Vladlen Koltun

research

∙ 08/30/2023

Domain Generalization without Excess Empirical Risk

Given data from diverse sets of distinct distributions, domain generaliz...

0 Ozan Sener, et al. ∙

research

∙ 05/16/2023

Online Continual Learning Without the Storage Constraint

Online continual learning (OCL) research has primarily focused on mitiga...

0 Ameya Prabhu, et al. ∙

research

∙ 03/21/2023

Monocular Visual-Inertial Depth Estimation

We present a visual-inertial depth estimation pipeline that integrates m...

0 Diana Wofk, et al. ∙

research

∙ 10/12/2022

Improving information retention in large scale online continual learning

Given a stream of data sampled from non-stationary distributions, online...

0 Zhipeng Cai, et al. ∙

research

∙ 10/12/2022

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics

We present a novel method for guaranteeing linear momentum in learned ph...

0 Lukas Prantl, et al. ∙

research

∙ 05/03/2022

Differentiable Simulation of Soft Multi-body Systems

We present a method for differentiable simulation of soft articulated bo...

0 Yi-Ling Qiao, et al. ∙

research

∙ 04/18/2022

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation

Semantic segmentation models struggle to generalize in the presence of d...

0 Feihu Zhang, et al. ∙

research

∙ 04/08/2022

Dancing under the stars: video denoising in starlight

Imaging in low light is extremely challenging due to low photon counts. ...

8 Kristina Monakhova, et al. ∙

research

∙ 03/24/2022

Global Tracking Transformers

We present a novel transformer-based architecture for global multi-objec...

0 Xingyi Zhou, et al. ∙

research

∙ 01/20/2022

Learning robust perceptive locomotion for quadrupedal robots in the wild

Legged robots that can operate autonomously in remote and hazardous envi...

0 Takahiro Miki, et al. ∙

research

∙ 01/10/2022

Language-driven Semantic Segmentation

We present LSeg, a novel model for language-driven semantic image segmen...

7 Boyi Li, et al. ∙

research

∙ 12/27/2021

MSeg: A Composite Dataset for Multi-domain Semantic Segmentation

We present MSeg, a composite dataset that unifies semantic segmentation ...

6 John Lambert, et al. ∙

research

∙ 10/14/2021

Non-deep Networks

Depth is the hallmark of deep neural networks. But more depth means more...

0 Ankit Goyal, et al. ∙

research

∙ 10/11/2021

Learning High-Speed Flight in the Wild

Quadrotors are agile. Unlike most other machines, they can traverse extr...

0 Antonio Loquercio, et al. ∙

research

∙ 10/01/2021

ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception

We present ASH, a modern and high-performance framework for parallel spa...

9 Wei Dong, et al. ∙

research

∙ 09/30/2021

Physical Gradients for Deep Learning

Solving inverse problems, such as parameter estimation and optimal contr...

2 Philipp Holl, et al. ∙

research

∙ 09/16/2021

Efficient Differentiable Simulation of Articulated Bodies

We present a method for efficient differentiable simulation of articulat...

4 Yi-Ling Qiao, et al. ∙

research

∙ 08/20/2021

Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data

Continual learning is the problem of learning and retaining knowledge th...

0 Zhipeng Cai, et al. ∙

research

∙ 07/17/2021

Megaverse: Simulating Embodied Agents at One Million Experiences per Second

We present Megaverse, a new 3D simulation platform for reinforcement lea...

13 Aleksei Petrenko, et al. ∙

research

∙ 06/28/2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

We introduce Habitat 2.0 (H2.0), a simulation platform for training virt...

25 Andrew Szot, et al. ∙

research

∙ 06/28/2021

Stabilizing Equilibrium Models by Jacobian Regularization

Deep equilibrium networks (DEQs) are a new class of models that eschews ...

0 Shaojie Bai, et al. ∙

research

∙ 05/17/2021

A Measure of Research Taste

Researchers are often evaluated by citation-based metrics. Such metrics ...

0 Vladlen Koltun, et al. ∙

research

∙ 05/10/2021

Enhancing Photorealism Enhancement

We present an approach to enhancing the realism of synthetic images. The...

0 Stephan R. Richter, et al. ∙

research

∙ 05/03/2021

Learning to drive from a world on rails

We learn an interactive vision-based driving policy from pre-recorded dr...

0 Dian Chen, et al. ∙

research

∙ 03/24/2021

Vision Transformers for Dense Prediction

We introduce dense vision transformers, an architecture that leverages v...

15 René Ranftl, et al. ∙

research

∙ 03/12/2021

Probabilistic two-stage detection

We develop a probabilistic interpretation of two-stage object detection....

0 Xingyi Zhou, et al. ∙

research

∙ 03/12/2021

Large Batch Simulation for Deep Reinforcement Learning

We accelerate deep reinforcement learning-based training in visually com...

61 Brennan Shacklett, et al. ∙

research

∙ 03/04/2021

Self-supervised Geometric Perception

We present self-supervised geometric perception (SGP), the first general...

16 Heng Yang, et al. ∙

research

∙ 02/25/2021

Simple multi-dataset detection

How do we build a general and broad object detection system? We use all ...

14 Xingyi Zhou, et al. ∙

research

∙ 02/05/2021

The h-index is no longer an effective correlate of scientific reputation

The impact of individual scientists is commonly quantified using citatio...

0 Vladlen Koltun, et al. ∙

research

∙ 11/14/2020

Stable View Synthesis

We present Stable View Synthesis (SVS). Given a set of source images dep...

4 Gernot Riegler, et al. ∙

research

∙ 11/03/2020

Rearrangement: A Challenge for Embodied AI

We describe a framework for research and evaluation in Embodied AI. Our ...

2 Dhruv Batra, et al. ∙

research

∙ 10/21/2020

Learning Quadrupedal Locomotion over Challenging Terrain

Some of the most challenging environments on our planet are accessible t...

0 Joonho Lee, et al. ∙

research

∙ 10/15/2020

NeRF++: Analyzing and Improving Neural Radiance Fields

Neural Radiance Fields (NeRF) achieve impressive view synthesis results ...

0 Kai Zhang, et al. ∙

research

∙ 08/24/2020

OpenBot: Turning Smartphones into Robots

Current robots are either expensive or make significant compromises on s...

0 Matthias Müller, et al. ∙

research

∙ 08/12/2020

Free View Synthesis

We present a method for novel view synthesis from input images that are ...

0 Gernot Riegler, et al. ∙

research

∙ 07/18/2020

Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Continual learning systems will interact with humans, with each other, a...

14 Hexiang Hu, et al. ∙

research

∙ 07/16/2020

Dynamic Low-light Imaging with Quanta Image Sensors

Imaging in low light is difficult because the number of photons arriving...

0 Yiheng Chi, et al. ∙

research

∙ 07/06/2020

Scaling Imitation Learning in Minecraft

Imitation learning is a powerful family of techniques for learning senso...

3 Artemij Amiranashvili, et al. ∙

research

∙ 07/04/2020

Scalable Differentiable Physics for Learning and Control

Differentiable physics is a powerful approach to learning and control pr...

0 Yi-Ling Qiao, et al. ∙

research

∙ 06/21/2020

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Increasing the scale of reinforcement learning experiments has allowed r...

13 Aleksei Petrenko, et al. ∙

research

∙ 06/15/2020

Multiscale Deep Equilibrium Models

We propose a new class of implicit networks, the multiscale deep equilib...

14 Shaojie Bai, et al. ∙

research

∙ 06/10/2020

Deep Drone Acrobatics

Performing acrobatic maneuvers with quadrotors is extremely challenging....

0 Elia Kaufmann, et al. ∙

research

∙ 06/04/2020

Auto-decoding Graphs

We present an approach to synthesizing new graph structures from empiric...

0 Sohil Atul Shah, et al. ∙

research

∙ 05/17/2020

High-dimensional Convolutional Networks for Geometric Pattern Recognition

Many problems in science and engineering can be formulated in terms of g...

0 Christopher Choy, et al. ∙

research

∙ 04/28/2020

Exploring Self-attention for Image Recognition

Recent work has shown that self-attention can serve as a basic building ...

0 Hengshuang Zhao, et al. ∙

research

∙ 04/25/2020

Learning to Guide Random Search

We are interested in derivative-free optimization of high-dimensional fu...

74 Ozan Sener, et al. ∙

research

∙ 04/24/2020

Deep Global Registration

We present Deep Global Registration, a differentiable framework for pair...

8 Christopher Choy, et al. ∙

research

∙ 04/02/2020

Tracking Objects as Points

Tracking has traditionally been the art of following interest points thr...

0 Xingyi Zhou, et al. ∙

research

∙ 01/21/2020

Learning to Control PDEs with Differentiable Physics

Predicting outcomes and planning interactions with the physical world ar...

16 Philipp Holl, et al. ∙

Vladlen Koltun

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