Yuxiang Zhou | DeepAI

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∙ 06/20/2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation

The ability to leverage heterogeneous robotic experience from different ...

0 Konstantinos Bousmalis, et al. ∙

∙ 05/22/2023

Distilling ChatGPT for Explainable Automated Student Answer Assessment

Assessing student answers and providing valuable feedback is crucial for...

0 Jiazheng Li, et al. ∙

∙ 04/13/2023

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation

Recent works have shown that large models pretrained on common visual le...

1 Mohit Sharma, et al. ∙

∙ 05/06/2022

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation

Reinforcement learning (RL) has been shown to be effective at learning c...

0 Alex X. Lee, et al. ∙

∙ 10/12/2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

We study the problem of robotic stacking with objects of complex geometr...

0 Alex X. Lee, et al. ∙

∙ 03/16/2021

Manipulator-Independent Representations for Visual Imitation

Imitation learning is an effective tool for robotic learning tasks where...

0 Yuxiang Zhou, et al. ∙

∙ 01/21/2021

Learning rich touch representations through cross-modal self-supervision

The sense of touch is fundamental in several manipulation tasks, but rar...

0 Martina Zambelli, et al. ∙

∙ 10/16/2020

Learning Dexterous Manipulation from Suboptimal Experts

Learning dexterous manipulation in high-dimensional state-action spaces ...

0 Rae Jeong, et al. ∙

∙ 01/13/2020

Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition

Typical Magnetic Resonance Imaging (MRI) scan may take 20 to 60 minutes....

70 Pak Lun Kevin Ding, et al. ∙

∙ 10/21/2019

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

Collecting and automatically obtaining reward signals from real robotic ...

0 Rae Jeong, et al. ∙

∙ 05/02/2019

RetinaFace: Single-stage Dense Face Localisation in the Wild

Though tremendous strides have been made in uncontrolled face detection,...

0 Jiankang Deng, et al. ∙

∙ 04/06/2019

Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

3D Morphable Models (3DMMs) are statistical models that represent facial...

0 Yuxiang Zhou, et al. ∙

∙ 03/25/2019

MeshGAN: Non-linear 3D Morphable Models of Faces

Generative Adversarial Networks (GANs) are currently the method of choic...

8 Shiyang Cheng, et al. ∙

∙ 12/13/2017

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

Recently proposed robust 3D face alignment methods establish either dens...

0 Jiankang Deng, et al. ∙

∙ 08/23/2017

The Unconstrained Ear Recognition Challenge

In this paper we present the results of the Unconstrained Ear Recognitio...

0 Žiga Emeršič, et al. ∙

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