b'Naiyan Wang'

research

∙ 09/04/2023

TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios

Time-to-Contact (TTC) estimation is a critical task for assessing collis...

0 Yuheng Shi, et al. ∙

research

∙ 08/07/2023

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels

LiDAR-based fully sparse architecture has garnered increasing attention....

0 Lue Fan, et al. ∙

research

∙ 06/19/2023

Frame Fusion with Vehicle Motion Prediction for 3D Object Detection

In LiDAR-based 3D detection, history point clouds contain rich temporal ...

0 Xirui Li, et al. ∙

research

∙ 06/08/2023

Tracking Objects with 3D Representation from Videos

Data association is a knotty problem for 2D Multiple Object Tracking due...

0 Jiawei He, et al. ∙

research

∙ 04/24/2023

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

This paper aims for high-performance offline LiDAR-based 3D object detec...

0 Lue Fan, et al. ∙

research

∙ 03/27/2023

3D Video Object Detection with Learnable Object-Centric Global Optimization

We explore long-term temporal visual correspondence-based optimization f...

0 Jiawei He, et al. ∙

research

∙ 03/27/2023

Learnable Graph Matching: A Practical Paradigm for Data Association

Data association is at the core of many computer vision tasks, e.g., mul...

0 Jiawei He, et al. ∙

research

∙ 01/09/2023

Deep Planar Parallax for Monocular Depth Estimation

Depth estimation is a fundamental problem in the perception system of au...

0 Haoqian Liang, et al. ∙

research

∙ 01/06/2023

Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection

Monocular 3D lane detection is a challenging task due to its lack of dep...

0 Shaofei Huang, et al. ∙

research

∙ 01/06/2023

Object as Query: Equipping Any 2D Object Detector with 3D Detection Ability

3D object detection from multi-view images has drawn much attention over...

0 Zitian Wang, et al. ∙

research

∙ 01/05/2023

Super Sparse 3D Object Detection

As the perception range of LiDAR expands, LiDAR-based 3D object detectio...

0 Lue Fan, et al. ∙

research

∙ 10/26/2022

PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework

In this paper, we present a general and effective framework for Neural A...

0 Liuchun Yuan, et al. ∙

research

∙ 08/20/2022

YOLOV: Making Still Image Object Detectors Great at Video Object Detection

Video object detection (VID) is challenging because of the high variatio...

11 Yuheng Shi, et al. ∙

research

∙ 07/20/2022

Fully Sparse 3D Object Detection

As the perception range of LiDAR increases, LiDAR-based 3D object detect...

0 Lue Fan, et al. ∙

research

∙ 12/13/2021

Embracing Single Stride 3D Object Detector with Sparse Transformer

In LiDAR-based 3D object detection for autonomous driving, the ratio of ...

3 Lue Fan, et al. ∙

research

∙ 11/26/2021

Immortal Tracker: Tracklet Never Dies

Previous online 3D Multi-Object Tracking(3DMOT) methods terminate a trac...

0 Qitai Wang, et al. ∙

research

∙ 11/18/2021

SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

3D multi-object tracking (MOT) has witnessed numerous novel benchmarks a...

0 Ziqi Pang, et al. ∙

research

∙ 05/25/2021

Unsupervised Scale-consistent Depth Learning from Video

We propose a monocular depth estimator SC-Depth, which requires only unl...

17 Jia-Wang Bian, et al. ∙

research

∙ 04/09/2021

Direct Differentiable Augmentation Search

Data augmentation has been an indispensable tool to improve the performa...

0 Aoming Liu, et al. ∙

research

∙ 03/30/2021

Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking

Data association across frames is at the core of Multiple Object Trackin...

0 Jiawei He, et al. ∙

research

∙ 03/29/2021

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

LiDAR-based 3D detection in point cloud is essential in the perception s...

0 Zhichao Li, et al. ∙

research

∙ 03/18/2021

RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection

In this paper, we propose an anchor-free single-stage LiDAR-based 3D obj...

0 Lue Fan, et al. ∙

research

∙ 03/16/2021

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

While general object detection with deep learning has achieved great suc...

0 Chenhongyi Yang, et al. ∙

research

∙ 03/10/2021

Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences

Estimating the states of surrounding traffic participants stays at the c...

0 Ziqi Pang, et al. ∙

research

∙ 08/04/2020

1st Place Solutions of Waymo Open Dataset Challenge 2020 – 2D Object Detection Track

In this technical report, we present our solutions of Waymo Open Dataset...

0 Zehao Huang, et al. ∙

research

∙ 06/04/2020

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue

Single-view depth estimation using CNNs trained from unlabelled videos h...

0 Jia-Wang Bian, et al. ∙

research

∙ 05/06/2020

UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving

Trajectory prediction has always been a challenging problem for autonomo...

0 Hao He, et al. ∙

research

∙ 04/13/2020

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

Although two-stage object detectors have continuously advanced the state...

0 Hongkai Zhang, et al. ∙

research

∙ 04/08/2020

DMLO: Deep Matching LiDAR Odometry

LiDAR odometry is a fundamental task for various areas such as robotics,...

0 Naiyan Wang, et al. ∙

research

∙ 09/03/2019

Cross View Fusion for 3D Human Pose Estimation

We present an approach to recover absolute 3D human poses from multi-vie...

0 Haibo Qiu, et al. ∙

research

∙ 08/28/2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Recent work has shown that CNN-based depth and ego-motion estimators can...

1 Jia-Wang Bian, et al. ∙

research

∙ 08/05/2019

Revisiting Feature Alignment for One-stage Object Detection

Recently, one-stage object detectors gain much attention due to their si...

0 Yuntao Chen, et al. ∙

research

∙ 07/15/2019

Sequence Level Semantics Aggregation for Video Object Detection

Video objection detection (VID) has been a rising research direction in ...

2 Haiping Wu, et al. ∙

research

∙ 03/14/2019

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

Object detection and instance recognition play a central role in many AI...

0 Yuntao Chen, et al. ∙

research

∙ 01/07/2019

Scale-Aware Trident Networks for Object Detection

Scale variation is one of the key challenges in object detection. In thi...

0 Yanghao Li, et al. ∙

research

∙ 11/28/2018

Spectral Feature Transformation for Person Re-identification

With the surge of deep learning techniques, the field of person re-ident...

0 Chuanchen Luo, et al. ∙

research

∙ 11/05/2018

You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization

Recently Neural Architecture Search (NAS) has aroused great interest in ...

0 Xinbang Zhang, et al. ∙

research

∙ 12/19/2017

Multi-shot Pedestrian Re-identification via Sequential Decision Making

Multi-shot pedestrian re-identification problem is at the core of survei...

0 Jianfu Zhang, et al. ∙

research

∙ 07/05/2017

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

We have witnessed rapid evolution of deep neural network architecture de...

0 Yuntao Chen, et al. ∙

research

∙ 07/05/2017

Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Despite deep neural networks have demonstrated extraordinary power in va...

0 Zehao Huang, et al. ∙

research

∙ 07/05/2017

Data-Driven Sparse Structure Selection for Deep Neural Networks

Deep convolutional neural networks have liberated its extraordinary powe...

0 Zehao Huang, et al. ∙

research

∙ 01/04/2017

Demystifying Neural Style Transfer

Neural Style Transfer has recently demonstrated very exciting results wh...

0 Yanghao Li, et al. ∙

research

∙ 11/20/2016

On The Stability of Video Detection and Tracking

In this paper, we study an important yet less explored aspect in video d...

0 Hong Zhang, et al. ∙

research

∙ 11/17/2016

Factorized Bilinear Models for Image Recognition

Although Deep Convolutional Neural Networks (CNNs) have liberated their ...

0 Yanghao Li, et al. ∙

research

∙ 03/15/2016

Revisiting Batch Normalization For Practical Domain Adaptation

Deep neural networks (DNN) have shown unprecedented success in various c...

0 Yanghao Li, et al. ∙

research

∙ 12/03/2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

MXNet is a multi-language machine learning (ML) library to ease the deve...

0 Tianqi Chen, et al. ∙

research

∙ 05/05/2015

Empirical Evaluation of Rectified Activations in Convolutional Network

In this paper we investigate the performance of different types of recti...

0 Bing Xu, et al. ∙

research

∙ 04/23/2015

Understanding and Diagnosing Visual Tracking Systems

Several benchmark datasets for visual tracking research have been propos...

0 Naiyan Wang, et al. ∙

research

∙ 01/19/2015

Transferring Rich Feature Hierarchies for Robust Visual Tracking

Convolutional neural network (CNN) models have demonstrated great succes...

0 Naiyan Wang, et al. ∙

research

∙ 09/10/2014

Collaborative Deep Learning for Recommender Systems

Collaborative filtering (CF) is a successful approach commonly used by m...

0 Hao Wang, et al. ∙

Naiyan Wang

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