Search Results for author: Zehao Huang

Found 17 papers, 13 papers with code

Data-Driven Sparse Structure Selection for Deep Neural Networks

2 code implementations ECCV 2018 Zehao Huang, Naiyan Wang

Deep convolutional neural networks have liberated its extraordinary power on various tasks.

Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

1 code implementation ICLR 2019 Zehao Huang, Naiyan Wang

In this paper, we propose a novel knowledge transfer method by treating it as a distribution matching problem.

object-detection Object Detection +1

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

1 code implementation5 Nov 2018 Xinbang Zhang, Zehao Huang, Naiyan Wang

Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.

Neural Architecture Search

Single Shot Neural Architecture Search Via Direct Sparse Optimization

no code implementations ICLR 2019 Xinbang Zhang, Zehao Huang, Naiyan Wang

Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.

Neural Architecture Search

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

1 code implementation4 Aug 2020 Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang

In this technical report, we present our solutions of Waymo Open Dataset (WOD) Challenge 2020 - 2D Object Track.

Object object-detection +1

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

1 code implementation CVPR 2022 Chenhongyi Yang, Zehao Huang, Naiyan Wang

On the popular COCO dataset, the proposed method improves the detection mAP by 1. 0 and mAP-small by 2. 0, and the high-resolution inference speed is improved to 3. 0x on average.

object-detection Small Object Detection +1

Direct Differentiable Augmentation Search

1 code implementation ICCV 2021 Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang

Data augmentation has been an indispensable tool to improve the performance of deep neural networks, however the augmentation can hardly transfer among different tasks and datasets.

AutoML Data Augmentation +4

PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework

no code implementations26 Oct 2022 Liuchun Yuan, Zehao Huang, Naiyan Wang

In this paper, we present a general and effective framework for Neural Architecture Search (NAS), named PredNAS.

Neural Architecture Search

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

1 code implementation CVPR 2023 Shaofei Huang, Zhenwei Shen, Zehao Huang, Zi-han Ding, Jiao Dai, Jizhong Han, Naiyan Wang, Si Liu

An attempt has been made to get rid of BEV and predict 3D lanes from FV representations directly, while it still underperforms other BEV-based methods given its lack of structured representation for 3D lanes.

3D Lane Detection

Object as Query: Lifting any 2D Object Detector to 3D Detection

1 code implementation ICCV 2023 Zitian Wang, Zehao Huang, Jiahui Fu, Naiyan Wang, Si Liu

Existing methods mainly establish 3D representations from multi-view images and adopt a dense detection head for object detection, or employ object queries distributed in 3D space to localize objects.

3D Object Detection Object +1

Learnable Graph Matching: A Practical Paradigm for Data Association

1 code implementation27 Mar 2023 JiaWei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang

Data association is at the core of many computer vision tasks, e. g., multiple object tracking, image matching, and point cloud registration.

Graph Matching Multiple Object Tracking +1

Fully Sparse Fusion for 3D Object Detection

1 code implementation24 Apr 2023 Yingyan Li, Lue Fan, Yang Liu, Zehao Huang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang, Tieniu Tan

In this paper, we study how to effectively leverage image modality in the emerging fully sparse architecture.

3D Instance Segmentation 3D Object Detection +3

Tracking Objects with 3D Representation from Videos

no code implementations8 Jun 2023 JiaWei He, Lue Fan, Yuqi Wang, Yuntao Chen, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang

In this paper, we rethink the data association in 2D MOT and utilize the 3D object representation to separate each object in the feature space.

Multiple Object Tracking Object +1

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

1 code implementation4 Sep 2023 Yuheng Shi, Zehao Huang, Yan Yan, Naiyan Wang, Xiaojie Guo

Time-to-Contact (TTC) estimation is a critical task for assessing collision risk and is widely used in various driver assistance and autonomous driving systems.

Autonomous Driving Neural Rendering

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