b'Xiaodong Yang'

research

∙ 09/18/2023

GEDepth: Ground Embedding for Monocular Depth Estimation

Monocular depth estimation is an ill-posed problem as the same 2D image ...

0 Xiaodong Yang, et al. ∙

research

∙ 06/12/2023

Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving

Evaluating the performance of perception modules in autonomous driving i...

0 Wei-Xin Li, et al. ∙

research

∙ 05/08/2023

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

In order to deal with the sparse and unstructured raw point clouds, LiDA...

0 Jinyu Li, et al. ∙

research

∙ 03/21/2023

ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals

Motion forecasting is a key module in an autonomous driving system. Due ...

0 Xishun Wang, et al. ∙

research

∙ 11/14/2022

SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes

The SportsMOT competition aims to solve multiple object tracking of athl...

0 Jie Wang, et al. ∙

research

∙ 07/13/2022

QML for Argoverse 2 Motion Forecasting Challenge

To safely navigate in various complex traffic scenarios, autonomous driv...

0 Tong Su, et al. ∙

research

∙ 06/27/2022

Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization

By ensuring differential privacy in the learning algorithms, one can rig...

0 Xiaodong Yang, et al. ∙

research

∙ 03/28/2022

TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving

Traffic light recognition, as a critical component of the perception mod...

0 Danfeng Wang, et al. ∙

research

∙ 02/28/2022

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond

This article aims to use graphic engines to simulate a large number of t...

0 Yue Yao, et al. ∙

research

∙ 12/16/2021

On Gibbs Sampling for Structured Bayesian Models Discussion of paper by Zanella and Roberts

This article is a discussion of Zanella and Roberts' paper: Multilevel l...

0 Xiaodong Yang, et al. ∙

research

∙ 11/30/2021

Convergence Rate of Multiple-try Metropolis Independent sampler

The Multiple-try Metropolis (MTM) method is an interesting extension of ...

0 Xiaodong Yang, et al. ∙

research

∙ 11/16/2021

Learning Intrinsic Images for Clothing

Reconstruction of human clothing is an important task and often relies o...

3 Kuo Jiang, et al. ∙

research

∙ 08/23/2021

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving

3D multi-object tracking in LiDAR point clouds is a key ingredient for s...

0 Chenxu Luo, et al. ∙

research

∙ 08/09/2021

Neural Network Repair with Reachability Analysis

Safety is a critical concern for the next generation of autonomy that is...

0 Xiaodong Yang, et al. ∙

research

∙ 06/22/2021

Reachability Analysis of Convolutional Neural Networks

Deep convolutional neural networks have been widely employed as an effec...

0 Xiaodong Yang, et al. ∙

research

∙ 04/18/2021

Self-Supervised Pillar Motion Learning for Autonomous Driving

Autonomous driving can benefit from motion behavior comprehension when i...

0 Chenxu Luo, et al. ∙

research

∙ 10/21/2020

UFO^2: A Unified Framework towards Omni-supervised Object Detection

Existing work on object detection often relies on a single form of annot...

0 Zhongzheng Ren, et al. ∙

research

∙ 07/20/2020

Hierarchical Contrastive Motion Learning for Video Action Recognition

One central question for video action recognition is how to model motion...

4 Xitong Yang, et al. ∙

research

∙ 07/20/2020

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

Although a significant progress has been witnessed in supervised person ...

11 Yang Zou, et al. ∙

research

∙ 06/17/2020

Contrastive Learning for Weakly Supervised Phrase Grounding

Phrase grounding, the problem of associating image regions to caption wo...

4 Tanmay Gupta, et al. ∙

research

∙ 05/02/2020

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

In comparison with person re-identification (ReID), which has been widel...

1 Zheng Tang, et al. ∙

research

∙ 04/30/2020

The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...

0 Milind Naphade, et al. ∙

research

∙ 04/26/2020

Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach

The vulnerability of artificial intelligence (AI) and machine learning (...

0 Weiming Xiang, et al. ∙

research

∙ 04/12/2020

NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems

This paper presents the Neural Network Verification (NNV) software tool,...

0 Hoang-Dung Tran, et al. ∙

research

∙ 04/09/2020

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Weakly supervised learning has emerged as a compelling tool for object d...

2 Zhongzheng Ren, et al. ∙

research

∙ 03/02/2020

Reachability Analysis for Feed-Forward Neural Networks using Face Lattices

Deep neural networks have been widely applied as an effective approach t...

8 Xiaodong Yang, et al. ∙

research

∙ 01/29/2020

FOCUS: Dealing with Label Quality Disparity in Federated Learning

Ubiquitous systems with End-Edge-Cloud architecture are increasingly bei...

0 Yiqiang Chen, et al. ∙

research

∙ 12/18/2019

Simulating Content Consistent Vehicle Datasets with Attribute Descent

We simulate data using a graphic engine to augment real-world datasets, ...

34 Yue Yao, et al. ∙

research

∙ 11/05/2019

Dancing to Music

Dancing to music is an instinctive move by humans. Learning to model the...

0 Hsin-Ying Lee, et al. ∙

research

∙ 08/18/2019

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell

Average precision (AP) is a widely used metric to evaluate detection acc...

17 Huizi Mao, et al. ∙

research

∙ 05/29/2019

Rethinking Full Connectivity in Recurrent Neural Networks

Recurrent neural networks (RNNs) are omnipresent in sequence modeling ta...

0 Matthijs Van keirsbilck, et al. ∙

research

∙ 04/19/2019

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

In this paper, we propose Spatio-TEmporal Progressive (STEP) action dete...

8 Xitong Yang, et al. ∙

research

∙ 04/15/2019

Joint Discriminative and Generative Learning for Person Re-identification

Person re-identification (re-id) remains challenging due to significant ...

20 Zhedong Zheng, et al. ∙

research

∙ 03/21/2019

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

Urban traffic optimization using traffic cameras as sensors is driving t...

8 Zheng Tang, et al. ∙

research

∙ 02/12/2019

QoS-Aware Buffer-Aided Relaying Implant WBAN for Healthcare IoT: Opportunities and Challenges

Internet of Things (IoT) have motivated a paradigm shift in the developm...

0 Guofa Cai, et al. ∙

research

∙ 11/29/2018

Discovering Spatio-Temporal Action Tubes

In this paper, we address the challenging problem of spatial and tempora...

12 Yuancheng Ye, et al. ∙

research

∙ 10/03/2018

Verification for Machine Learning, Autonomy, and Neural Networks Survey

This survey presents an overview of verification techniques for autonomo...

0 Weiming Xiang, et al. ∙

research

∙ 09/14/2018

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

We investigate two crucial and closely related aspects of CNNs for optic...

6 Deqing Sun, et al. ∙

research

∙ 11/30/2017

Budget-Aware Activity Detection with A Recurrent Policy Network

In this paper, we address the challenging problem of effi- cient tempora...

0 Behrooz Mahasseni, et al. ∙

research

∙ 09/07/2017

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

We present a compact but effective CNN model for optical flow, called PW...

0 Deqing Sun, et al. ∙

research

∙ 07/17/2017

MoCoGAN: Decomposing Motion and Content for Video Generation

Visual signals in a video can be divided into content and motion. While ...

0 Sergey Tulyakov, et al. ∙

Xiaodong Yang

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