Yuwen Xiong | DeepAI

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∙ 06/27/2023

Rethinking Closed-loop Training for Autonomous Driving

Recent advances in high-fidelity simulators have enabled closed-loop tra...

0 Chris Zhang, et al. ∙

∙ 01/17/2021

Network Automatic Pruning: Start NAP and Take a Nap

Network pruning can significantly reduce the computation and memory foot...

0 Wenyuan Zeng, et al. ∙

∙ 01/17/2021

Cost-Efficient Online Hyperparameter Optimization

Recent work on hyperparameters optimization (HPO) has shown the possibil...

11 Mengye Ren, et al. ∙

∙ 01/16/2021

Self-Supervised Representation Learning from Flow Equivariance

Self-supervised representation learning is able to learn semantically me...

0 Yuwen Xiong, et al. ∙

∙ 01/07/2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting

In this paper, we address the important problem in self-driving of forec...

19 Katie Luo, et al. ∙

∙ 08/20/2020

Weakly-supervised 3D Shape Completion in the Wild

3D shape completion for real data is important but challenging, since pa...

11 Jiayuan Gu, et al. ∙

∙ 08/04/2020

LoCo: Local Contrastive Representation Learning

Deep neural nets typically perform end-to-end backpropagation to learn t...

20 Yuwen Xiong, et al. ∙

∙ 07/30/2020

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation

Obtaining precise instance segmentation masks is of high importance in m...

10 Namdar Homayounfar, et al. ∙

∙ 12/05/2019

PolyTransform: Deep Polygon Transformer for Instance Segmentation

In this paper, we propose PolyTransform, a novel instance segmentation a...

24 Justin Liang, et al. ∙

∙ 10/17/2019

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Self-driving vehicles plan around both static and dynamic objects, apply...

21 Ajay Jain, et al. ∙

∙ 10/10/2019

Learning to Remember from a Multi-Task Teacher

Recent studies on catastrophic forgetting during sequential learning typ...

0 Yuwen Xiong, et al. ∙

∙ 09/27/2019

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

In this paper, we propose the differentiable mask-matching network (DMM-...

8 Xiaohui Zeng, et al. ∙

∙ 07/30/2019

Deformable Filter Convolution for Point Cloud Reasoning

Point clouds are the native output of many real-world 3D sensors. To bor...

0 Yuwen Xiong, et al. ∙

∙ 04/18/2019

Deep Rigid Instance Scene Flow

In this paper we tackle the problem of scene flow estimation in the cont...

6 Wei-Chiu Ma, et al. ∙

∙ 01/12/2019

UPSNet: A Unified Panoptic Segmentation Network

In this paper, we propose a unified panoptic segmentation network (UPSNe...

22 Yuwen Xiong, et al. ∙

∙ 03/21/2018

Inference in Probabilistic Graphical Models by Graph Neural Networks

A useful computation when acting in a complex environment is to infer th...

0 KiJung Yoon, et al. ∙

∙ 03/16/2018

Reviving and Improving Recurrent Back-Propagation

In this paper, we revisit the recurrent back-propagation (RBP) algorithm...

0 Renjie Liao, et al. ∙

∙ 03/17/2017

Deformable Convolutional Networks

Convolutional neural networks (CNNs) are inherently limited to model geo...

0 Jifeng Dai, et al. ∙

∙ 11/23/2016

Deep Feature Flow for Video Recognition

Deep convolutional neutral networks have achieved great success on image...

0 Xizhou Zhu, et al. ∙

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