Zsolt Kira

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 158

Top Venues

Publications

Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs
Seeing the Unseen: Visual Common Sense for Semantic Placement. CoRR (2024)
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 (2024)
James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
Adaptive Memory Replay for Continual Learning. CoRR (2024)
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)
Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad, Varun Jampani, Amit Raj, Zsolt Kira
ICE-G: Image Conditional Editing of 3D Gaussian Splats. CoRR (2024)
Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira
N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. ICRA (2024)
Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
Reinforcement Learning via Auxiliary Task Distillation. CoRR (2024)
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 (2024)
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)
Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. WACV (2024)
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
Grounding Multimodal Large Language Models in Actions. CoRR (2024)
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 (2024)
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)
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 (2024)
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)
Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira
N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. CoRR (2024)
Jann Goschenhofer, Bernd Bischl, Zsolt Kira
ConstraintMatch for Semi-constrained Clustering. IJCNN (2023)
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)
Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. CoRR (2023)
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 (2023)
Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai
Adaptive Coordination in Social Embodied Rearrangement. ICML (2023)
James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira
A Closer Look at Rehearsal-Free Continual Learning. CVPR Workshops (2023)
Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. CoRR (2023)
Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
Training Energy-Based Normalizing Flow with Score-Matching Objectives. CoRR (2023)
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)
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
Fast Trainable Projection for Robust Fine-Tuning. CoRR (2023)
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 (2023)
Rabah Ouldnoughi, Chia-Wen Kuo, Zsolt Kira
CLIP-GCD: Simple Language Guided Generalized Category Discovery. CoRR (2023)
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)
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
Fast Trainable Projection for Robust Fine-tuning. NeurIPS (2023)
Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR (2023)
Nathaniel Moore Glaser, Zsolt Kira
Communication-Critical Planning via Multi-Agent Trajectory Exchange. CoRR (2023)
Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
Trainable Projected Gradient Method for Robust Fine-tuning. CoRR (2023)
Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai
Adaptive Coordination in Social Embodied Rearrangement. CoRR (2023)
Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR (2023)
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)
Chia-Wen Kuo, Zsolt Kira
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. CoRR (2023)
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 (2023)
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John 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 (2023)
Nathaniel Moore Glaser, Zsolt Kira
Communication-Critical Planning via Multi-Agent Trajectory Exchange. ICRA (2023)
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)
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 (2023)
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)
Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR (2023)
Chia-Wen Kuo, Zsolt Kira
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. CVPR (2023)
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 (2023)
Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR (2023)
Nathaniel Moore Glaser, Zsolt Kira
We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving. CoRR (2023)
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 (2023)
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 (2023)
Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CoRR (2023)
Jann Goschenhofer, Bernd Bischl, Zsolt Kira
ConstraintMatch for Semi-constrained Clustering. CoRR (2023)
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 Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR (2023)
Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS (2023)
James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR (2023)
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)
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)
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 (2022)
James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira
A Closer Look at Rehearsal-Free Continual Learning. CoRR (2022)
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 (2022)
Chia-Wen Kuo, Zsolt Kira
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. CVPR (2022)
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 Piacentino, Jesse Hostetler, Aswin Raghavan
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems (2022)
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) (2022)
Junjiao Tian, James Seale Smith, Zsolt Kira
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. CoRR (2022)
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael 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)
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)
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
Open-Set Semi-Supervised Object Detection. CoRR (2022)
Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CoRR (2022)
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana 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 (2022)
Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. CoRR (2022)
Chia-Wen Kuo, Zsolt Kira
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. CoRR (2022)
Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira
Striking the Right Balance: Recall Loss for Semantic Segmentation. ICRA (2022)
Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CVPR (2022)
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 (2022)
Mayank Lunayach, James Smith, Zsolt Kira
Lifelong Wandering: A realistic few-shot online continual learning setting. CoRR (2022)
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 (2022)
Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. CoRR (2022)
Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. NeurIPS (2022)
Farrukh Rahman, Ömer Mubarek, Zsolt Kira
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition. CoRR (2022)
Yen-Chang Hsu, James Smith, Yilin Shen, Zsolt Kira, Hongxia Jin
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR (2022)
Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS (2021)
Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. ICRA (2021)
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 (2021)
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)
Jingdao Chen, Zsolt Kira, Yong Kwon Cho
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. CoRR (2021)
Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
Enhancing Multi-Robot Perception via Learned Data Association. CoRR (2021)
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)
James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. IJCNN (2021)
Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. CoRR (2021)
James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. CoRR (2021)
Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. CoRR (2021)
Jingdao Chen, Zsolt Kira, Yong Kwon Cho
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. CoRR (2021)
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 (2021)
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 Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR (2021)
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 (2021)
Yousef Emam, Paul Glotfelter, Zsolt Kira, Magnus Egerstedt
Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions. CoRR (2021)
Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira
Striking the Right Balance: Recall Loss for Semantic Segmentation. CoRR (2021)
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)
Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. NeurIPS (2021)

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Publication Activity (10 Years)

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Zsolt Kira