research
∙
08/10/2023
Neural Progressive Meshes
The recent proliferation of 3D content that can be consumed on hand-held...
share
research
∙
10/20/2022
Breaking Bad: A Dataset for Geometric Fracture and Reassembly
We introduce Breaking Bad, a large-scale dataset of fractured objects. O...
research
∙
08/25/2022
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands
The study of hand-object interaction requires generating viable grasp po...
research
∙
06/29/2022
Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
The pipeline of current robotic pick-and-place methods typically consist...
research
∙
05/30/2022
Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors
Learning to autonomously assemble shapes is a crucial skill for many rob...
research
∙
01/18/2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
We present an approach for physical imitation from human videos for robo...
research
∙
08/26/2020
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Recent work has shown that the structure of deep convolutional neural ne...
research
∙
08/25/2020
Learning to Learn in a Semi-Supervised Fashion
To address semi-supervised learning from both labeled and unlabeled data...
research
∙
03/31/2020
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Establishing dense semantic correspondences between object instances rem...
research
∙
02/19/2020
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
Person re-identification (re-ID) aims at matching images of the same per...
research
∙
01/09/2020
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Unsupervised domain adaptation algorithms aim to transfer the knowledge ...
research
∙
08/16/2019
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
Person re-identification (re-ID) aims at matching images of the same ide...
research
∙
07/25/2019
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Person re-identification (re-ID) solves the task of matching images acro...
research
∙
06/13/2019
Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation
We present an approach for jointly matching and segmenting object instan...
research
∙
02/09/2018