
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]
ICLR
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]
[C22]
WACV
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].
[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]

2018

[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]
[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]
[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]
CVPR
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]
[C19]
ICLR
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

[R4]
N. Kodali, J. Abernethy, J. Hays, and Z. Kira
"How to Train Your DRAGAN"
[arxiv] [github] (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"
NeurIPS Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. [arxiv]

2016

[C18]
ECCV
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]
[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]
[C17]
ICRA
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.

2015

[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]
ICRA
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 "
SPIE conference on Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 2015.

2014

[C14]
BMVC
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]

Oral presentation (7.7% acceptance)

[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]
IROS
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]
[C12]
ICRA
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]

2012

[C11]
IROS
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]
[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.
[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.
[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.

2010

[Thesis]
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]
[C8]
AAMAS
Kira, Z.
"Inter-Robot Transfer Learning for Perceptual Classification "
9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010. [pdf]

CoTeSys Best Robotics Paper (also nominated for Best Student/Best Paper awards)

[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.
[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.

2009

[C7]
IROS
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]

Best Student Paper award

[C5]
Kira, Z., Potter, M.A., "
Exerting Human Control Over Decentralized Robot Swarms"
4th International Conference on Autonomous Robots and Agents, 2009. [pdf]

2007

[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]
IROS
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]

2006

[C2]
IROS
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]

2004

[R2]
Likhachev, M., Kaess, M., Kira, Z., and R.C. Arkin
"Spatio-Temporal Case Based Reasoning for Efficient Reactive Robot Navigation"
[pdf]
[C1]
IROS
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]
[R1]
Kira, Z., and Ranganathan, A.
"Self Organization in Artificial Intelligence and the Brain"
[pdf]