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08/30/2023
Domain Generalization without Excess Empirical Risk
Given data from diverse sets of distinct distributions, domain generaliz...
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05/16/2023
Online Continual Learning Without the Storage Constraint
Online continual learning (OCL) research has primarily focused on mitiga...
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03/21/2023
Monocular Visual-Inertial Depth Estimation
We present a visual-inertial depth estimation pipeline that integrates m...
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10/12/2022
Improving information retention in large scale online continual learning
Given a stream of data sampled from non-stationary distributions, online...
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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...
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05/03/2022
Differentiable Simulation of Soft Multi-body Systems
We present a method for differentiable simulation of soft articulated bo...
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04/18/2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Semantic segmentation models struggle to generalize in the presence of d...
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04/08/2022
Dancing under the stars: video denoising in starlight
Imaging in low light is extremely challenging due to low photon counts. ...
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03/24/2022
Global Tracking Transformers
We present a novel transformer-based architecture for global multi-objec...
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01/20/2022
Learning robust perceptive locomotion for quadrupedal robots in the wild
Legged robots that can operate autonomously in remote and hazardous envi...
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01/10/2022
Language-driven Semantic Segmentation
We present LSeg, a novel model for language-driven semantic image segmen...
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12/27/2021
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
We present MSeg, a composite dataset that unifies semantic segmentation ...
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10/14/2021
Non-deep Networks
Depth is the hallmark of deep neural networks. But more depth means more...
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10/11/2021
Learning High-Speed Flight in the Wild
Quadrotors are agile. Unlike most other machines, they can traverse extr...
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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...
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09/30/2021
Physical Gradients for Deep Learning
Solving inverse problems, such as parameter estimation and optimal contr...
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09/16/2021
Efficient Differentiable Simulation of Articulated Bodies
We present a method for efficient differentiable simulation of articulat...
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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...
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07/17/2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
We present Megaverse, a new 3D simulation platform for reinforcement lea...
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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...
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06/28/2021
Stabilizing Equilibrium Models by Jacobian Regularization
Deep equilibrium networks (DEQs) are a new class of models that eschews ...
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05/17/2021
A Measure of Research Taste
Researchers are often evaluated by citation-based metrics. Such metrics ...
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05/10/2021
Enhancing Photorealism Enhancement
We present an approach to enhancing the realism of synthetic images. The...
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05/03/2021
Learning to drive from a world on rails
We learn an interactive vision-based driving policy from pre-recorded dr...
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03/24/2021
Vision Transformers for Dense Prediction
We introduce dense vision transformers, an architecture that leverages v...
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03/12/2021
Probabilistic two-stage detection
We develop a probabilistic interpretation of two-stage object detection....
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03/12/2021
Large Batch Simulation for Deep Reinforcement Learning
We accelerate deep reinforcement learning-based training in visually com...
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03/04/2021
Self-supervised Geometric Perception
We present self-supervised geometric perception (SGP), the first general...
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02/25/2021
Simple multi-dataset detection
How do we build a general and broad object detection system? We use all ...
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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...
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11/14/2020
Stable View Synthesis
We present Stable View Synthesis (SVS). Given a set of source images dep...
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11/03/2020
Rearrangement: A Challenge for Embodied AI
We describe a framework for research and evaluation in Embodied AI. Our ...
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10/21/2020
Learning Quadrupedal Locomotion over Challenging Terrain
Some of the most challenging environments on our planet are accessible t...
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10/15/2020
NeRF++: Analyzing and Improving Neural Radiance Fields
Neural Radiance Fields (NeRF) achieve impressive view synthesis results ...
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08/24/2020
OpenBot: Turning Smartphones into Robots
Current robots are either expensive or make significant compromises on s...
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08/12/2020
Free View Synthesis
We present a method for novel view synthesis from input images that are ...
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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...
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07/16/2020
Dynamic Low-light Imaging with Quanta Image Sensors
Imaging in low light is difficult because the number of photons arriving...
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07/06/2020
Scaling Imitation Learning in Minecraft
Imitation learning is a powerful family of techniques for learning senso...
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07/04/2020
Scalable Differentiable Physics for Learning and Control
Differentiable physics is a powerful approach to learning and control pr...
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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...
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06/15/2020
Multiscale Deep Equilibrium Models
We propose a new class of implicit networks, the multiscale deep equilib...
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06/10/2020
Deep Drone Acrobatics
Performing acrobatic maneuvers with quadrotors is extremely challenging....
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06/04/2020
Auto-decoding Graphs
We present an approach to synthesizing new graph structures from empiric...
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05/17/2020
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Many problems in science and engineering can be formulated in terms of g...
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04/28/2020
Exploring Self-attention for Image Recognition
Recent work has shown that self-attention can serve as a basic building ...
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04/25/2020
Learning to Guide Random Search
We are interested in derivative-free optimization of high-dimensional fu...
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04/24/2020
Deep Global Registration
We present Deep Global Registration, a differentiable framework for pair...
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04/02/2020
Tracking Objects as Points
Tracking has traditionally been the art of following interest points thr...
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01/21/2020
