Yukang Chen | DeepAI

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Lei Li
255 publications
Jian Sun
183 publications
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Xiangyu Zhang
153 publications
Qian Zhang
144 publications
Jiaya Jia
104 publications
Xinggang Wang
104 publications
Wenyu Liu
86 publications
Song Han
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Xiaojuan Qi
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Zhiding Yu
54 publications

∙ 09/21/2023

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

We present LongLoRA, an efficient fine-tuning approach that extends the ...

0 Yukang Chen, et al. ∙

∙ 08/08/2023

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

False negatives (FN) in 3D object detection, e.g., missing predictions o...

0 Yilun Chen, et al. ∙

∙ 03/23/2023

Prior-free Category-level Pose Estimation with Implicit Space Transformation

Category-level 6D pose estimation aims to predict the poses and sizes of...

0 Jianhui Liu, et al. ∙

∙ 03/22/2023

Spherical Transformer for LiDAR-based 3D Recognition

LiDAR-based 3D point cloud recognition has benefited various application...

0 Xin Lai, et al. ∙

∙ 03/20/2023

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

3D object detectors usually rely on hand-crafted proxies, e.g., anchors ...

8 Yukang Chen, et al. ∙

∙ 09/28/2022

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

3D scenes are dominated by a large number of background points, which is...

0 Jianhui Liu, et al. ∙

∙ 06/21/2022

Scaling up Kernels in 3D CNNs

Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...

6 Yukang Chen, et al. ∙

∙ 05/31/2022

Voxel Field Fusion for 3D Object Detection

In this work, we present a conceptually simple yet effective framework f...

0 Yanwei Li, et al. ∙

∙ 04/26/2022

Focal Sparse Convolutional Networks for 3D Object Detection

Non-uniformed 3D sparse data, e.g., point clouds or voxels in different ...

3 Yukang Chen, et al. ∙

∙ 08/26/2021

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation

Separating 3D point clouds into individual instances is an important tas...

0 Ruihang Chu, et al. ∙

∙ 08/18/2021

Single-DARTS: Towards Stable Architecture Search

Differentiable architecture search (DARTS) marks a milestone in Neural A...

0 Pengfei Hou, et al. ∙

∙ 08/17/2021

Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

In this paper, we present a conceptually simple, strong, and efficient f...

0 Yanwei Li, et al. ∙

∙ 03/31/2021

Scale-aware Automatic Augmentation for Object Detection

We propose Scale-aware AutoAug to learn data augmentation policies for o...

0 Yukang Chen, et al. ∙

∙ 10/06/2020

Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track

In this report, we present our object detection/instance segmentation sy...

0 Zeming Li, et al. ∙

∙ 04/26/2020

Stitcher: Feedback-driven Data Provider for Object Detection

Object detectors commonly vary quality according to scales, where the pe...

3 Yukang Chen, et al. ∙

∙ 03/23/2020

Learning Dynamic Routing for Semantic Segmentation

Recently, numerous handcrafted and searched networks have been applied f...

4 Yanwei Li, et al. ∙

∙ 03/13/2020

PointINS: Point-based Instance Segmentation

A single-point feature has shown its effectiveness in object detection. ...

0 Lu Qi, et al. ∙

∙ 03/26/2019

DetNAS: Neural Architecture Search on Object Detection

Object detectors are usually equipped with networks designed for image c...

0 Yukang Chen, et al. ∙

∙ 01/17/2019

EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search

Neural architecture search (NAS) methods have been proposed to release h...

8 Jiemin Fang, et al. ∙

∙ 11/23/2018

Joint Neural Architecture Search and Quantization

Designing neural architectures is a fundamental step in deep learning ap...

0 Yukang Chen, et al. ∙

∙ 08/01/2018

Reinforced Evolutionary Neural Architecture Search

Neural architecture search (NAS) is an important task in network design,...

0 Yukang Chen, et al. ∙

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