Yun-Chun Chen | DeepAI

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∙ 08/10/2023

Neural Progressive Meshes

The recent proliferation of 3D content that can be consumed on hand-held...

0 Yun-Chun Chen, et al. ∙

∙ 10/20/2022

Breaking Bad: A Dataset for Geometric Fracture and Reassembly

We introduce Breaking Bad, a large-scale dataset of fractured objects. O...

14 Silvia Sellán, et al. ∙

∙ 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...

0 Dylan Turpin, et al. ∙

∙ 06/29/2022

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions

The pipeline of current robotic pick-and-place methods typically consist...

8 Yun-Chun Chen, et al. ∙

∙ 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...

3 Yun-Chun Chen, et al. ∙

∙ 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...

7 Haoyu Xiong, et al. ∙

∙ 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...

14 Yun-Chun Chen, et al. ∙

∙ 08/25/2020

Learning to Learn in a Semi-Supervised Fashion

To address semi-supervised learning from both labeled and unlabeled data...

21 Yun-Chun Chen, et al. ∙

∙ 03/31/2020

Deep Semantic Matching with Foreground Detection and Cycle-Consistency

Establishing dense semantic correspondences between object instances rem...

3 Yun-Chun Chen, et al. ∙

∙ 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...

0 Yu-Jhe Li, et al. ∙

∙ 01/09/2020

CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency

Unsupervised domain adaptation algorithms aim to transfer the knowledge ...

29 Yun-Chun Chen, et al. ∙

∙ 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...

0 Yu-Jhe Li, et al. ∙

∙ 07/25/2019

Learning Resolution-Invariant Deep Representations for Person Re-Identification

Person re-identification (re-ID) solves the task of matching images acro...

4 Yun-Chun Chen, et al. ∙

∙ 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...

0 Yun-Chun Chen, et al. ∙

∙ 02/09/2018

Deep Learning for Malicious Flow Detection

Cyber security has grown up to be a hot issue in recent years. How to id...

0 Yun-Chun Chen, et al. ∙

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