25 citations · 75 across the 32 of their papers we have counts for
11 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…
Component attention network for multimodal dance improvisation recognition
Jia Fu, Jiarui Tan, Wenjie Yin +2
Dance improvisation is an active research topic in the arts. Motion analysis of improvised dance can be challenging due to its unique dynamics. Data-driven dance motion analysis, i…
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…
Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration
Parag Khanna, Elmira Yadollahi, Mårten Björkman +2
Despite significant improvements in robot capabilities, they are likely to fail in human-robot collaborative tasks due to high unpredictability in human environments and varying hu…
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
Marcel Büsching, Josef Bengtson, David Nilsson +1
We introduce FlowIBR, a novel approach for efficient monocular novel view synthesis of dynamic scenes. Existing techniques already show impressive rendering quality but tend to foc…
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence
Tanay Rastogi, Mårten Björkman
Time-space diagrams are essential tools for analyzing traffic patterns and optimizing transportation infrastructure and traffic management strategies. Traditional data collection m…
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…
A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers
Parag Khanna, Mårten Björkman, Christian Smith
Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes m…
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…
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
Parag Khanna, Elmira Yadollahi, Mårten Björkman +2
Despite great advances in what robots can do, they still experience failures in human-robot collaborative tasks due to high randomness in unstructured human environments. Moreover,…
Data-driven Grip Force Variation in Robot-Human Handovers
Parag Khanna, Mårten Björkman, Christian Smith
Handovers frequently occur in our social environments, making it imperative for a collaborative robotic system to master the skill of handover. In this work, we aim to investigate…