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02/07/2023
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
This work proposes an end-to-end multi-camera 3D multi-object tracking (...
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11/03/2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
The goal of autonomous vehicles is to navigate public roads safely and c...
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10/05/2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
The imitation learning of self-driving vehicle policies through behavior...
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05/26/2020
End-to-End Object Detection with Transformers
We present a new method that views object detection as a direct set pred...
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01/27/2020
Polygames: Improved Zero Learning
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
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04/23/2019
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
In this paper, we address the problem of visually guided rearrangement p...
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12/28/2018
Exploring Weight Symmetry in Deep Neural Networks
We propose to impose symmetry in neural network parameters to improve pa...
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12/28/2018
Exploring Weight Symmetry in Deep Neural Network
We propose to impose symmetry in neural network parameters to improve pa...
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09/27/2018
Compressing the Input for CNNs with the First-Order Scattering Transform
We study the first-order scattering transform as a candidate for reducin...
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09/17/2018
Scattering Networks for Hybrid Representation Learning
Scattering networks are a class of designed Convolutional Neural Network...
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06/01/2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Deep neural networks with skip-connections, such as ResNet, show excelle...
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03/27/2017
Scaling the Scattering Transform: Deep Hybrid Networks
We use the scattering network as a generic and fixed ini-tialization of ...
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12/12/2016
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Attention plays a critical role in human visual experience. Furthermore,...
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05/23/2016
Wide Residual Networks
Deep residual networks were shown to be able to scale up to thousands of...
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04/07/2016
A MultiPath Network for Object Detection
The recent COCO object detection dataset presents several new challenges...
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04/14/2015
