Agrim Gupta


I am a PhD student at Stanford University advised by Prof. Fei-Fei Li.


Publications

Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang & José Lezama
arXiv
[arXiv][website][video]

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
Co-lead Agrim Gupta
TMLR
[arXiv][website]

Siamese Masked Autoencoders
Agrim Gupta, Jiajun Wu, Jia Deng & Li Fei-Fei
NeurIPS 2023 Oral
[arXiv][website]

VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta*, Zichen Zhang*, Guanzhi Wang*, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu & Linxi Fan
ICML 2023
[arXiv][code][website]

MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín & Li Fei-Fei
ICLR 2023
[arXiv][website]

MetaMorph: Learning Universal Controllers with Transformers
Agrim Gupta, Linxi Fan, Surya Ganguli, & Li Fei-Fei
ICLR 2022
[arXiv][code][website][video]

Embodied Intelligence via Learning and Evolution
Agrim Gupta, Silvio Savarese, Surya Ganguli, & Li Fei-Fei
Nature Communications
[nature][code][video][supp video][Economist][MIT Technology Review]

LVIS: A Dataset for Large Vocabulary Instance Segmentation
Agrim Gupta, Piotr Dollár, & Ross Girshick
CVPR 2019
[arXiv][code][website]

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, & Alexandre Alahi
CVPR 2018
[arXiv][code]

Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, & Li Fei-Fei
CVPR 2018
[arXiv][code]

Characterizing and Improving Stability in Neural Style Transfer
Agrim Gupta, Justin Johnson, Alexandre Alahi, & Li Fei-Fei
ICCV 2017
[arXiv]