Search Results for author: Yuntao Chen

Found 11 papers, 7 papers with code

Densely Constrained Depth Estimator for Monocular 3D Object Detection

1 code implementation20 Jul 2022 Yingyan Li, Yuntao Chen, JiaWei He, Zhaoxiang Zhang

So these methods only use a small number of projection constraints and produce insufficient depth candidates, leading to inaccurate depth estimation.

Depth Estimation Graph Matching +2

GIFS: Neural Implicit Function for General Shape Representation

1 code implementation CVPR 2022 Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang

This limitation leads to tedious data processing (converting non-watertight raw data to watertight) as well as the incapability of representing general object shapes in the real world.

3D Shape Reconstruction

Immortal Tracker: Tracklet Never Dies

1 code implementation26 Nov 2021 Qitai Wang, Yuntao Chen, Ziqi Pang, Naiyan Wang, Zhaoxiang Zhang

We employ a simple Kalman filter for trajectory prediction and preserve the tracklet by prediction when the target is not visible.

3D Multi-Object Tracking Trajectory Prediction

Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild

no code implementations24 Nov 2021 Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang

Tracking and reconstructing 3D objects from cluttered scenes are the key components for computer vision, robotics and autonomous driving systems.

3D Shape Reconstruction Autonomous Driving +1

Unsupervised Object Detection with LiDAR Clues

no code implementations CVPR 2021 Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu

We further identify another major issue, seldom noticed by the community, that the long-tailed and open-ended (sub-)category distribution should be accommodated.

object-detection Object Detection

Sequence Level Semantics Aggregation for Video Object Detection

2 code implementations ICCV 2019 Haiping Wu, Yuntao Chen, Naiyan Wang, Zhao-Xiang Zhang

In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.

object-detection Video Object Detection +1

Scale-Aware Trident Networks for Object Detection

4 code implementations ICCV 2019 Yanghao Li, Yuntao Chen, Naiyan Wang, Zhao-Xiang Zhang

In this work, we first present a controlled experiment to investigate the effect of receptive fields for scale variation in object detection.

Ranked #79 on Object Detection on COCO test-dev (using extra training data)

object-detection Object Detection

Spectral Feature Transformation for Person Re-identification

2 code implementations ICCV 2019 Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhao-Xiang Zhang

With the surge of deep learning techniques, the field of person re-identification has witnessed rapid progress in recent years.

Person Re-Identification

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

no code implementations5 Jul 2017 Yuntao Chen, Naiyan Wang, Zhao-Xiang Zhang

have shown that the dark knowledge within a powerful teacher model can significantly help the training of a smaller and faster student network.

Image Clustering Image Retrieval +4

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