9 citations · 33 across the 67 of their papers we have counts for
10 papers · 1 filter
Scalable Motion Style Transfer with Constrained Diffusion Generation
Wenjie Yin, Yi Yu, Hang Yin +2
Current training of motion style transfer systems relies on consistency losses across style domains to preserve contents, hindering its scalable application to a large number of do…
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
Giovanni Luca Marchetti, Christopher Hillar, Danica Kragic +1
In this work, we formally prove that, under certain conditions, if a neural network is invariant to a finite group then its weights recover the Fourier transform on that group. Thi…
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Noémie Jaquier, Michael C. Welle, Andrej Gams +6
Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents. The core concept -- reusing prior knowledge to learn in and from novel situat…
CAPGrasp: An Continuous Approach-Constrained Generative Grasp Sampler
Zehang Weng, Haofei Lu, Jens Lundell +1
We propose CAPGrasp, an 6-DoF continuous approach-constrained generative grasp sampler. It includes a novel learning strategy for trai…
Music- and Lyrics-driven Dance Synthesis
Wenjie Yin, Qingyuan Yao, Yi Yu +3
Lyrics often convey information about the songs that are beyond the auditory dimension, enriching the semantic meaning of movements and musical themes. Such insights are important…
Learning Geometric Representations of Objects via Interaction
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin +2
We address the problem of learning representations from observations of a scene involving an agent and an external object the agent interacts with. To this end, we propose a repres…
TD-GEM: Text-Driven Garment Editing Mapper
Reza Dadfar, Sanaz Sabzevari, Mårten Björkman +1
Language-based fashion image editing allows users to try out variations of desired garments through provided text prompts. Inspired by research on manipulating latent representatio…
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
Wenjie Yin, Ruibo Tu, Hang Yin +3
Data-driven and controllable human motion synthesis and prediction are active research areas with various applications in interactive media and social robotics. Challenges remain i…
Ensemble Latent Space Roadmap for Improved Robustness in Visual Action Planning
Martina Lippi, Michael C. Welle, Andrea Gasparri +1
Planning in learned latent spaces helps to decrease the dimensionality of raw observations. In this work, we propose to leverage the ensemble paradigm to enhance the robustness of…
Equivariant Representation Learning in the Presence of Stabilizers
Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic +2
We introduce Equivariant Isomorphic Networks (EquIN) -- a method for learning representations that are equivariant with respect to general group actions over data. Differently from…