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04/17/2021
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling
We investigate the use of Neural Radiance Fields (NeRF) to learn high qu...
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03/21/2021
MoViNets: Mobile Video Networks for Efficient Video Recognition
We present Mobile Video Networks (MoViNets), a family of computation and...
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08/11/2020
GeLaTO: Generative Latent Textured Objects
Accurate modeling of 3D objects exhibiting transparency, reflections and...
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05/01/2020
When Ensembling Smaller Models is More Efficient than Single Large Models
Ensembling is a simple and popular technique for boosting evaluation per...
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03/24/2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Object frequency in the real world often follows a power law, leading to...
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03/18/2020
Federated Visual Classification with Real-World Data Distribution
Federated Learning enables visual models to be trained on-device, bringi...
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03/12/2020
AirSim Drone Racing Lab
Autonomous drone racing is a challenging research problem at the interse...
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09/13/2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
Federated Learning enables visual models to be trained in a privacy-pres...
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03/21/2019
Contingency Model Predictive Control for Automated Vehicles
We present Contingency Model Predictive Control (CMPC), a novel and impl...
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10/03/2018
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
Yes, it can. Data augmentation is perhaps the oldest preprocessing step ...
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03/16/2018
Learning to Segment via Cut-and-Paste
This paper presents a weakly-supervised approach to object instance segm...
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01/14/2018
Frame-Recurrent Video Super-Resolution
Recent advances in video super-resolution have shown that convolutional ...
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12/19/2017
Learning with Imprinted Weights
Human vision is able to immediately recognize novel visual categories af...
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09/20/2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
Deep reinforcement learning yields great results for a large array of pr...
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04/04/2017
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation
Human keypoints are a well-studied representation of people.We explore h...
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03/26/2016
Nonrigid Optical Flow Ground Truth for Real-World Scenes with Time-Varying Shading Effects
In this paper we present a dense ground truth dataset of nonrigidly defo...
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03/07/2016
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
It is hard to densely track a nonrigid object in long term, which is a f...
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03/03/2016
