Focal Sparse Convolutional Networks for 3D Object Detection

2 code implementations • 26 Apr 2022 • Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia

In this paper, we introduce two new modules to enhance the capability of Sparse CNNs, both are based on making feature sparsity learnable with position-wise importance prediction.

3D Object Detection

Multi-Scale Aligned Distillation for Low-Resolution Detection

2 code implementations • CVPR 2021 • Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia

However, this option traditionally hurts the detection performance much.

Knowledge Distillation Object Detection

Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

1 code implementation • 17 Aug 2021 • Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia

In particular, Panoptic FCN encodes each object instance or stuff category with the proposed kernel generator and produces the prediction by convolving the high-resolution feature directly.

Panoptic Segmentation Weakly-supervised panoptic segmentation

Scale-aware Automatic Augmentation for Object Detection

1 code implementation • CVPR 2021 • Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei LI, Jiaya Jia

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

Data Augmentation Instance Segmentation +2

Rethinking Learnable Tree Filter for Generic Feature Transform

1 code implementation • NeurIPS 2020 • Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng

The Learnable Tree Filter presents a remarkable approach to model structure-preserving relations for semantic segmentation.

Instance Segmentation Object Detection +1

Fine-Grained Dynamic Head for Object Detection

1 code implementation • NeurIPS 2020 • Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng

To this end, we propose a fine-grained dynamic head to conditionally select a pixel-level combination of FPN features from different scales for each instance, which further releases the ability of multi-scale feature representation.

Object Detection

Fully Convolutional Networks for Panoptic Segmentation

5 code implementations • CVPR 2021 • Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia

In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN.

Panoptic Segmentation

Dynamic Scale Training for Object Detection

4 code implementations • 26 Apr 2020 • Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia

We propose a Dynamic Scale Training paradigm (abbreviated as DST) to mitigate scale variation challenge in object detection.

Instance Segmentation Object Detection +1

Learning Dynamic Routing for Semantic Segmentation

no code implementations • CVPR 2020 • Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun

To demonstrate the superiority of the dynamic property, we compare with several static architectures, which can be modeled as special cases in the routing space.

Semantic Segmentation

Learnable Tree Filter for Structure-preserving Feature Transform

1 code implementation • NeurIPS 2019 • Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng

To this end, tree filtering modules are embedded to formulate a unified framework for semantic segmentation.

Semantic Segmentation

FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks

no code implementations • 15 Aug 2019 • Jiabin Zhang, Zheng Zhu, Wei Zou, Peng Li, Yanwei Li, Hu Su, Guan Huang

Given the results of MTN, we adopt an occlusion-aware Re-ID feature strategy in the pose tracking module, where pose information is utilized to infer the occlusion state to make better use of Re-ID feature.

Human Detection Multi-Person Pose Estimation +3

State-aware Re-identification Feature for Multi-target Multi-camera Tracking

no code implementations • 4 Jun 2019 • Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang

Multi-target Multi-camera Tracking (MTMCT) aims to extract the trajectories from videos captured by a set of cameras.

Identity-Enhanced Network for Facial Expression Recognition

no code implementations • 11 Dec 2018 • Yanwei Li, Xingang Wang, Shilei Zhang, Lingxi Xie, Wenqi Wu, Hongyuan Yu, Zheng Zhu

Facial expression recognition is a challenging task, arguably because of large intra-class variations and high inter-class similarities.

Facial Expression Recognition Multi-Task Learning

Attention-guided Unified Network for Panoptic Segmentation

no code implementations • CVPR 2019 • Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang

This paper studies panoptic segmentation, a recently proposed task which segments foreground (FG) objects at the instance level as well as background (BG) contents at the semantic level.

Panoptic Segmentation