Nikolaos Gkanatsios
ngkanats@andrew.cmu.edu

I am a PhD student at the Robotics Institute of Carnegie Mellon University, advised by Prof. Katerina Fragkiadaki. Previously, I received my M.Sc./B.Sc. Diploma in Electrical and Computer Engineering from National Technical University of Athens in Greece, where I also spent 2 more years working with Prof. Petros Maragos.

While at CMU, I had the opportunity to intern at NVIDIA Seattle Robotics Lab. Before joining CMU, I worked as an ML Engineer/Researcher at Deeplab on Scene Graph Generation. Before Deeplab, I also worked at METIS Cybetechnology as an AI Engineer on Natural Language Processing systems.

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Publications

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3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke*, Nikolaos Gkanatsios*, Katerina Fragkiadaki
Conference on Robot Learning, CoRL, 2024

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Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki
Conference on Computer Vision and Pattern Recognition, CVPR, 2024

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ODIN: A Single Model for 2D and 3D Segmentation
Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
Conference on Computer Vision and Pattern Recognition, CVPR, 2024

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ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation
Zhou Xian*, Nikolaos Gkanatsios*, Theophile Gervet*, Tsung-Wei Ke, Katerina Fragkiadaki
Conference on Robot Learning, CoRL, 2023

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Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Theophile Gervet*, Zhou Xian*, Nikolaos Gkanatsios, Katerina Fragkiadaki
Conference on Robot Learning, CoRL, 2023

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Analogy-Forming Transformers for Few-Shot 3D Parsing
Nikolaos Gkanatsios*, Mayank Singh*, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki
International Conference on Learning Representations, ICLR, 2023

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Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
Nikolaos Gkanatsios*, Ayush Jain*, Zhou Xian, Yunchu Zhang, Chris Atkeson, Katerina Fragkiadaki
Robotics: Science and Systems, RSS, 2023

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Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds
Ayush Jain*, Nikolaos Gkanatsios*, Ishita Mediratta, Katerina Fragkiadaki
European Conference on Computer Vision, ECCV, 2022

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Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection
Markos Diomataris, Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Maragos
International Conference on Computer Vision, ICCV, 2021

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From Saturation to Zero-Shot Visual Relationship Detection Using Local Context
Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Maragos
British Machine Vision Conference, BMVC, 2020

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Revisiting Grasp Map Representation with a Focus on Orientation in Grasp Synthesis
Nikolaos Gkanatsios, Georgia Chalvatzaki, Petros Maragos, Jan Peters
Visual Learning and Reasoning for Robotic Manipulation, RSS Workshop, 2020

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Attention-Translation-Relation Network for Scalable Scene Graph Generation
Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras, Petros Maragos
Scene Graph Representation and Learning, ICCV Workshop, 2019

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Showcasing Deeply Supervised Multimodal Attentional Translation Embeddings: a Demo for Visual Relationship Detection
Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras, Athanasia Zlatintsi, Petros Maragos
International Conference of Image Processing (ICIP), 2019

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Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection
Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras, Athanasia Zlatintsi, Petros Maragos
International Conference of Image Processing (ICIP), 2019 (oral)

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Metis: A Scalable Natural-Language-Based Intelligent Personal Assistant for Maritime Services
Nikolaos Gkanatsios, Konstantina Mermikli, Serafeim Katsikas
International Conference of Information and Software Technologies (ICIST), 2018 (oral)



News


Other Projects

A (not exhaustive) list of some unpublished projects and less technical stuff is here.

Template stolen from Georgia Gkioxari