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09/21/2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
We present LongLoRA, an efficient fine-tuning approach that extends the ...
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08/08/2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
False negatives (FN) in 3D object detection, e.g., missing predictions o...
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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...
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03/22/2023
Spherical Transformer for LiDAR-based 3D Recognition
LiDAR-based 3D point cloud recognition has benefited various application...
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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 ...
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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...
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06/21/2022
Scaling up Kernels in 3D CNNs
Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...
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05/31/2022
Voxel Field Fusion for 3D Object Detection
In this work, we present a conceptually simple yet effective framework f...
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04/26/2022
Focal Sparse Convolutional Networks for 3D Object Detection
Non-uniformed 3D sparse data, e.g., point clouds or voxels in different ...
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08/26/2021
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Separating 3D point clouds into individual instances is an important tas...
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08/18/2021
Single-DARTS: Towards Stable Architecture Search
Differentiable architecture search (DARTS) marks a milestone in Neural A...
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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...
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03/31/2021
Scale-aware Automatic Augmentation for Object Detection
We propose Scale-aware AutoAug to learn data augmentation policies for o...
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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...
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04/26/2020
Stitcher: Feedback-driven Data Provider for Object Detection
Object detectors commonly vary quality according to scales, where the pe...
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03/23/2020
Learning Dynamic Routing for Semantic Segmentation
Recently, numerous handcrafted and searched networks have been applied f...
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03/13/2020
PointINS: Point-based Instance Segmentation
A single-point feature has shown its effectiveness in object detection. ...
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03/26/2019
DetNAS: Neural Architecture Search on Object Detection
Object detectors are usually equipped with networks designed for image c...
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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...
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11/23/2018
Joint Neural Architecture Search and Quantization
Designing neural architectures is a fundamental step in deep learning ap...
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08/01/2018