Legend: P - Preprints/In Submission, J - Journal, C - Conference, W - Workshop or refereed abstract,R - Tech Report
"Safe Reinforcement Learning using Robust Control Barrier Functions"
IEEE Robotics and Automation Letters, 2022. [arxiv]
"System Design for an Integrated Lifelong Reinforcement Learning Agent For Real-Time Strategy Games"
International Conference on AI-ML Systems, 2022. [arxiv coming soon]
"Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation"
Winter Conference on Applications of Computer Vision (WACV), 2022. [pdf]
"Open-Set Semi-Supervised Object Detection"
European Conference on Computer Vision (ECCV), 2022. [arxiv]
"Lifelong Wandering: A realistic few-shot online continual learning setting"
CVPR Workshop on Continual Learning (CLVISION), 2022. [arxiv]
"Biological underpinnings for lifelong learning machines"
Nature Machine Intelligence, 2022. [Nature]
"Striking the Right Balance: Recall Loss for Semantic Segmentation"
International Conference on Robotics and Automation (ICRA), 2022. [arxiv]
"Habitat 2.0: Training Home Assistants to Rearrange their Habitat"
Neural Information Processing Systems (NeurIPS). [arxiv] [project] [video]
"Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arxiv]
"UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation"
IEEE International Conference on Robotics and Automation (ICRA), 2020.
Also in IROS Workshop on the Importance of Uncertainty in Deep Learning for Robotics, 2019. [arxiv] [github]
"Path Ranking with Attention to Type Hierarchies"
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2019. [arxiv]
"Sub-Task Discovery with Limited Supervision: A Constrained Clustering Approach"
2nd Learning from Limited Labeled Data (LLD) Workshop ICLR 2019. [openreview]
"Adaptation to Dangerous Environments Through Automated Reward Shaping"
Safe Machine Learning Workshop, ICLR 2019. [pdf]
"RoboCSE: Robot Common Sense Embedding"
IEEE International Conference on Robotics and Auomation (ICRA), 2019. [arxiv]
"Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction"
ASCE Journal of Computing in Civil Engineering. 2019. [ASCE]
"Learning to Cluster for Proposal-Free Instance Segmentation"
International Conference on Neural Networks (IJCNN), 2018. [arxiv]
Won 2nd place in CVPR lane detection challenge
Grounded Objects and Interactions for Video Captioning"
NeurIPS Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. [arxiv]
"From Deep Learning to Episodic Memories: Creating Categories of Visual Experiences"
in proceedings of the Third Annual Conference on Advances in Cognitive Systems (ACS), 2015. (Based on previous work here.)
"Mining Structure Fragments for Smart Bundle Adjustment", in proceedings of the British Machine Vision Conference (BMVC), 2014. [pdf]
Oral presentation (7.7% acceptance)
Deep Segments: Comparisons between Scenes and their Constituent Fragments using Deep Learning"
Georgia Tech technical report, GT-CS-14-07, 2014. [pdf]
Transfer of Sparse Coding Representations And Object Classifiers Across Heterogeneous Robots"
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014. [pdf]
"Eliminating Conditionally Independent Sets in Factor Graphs: A Unifying Perspective based on Smart Factors"
in proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2014. [pdf]
"Long-Range Pedestrian Detection using Stereo and a Cascade of Convolutional Network Classifiers"
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. [pdf]
"Detecting Leadership and Cohesion in Spoken Interactions"
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012.
"Inter-Robot Transfer Learning for Perceptual Classification "
9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010. [pdf]
CoTeSys Best Robotics Paper (also nominated for Best Student/Best Paper awards)
Transferring Embodied Concepts between Perceptually Heterogeneous Robots"
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4650-4656, 2009. [pdf]
Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments"
Proceedings of the 22nd International FLAIRS Conference, pp. 57-62, 2009. [pdf]
Best Student Paper award
Exerting Human Control Over Decentralized Robot Swarms"
4th International Conference on Autonomous Robots and Agents, 2009. [pdf]
Modeling Robot Differences by Leveraging a Physically Shared Context"
in L. Berthouze, C.G. Prince, M. Littman, H. Kozima, & C. Balkenius (Eds.), Proceedings of the Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, pp. 53-59, 2007. Sweden: Lund University Cognitive Studies. [pdf]
"Modeling Cross-Sensory and Sensorimotor Correlations to Detect and Localize Faults in Mobile Robots"
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1520-1550, 2007. San Diego, CA, USA. [pdf]
"Continuous and Embedded Learning for Multi-Agent Systems"
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3184-3190, 2006. [pdf]
"Spatio-Temporal Case Based Reasoning for Efficient Reactive Robot Navigation"
"Self Organization in Artificial Intelligence and the Brain"