Max Argus

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Visual Servoing

Top Venues

Publications

Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning. CoRR (2024)
Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
Compositional Servoing by Recombining Demonstrations. ICRA (2024)
Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
DITTO: Demonstration Imitation by Trajectory Transformation. CoRR (2024)
Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR (2024)
Simon Schrodi, Julian Schur, Max Argus, Thomas Brox
Concept Bottleneck Models Without Predefined Concepts. CoRR (2024)
Silvio Galesso, Max Argus, Thomas Brox
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection. ICCV (Workshops) (2023)
Karim Farid, Simon Schrodi, Max Argus, Thomas Brox
Latent Diffusion Counterfactual Explanations. CoRR (2023)
Simon Schrodi, Ferdinand Briegel, Max Argus, Andreas Christen, Thomas Brox
Climate-sensitive Urban Planning through Optimization of Tree Placements. CoRR (2023)
Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
Compositional Servoing by Recombining Demonstrations. CoRR (2023)
Sergio Izquierdo, Max Argus, Thomas Brox
Conditional Visual Servoing for Multi-Step Tasks. IROS (2022)
Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard
RobotIO: A Python Library for Robot Manipulation Experiments. CoRR (2022)
Sergio Izquierdo, Max Argus, Thomas Brox
Conditional Visual Servoing for Multi-Step Tasks. CoRR (2022)
Silvio Galesso, Max Argus, Thomas Brox
Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection. CoRR (2022)
Christian Zimmermann, Max Argus, Thomas Brox
Contrastive Representation Learning for Hand Shape Estimation. CoRR (2021)
Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. CoRR (2021)
Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox
Temporal Shift GAN for Large Scale Video Generation. WACV (2021)
Christian Zimmermann, Max Argus, Thomas Brox
Contrastive Representation Learning for Hand Shape Estimation. GCPR (2021)
Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA (2020)
Max Argus, Lukás Hermann, Jon Long, Thomas Brox
FlowControl: Optical Flow Based Visual Servoing. CoRR (2020)
Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox
Multi-Variate Temporal GAN for Large Scale Video Generation. CoRR (2020)
Max Argus, Lukás Hermann, Jon Long, Thomas Brox
FlowControl: Optical Flow Based Visual Servoing. IROS (2020)
Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max Argus, Thomas Brox
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images. CoRR (2019)
Max Argus, Cornelia Schaefer-Prokop, David A. Lynch, Bram van Ginneken
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans. CoRR (2019)
Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. CoRR (2019)
Aditya Bhatt, Max Argus, Artemij Amiranashvili, Thomas Brox
CrossNorm: Normalization for Off-Policy TD Reinforcement Learning. CoRR (2019)
Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell
Loss is its own Reward: Self-Supervision for Reinforcement Learning. ICLR (Workshop) (2017)
Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell
Loss is its own Reward: Self-Supervision for Reinforcement Learning. CoRR (2016)