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2020 – today
- 2024
[j6]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. 2024 (2024)- [c80]James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CVPR Workshops 2024: 1744-1754 - [c79]Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco:
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CVPR 2024: 3554-3563 - [c78]James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky:
Adaptive Memory Replay for Continual Learning. CVPR Workshops 2024: 3605-3615 - [c77]Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs:
Seeing the Unseen: Visual Common Sense for Semantic Placement. CVPR 2024: 16273-16283 - [c76]Mukul Khanna, Ram Ramrakhya, Gunjan Chhablani, Sriram Yenamandra, Théophile Gervet, Matthew Chang, Zsolt Kira, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi:
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. CVPR 2024: 16373-16383 - [c75]Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot:
Reinforcement Learning via Auxiliary Task Distillation. ECCV (81) 2024: 214-230 - [c74]Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi:
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 2024 - [c73]Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad:
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA 2024: 14630-14637 - [c72]Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira:
N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. ICRA 2024: 17889-17896 - [c71]Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira:
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. WACV 2024: 1009-1019 - [c70]Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer:
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. WACV 2024: 2657-2667 - [i96]Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs:
Seeing the Unseen: Visual Common Sense for Semantic Placement. CoRR abs/2401.07770 (2024) - [i95]Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira:
N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. CoRR abs/2403.05815 (2024) - [i94]Muhammad Zubair Irshad
, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR abs/2404.01300 (2024) - [i93]Mukul Khanna, Ram Ramrakhya, Gunjan Chhablani, Sriram Yenamandra, Théophile Gervet, Matthew Chang, Zsolt Kira, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi:
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. CoRR abs/2404.06609 (2024) - [i92]James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky:
Adaptive Memory Replay for Continual Learning. CoRR abs/2404.12526 (2024) - [i91]Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner:
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. CoRR abs/2405.05852 (2024) - [i90]Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev:
Grounding Multimodal Large Language Models in Actions. CoRR abs/2406.07904 (2024) - [i89]Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad, Varun Jampani, Amit Raj, Zsolt Kira:
ICE-G: Image Conditional Editing of 3D Gaussian Splats. CoRR abs/2406.08488 (2024) - [i88]Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot:
Reinforcement Learning via Auxiliary Task Distillation. CoRR abs/2406.17168 (2024) - [i87]Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2407.06939 (2024) - [i86]Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya, Karmesh Yadav, Dhruv Batra, Zsolt Kira, Andrew Szot:
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. CoRR abs/2410.02751 (2024) - 2023
- [c69]Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL 2023: 1975-2011 - [c68]James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CVPR Workshops 2023: 2410-2420 - [c67]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR 2023: 7836-7845 - [c66]Chia-Wen Kuo, Zsolt Kira:
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. CVPR 2023: 11039-11049 - [c65]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR 2023: 11909-11919 - [c64]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR 2023: 14994-15004 - [c63]Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV 2023: 9153-9164 - [c62]Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier:
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR 2023 - [c61]Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. ICML 2023: 33365-33380 - [c60]Nathaniel Moore Glaser, Zsolt Kira:
Communication-Critical Planning via Multi-Agent Trajectory Exchange. ICRA 2023: 3468-3475 - [c59]Jann Goschenhofer, Bernd Bischl, Zsolt Kira:
ConstraintMatch for Semi-constrained Clustering. IJCNN 2023: 1-10 - [c58]Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee:
Training Energy-Based Normalizing Flow with Score-Matching Objectives. NeurIPS 2023 - [c57]Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet:
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS 2023 - [c56]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-tuning. NeurIPS 2023 - [c55]Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira:
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. WACV 2023: 1104-1113 - [i85]Nathaniel Moore Glaser, Zsolt Kira:
Communication-Critical Planning via Multi-Agent Trajectory Exchange. CoRR abs/2303.06080 (2023) - [i84]Karmesh Yadav, Arjun Majumdar, Ram Ramrakhya, Naoki Yokoyama, Alexei Baevski, Zsolt Kira, Oleksandr Maksymets, Dhruv Batra:
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. CoRR abs/2303.07798 (2023) - [i83]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-tuning. CoRR abs/2303.10720 (2023) - [i82]Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier:
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR abs/2303.16194 (2023) - [i81]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR abs/2304.06027 (2023) - [i80]Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira:
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. CoRR abs/2304.10756 (2023) - [i79]Nathaniel Moore Glaser, Zsolt Kira:
We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving. CoRR abs/2305.04352 (2023) - [i78]Rabah Ouldnoughi, Chia-Wen Kuo, Zsolt Kira:
CLIP-GCD: Simple Language Guided Generalized Category Discovery. CoRR abs/2305.10420 (2023) - [i77]Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee:
Training Energy-Based Normalizing Flow with Score-Matching Objectives. CoRR abs/2305.15267 (2023) - [i76]Chia-Wen Kuo, Zsolt Kira:
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. CoRR abs/2305.16295 (2023) - [i75]Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. CoRR abs/2306.00087 (2023) - [i74]Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira:
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. CoRR abs/2306.09970 (2023) - [i73]Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR abs/2306.11565 (2023) - [i72]Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco:
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CoRR abs/2308.12469 (2023) - [i71]Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR abs/2308.12967 (2023) - [i70]Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer:
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. CoRR abs/2308.14596 (2023) - [i69]Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau:
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR abs/2309.16750 (2023) - [i68]Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad:
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR abs/2310.12974 (2023) - [i67]Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi:
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR abs/2310.13724 (2023) - [i66]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-Tuning. CoRR abs/2310.19182 (2023) - [i65]Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet:
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR abs/2311.04894 (2023) - [i64]Jann Goschenhofer, Bernd Bischl, Zsolt Kira:
ConstraintMatch for Semi-constrained Clustering. CoRR abs/2311.15395 (2023) - [i63]James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR abs/2311.18763 (2023) - [i62]Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk:
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR abs/2312.08782 (2023) - 2022
- [j5]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c54]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c53]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c52]Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira:
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CVPR 2022: 9809-9818 - [c51]Chia-Wen Kuo, Zsolt Kira:
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. CVPR 2022: 17948-17958 - [c50]Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. ECCV (30) 2022: 143-159 - [c49]Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon:
ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) 2022: 275-292 - [c48]Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira:
Striking the Right Balance: Recall Loss for Semantic Segmentation. ICRA 2022: 5063-5069 - [c47]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. ICRA 2022: 10632-10640 - [c46]Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira:
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. NeurIPS 2022 - [i61]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) - [i60]Yen-Chang Hsu, James Seale Smith, Yilin Shen, Zsolt Kira, Hongxia Jin:
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR abs/2203.10163 (2022) - [i59]James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CoRR abs/2203.17269 (2022) - [i58]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) - [i57]Mayank Lunayach, James Seale Smith, Zsolt Kira:
Lifelong Wandering: A realistic few-shot online continual learning setting. CoRR abs/2206.07932 (2022) - [i56]Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira:
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CoRR abs/2206.09500 (2022) - [i55]Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon:
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR abs/2207.13691 (2022) - [i54]Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. CoRR abs/2208.13722 (2022) - [i53]Farrukh Rahman, Ömer Mubarek, Zsolt Kira:
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition. CoRR abs/2209.07474 (2022) - [i52]Junjiao Tian, James Seale Smith, Zsolt Kira:
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. CoRR abs/2209.10537 (2022) - [i51]Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira:
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. CoRR abs/2210.03265 (2022) - [i50]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR abs/2211.09790 (2022) - [i49]Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira:
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. CoRR abs/2211.11116 (2022) - [i48]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR abs/2211.13218 (2022) - [i47]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2021
- [j4]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) - [c45]James Seale 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 - [c44]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 - [c43]Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira:
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. ICRA 2021: 13238-13246 - [c42]James Seale 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 - [c41]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS 2021: 2406-2413 - [c40]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. 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 - [c39]Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira:
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. NeurIPS 2021: 26358-26369 - [i46]James Seale 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 Seale 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 M. 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
- [c38]Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova:
Path Ranking with Attention to Type Hierarchies. AAAI 2020: 2893-2900 - [c37]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CVPR 2020: 4105-4114 - [c36]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. CVPR 2020: 9451-9460 - [c35]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 - [c34]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 - [c33]Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira:
FeatMatch: Feature-Based Augmentation for Semi-supervised Learning. ECCV (18) 2020: 479-495 - [c32]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 - [c31]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 - [c30]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
- [j3]Jingdao Chen, Zsolt Kira, Yong Kwon Cho:
Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction. J. Comput. Civ. Eng. 33(4) (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) - [c29]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. CVPR 2019: 6732-6740 - [c28]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 - [c27]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 - [c26]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class classification without multi-class labels. ICLR (Poster) 2019 - [c25]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 - [c24]Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
RoboCSE: Robot Common Sense Embedding. ICRA 2019: 9777-9783 - [c23]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
- [c22]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 - [c21]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Learning to cluster in order to transfer across domains and tasks. ICLR (Poster) 2018 - [c20]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 - [c19]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
- [c18]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 - [c17]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
- [c16]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
- [c15]Luca Carlone, Pablo Fernández Alcantarilla, Han-Pang Chiu, Zsolt Kira, Frank Dellaert:
Mining Structure Fragments for Smart Bundle Adjustment. BMVC 2014 - [c14]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 - [c13]Zsolt Kira:
Transfer of sparse coding representations and object classifiers across heterogeneous robots. IROS 2014: 2209-2215 - 2013
- [c12]Aveek Das, Dinesh Thakur, James Keller, Sujit Kuthirummal, Zsolt Kira, Mihail Pivtoraiko:
R-MASTIF: robotic mobile autonomous system for threat interrogation and object fetch. Intelligent Robots and Computer Vision: Algorithms and Techniques 2013: 86620O - 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 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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