| 2025 | ICLR | Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning. | Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh |
| 2025 | ICRA | Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach. | Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh |
| 2025 | IROS | Automatic Real-to-Sim-to-Real System through Iterative Interactions for Robust Robot Manipulation Policy Learning with Unseen Objects. | Minjae Kang, Hogun Kee, Hosung Lee, Songhwai Oh |
| 2025 | IROS | Language-Guided Hierarchical Planning with Scene Graphs for Tabletop Object Rearrangement. | Wooseok Oh, Hogun Kee, Songhwai Oh |
| 2025 | IROS | Context-Aware Multi-Agent Trajectory Transformer. | Jeongho Park, Songhwai Oh |
| 2024 | ICRA | MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity. | Hojun Chung, Jeongwoo Oh, Jaeseok Heo, Gunmin Lee, Songhwai Oh |
| 2024 | ICRA | WayIL: Image-based Indoor Localization with Wayfinding Maps. | Obin Kwon, Dongki Jung, Youngji Kim, Soohyun Ryu, Suyong Yeon, Songhwai Oh, Donghwan Lee |
| 2024 | IROS | Unsupervised 3D Part Decomposition via Leveraged Gaussian Splatting. | Jaegoo Choy, Geonho Cha, Hogun Kee, Songhwai Oh |
| 2024 | IROS | Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning. | Howoong Jun, Hyeonwoo Yu, Songhwai Oh |
| 2024 | IROS | Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing. | Minjae Kang, Hogun Kee, Yoseph Park, Junseok Kim, Jaeyeon Jeong, Geunje Cheon, Jaewon Lee, Songhwai Oh |
| 2024 | IROS | RNR-Nav: A Real-World Visual Navigation System Using Renderable Neural Radiance Maps. | Minsoo Kim, Obin Kwon, Howoong Jun, Songhwai Oh |
| 2024 | IROS | Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards. | Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh |
| 2023 | CVPR | Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding. | Minyoung Hwang, Jaeyeon Jeong, Minsoo Kim, Yoonseon Oh, Songhwai Oh |
| 2023 | CVPR | Renderable Neural Radiance Map for Visual Navigation. | Obin Kwon, Jeongho Park, Songhwai Oh |
| 2023 | ICRA | SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects. | Hogun Kee, Minjae Kang, Dohyeong Kim, Jaegoo Choy, Songhwai Oh |
| 2023 | ICRA | SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search. | Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh |
| 2023 | IROS | Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View. | Minjae Kang, Junseok Kim, Hogun Kee, Songhwai Oh |
| 2023 | IROS | Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning. | Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, Songhwai Oh |
| 2022 | AAAI | Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. | Seunggyu Chang, Jungchan Cho, Songhwai Oh |
| 2022 | CoRL | Topological Semantic Graph Memory for Image-Goal Navigation. | Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh |
| 2022 | ICRA | Visually Grounding Language Instruction for History-Dependent Manipulation. | Hyemin Ahn, Obin Kwon, Kyungdo Kim, Jaeyeon Jeong, Howoong Jun, Hongjung Lee, Dongheui Lee, Songhwai Oh |
| 2022 | IROS | RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving. | Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, Songhwai Oh |
| 2022 | IROS | Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search. | Minjae Kang, Hogun Kee, Junseok Kim, Songhwai Oh |
| 2022 | IROS | SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration. | Dohyeong Kim, Jaeseok Heo, Songhwai Oh |
| 2022 | IROS | Safety Guided Policy Optimization. | Dohyeong Kim, Yunho Kim, Kyungjae Lee, Songhwai Oh |
| 2022 | IROS | Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. | Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, Songhwai Oh |
| 2021 | ICCV | Visual Graph Memory with Unsupervised Representation for Visual Navigation. | Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, Songhwai Oh |
| 2021 | IROS | Road Graphical Neural Networks for Autonomous Roundabout Driving. | Timothy Ha, Gunmin Lee, Dohyeong Kim, Songhwai Oh |
| 2020 | ICRA | Hierarchical 6-DoF Grasping with Approaching Direction Selection. | Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, Songhwai Oh |
| 2020 | IROS | Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model. | Kyungdo Kim, Yoon Kyung Lee, Hyemin Ahn, Sowon Hahn, Songhwai Oh |
| 2020 | IROS | No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping. | Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, Songhwai Oh |
| 2020 | IROS | MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. | Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh |
| 2019 | CVPR | Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. | Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh |
| 2019 | ICCV | Deep Elastic Networks With Model Selection for Multi-Task Learning. | Chanho Ahn, Eunwoo Kim, Songhwai Oh |
| 2019 | ICCV | Unsupervised 3D Reconstruction Networks. | Geonho Cha, Minsik Lee, Songhwai Oh |
| 2019 | ICRA | Distributional Deep Reinforcement Learning with a Mixture of Gaussians. | Yunho Choi, Kyungjae Lee, Songhwai Oh |
| 2019 | IROS | Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules. | Kyunghoon Cho, Timothy Ha, Gunmin Lee, Songhwai Oh |
| 2019 | IROS | Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. | Minjae Kang, Kyungjae Lee, Songhwai Oh |
| 2018 | CVPR | NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. | Eunwoo Kim, Chanho Ahn, Songhwai Oh |
| 2018 | ECCV | Unsupervised Holistic Image Generation from Key Local Patches. | Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh |
| 2018 | ICRA | Text2Action: Generative Adversarial Synthesis from Language to Action. | Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, Songhwai Oh |
| 2018 | ICRA | Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. | Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh |
| 2018 | ICRA | A Nonparametric Motion Flow Model for Human Robot Cooperation. | Sungjoon Choi, Kyungjae Lee, Hyungju Andy Park, Songhwai Oh |
| 2018 | ICRA | Learning-Based Model Predictive Control Under Signal Temporal Logic Specifications. | Kyunghoon Cho, Songhwai Oh |
| 2017 | IROS | Scalable robust learning from demonstration with leveraged deep neural networks. | Sungjoon Choi, Kyungjae Lee, Songhwai Oh |
| 2016 | CVPR | Consensus of Non-rigid Reconstructions. | Minsik Lee, Jungchan Cho, Songhwai Oh |
| 2016 | ECCV | Individualness and Determinantal Point Processes for Pedestrian Detection. | Donghoon Lee, Geonho Cha, Ming-Hsuan Yang, Songhwai Oh |
| 2016 | ICRA | Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization. | Sungjoon Choi, Kyungjae Lee, Songhwai Oh |
| 2016 | ICRA | Multiple-hypothesis chance-constrained target tracking under identity uncertainty. | Yoonseon Oh, Songhwai Oh |
| 2016 | IROS | Gaussian random paths for real-time motion planning. | Sungjoon Choi, Kyungjae Lee, Songhwai Oh |
| 2016 | IROS | Robust modeling and prediction in dynamic environments using recurrent flow networks. | Sungjoon Choi, Kyungjae Lee, Songhwai Oh |
| 2016 | IROS | Inverse reinforcement learning with leveraged Gaussian processes. | Kyungjae Lee, Sungjoon Choi, Songhwai Oh |
| 2015 | BMVC | Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking. | Moonsub Byeon, Songhwai Oh, Kikyung Kim, Haan-Ju Yoo, Jin Young Choi |
| 2015 | CVPR | Elastic-net regularization of singular values for robust subspace learning. | Eunwoo Kim, Minsik Lee, Songhwai Oh |
| 2015 | ICCV | Fast and Accurate Head Pose Estimation via Random Projection Forests. | Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh |
| 2015 | ICRA | Leveraged non-stationary Gaussian process regression for autonomous robot navigation. | Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, Songhwai Oh |
| 2015 | ICRA | Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation. | Eunwoo Kim, Sungjoon Choi, Songhwai Oh |
| 2015 | ICRA | Chance-constrained target tracking for mobile robots. | Yoonseon Oh, Sungjoon Choi, Songhwai Oh |
| 2014 | CVPR | A Procrustean Markov Process for Non-rigid Structure Recovery. | Minsik Lee, Chong-Ho Choi, Songhwai Oh |
| 2014 | ICRA | Real-time navigation in crowded dynamic environments using Gaussian process motion control. | Sungjoon Choi, Eunwoo Kim, Songhwai Oh |
| 2014 | IROS | A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation. | Eunwoo Kim, Sungjoon Choi, Songhwai Oh |
| 2013 | BMVC | Action Chart: A Representation for Efficient Recognition of Complex Activity. | Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, Jin Young Choi |
| 2013 | CVPR | Procrustean Normal Distribution for Non-rigid Structure from Motion. | Minsik Lee, Jungchan Cho, Chong-Ho Choi, Songhwai Oh |
| 2013 | RO-MAN | Human behavior prediction for smart homes using deep learning. | Sungjoon Choi, Eunwoo Kim, Songhwai Oh |
| 2012 | IROS | A cost-aware path planning algorithm for mobile robots. | Junghun Suh, Songhwai Oh |
| 2012 | RTCSA | Vibration-Based Surface Recognition for Smartphones. | Jungchan Cho, Inhwan Hwang, Songhwai Oh |
| 2012 | RTCSA | Privacy-Aware Communication for Smartphones Using Vibration. | Inhwan Hwang, Jungchan Cho, Songhwai Oh |
| 2011 | DCOSS | A distributed deterministic approximation algorithm for data association. | Songhwai Oh |
| 2011 | RTCSA | Virtual Lock: A Smartphone Application for Personal Surveillance Using Camera Sensor Networks. | Sangseok Yoon, Hyeongseok Oh, Donghoon Lee, Songhwai Oh |
| 2010 | ICPR | Recovery Video Stabilization Using MRF-MAP Optimization. | Soo Wan Kim, Kwang Moo Yi, Songhwai Oh, Jin Young Choi |
| 2008 | ACSSC | Target tracking in urban environments using audio-video signal processing in heterogeneous wireless sensor networks. | Manish Kushwaha, Songhwai Oh, Isaac Amundson, Xenofon D. Koutsoukos, kos Ldeczi |
| 2007 | ACC | Approximate Estimation of Distributed Networked Control Systems. | Songhwai Oh, Shankar Sastry |
| 2007 | ICCV | Automatic Camera Network Localization using Object Image Tracks. | Marci Meingast, Songhwai Oh, Shankar Sastry |
| 2006 | ICRA | Instrumenting Wireless Sensor Networks for Real-time Surveillance. | Songhwai Oh, Phoebus Chen, Michael Manzo, Shankar Sastry |
| 2005 | ICRA | A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks. | Songhwai Oh, Luca Schenato, Shankar Sastry |
| 2005 | ICRA | Swarm Coordination for Pursuit Evasion Games using Sensor Networks. | Luca Schenato, Songhwai Oh, Shankar Sastry, Prasanta K. Bose |