Search Results for author: Banghuai Li

Found 8 papers, 4 papers with code

Beta R-CNN: Looking into Pedestrian Detection from Another Perspective

no code implementations NeurIPS 2020 Zixuan Xu, Banghuai Li, Ye Yuan, Anhong Dang

What's more, to fully exploit Beta Representation, a novel pipeline Beta R-CNN equipped with BetaHead and BetaMask is proposed, leading to high detection performance in occluded and crowded scenes.

Pedestrian Detection

LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers

1 code implementation23 Oct 2022 Zhuoxu Huang, Zhiyou Zhao, Banghuai Li, Jungong Han

Transformer with its underlying attention mechanism and the ability to capture long-range dependencies makes it become a natural choice for unordered point cloud data.

3D Object Detection 3D Point Cloud Classification +3

Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection

no code implementations CVPR 2022 Banghuai Li

We visualize each learned class representation in the feature space, and observe that some classes, especially under-represented scarce classes, are prone to cluster with analogous ones due to the lack of discriminative representation.

Long-tailed Object Detection Metric Learning +4

E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation

1 code implementation14 Dec 2021 Jie Zhu, Huabin Huang, Banghuai Li, Leye Wang

In this paper, we notice that the class weights of categories that tend to share many adjacent boundary pixels lack discrimination, thereby limiting the performance.

Metric Learning Model Optimization +2

MSP : Refine Boundary Segmentation via Multiscale Superpixel

no code implementations3 Dec 2021 Jie Zhu, Huabin Huang, Banghuai Li, Yong liu, Leye Wang

Inspired by the generated sharp edges of superpixel blocks, we employ superpixel to guide the information passing within feature map.

Scene Parsing Segmentation +1

FBNet: Feature Balance Network for Urban-Scene Segmentation

no code implementations5 Nov 2021 Lei Gan, Huabin Huang, Banghuai Li, Ye Yuan

In this paper, we present a novel add-on module, named Feature Balance Network (FBNet), to eliminate the feature camouflage in urban-scene segmentation.

Autonomous Driving Image Segmentation +2

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

3 code implementations CVPR 2021 Bo Sun, Banghuai Li, Shengcai Cai, Ye Yuan, Chi Zhang

We present Few-Shot object detection via Contrastive proposals Encoding (FSCE), a simple yet effective approach to learning contrastive-aware object proposal encodings that facilitate the classification of detected objects.

Contrastive Learning Few-Shot Learning +4

AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses

1 code implementation7 Jul 2020 Zixuan Xu, Banghuai Li, Miao Geng, Ye Yuan

Based on the prediction of each anchor template, we propose to aggregate the results, which can reduce the landmark uncertainty due to the large poses.

 Ranked #1 on Face Alignment on AFLW-Full (Mean NME metric)

Face Alignment Facial Landmark Detection

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