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2020 – today
- 2022
[i50]Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira:
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. CoRR abs/2203.01929 (2022)- [i49]Yen-Chang Hsu, James Smith, Yilin Shen, Zsolt Kira, Hongxia Jin:
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR abs/2203.10163 (2022) - [i48]James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CoRR abs/2203.17269 (2022) - [i47]Chia-Wen Kuo, Zsolt Kira:
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. CoRR abs/2205.04363 (2022) - 2021
- [j3]Jingdao Chen
, Zsolt Kira, Yong Kwon Cho:
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. IEEE Robotics Autom. Lett. 6(2): 2799-2806 (2021) - [c44]James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira:
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. ICCV 2021: 9354-9364 - [c43]Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda:
Unbiased Teacher for Semi-Supervised Object Detection. ICLR 2021 - [c42]Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira:
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. ICRA 2021: 13238-13246 - [c41]James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira:
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. IJCNN 2021: 1-8 - [c40]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS 2021: 2406-2413 - [c39]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS 2021: 251-266 - [c38]Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira:
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. NeurIPS 2021: 26358-26369 - [i46]James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira:
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. CoRR abs/2101.09536 (2021) - [i45]Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda:
Unbiased Teacher for Semi-Supervised Object Detection. CoRR abs/2102.09480 (2021) - [i44]Jingdao Chen, Zsolt Kira, Yong Kwon Cho:
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. CoRR abs/2103.09160 (2021) - [i43]Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira:
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. CoRR abs/2104.10674 (2021) - [i42]James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira:
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. CoRR abs/2106.09701 (2021) - [i41]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR abs/2106.14405 (2021) - [i40]Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira:
Striking the Right Balance: Recall Loss for Semantic Segmentation. CoRR abs/2106.14917 (2021) - [i39]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Enhancing Multi-Robot Perception via Learned Data Association. CoRR abs/2107.00769 (2021) - [i38]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. CoRR abs/2107.00771 (2021) - [i37]Yousef Emam, Paul Glotfelter, Zsolt Kira, Magnus Egerstedt:
Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions. CoRR abs/2110.05415 (2021) - [i36]Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira:
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. CoRR abs/2110.14577 (2021) - [i35]Junjiao Tian, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. CoRR abs/2110.15231 (2021) - 2020
- [c37]Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova:
Path Ranking with Attention to Type Hierarchies. AAAI 2020: 2893-2900 - [c36]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CVPR 2020: 4105-4114 - [c35]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. CVPR 2020: 9451-9460 - [c34]Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. CVPR 2020: 10948-10957 - [c33]Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira:
Learning to Generate Grounded Visual Captions Without Localization Supervision. ECCV (18) 2020: 353-370 - [c32]Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira:
FeatMatch: Feature-Based Augmentation for Semi-supervised Learning. ECCV (18) 2020: 479-495 - [c31]Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ICRA 2020: 5716-5723 - [c30]Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. ICRA 2020: 6876-6883 - [c29]Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira:
Posterior Re-calibration for Imbalanced Datasets. NeurIPS 2020 - [i34]Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data. CoRR abs/2002.11297 (2020) - [i33]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. CoRR abs/2003.02824 (2020) - [i32]Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. CoRR abs/2003.09575 (2020) - [i31]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CoRR abs/2006.00176 (2020) - [i30]Nathan Somavarapu, Chih-Yao Ma, Zsolt Kira:
Frustratingly Simple Domain Generalization via Image Stylization. CoRR abs/2006.11207 (2020) - [i29]Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira:
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning. CoRR abs/2007.08505 (2020) - [i28]Benjamin Wilson, Zsolt Kira, James Hays:
3D for Free: Crossmodal Transfer Learning using HD Maps. CoRR abs/2008.10592 (2020) - [i27]Junjiao Tian, Yen-Cheng Liu, Nathan Glaser, Yen-Chang Hsu, Zsolt Kira:
Posterior Re-calibration for Imbalanced Datasets. CoRR abs/2010.11820 (2020)
2010 – 2019
- 2019
- [j2]Jingdao Chen, Yong Kwon Cho, Zsolt Kira:
Multi-View Incremental Segmentation of 3-D Point Clouds for Mobile Robots. IEEE Robotics Autom. Lett. 4(2): 1240-1246 (2019) - [j1]Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition. Signal Process. Image Commun. 71: 76-87 (2019) - [c28]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. CVPR 2019: 6732-6740 - [c27]Min-Hung Chen, Zsolt Kira, Ghassan Alregib, Jaekwon Yoo, Ruxin Chen, Jian Zheng:
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. ICCV 2019: 6320-6329 - [c26]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. ICLR (Poster) 2019 - [c25]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class classification without multi-class labels. ICLR (Poster) 2019 - [c24]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) 2019 - [c23]Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
RoboCSE: Robot Common Sense Embedding. ICRA 2019: 9777-9783 - [c22]Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira:
Data-Efficient Graph Embedding Learning for PCB Component Detection. WACV 2019: 551-560 - [i26]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class Classification without Multi-class Labels. CoRR abs/1901.00544 (2019) - [i25]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR abs/1901.03035 (2019) - [i24]Jingdao Chen, Yong Kwon Cho, Zsolt Kira:
Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots. CoRR abs/1902.06768 (2019) - [i23]Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
RoboCSE: Robot Common Sense Embedding. CoRR abs/1903.00412 (2019) - [i22]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. CoRR abs/1903.01602 (2019) - [i21]James Seale Smith, Seth Baer, Zsolt Kira, Constantine Dovrolis:
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies. CoRR abs/1904.02021 (2019) - [i20]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. CoRR abs/1904.04232 (2019) - [i19]Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova:
Path Ranking with Attention to Type Hierarchies. CoRR abs/1905.10799 (2019) - [i18]Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
Temporal Attentive Alignment for Video Domain Adaptation. CoRR abs/1905.10861 (2019) - [i17]Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings. CoRR abs/1905.12181 (2019) - [i16]Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira:
Learning to Generate Grounded Image Captions without Localization Supervision. CoRR abs/1906.00283 (2019) - [i15]Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira:
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification. CoRR abs/1906.05202 (2019) - [i14]Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng:
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. CoRR abs/1907.12743 (2019) - [i13]Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. CoRR abs/1911.05611 (2019) - 2018
- [c21]Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf:
Attend and Interact: Higher-Order Object Interactions for Video Understanding. CVPR 2018: 6790-6800 - [c20]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Learning to cluster in order to transfer across domains and tasks. ICLR (Poster) 2018 - [c19]Bijan Fakhri, Aaron Keech, Joel Schlosser, Ethan Brooks, Hemanth Venkateswara, Sethuraman Panchanathan, Zsolt Kira:
Deep Reinforcement Learning Methods for Navigational Aids. ICSM 2018: 66-75 - [c18]Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang:
Learning to Cluster for Proposal-Free Instance Segmentation. IJCNN 2018: 1-8 - [i12]Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang:
Learning to Cluster for Proposal-Free Instance Segmentation. CoRR abs/1803.06459 (2018) - [i11]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
A probabilistic constrained clustering for transfer learning and image category discovery. CoRR abs/1806.11078 (2018) - [i10]Yen-Chang Hsu, Yen-Cheng Liu, Zsolt Kira:
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. CoRR abs/1810.12488 (2018) - [i9]Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira:
Data-Efficient Graph Embedding Learning for PCB Component Detection. CoRR abs/1811.06994 (2018) - 2017
- [i8]Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition. CoRR abs/1703.10667 (2017) - [i7]Naveen Kodali, Jacob D. Abernethy, James Hays, Zsolt Kira:
How to Train Your DRAGAN. CoRR abs/1705.07215 (2017) - [i6]Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf:
Attend and Interact: Higher-Order Object Interactions for Video Understanding. CoRR abs/1711.06330 (2017) - [i5]Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf:
Grounded Objects and Interactions for Video Captioning. CoRR abs/1711.06354 (2017) - [i4]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Learning to cluster in order to Transfer across domains and tasks. CoRR abs/1711.10125 (2017) - 2016
- [c17]Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert:
A Continuous Optimization Approach for Efficient and Accurate Scene Flow. ECCV (8) 2016: 757-773 - [c16]Joel Schlosser, Christopher K. Chow, Zsolt Kira:
Fusing LIDAR and images for pedestrian detection using convolutional neural networks. ICRA 2016: 2198-2205 - [i3]Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert:
A Continuous Optimization Approach for Efficient and Accurate Scene Flow. CoRR abs/1607.07983 (2016) - [i2]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Deep Image Category Discovery using a Transferred Similarity Function. CoRR abs/1612.01253 (2016) - 2015
- [c15]Zsolt Kira:
An evaluation of features for classifier transfer during target handoff across aerial and ground robots. ICRA 2015: 4245-4251 - [i1]Yen-Chang Hsu, Zsolt Kira:
Neural network-based clustering using pairwise constraints. CoRR abs/1511.06321 (2015) - 2014
- [c14]Luca Carlone, Pablo Fernández Alcantarilla, Han-Pang Chiu, Zsolt Kira, Frank Dellaert:
Mining Structure Fragments for Smart Bundle Adjustment. BMVC 2014 - [c13]Luca Carlone, Zsolt Kira, Chris Beall, Vadim Indelman, Frank Dellaert:
Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors. ICRA 2014: 4290-4297 - [c12]Zsolt Kira:
Transfer of sparse coding representations and object classifiers across heterogeneous robots. IROS 2014: 2209-2215 - 2012
- [c11]Wen Wang, Kristin Precoda, Raia Hadsell, Zsolt Kira, Colleen Richey, Gabriel Jiva:
Detecting leadership and cohesion in spoken interactions. ICASSP 2012: 5105-5108 - [c10]Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda:
Unsupervised topic modeling for leader detection in spoken discourse. ICASSP 2012: 5113-5116 - [c9]Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera:
Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers. IROS 2012: 2396-2403 - [c8]Zsolt Kira, Ben Southall, Sujit Kuthirummal, Bogdan Matei, Raia Hadsell, Jayan Eledath:
Multi-modal pedestrian detection on the move. TePRA 2012: 157-162 - 2010
- [c7]Zsolt Kira:
Inter-robot transfer learning for perceptual classification. AAMAS 2010: 13-20
2000 – 2009
- 2009
- [c6]Zsolt Kira:
Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments. FLAIRS Conference 2009 - [c5]Zsolt Kira, Mitchell A. Potter:
Exerting human control over decentralized robot swarms. ICARA 2009: 566-571 - [c4]Zsolt Kira:
Transferring embodied concepts between perceptually heterogeneous robots. IROS 2009: 4650-4656 - 2007
- [c3]Zsolt Kira:
Modeling cross-sensory and sensorimotor correlations to detect and localize faults in mobile robots. IROS 2007: 1520-1526 - 2006
- [c2]Zsolt Kira, Alan C. Schultz:
Continuous and Embedded Learning for Multi-Agent Systems. IROS 2006: 3184-3190 - 2004
- [c1]Zsolt Kira, Ronald C. Arkin:
Forgetting bad behavior: memory for case-based navigation. IROS 2004: 3145-3152
Coauthor Index
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