activity
20102023
most citedSSD: Single Shot MultiBox Detector

22k citations · 33.6k across the 29 of their papers we have counts for

collaborators

30 papers

cs.CV2023★ 1 cited

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas +7

Generating video stories from text prompts is a complex task. In addition to having high visual quality, videos need to realistically adhere to a sequence of text prompts whilst be…

cs.CV2022★ 80 cited

Phenaki: Variable Length Video Generation From Open Domain Textual Description

Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans +6

We present Phenaki, a model capable of realistic video synthesis, given a sequence of textual prompts. Generating videos from text is particularly challenging due to the computatio…

cs.RO2022★ 2 cited

INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL

Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan +1

Model-based reinforcement learning (RL) algorithms designed for handling complex visual observations typically learn some sort of latent state representation, either explicitly or…

cs.CV2021★ 29 cited

FitVid: Overfitting in Pixel-Level Video Prediction

Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair +3

An agent that is capable of predicting what happens next can perform a variety of tasks through planning with no additional training. Furthermore, such an agent can internally repr…

cs.LG2020★ 4 cited

Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning

Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner +4

Model-based reinforcement learning (MBRL) methods have shown strong sample efficiency and performance across a variety of tasks, including when faced with high-dimensional visual o…

cs.CV2020★ 4 cited

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

Zhenpei Yang, Yuning Chai, Dragomir Anguelov +5

Autonomous driving system development is critically dependent on the ability to replay complex and diverse traffic scenarios in simulation. In such scenarios, the ability to accura…