Naiyan Wang

Orcid: 0000-0002-0526-3331

According to our database1, Naiyan Wang authored at least 78 papers between 2011 and 2024.

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Bibliography

2024
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception.
CoRR, 2024

Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving.
CoRR, 2024

2023
Super Sparse 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios.
CoRR, 2023

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels.
CoRR, 2023

Frame Fusion with Vehicle Motion Prediction for 3D Object Detection.
CoRR, 2023

Tracking Objects with 3D Representation from Videos.
CoRR, 2023

Fully Sparse Fusion for 3D Object Detection.
CoRR, 2023

Learnable Graph Matching: A Practical Paradigm for Data Association.
CoRR, 2023

FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models.
CoRR, 2023

Deep Planar Parallax for Monocular Depth Estimation.
CoRR, 2023

Super Sparse 3D Object Detection.
CoRR, 2023

Object as Query: Equipping Any 2D Object Detector with 3D Detection Ability.
CoRR, 2023

Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Object as Query: Lifting any 2D Object Detector to 3D Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D Video Object Detection with Learnable Object-Centric Global Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

YOLOV: Making Still Image Object Detectors Great at Video Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild.
IEEE Robotics Autom. Lett., 2022

Auto-Rectify Network for Unsupervised Indoor Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation.
Int. J. Comput. Vis., 2022

PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework.
CoRR, 2022

Fully Sparse 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

GIFS: Neural Implicit Function for General Shape Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Embracing Single Stride 3D Object Detector with Sparse Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Unsupervised Scale-Consistent Depth Learning from Video.
Int. J. Comput. Vis., 2021

Immortal Tracker: Tracklet Never Dies.
CoRR, 2021

Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Direct Differentiable Augmentation Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LiDAR R-CNN: An Efficient and Universal 3D Object Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
1st Place Solutions of Waymo Open Dataset Challenge 2020 - 2D Object Detection Track.
CoRR, 2020

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue.
CoRR, 2020

DMLO: Deep Matching LiDAR Odometry.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition.
J. Mach. Learn. Res., 2019

Revisiting Feature Alignment for One-stage Object Detection.
CoRR, 2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sequence Level Semantics Aggregation for Video Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cross View Fusion for 3D Human Pose Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Spectral Feature Transformation for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Scale-Aware Trident Networks for Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Adaptive Batch Normalization for practical domain adaptation.
Pattern Recognit., 2018

You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization.
CoRR, 2018

Data-Driven Sparse Structure Selection for Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multi-Shot Pedestrian Re-Identification via Sequential Decision Making.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.
CoRR, 2017

Demystifying Neural Style Transfer.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-paced cross-modality transfer learning for efficient road segmentation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Revisiting Batch Normalization For Practical Domain Adaptation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Factorized Bilinear Models for Image Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
On The Stability of Video Detection and Tracking.
CoRR, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Empirical Evaluation of Rectified Activations in Convolutional Network.
CoRR, 2015

Transferring Rich Feature Hierarchies for Robust Visual Tracking.
CoRR, 2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.
CoRR, 2015

Collaborative Deep Learning for Recommender Systems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Understanding and Diagnosing Visual Tracking Systems.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

DevNet: A Deep Event Network for multimedia event detection and evidence recounting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Bayesian adaptive matrix factorization with automatic model selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Trinary-Projection Trees for Approximate Nearest Neighbor Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Learning a Deep Compact Image Representation for Visual Tracking.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Contextual rule-based feature engineering for author-paper identification.
Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering.
Proceedings of the IJCAI 2013, 2013

Bayesian Robust Matrix Factorization for Image and Video Processing.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Online Robust Non-negative Dictionary Learning for Visual Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
A Probabilistic Approach to Robust Matrix Factorization.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

A Feasible Nonconvex Relaxation Approach to Feature Selection.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011


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