25 citations · 75 across the 32 of their papers we have counts for
13 papers · 1 filter
ClothAtlas: Joint Garment Identification and State Estimation under Self-Occlusion
Jens Lundell, Alberta Longhini, Lei Shu +6
Garment manipulation requires inferring both garment identity and complete configuration from partial, self-occluded observations. This creates a chicken-and-egg problem: completin…
DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting
Holly Dinkel, Marcel Büsching, Alberta Longhini +5
This work presents DLO-Splatting, an algorithm for estimating the 3D shape of Deformable Linear Objects (DLOs) from multi-view RGB images and gripper state information through pred…
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision
Alberta Longhini, Marcel Büsching, Bardienus P. Duisterhof +4
We introduce Cloth-Splatting, a method for estimating 3D states of cloth from RGB images through a prediction-update framework. Cloth-Splatting leverages an action-conditioned dyna…
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset
Xiaomeng Zhu, Talha Bilal, Pär Mårtensson +3
This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap…
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…
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…
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…
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
Wenjie Yin, Hang Yin, Danica Kragic +1
Data-driven approaches for modeling human skeletal motion have found various applications in interactive media and social robotics. Challenges remain in these fields for generating…
Hyperplane Arrangements of Trained ConvNets Are Biased
Matteo Gamba, Stefan Carlsson, Hossein Azizpour +1
We investigate the geometric properties of the functions learned by trained ConvNets in the preactivation space of their convolutional layers, by performing an empirical study of h…
Feature Descriptors for Tracking by Detection: a Benchmark
Alessandro Pieropan, Mårten Björkman, Niklas Bergström +1
In this paper, we provide an extensive evaluation of the performance of local descriptors for tracking applications. Many different descriptors have been proposed in the literature…