Search Results for author: Yuntao Chen

Found 26 papers, 20 papers with code

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.

Clustering Image Clustering +5

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.

Clustering Person Re-Identification

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.

Object object-detection +1

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.

Clustering Object +3

Revisiting Feature Alignment for One-stage Object Detection

no code implementations5 Aug 2019 Yuntao Chen, Chenxia Han, Naiyan Wang, Zhao-Xiang Zhang

Recently, one-stage object detectors gain much attention due to their simplicity in practice.

Object object-detection +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 object-detection +2

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

1 code implementation24 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

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

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

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 +3

4D Unsupervised Object Discovery

1 code implementation10 Oct 2022 Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

In this paper, we propose 4D unsupervised object discovery, jointly discovering objects from 4D data -- 3D point clouds and 2D RGB images with temporal information.

3D Instance Segmentation Object +4

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

2 code implementations ICCV 2023 Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang

Drawing inspiration from this, we propose a high-performance offline detector in a track-centric perspective instead of the conventional object-centric perspective.

3D Object Detection Object +1

Fully Sparse Fusion for 3D Object Detection

1 code implementation24 Apr 2023 Yingyan Li, Lue Fan, Yang Liu, Zehao Huang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang, Tieniu Tan

In this paper, we study how to effectively leverage image modality in the emerging fully sparse architecture.

3D Instance Segmentation 3D Object Detection +3

Weakly Supervised 3D Object Detection with Multi-Stage Generalization

no code implementations8 Jun 2023 JiaWei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

We devise the DoubleClustering algorithm to obtain object clusters from reconstructed scene-level points, and further enhance the model's detection capabilities by developing three stages of generalization: progressing from complete to partial, static to dynamic, and close to distant.

3D Reconstruction Monocular 3D Object Detection +3

Tracking Objects with 3D Representation from Videos

no code implementations8 Jun 2023 JiaWei He, Lue Fan, Yuqi Wang, Yuntao Chen, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang

In this paper, we rethink the data association in 2D MOT and utilize the 3D object representation to separate each object in the feature space.

Multiple Object Tracking Object +1

PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation

1 code implementation16 Jun 2023 Yuqi Wang, Yuntao Chen, Xingyu Liao, Lue Fan, Zhaoxiang Zhang

In this work, we address this limitation by studying camera-based 3D panoptic segmentation, aiming to achieve a unified occupancy representation for camera-only 3D scene understanding.

Autonomous Driving object-detection +5

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

1 code implementation29 Nov 2023 Yuqi Wang, JiaWei He, Lue Fan, Hongxin Li, Yuntao Chen, Zhaoxiang Zhang

In autonomous driving, predicting future events in advance and evaluating the foreseeable risks empowers autonomous vehicles to better plan their actions, enhancing safety and efficiency on the road.

Autonomous Driving

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

1 code implementation11 Jan 2024 Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie zhou, Jifeng Dai

The advancements in speed and efficiency of DCNv4, combined with its robust performance across diverse vision tasks, show its potential as a foundational building block for future vision models.

Image Classification Image Generation +1

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