Zsolt Kira - RankMe

221 papers A* 50A 13B 3C 1Misc 4Journal 129Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SAGE: Sink-Aware Grounded Decoding for Multimodal Hallucination Mitigation. CoRR Tripti Shukla, Zsolt Kira
2026	J	`jnl`	Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets. CoRR Jeremiah M. Coholich, Justin Wit, Robert Azarcon, Zsolt Kira
2026	J	`jnl`	The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models. CoRR Shivang Chopra, Shaunak Halbe, Chengyue Huang, Brisa Maneechotesuwan, Zsolt Kira
2025	J	`jnl`	Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars. CoRR Eric Squires, Phillip Odom, Zsolt Kira
2025	A*	`conf`	Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding. ICLR Akash Kumar, Zsolt Kira, Yogesh S. Rawat
2025	J	`jnl`	Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding. CoRR Akash Kumar, Zsolt Kira, Yogesh Singh Rawat
2025	A*	`conf`	Directional Gradient Projection for Robust Fine-Tuning of Foundation Models. ICLR Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira
2025	J	`jnl`	Directional Gradient Projection for Robust Fine-Tuning of Foundation Models. CoRR Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira
2025	J	`jnl`	EVE: A Generator-Verifier System for Generative Policies. CoRR Yusuf Ali, Gryphon Patlin, Karthik Kothuri, Muhammad Zubair Irshad, Wuwei Liang, Zsolt Kira
2025	J	`jnl`	EmbodiedSplat: Personalized Real-to-Sim-to-Real Navigation with Gaussian Splats from a Mobile Device. CoRR Gunjan Chhablani, Xiaomeng Ye, Muhammad Zubair Irshad, Zsolt Kira
2025	J	`jnl`	EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction. CoRR Xinan Zhang, Muhammad Zubair Irshad, Anthony Yezzi, Yi-Chang Tsai, Zsolt Kira
2025	A*	`conf`	FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering. CVPR Chengyue Huang, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira
2025	J	`jnl`	FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering. CoRR Chengyue Huang, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira
2025	J	`jnl`	FindingDory: A Benchmark to Evaluate Memory in Embodied Agents. CoRR Karmesh Yadav, Yusuf Ali, Gunshi Gupta, Yarin Gal, Zsolt Kira
2025	A*	`conf`	From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. CVPR Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2025	J	`jnl`	Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning. CoRR Ram Ramrakhya, Matthew Chang, Xavier Puig, Ruta Desai, Zsolt Kira, Roozbeh Mottaghi
2025	C	`conf`	Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion. ACC Jeremiah M. Coholich, Muhammad Ali Murtaza, Seth Hutchinson, Zsolt Kira
2025	J	`jnl`	Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion. CoRR Jeremiah M. Coholich, Muhammad Ali Murtaza, Seth Hutchinson, Zsolt Kira
2025	J	`jnl`	Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification. CoRR Moises Andrade, Joonhyuk Cha, Brandon Ho, Vriksha Srihari, Karmesh Yadav, Zsolt Kira
2025	J	`jnl`	MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization. CoRR Chengyue Huang, Mellon M. Zhang, Robert Azarcon, Glen Chou, Zsolt Kira
2025	J	`jnl`	MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding. CoRR Shivang Chopra, Gabriela Sanchez-Rodriguez, Lingchao Mao, Andrew J. Feola, Jing Li, Zsolt Kira
2025	J	`jnl`	Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning. CoRR Gunshi Gupta, Karmesh Yadav, Zsolt Kira, Yarin Gal, Rahaf Aljundi
2025	J	`jnl`	Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models. CoRR Chengyue Huang, Yuchen Zhu, Sichen Zhu, Jingyun Xiao, Moises Andrade, Shivang Chopra, Zsolt Kira
2025	A*	`conf`	RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering. IJCAI Matthew Hull, Haoran Wang, Matthew Lau, Alec Helbling, Mansi Phute, Chao Zhang, Zsolt Kira, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau
2025	J	`jnl`	Safe Reinforcement Learning Using Robust Control Barrier Functions. IEEE Robotics Autom. Lett. Yousef Emam, Gennaro Notomista, Paul Glotfelter, Zsolt Kira, Magnus Egerstedt
2025	J	`jnl`	Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective. CoRR Bolin Lai, Xudong Wang, Saketh Rambhatla, James M. Rehg, Zsolt Kira, Rohit Girdhar, Ishan Misra
2025	A*	`conf`	When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach. CVPR Vaibhav Rathore, Shubhranil B, Saikat Dutta, Sarthak Mehrotra, Zsolt Kira, Biplab Banerjee
2025	J	`jnl`	When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach. CoRR Vaibhav Rathore, Shubhranil B, Saikat Dutta, Sarthak Mehrotra, Zsolt Kira, Biplab Banerjee
2024	—	`conf`	Adaptive Memory Replay for Continual Learning. CVPR Workshops James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
2024	J	`jnl`	Adaptive Memory Replay for Continual Learning. CoRR James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
2024	J	`jnl`	Adversarial Attacks Using Differentiable Rendering: A Survey. CoRR Matthew Hull, Chao Zhang, Zsolt Kira, Duen Horng Chau
2024	J	`jnl`	Continual Adaptation of Vision Transformers for Federated Learning. Trans. Mach. Learn. Res. Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
2024	—	`conf`	Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CVPR Workshops James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
2024	J	`jnl`	Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2024	A*	`conf`	Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CVPR Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco
2024	A*	`conf`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2024	J	`jnl`	From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. CoRR Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2024	A*	`conf`	GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. CVPR Mukul Khanna, Ram Ramrakhya, Gunjan Chhablani, Sriram Yenamandra, Théophile Gervet, Matthew Chang, Zsolt Kira, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi
2024	J	`jnl`	GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. CoRR Mukul Khanna, Ram Ramrakhya, Gunjan Chhablani, Sriram Yenamandra, Théophile Gervet, Matthew Chang, Zsolt Kira, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi
2024	J	`jnl`	Grounding Descriptions in Images informs Zero-Shot Visual Recognition. CoRR Shaunak Halbe, Junjiao Tian, K. J. Joseph, James Seale Smith, Katherine Stevo, Vineeth N. Balasubramanian, Zsolt Kira
2024	A*	`conf`	Grounding Multimodal Large Language Models in Actions. NeurIPS Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024	J	`jnl`	Grounding Multimodal Large Language Models in Actions. CoRR Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024	A*	`conf`	Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 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
2024	J	`jnl`	ICE-G: Image Conditional Editing of 3D Gaussian Splats. CoRR Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad, Varun Jampani, Amit Raj, Zsolt Kira
2024	A	`conf`	LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. WACV Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer
2024	A	`conf`	Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. WACV Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
2024	A*	`conf`	N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. ICRA Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira
2024	J	`jnl`	N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. CoRR Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira
2024	J	`jnl`	NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. ECCV (88) Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	J	`jnl`	Neural Fields in Robotics: A Survey. CoRR Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay
2024	A*	`conf`	Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. NeurIPS Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
2024	J	`jnl`	Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. CoRR Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
2024	J	`jnl`	ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. CoRR Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya, Karmesh Yadav, Dhruv Batra, Zsolt Kira, Andrew Szot
2024	—	`conf`	Reinforcement Learning via Auxiliary Task Distillation. ECCV (81) Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
2024	J	`jnl`	Reinforcement Learning via Auxiliary Task Distillation. CoRR Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
2024	A*	`conf`	Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models. NeurIPS Junjiao Tian, Chengyue Huang, Zsolt Kira
2024	J	`jnl`	Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models. CoRR Junjiao Tian, Chengyue Huang, Zsolt Kira
2024	A*	`conf`	Seeing the Unseen: Visual Common Sense for Semantic Placement. CVPR Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs
2024	J	`jnl`	Seeing the Unseen: Visual Common Sense for Semantic Placement. CoRR Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs
2024	J	`jnl`	Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR 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
2023	—	`conf`	A Closer Look at Rehearsal-Free Continual Learning. CVPR Workshops James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira
2023	A*	`conf`	Adaptive Coordination in Social Embodied Rearrangement. ICML Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai
2023	J	`jnl`	Adaptive Coordination in Social Embodied Rearrangement. CoRR Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai
2023	A*	`conf`	BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
2023	J	`jnl`	BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
2023	J	`jnl`	CLIP-GCD: Simple Language Guided Generalized Category Discovery. CoRR Rabah Ouldnoughi, Chia-Wen Kuo, Zsolt Kira
2023	A*	`conf`	CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2023	A*	`conf`	Communication-Critical Planning via Multi-Agent Trajectory Exchange. ICRA Nathaniel Moore Glaser, Zsolt Kira
2023	J	`jnl`	Communication-Critical Planning via Multi-Agent Trajectory Exchange. CoRR Nathaniel Moore Glaser, Zsolt Kira
2023	A*	`conf`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2023	B	`conf`	ConstraintMatch for Semi-constrained Clustering. IJCNN Jann Goschenhofer, Bernd Bischl, Zsolt Kira
2023	J	`jnl`	ConstraintMatch for Semi-constrained Clustering. CoRR Jann Goschenhofer, Bernd Bischl, Zsolt Kira
2023	J	`jnl`	Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2023	A*	`conf`	DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
2023	J	`jnl`	DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
2023	J	`jnl`	Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CoRR Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco
2023	J	`jnl`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2023	J	`jnl`	Fast Trainable Projection for Robust Fine-Tuning. CoRR Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
2023	A*	`conf`	Fast Trainable Projection for Robust Fine-tuning. NeurIPS Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
2023	A*	`conf`	HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. CVPR Chia-Wen Kuo, Zsolt Kira
2023	J	`jnl`	HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. CoRR Chia-Wen Kuo, Zsolt Kira
2023	J	`jnl`	Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR 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
2023	J	`jnl`	HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. CoRR Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
2023	Misc	`conf`	HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL 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
2023	J	`jnl`	HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR 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
2023	J	`jnl`	LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. CoRR Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer
2023	J	`jnl`	Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
2023	J	`jnl`	Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. CoRR Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
2023	A*	`conf`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. CoRR Karmesh Yadav, Arjun Majumdar, Ram Ramrakhya, Naoki Yokoyama, Alexei Baevski, Zsolt Kira, Oleksandr Maksymets, Dhruv Batra
2023	A	`conf`	Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. WACV Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
2023	J	`jnl`	Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR 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
2023	A*	`conf`	Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
2023	J	`jnl`	Trainable Projected Gradient Method for Robust Fine-tuning. CoRR Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
2023	A*	`conf`	Training Energy-Based Normalizing Flow with Score-Matching Objectives. NeurIPS Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
2023	J	`jnl`	Training Energy-Based Normalizing Flow with Score-Matching Objectives. CoRR Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
2023	J	`jnl`	We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving. CoRR Nathaniel Moore Glaser, Zsolt Kira
2022	J	`jnl`	A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR Yen-Chang Hsu, James Seale Smith, Yilin Shen, Zsolt Kira, Hongxia Jin
2022	J	`jnl`	A Closer Look at Rehearsal-Free Continual Learning. CoRR James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira
2022	A*	`conf`	Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. CVPR Chia-Wen Kuo, Zsolt Kira
2022	J	`jnl`	Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. CoRR Chia-Wen Kuo, Zsolt Kira
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 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
2022	J	`jnl`	CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2022	A*	`conf`	CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. ICRA Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira
2022	J	`jnl`	CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. CoRR Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira
2022	J	`jnl`	ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2022	J	`jnl`	FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. CoRR Junjiao Tian, James Seale Smith, Zsolt Kira
2022	J	`jnl`	Lifelong Wandering: A realistic few-shot online continual learning setting. CoRR Mayank Lunayach, James Seale Smith, Zsolt Kira
2022	—	`conf`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 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
2022	J	`jnl`	On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition. CoRR Farrukh Rahman, Ömer Mubarek, Zsolt Kira
2022	—	`conf`	Open-Set Semi-Supervised Object Detection. ECCV (30) Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022	J	`jnl`	Open-Set Semi-Supervised Object Detection. CoRR Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022	A*	`conf`	Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. NeurIPS Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
2022	J	`jnl`	Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. CoRR Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
2022	J	`jnl`	ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	—	`conf`	ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	A*	`conf`	Striking the Right Balance: Recall Loss for Semantic Segmentation. ICRA Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira
2022	J	`jnl`	Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. CoRR Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
2022	—	`conf`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 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
2022	J	`jnl`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR 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
2022	A*	`conf`	Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CVPR Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
2022	J	`jnl`	Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CoRR Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
2021	A*	`conf`	A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. NeurIPS Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira
2021	J	`jnl`	A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. CoRR Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira
2021	A*	`conf`	Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. ICCV James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021	J	`jnl`	Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. CoRR James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021	J	`jnl`	Enhancing Multi-Robot Perception via Learned Data Association. CoRR Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021	J	`jnl`	Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. CoRR Junjiao Tian, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2021	A*	`conf`	Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS 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
2021	J	`jnl`	Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR 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
2021	A*	`conf`	Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. ICRA Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira
2021	J	`jnl`	Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. CoRR Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira
2021	J	`jnl`	LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. CoRR Jingdao Chen, Zsolt Kira, Yong Kwon Cho
2021	J	`jnl`	LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. IEEE Robotics Autom. Lett. Jingdao Chen, Zsolt Kira, Yong Kwon Cho
2021	B	`conf`	Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. IJCNN James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira
2021	J	`jnl`	Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. CoRR James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira
2021	A	`conf`	Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021	J	`jnl`	Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. CoRR Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021	J	`jnl`	Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions. CoRR Yousef Emam, Paul Glotfelter, Zsolt Kira, Magnus Egerstedt
2021	J	`jnl`	Striking the Right Balance: Recall Loss for Semantic Segmentation. CoRR Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira
2021	A*	`conf`	Unbiased Teacher for Semi-Supervised Object Detection. ICLR Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021	J	`jnl`	Unbiased Teacher for Semi-Supervised Object Detection. CoRR Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2020	J	`jnl`	3D for Free: Crossmodal Transfer Learning using HD Maps. CoRR Benjamin Wilson, Zsolt Kira, James Hays
2020	A*	`conf`	Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. CVPR Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira
2020	J	`jnl`	Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. CoRR Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira
2020	J	`jnl`	FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning. CoRR Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira
2020	—	`conf`	FeatMatch: Feature-Based Augmentation for Semi-supervised Learning. ECCV (18) Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira
2020	J	`jnl`	Frustratingly Simple Domain Generalization via Image Stylization. CoRR Nathan Somavarapu, Chih-Yao Ma, Zsolt Kira
2020	A*	`conf`	Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. CVPR Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2020	J	`jnl`	Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data. CoRR Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2020	—	`conf`	Learning to Generate Grounded Visual Captions Without Localization Supervision. ECCV (18) Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
2020	A*	`conf`	Path Ranking with Attention to Type Hierarchies. AAAI Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova
2020	A*	`conf`	Posterior Re-calibration for Imbalanced Datasets. NeurIPS Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira
2020	J	`jnl`	Posterior Re-calibration for Imbalanced Datasets. CoRR Junjiao Tian, Yen-Cheng Liu, Nathan Glaser, Yen-Chang Hsu, Zsolt Kira
2020	A*	`conf`	UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ICRA Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira
2020	A*	`conf`	When2com: Multi-Agent Perception via Communication Graph Grouping. CVPR Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira
2020	J	`jnl`	When2com: Multi-Agent Perception via Communication Graph Grouping. CoRR Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira
2020	A*	`conf`	Who2com: Collaborative Perception via Learnable Handshake Communication. ICRA Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira
2020	J	`jnl`	Who2com: Collaborative Perception via Learnable Handshake Communication. CoRR Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira
2019	—	`conf`	A Closer Look at Few-shot Classification. ICLR (Poster) Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang
2019	J	`jnl`	A Closer Look at Few-shot Classification. CoRR Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang
2019	A	`conf`	Data-Efficient Graph Embedding Learning for PCB Component Detection. WACV Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira
2019	J	`jnl`	Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction. J. Comput. Civ. Eng. Jingdao Chen, Zsolt Kira, Yong Kwon Cho
2019	J	`jnl`	Learning to Generate Grounded Image Captions without Localization Supervision. CoRR Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
2019	J	`jnl`	Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings. CoRR Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova
2019	J	`jnl`	Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification. CoRR Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira
2019	J	`jnl`	Multi-View Incremental Segmentation of 3-D Point Clouds for Mobile Robots. IEEE Robotics Autom. Lett. Jingdao Chen, Yong Kwon Cho, Zsolt Kira
2019	J	`jnl`	Multi-class Classification without Multi-class Labels. CoRR Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira
2019	—	`conf`	Multi-class classification without multi-class labels. ICLR (Poster) Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira
2019	J	`jnl`	Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots. CoRR Jingdao Chen, Yong Kwon Cho, Zsolt Kira
2019	J	`jnl`	Path Ranking with Attention to Type Hierarchies. CoRR Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova
2019	A*	`conf`	RoboCSE: Robot Common Sense Embedding. ICRA Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova
2019	J	`jnl`	RoboCSE: Robot Common Sense Embedding. CoRR Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova
2019	—	`conf`	Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019	J	`jnl`	Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019	J	`jnl`	TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition. Signal Process. Image Commun. Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib
2019	A*	`conf`	Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. ICCV Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng
2019	J	`jnl`	Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. CoRR Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng
2019	J	`jnl`	Temporal Attentive Alignment for Video Domain Adaptation. CoRR Min-Hung Chen, Zsolt Kira, Ghassan AlRegib
2019	A*	`conf`	The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. CVPR Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
2019	J	`jnl`	The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. CoRR Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
2019	J	`jnl`	UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. CoRR Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira
2019	J	`jnl`	Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies. CoRR James Seale Smith, Seth Baer, Zsolt Kira, Constantine Dovrolis
2018	J	`jnl`	A probabilistic constrained clustering for transfer learning and image category discovery. CoRR Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira
2018	A*	`conf`	Attend and Interact: Higher-Order Object Interactions for Video Understanding. CVPR Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf
2018	J	`jnl`	Data-Efficient Graph Embedding Learning for PCB Component Detection. CoRR Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira
2018	—	`conf`	Deep Reinforcement Learning Methods for Navigational Aids. ICSM Bijan Fakhri, Aaron Keech, Joel Schlosser, Ethan Brooks, Hemanth Venkateswara, Sethuraman Panchanathan, Zsolt Kira
2018	B	`conf`	Learning to Cluster for Proposal-Free Instance Segmentation. IJCNN Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang
2018	J	`jnl`	Learning to Cluster for Proposal-Free Instance Segmentation. CoRR Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang
2018	—	`conf`	Learning to cluster in order to transfer across domains and tasks. ICLR (Poster) Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
2018	J	`jnl`	Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. CoRR Yen-Chang Hsu, Yen-Cheng Liu, Zsolt Kira
2017	J	`jnl`	Attend and Interact: Higher-Order Object Interactions for Video Understanding. CoRR Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf
2017	J	`jnl`	Grounded Objects and Interactions for Video Captioning. CoRR Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf
2017	J	`jnl`	How to Train Your DRAGAN. CoRR Naveen Kodali, Jacob D. Abernethy, James Hays, Zsolt Kira
2017	J	`jnl`	Learning to cluster in order to Transfer across domains and tasks. CoRR Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
2017	J	`jnl`	TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition. CoRR Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib
2016	—	`conf`	A Continuous Optimization Approach for Efficient and Accurate Scene Flow. ECCV (8) Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert
2016	J	`jnl`	A Continuous Optimization Approach for Efficient and Accurate Scene Flow. CoRR Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert
2016	J	`jnl`	Deep Image Category Discovery using a Transferred Similarity Function. CoRR Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
2016	A*	`conf`	Fusing LIDAR and images for pedestrian detection using convolutional neural networks. ICRA Joel Schlosser, Christopher K. Chow, Zsolt Kira
2015	A*	`conf`	An evaluation of features for classifier transfer during target handoff across aerial and ground robots. ICRA Zsolt Kira
2015	J	`jnl`	Neural network-based clustering using pairwise constraints. CoRR Yen-Chang Hsu, Zsolt Kira
2014	A*	`conf`	Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors. ICRA Luca Carlone, Zsolt Kira, Chris Beall, Vadim Indelman, Frank Dellaert
2014	A	`conf`	Mining Structure Fragments for Smart Bundle Adjustment. BMVC Luca Carlone, Pablo Fernández Alcantarilla, Han-Pang Chiu, Zsolt Kira, Frank Dellaert
2014	A	`conf`	Transfer of sparse coding representations and object classifiers across heterogeneous robots. IROS Zsolt Kira
2013	—	`conf`	R-MASTIF: robotic mobile autonomous system for threat interrogation and object fetch. Intelligent Robots and Computer Vision: Algorithms and Techniques Aveek Das, Dinesh Thakur, James Keller, Sujit Kuthirummal, Zsolt Kira, Mihail Pivtoraiko
2012	Misc	`conf`	Detecting leadership and cohesion in spoken interactions. ICASSP Wen Wang, Kristin Precoda, Raia Hadsell, Zsolt Kira, Colleen Richey, Gabriel Jiva
2012	A	`conf`	Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers. IROS Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera
2012	—	`conf`	Multi-modal pedestrian detection on the move. TePRA Zsolt Kira, Ben Southall, Sujit Kuthirummal, Bogdan Matei, Raia Hadsell, Jayan Eledath
2012	Misc	`conf`	Unsupervised topic modeling for leader detection in spoken discourse. ICASSP Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda
2010	—	`—`	Communication and alignment of grounded symbolic knowledge among heterogeneous robots. Zsolt Kira
2010	A	`conf`	Inter-robot transfer learning for perceptual classification. AAMAS Zsolt Kira
2009	—	`conf`	Exerting human control over decentralized robot swarms. ICARA Zsolt Kira, Mitchell A. Potter
2009	Misc	`conf`	Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments. FLAIRS Zsolt Kira
2009	A	`conf`	Transferring embodied concepts between perceptually heterogeneous robots. IROS Zsolt Kira
2007	A	`conf`	Modeling cross-sensory and sensorimotor correlations to detect and localize faults in mobile robots. IROS Zsolt Kira
2006	A	`conf`	Continuous and Embedded Learning for Multi-Agent Systems. IROS Zsolt Kira, Alan C. Schultz
2004	A	`conf`	Forgetting bad behavior: memory for case-based navigation. IROS Zsolt Kira, Ronald C. Arkin