Forgetting bad behavior: memory for case-based navigation. - Zsolt Kira; Ronald C. Arkin (IROS, 2004)

Continuous and Embedded Learning for Multi-Agent Systems. - Zsolt Kira; Alan C. Schultz (IROS, 2006)

Modeling cross-sensory and sensorimotor correlations to detect and localize faults in mobile robots. - Zsolt Kira (IROS, 2007)

Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments. - Zsolt Kira (FLAIRS, 2009)

Exerting human control over decentralized robot swarms. - Zsolt Kira; Mitchell A. Potter (ICARA, 2009)

Transferring embodied concepts between perceptually heterogeneous robots. - Zsolt Kira (IROS, 2009)

Inter-robot transfer learning for perceptual classification. - Zsolt Kira (AAMAS, 2010)

Communication and alignment of grounded symbolic knowledge among heterogeneous robots. - Zsolt Kira (2010)

Unsupervised topic modeling for leader detection in spoken discourse. - Raia Hadsell; Zsolt Kira; Wen Wang; Kristin Precoda (ICASSP, 2012)

Detecting leadership and cohesion in spoken interactions. - Wen Wang 001; Kristin Precoda; Raia Hadsell; Zsolt Kira; Colleen Richey; Gabriel Jiva (ICASSP, 2012)

Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers. - Zsolt Kira; Raia Hadsell; Garbis Salgian; Supun Samarasekera (IROS, 2012)

Multi-modal pedestrian detection on the move. - Zsolt Kira; Ben Southall; Sujit Kuthirummal; Bogdan Matei; Raia Hadsell; Jayan Eledath (TePRA, 2012)

R-MASTIF: robotic mobile autonomous system for threat interrogation and object fetch. - Aveek Das; Dinesh Thakur; James Keller 002; Sujit Kuthirummal; Zsolt Kira; Mihail Pivtoraiko (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Mining Structure Fragments for Smart Bundle Adjustment. - Luca Carlone; Pablo Fernández Alcantarilla; Han-Pang Chiu; Zsolt Kira; Frank Dellaert (BMVC, 2014)

Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors. - Luca Carlone; Zsolt Kira; Chris Beall; Vadim Indelman; Frank Dellaert (ICRA, 2014)

Transfer of sparse coding representations and object classifiers across heterogeneous robots. - Zsolt Kira (IROS, 2014)

An evaluation of features for classifier transfer during target handoff across aerial and ground robots. - Zsolt Kira (ICRA, 2015)

Neural network-based clustering using pairwise constraints. - Yen-Chang Hsu; Zsolt Kira (CoRR, 2015)

A Continuous Optimization Approach for Efficient and Accurate Scene Flow. - Zhaoyang Lv; Chris Beall; Pablo F. Alcantarilla; Fuxin Li; Zsolt Kira; Frank Dellaert (ECCV (8), 2016)

Fusing LIDAR and images for pedestrian detection using convolutional neural networks. - Joel Schlosser; Christopher K. Chow; Zsolt Kira (ICRA, 2016)

Deep Image Category Discovery using a Transferred Similarity Function. - Yen-Chang Hsu; Zhaoyang Lv; Zsolt Kira (CoRR, 2016)

How to Train Your DRAGAN. - Naveen Kodali; Jacob D. Abernethy; James Hays; Zsolt Kira (CoRR, 2017)

Grounded Objects and Interactions for Video Captioning. - Chih-Yao Ma; Asim Kadav; Iain Melvin; Zsolt Kira; Ghassan AlRegib; Hans Peter Graf (CoRR, 2017)

Attend and Interact: Higher-Order Object Interactions for Video Understanding. - Chih-Yao Ma; Asim Kadav; Iain Melvin; Zsolt Kira; Ghassan AlRegib; Hans Peter Graf (CVPR, 2018)

Learning to cluster in order to transfer across domains and tasks. - Yen-Chang Hsu; Zhaoyang Lv; Zsolt Kira (ICLR (Poster), 2018)

Deep Reinforcement Learning Methods for Navigational Aids. - Bijan Fakhri; Aaron Keech; Joel Schlosser; Ethan Brooks; Hemanth Venkateswara; Sethuraman Panchanathan; Zsolt Kira (ICSM, 2018)

Learning to Cluster for Proposal-Free Instance Segmentation. - Yen-Chang Hsu; Zheng Xu 002; Zsolt Kira; Jiawei Huang 006 (IJCNN, 2018)

A probabilistic constrained clustering for transfer learning and image category discovery. - Yen-Chang Hsu; Zhaoyang Lv; Joel Schlosser; Phillip Odom; Zsolt Kira (CoRR, 2018)

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. - Yen-Chang Hsu; Yen-Cheng Liu; Zsolt Kira (CoRR, 2018)

The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. - Chih-Yao Ma; Zuxuan Wu; Ghassan AlRegib; Caiming Xiong; Zsolt Kira (CVPR, 2019)

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. - Min-Hung Chen; Zsolt Kira; Ghassan Alregib; Jaekwon Yoo; Ruxin Chen; Jian Zheng (ICCV, 2019)

A Closer Look at Few-shot Classification. - Wei-Yu Chen; Yen-Cheng Liu; Zsolt Kira; Yu-Chiang Frank Wang; Jia-Bin Huang 001 (ICLR (Poster), 2019)

Multi-class classification without multi-class labels. - Yen-Chang Hsu; Zhaoyang Lv; Joel Schlosser; Phillip Odom; Zsolt Kira (ICLR (Poster), 2019)

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. - Chih-Yao Ma; Jiasen Lu; Zuxuan Wu; Ghassan AlRegib; Zsolt Kira; Richard Socher; Caiming Xiong (ICLR (Poster), 2019)

RoboCSE: Robot Common Sense Embedding. - Angel Andres Daruna; Weiyu Liu; Zsolt Kira; Sonia Chernova (ICRA, 2019)

Data-Efficient Graph Embedding Learning for PCB Component Detection. - Chia-Wen Kuo; Jacob Ashmore; David Huggins; Zsolt Kira (WACV, 2019)

Multi-view Incremental Segmentation of 3D Point Clouds for Mobile Robots. - Jingdao Chen; Yong Kwon Cho; Zsolt Kira (CoRR, 2019)

Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies. - James Seale Smith; Seth Baer; Zsolt Kira; Constantine Dovrolis (CoRR, 2019)

Temporal Attentive Alignment for Video Domain Adaptation. - Min-Hung Chen; Zsolt Kira; Ghassan AlRegib (CoRR, 2019)

Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings. - Angel Andres Daruna; Weiyu Liu; Zsolt Kira; Sonia Chernova (CoRR, 2019)

Learning to Generate Grounded Image Captions without Localization Supervision. - Chih-Yao Ma; Yannis Kalantidis; Ghassan AlRegib; Peter Vajda; Marcus Rohrbach; Zsolt Kira (CoRR, 2019)

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification. - Chia-Wen Kuo; Chih-Yao Ma; Jia-Bin Huang 001; Zsolt Kira (CoRR, 2019)

Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction. - Jingdao Chen; Zsolt Kira; Yong Kwon Cho (J. Comput. Civ. Eng., 2019)

Multi-View Incremental Segmentation of 3-D Point Clouds for Mobile Robots. - Jingdao Chen; Yong Kwon Cho; Zsolt Kira (IEEE Robotics Autom. Lett., 2019)

TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition. - Chih-Yao Ma; Min-Hung Chen; Zsolt Kira; Ghassan AlRegib (Signal Process. Image Commun., 2019)

Path Ranking with Attention to Type Hierarchies. - Weiyu Liu; Angel Andres Daruna; Zsolt Kira; Sonia Chernova (AAAI, 2020)

Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. - Min-Hung Chen; Baopu Li; Yingze Bao; Ghassan AlRegib; Zsolt Kira (CVPR, 2020)

Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. - Yen-Chang Hsu; Yilin Shen; Hongxia Jin; Zsolt Kira (CVPR, 2020)

When2com: Multi-Agent Perception via Communication Graph Grouping. - Yen-Cheng Liu; Junjiao Tian; Nathaniel Glaser; Zsolt Kira (CVPR, 2020)

FeatMatch: Feature-Based Augmentation for Semi-supervised Learning. - Chia-Wen Kuo; Chih-Yao Ma; Jia-Bin Huang 001; Zsolt Kira (ECCV (18), 2020)

Learning to Generate Grounded Visual Captions Without Localization Supervision. - Chih-Yao Ma; Yannis Kalantidis; Ghassan AlRegib; Peter Vajda; Marcus Rohrbach; Zsolt Kira (ECCV (18), 2020)

Who2com: Collaborative Perception via Learnable Handshake Communication. - Yen-Cheng Liu; Junjiao Tian; Chih-Yao Ma; Nathan Glaser; Chia-Wen Kuo; Zsolt Kira (ICRA, 2020)

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. - Junjiao Tian; Wesley Cheung; Nathaniel Glaser; Yen-Cheng Liu; Zsolt Kira (ICRA, 2020)

Posterior Re-calibration for Imbalanced Datasets. - Junjiao Tian; Yen-Cheng Liu; Nathaniel Glaser; Yen-Chang Hsu; Zsolt Kira (NeurIPS, 2020)

Frustratingly Simple Domain Generalization via Image Stylization. - Nathan Somavarapu; Chih-Yao Ma; Zsolt Kira (CoRR, 2020)

3D for Free: Crossmodal Transfer Learning using HD Maps. - Benjamin Wilson; Zsolt Kira; James Hays (CoRR, 2020)

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. - James Seale Smith; Yen-Chang Hsu; Jonathan Balloch; Yilin Shen; Hongxia Jin; Zsolt Kira (ICCV, 2021)

Unbiased Teacher for Semi-Supervised Object Detection. - Yen-Cheng Liu; Chih-Yao Ma; Zijian He; Chia-Wen Kuo; Kan Chen; Peizhao Zhang; Bichen Wu; Zsolt Kira; Peter Vajda (ICLR, 2021)

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation. - Muhammad Zubair Irshad; Chih-Yao Ma; Zsolt Kira (ICRA, 2021)

Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. - James Seale Smith; Jonathan Balloch; Yen-Chang Hsu; Zsolt Kira (IJCNN, 2021)

Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. - Nathaniel Glaser; Yen-Cheng Liu; Junjiao Tian; Zsolt Kira (IROS, 2021)

Habitat 2.0: Training Home Assistants to Rearrange their Habitat. - 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; et al. (NeurIPS, 2021)

A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. - Junjiao Tian; Dylan Yung; Yen-Chang Hsu; Zsolt Kira (NeurIPS, 2021)

Enhancing Multi-Robot Perception via Learned Data Association. - Nathaniel Glaser; Yen-Cheng Liu; Junjiao Tian; Zsolt Kira (CoRR, 2021)

Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions. - Yousef Emam; Paul Glotfelter; Zsolt Kira; Magnus Egerstedt (CoRR, 2021)

Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. - Junjiao Tian; Yen-Chang Hsu; Yilin Shen; Hongxia Jin; Zsolt Kira (CoRR, 2021)

LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation. - Jingdao Chen; Zsolt Kira; Yong Kwon Cho (IEEE Robotics Autom. Lett., 2021)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - 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; et al. (AIMLSystems, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - 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; et al. (CoLLAs, 2022)

Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. - Chia-Wen Kuo; Zsolt Kira (CVPR, 2022)

Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. - Yen-Cheng Liu; Chih-Yao Ma; Zsolt Kira (CVPR, 2022)

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. - Muhammad Zubair Irshad; Sergey Zakharov; Rares Ambrus; Thomas Kollar; Zsolt Kira; Adrien Gaidon (ECCV (2), 2022)

Open-Set Semi-Supervised Object Detection. - Yen-Cheng Liu; Chih-Yao Ma; Xiaoliang Dai; Junjiao Tian; Peter Vajda; Zijian He; Zsolt Kira (ECCV (30), 2022)

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. - Muhammad Zubair Irshad; Thomas Kollar; Michael Laskey; Kevin Stone; Zsolt Kira (ICRA, 2022)

Striking the Right Balance: Recall Loss for Semantic Segmentation. - Junjiao Tian; Niluthpol Chowdhury Mithun; Zachary Seymour; Han-Pang Chiu; Zsolt Kira (ICRA, 2022)

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. - Yen-Cheng Liu; Chih-Yao Ma; Junjiao Tian; Zijian He; Zsolt Kira (NeurIPS, 2022)

A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. - Yen-Chang Hsu; James Seale Smith; Yilin Shen; Zsolt Kira; Hongxia Jin (CoRR, 2022)

A Closer Look at Rehearsal-Free Continual Learning. - James Seale Smith; Junjiao Tian; Yen-Chang Hsu; Zsolt Kira (CoRR, 2022)

Lifelong Wandering: A realistic few-shot online continual learning setting. - Mayank Lunayach; James Seale Smith; Zsolt Kira (CoRR, 2022)

On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition. - Farrukh Rahman; Ömer Mubarek; Zsolt Kira (CoRR, 2022)

FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. - Junjiao Tian; James Seale Smith; Zsolt Kira (CoRR, 2022)

Biological underpinnings for lifelong learning machines. - 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; et al. (Nat. Mach. Intell., 2022)

HomeRobot: Open-Vocabulary Mobile Manipulation. - 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; et al. (CoRL, 2023)

HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. - Chia-Wen Kuo; Zsolt Kira (CVPR, 2023)

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. - James Seale Smith; Paola Cascante-Bonilla; Assaf Arbelle; Donghyun Kim 006; Rameswar Panda; David D. Cox; Diyi Yang; Zsolt Kira; Rogério Feris; Leonid Karlinsky (CVPR, 2023)

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. - James Seale Smith; Leonid Karlinsky; Vyshnavi Gutta; Paola Cascante-Bonilla; Donghyun Kim 006; Assaf Arbelle; Rameswar Panda; Rogério Feris; Zsolt Kira (CVPR, 2023)

A Closer Look at Rehearsal-Free Continual Learning. - James Seale Smith; Junjiao Tian; Shaunak Halbe; Yen-Chang Hsu; Zsolt Kira (CVPR Workshops, 2023)

Trainable Projected Gradient Method for Robust Fine-Tuning. - Junjiao Tian; Xiaoliang Dai; Chih-Yao Ma; Zecheng He; Yen-Cheng Liu; Zsolt Kira (CVPR, 2023)

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. - Muhammad Zubair Irshad; Sergey Zakharov; Katherine Liu; Vitor Guizilini; Thomas Kollar; Adrien Gaidon; Zsolt Kira; Rares Ambrus (ICCV, 2023)

BC-IRL: Learning Generalizable Reward Functions from Demonstrations. - Andrew Szot; Amy Zhang 001; Dhruv Batra; Zsolt Kira; Franziska Meier (ICLR, 2023)

Adaptive Coordination in Social Embodied Rearrangement. - Andrew Szot; Unnat Jain; Dhruv Batra; Zsolt Kira; Ruta Desai; Akshara Rai (ICML, 2023)

Communication-Critical Planning via Multi-Agent Trajectory Exchange. - Nathaniel Moore Glaser; Zsolt Kira (ICRA, 2023)

ConstraintMatch for Semi-constrained Clustering. - Jann Goschenhofer; Bernd Bischl; Zsolt Kira (IJCNN, 2023)

Training Energy-Based Normalizing Flow with Score-Matching Objectives. - Chen-Hao Chao; Wei-Fang Sun; Yen-Chang Hsu; Zsolt Kira; Chun-Yi Lee (NeurIPS, 2023)

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. - Yash Jain; Harkirat S. Behl; Zsolt Kira; Vibhav Vineet (NeurIPS, 2023)

Fast Trainable Projection for Robust Fine-tuning. - Junjiao Tian; Yen-Cheng Liu; James Seale Smith; Zsolt Kira (NeurIPS, 2023)

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. - Chia-Wen Kuo; Chih-Yao Ma; Judy Hoffman; Zsolt Kira (WACV, 2023)

OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. - Karmesh Yadav; Arjun Majumdar; Ram Ramrakhya; Naoki Yokoyama; Alexei Baevski; Zsolt Kira; Oleksandr Maksymets; Dhruv Batra (CoRR, 2023)

We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving. - Nathaniel Moore Glaser; Zsolt Kira (CoRR, 2023)

CLIP-GCD: Simple Language Guided Generalized Category Discovery. - Rabah Ouldnoughi; Chia-Wen Kuo; Zsolt Kira (CoRR, 2023)

HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. - Shaunak Halbe; James Seale Smith; Junjiao Tian; Zsolt Kira (CoRR, 2023)

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. - Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Judy Hoffman; Zsolt Kira; Duen Horng Chau (CoRR, 2023)

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. - Yafei Hu; Quanting Xie; Vidhi Jain; Jonathan Francis; Jay Patrikar; Nikhil Varma Keetha; Seungchan Kim; Yaqi Xie 001; Tianyi Zhang 014; Shibo Zhao; Yu Quan Chong; Chen Wang 033; et al. (CoRR, 2023)

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. - Mukul Khanna; Ram Ramrakhya; Gunjan Chhablani; Sriram Yenamandra; Théophile Gervet; Matthew Chang; Zsolt Kira; Devendra Singh Chaplot; Dhruv Batra; Roozbeh Mottaghi (CVPR, 2024)

Seeing the Unseen: Visual Common Sense for Semantic Placement. - Ram Ramrakhya; Aniruddha Kembhavi; Dhruv Batra; Zsolt Kira; Kuo-Hao Zeng; Luca Weihs (CVPR, 2024)

Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. - James Seale Smith; Yen-Chang Hsu; Zsolt Kira; Yilin Shen; Hongxia Jin (CVPR Workshops, 2024)

Adaptive Memory Replay for Continual Learning. - James Seale Smith; Lazar Valkov; Shaunak Halbe; Vyshnavi Gutta; Rogério Feris; Zsolt Kira; Leonid Karlinsky (CVPR Workshops, 2024)

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. - Junjiao Tian; Lavisha Aggarwal; Andrea Colaco; Zsolt Kira; Mar González-Franco (CVPR, 2024)

Reinforcement Learning via Auxiliary Task Distillation. - Abhinav Narayan Harish; Larry Heck; Josiah P. Hanna; Zsolt Kira; Andrew Szot (ECCV (81), 2024)

NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. - Muhammad Zubair Irshad; Sergey Zakharov; Vitor Guizilini; Adrien Gaidon; Zsolt Kira; Rares Ambrus (ECCV (88), 2024)

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. - 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; et al. (ICLR, 2024)

N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence. - Nathaniel Moore Glaser; Rajashree Ravi; Zsolt Kira (ICRA, 2024)

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. - Mayank Lunayach; Sergey Zakharov; Dian Chen 005; Rares Ambrus; Zsolt Kira; Muhammad Zubair Irshad (ICRA, 2024)

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. - Gunshi Gupta; Karmesh Yadav; Yarin Gal; Dhruv Batra; Zsolt Kira; Cong Lu; Tim G. J. Rudner (NeurIPS, 2024)

Grounding Multimodal Large Language Models in Actions. - Andrew Szot; Bogdan Mazoure; Harsh Agrawal; R. Devon Hjelm; Zsolt Kira; Alexander Toshev (NeurIPS, 2024)

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models. - Junjiao Tian; Chengyue Huang; Zsolt Kira (NeurIPS, 2024)

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. - Ran Liu; Sahil Khose; Jingyun Xiao; Lakshmi Sathidevi; Keerthan Ramnath; Zsolt Kira; Eva L. Dyer (WACV, 2024)

Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. - Harsh Maheshwari; Yen-Cheng Liu; Zsolt Kira (WACV, 2024)

ICE-G: Image Conditional Editing of 3D Gaussian Splats. - Vishnu Jaganathan; Hannah Hanyun Huang; Muhammad Zubair Irshad; Varun Jampani; Amit Raj; Zsolt Kira (CoRR, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - 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; et al. (CoRR, 2024)

ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. - Ahmad Elawady; Gunjan Chhablani; Ram Ramrakhya; Karmesh Yadav; Dhruv Batra; Zsolt Kira; Andrew Szot (CoRR, 2024)

Neural Fields in Robotics: A Survey. - Muhammad Zubair Irshad; Mauro Comi; Yen-Chen Lin; Nick Heppert; Abhinav Valada; Rares Ambrus; Zsolt Kira; Jonathan Tremblay (CoRR, 2024)

Adversarial Attacks Using Differentiable Rendering: A Survey. - Matthew Hull; Chao Zhang; Zsolt Kira; Duen Horng Chau (CoRR, 2024)

Grounding Descriptions in Images informs Zero-Shot Visual Recognition. - Shaunak Halbe; Junjiao Tian; K. J. Joseph; James Seale Smith; Katherine Stevo; Vineeth N. Balasubramanian; Zsolt Kira (CoRR, 2024)

Continual Adaptation of Vision Transformers for Federated Learning. - Shaunak Halbe; James Seale Smith; Junjiao Tian; Zsolt Kira (Trans. Mach. Learn. Res., 2024)

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. - James Seale Smith; Yen-Chang Hsu; Lingyu Zhang; Ting Hua; Zsolt Kira; Yilin Shen; Hongxia Jin (Trans. Mach. Learn. Res., 2024)

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion. - Jeremiah M. Coholich; Muhammad Ali Murtaza; Seth Hutchinson 001; Zsolt Kira (ACC, 2025)

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering. - Chengyue Huang; Brisa Maneechotesuwan; Shivang Chopra; Zsolt Kira (CVPR, 2025)

When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach. - Vaibhav Rathore; Shubhranil B; Saikat Dutta; Sarthak Mehrotra; Zsolt Kira; Biplab Banerjee (CVPR, 2025)

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. - Andrew Szot; Bogdan Mazoure; Omar Attia; Aleksei Timofeev; Harsh Agrawal; R. Devon Hjelm; Zhe Gan; Zsolt Kira; Alexander Toshev (CVPR, 2025)

Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding. - Akash Kumar 016; Zsolt Kira; Yogesh S. Rawat (ICLR, 2025)

Directional Gradient Projection for Robust Fine-Tuning of Foundation Models. - Chengyue Huang; Junjiao Tian; Brisa Maneechotesuwan; Shivang Chopra; Zsolt Kira (ICLR, 2025)

Safe Reinforcement Learning Using Robust Control Barrier Functions. - Yousef Emam; Gennaro Notomista; Paul Glotfelter; Zsolt Kira; Magnus Egerstedt (IEEE Robotics Autom. Lett., 2025)

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning. - Ram Ramrakhya; Matthew Chang; Xavier Puig; Ruta Desai; Zsolt Kira; Roozbeh Mottaghi (CoRR, 2025)

Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars. - Eric Squires; Phillip Odom; Zsolt Kira (CoRR, 2025)

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models. - Chengyue Huang; Yuchen Zhu; Sichen Zhu; Jingyun Xiao; Moises Andrade; Shivang Chopra; Zsolt Kira (CoRR, 2025)

MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding. - Shivang Chopra; Gabriela Sanchez-Rodriguez; Lingchao Mao; Andrew J. Feola; Jing Li; Zsolt Kira (CoRR, 2025)

FindingDory: A Benchmark to Evaluate Memory in Embodied Agents. - Karmesh Yadav; Yusuf Ali; Gunshi Gupta; Yarin Gal; Zsolt Kira (CoRR, 2025)

EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction. - Xinan Zhang; Muhammad Zubair Irshad; Anthony Yezzi; Yi-Chang Tsai 001; Zsolt Kira (CoRR, 2025)

Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification. - Moises Andrade; Joonhyuk Cha; Brandon Ho; Vriksha Srihari; Karmesh Yadav; Zsolt Kira (CoRR, 2025)