Search Results for author: Jianping Shi

Found 74 papers, 36 papers with code

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

2 code implementations21 Mar 2022 Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan

Methods for 3D lane detection have been recently proposed to address the issue of inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.).

3D Lane Detection Autonomous Driving +1

Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling

1 code implementation27 Feb 2022 Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang, Hongsheng Li

The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans.

Motion Estimation

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach

no code implementations9 Dec 2021 Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yuexin Ma, Zhe Wang, Jianping Shi

Compared to previous methods, our AdaStereo realizes a more standard, complete and effective domain adaptation pipeline.

Domain Adaptation Stereo Matching

Towards Balanced Learning for Instance Recognition

no code implementations23 Aug 2021 Jiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin

In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.

PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation

1 code implementation ICCV 2021 Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma

Extensive experiments demonstrate that our method can soundly boost the performance on both cross-domain object detection and segmentation for state-of-the-art techniques.

Domain Adaptation Object Detection +1

Improving Video Instance Segmentation via Temporal Pyramid Routing

1 code implementation28 Jul 2021 Xiangtai Li, Hao He, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong

Moreover, our approach is a plug-and-play module and can be easily applied to existing instance segmentation methods.

Frame Instance Segmentation +2

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

1 code implementation CVPR 2021 Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin

Experimental results on three different aerial segmentation datasets suggest that the proposed method is more effective and efficient than state-of-the-art general semantic segmentation methods.

Semantic Segmentation

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds

no code implementations20 Nov 2020 Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin

Recent years have witnessed the rapid progress of perception algorithms on top of LiDAR, a widely adopted sensor for autonomous driving systems.

Autonomous Driving

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

no code implementations19 Oct 2020 Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li

To suit our network to self-supervised learning, we design several novel loss functions that utilize the inherent properties of LiDAR point clouds.

Self-Supervised Learning

Channel-wise Alignment for Adaptive Object Detection

no code implementations7 Sep 2020 Hang Yang, Shan Jiang, Xinge Zhu, Mingyang Huang, Zhiqiang Shen, Chunxiao Liu, Jianping Shi

Existing methods on this task usually draw attention on the high-level alignment based on the whole image or object of interest, which naturally, cannot fully utilize the fine-grained channel information.

Instance Segmentation Object Detection +1

Understanding the wiring evolution in differentiable neural architecture search

1 code implementation2 Sep 2020 Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

To this end, we pose questions that future differentiable methods for neural wiring discovery need to confront, hoping to evoke a discussion and rethinking on how much bias has been enforced implicitly in existing NAS methods.

Neural Architecture Search

Improving Semantic Segmentation via Decoupled Body and Edge Supervision

2 code implementations ECCV 2020 Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong

Our insight is that appealing performance of semantic segmentation requires \textit{explicitly} modeling the object \textit{body} and \textit{edge}, which correspond to the high and low frequency of the image.

Semantic Segmentation

Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization

no code implementations ECCV 2020 Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng, Bin Fan

Learning to find an optimal mixed precision model that can preserve accuracy and satisfy the specific constraints on model size and computation is extremely challenge due to the difficult in training a mixed precision model and the huge space of all possible bit quantizations.

Quantization

TPNet: Trajectory Proposal Network for Motion Prediction

no code implementations CVPR 2020 Liangji Fang, Qinhong Jiang, Jianping Shi, Bolei Zhou

However, it remains difficult for these methods to provide multimodal predictions as well as integrate physical constraints such as traffic rules and movable areas.

Autonomous Driving motion prediction +1

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching

no code implementations CVPR 2021 Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi

Compared to previous methods for adaptive stereo matching, our AdaStereo realizes a more standard, complete and effective domain adaptation pipeline.

Domain Adaptation Stereo Matching

Temporal Pyramid Network for Action Recognition

3 code implementations CVPR 2020 Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou

Previous works often capture the visual tempo through sampling raw videos at multiple rates and constructing an input-level frame pyramid, which usually requires a costly multi-branch network to handle.

Action Recognition Frame

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

1 code implementation6 Apr 2020 Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin

Multi-class 3D object detection aims to localize and classify objects of multiple categories from point clouds.

3D Object Detection

DSNAS: Direct Neural Architecture Search without Parameter Retraining

1 code implementation CVPR 2020 Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

We argue that given a computer vision task for which a NAS method is expected, this definition can reduce the vaguely-defined NAS evaluation to i) accuracy of this task and ii) the total computation consumed to finally obtain a model with satisfying accuracy.

Neural Architecture Search

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

4 code implementations CVPR 2020 Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li

We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds.

3D Object Detection

Side-Aware Boundary Localization for More Precise Object Detection

1 code implementation ECCV 2020 Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin

To tackle the difficulty of precise localization in the presence of displacements with large variance, we further propose a two-step localization scheme, which first predicts a range of movement through bucket prediction and then pinpoints the precise position within the predicted bucket.

Object Detection

Learning a Decision Module by Imitating Driver's Control Behaviors

no code implementations30 Nov 2019 Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou

In this work, we propose a hybrid framework to learn neural decisions in the classical modular pipeline through end-to-end imitation learning.

Autonomous Driving Imitation Learning

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow

no code implementations28 Nov 2019 Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo

Moreover, our framework is able to utilize both labeled and unlabeled frames in the video through joint training, while no additional calculation is required in inference.

Frame Optical Flow Estimation +3

Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

no code implementations ICCV 2019 Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li

Most of existing methods directly train a network to learn a mapping from sparse depth inputs to dense depth maps, which has difficulties in utilizing the 3D geometric constraints and handling the practical sensor noises.

Autonomous Driving Depth Completion

Graph-guided Architecture Search for Real-time Semantic Segmentation

1 code implementation CVPR 2020 Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi

Unlike previous works that use a simplified search space and stack a repeatable cell to form a network, we introduce a novel search mechanism with new search space where a lightweight model can be effectively explored through the cell-level diversity and latencyoriented constraint.

Real-Time Semantic Segmentation

Robust Multi-Modality Multi-Object Tracking

1 code implementation ICCV 2019 Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy

Multi-sensor perception is crucial to ensure the reliability and accuracy in autonomous driving system, while multi-object tracking (MOT) improves that by tracing sequential movement of dynamic objects.

Autonomous Driving Multi-Object Tracking +1

GDRQ: Group-based Distribution Reshaping for Quantization

no code implementations5 Aug 2019 Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi

Low-bit quantization is challenging to maintain high performance with limited model capacity (e. g., 4-bit for both weights and activations).

Quantization

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

3 code implementations8 Jul 2019 Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li

3D object detection from LiDAR point cloud is a challenging problem in 3D scene understanding and has many practical applications.

3D Object Detection Scene Understanding

OVSNet : Towards One-Pass Real-Time Video Object Segmentation

no code implementations24 May 2019 Peng Sun, Peiwen Lin, Guangliang Cheng, Jianping Shi, Jiawan Zhang, Xi Li

Video object segmentation aims at accurately segmenting the target object regions across consecutive frames.

Object Detection Semantic Segmentation +3

Towards Instance-level Image-to-Image Translation

no code implementations CVPR 2019 Zhiqiang Shen, Mingyang Huang, Jianping Shi, xiangyang xue, Thomas Huang

The proposed INIT exhibits three import advantages: (1) the instance-level objective loss can help learn a more accurate reconstruction and incorporate diverse attributes of objects; (2) the styles used for target domain of local/global areas are from corresponding spatial regions in source domain, which intuitively is a more reasonable mapping; (3) the joint training process can benefit both fine and coarse granularity and incorporates instance information to improve the quality of global translation.

Image-to-Image Translation Object Detection +1

Switchable Whitening for Deep Representation Learning

1 code implementation ICCV 2019 Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo

Unlike existing works that design normalization techniques for specific tasks, we propose Switchable Whitening (SW), which provides a general form unifying different whitening methods as well as standardization methods.

Domain Adaptation Image Classification +3

Libra R-CNN: Towards Balanced Learning for Object Detection

5 code implementations CVPR 2019 Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin

In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.

Object Detection

R$^2$-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images

no code implementations16 Feb 2019 Jiangmiao Pang, Cong Li, Jianping Shi, Zhihai Xu, Huajun Feng

To tackle these problems, we propose a unified and self-reinforced network called remote sensing region-based convolutional neural network ($\mathcal{R}^2$-CNN), composing of backbone Tiny-Net, intermediate global attention block, and final classifier and detector.

Object Detection

Hybrid Task Cascade for Instance Segmentation

5 code implementations CVPR 2019 Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.

Instance Segmentation Object Detection +1

FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction

4 code implementations NeurIPS 2018 Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, Wanli Ouyang

The basic principles in designing convolutional neural network (CNN) structures for predicting objects on different levels, e. g., image-level, region-level, and pixel-level are diverging.

Image Classification

Sequential Context Encoding for Duplicate Removal

no code implementations NeurIPS 2018 Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia

Duplicate removal is a critical step to accomplish a reasonable amount of predictions in prevalent proposal-based object detection frameworks.

Object Detection

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation

no code implementations ECCV 2018 Xinge Zhu, Hui Zhou, Ceyuan Yang, Jianping Shi, Dahua Lin

Due to the expensive and time-consuming annotations (e. g., segmentation) for real-world images, recent works in computer vision resort to synthetic data.

Domain Adaptation Semantic Segmentation

PSANet: Point-wise Spatial Attention Network for Scene Parsing

3 code implementations ECCV 2018 Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

We notice information flow in convolutional neural networks is restricted inside local neighborhood regions due to the physical design of convolutional filters, which limits the overall understanding of complex scenes.

Scene Parsing Semantic Segmentation

Generative Adversarial Frontal View to Bird View Synthesis

no code implementations1 Aug 2018 Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, Dahua Lin

Due to the large gap and severe deformation between the frontal view and bird view, generating a bird view image from a single frontal view is challenging.

Bird View Synthesis Homography Estimation +1

Pose Guided Human Video Generation

no code implementations ECCV 2018 Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin

Human pose, on the other hand, can represent motion patterns intrinsically and interpretably, and impose the geometric constraints regardless of appearance.

motion prediction Video Generation

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

13 code implementations ECCV 2018 Xingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang

IBN-Net carefully integrates Instance Normalization (IN) and Batch Normalization (BN) as building blocks, and can be wrapped into many advanced deep networks to improve their performances.

Domain Adaptation

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization

no code implementations NeurIPS 2018 Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao

Asynchronous momentum stochastic gradient descent algorithms (Async-MSGD) is one of the most popular algorithms in distributed machine learning.

Stochastic Optimization

Mask-aware Photorealistic Face Attribute Manipulation

no code implementations24 Apr 2018 Ruoqi Sun, Chen Huang, Jianping Shi, Lizhuang Ma

The task of face attribute manipulation has found increasing applications, but still remains challeng- ing with the requirement of editing the attributes of a face image while preserving its unique details.

Face Recognition

Context Encoding for Semantic Segmentation

12 code implementations CVPR 2018 Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal

In this paper, we explore the impact of global contextual information in semantic segmentation by introducing the Context Encoding Module, which captures the semantic context of scenes and selectively highlights class-dependent featuremaps.

Ranked #15 on Semantic Segmentation on PASCAL VOC 2012 test (using extra training data)

Image Classification Semantic Segmentation +1

GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

3 code implementations CVPR 2018 Zhichao Yin, Jianping Shi

We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion estimation from videos.

Image Reconstruction Motion Estimation +2

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

7 code implementations17 Dec 2017 Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang

Although CNN has shown strong capability to extract semantics from raw pixels, its capacity to capture spatial relationships of pixels across rows and columns of an image is not fully explored.

Lane Detection Scene Understanding

Face Parsing via Recurrent Propagation

no code implementations6 Aug 2017 Sifei Liu, Jianping Shi, Ji Liang, Ming-Hsuan Yang

Face parsing is an important problem in computer vision that finds numerous applications including recognition and editing.

Face Parsing

Video Object Segmentation with Re-identification

3 code implementations1 Aug 2017 Xiaoxiao Li, Yuankai Qi, Zhe Wang, Kai Chen, Ziwei Liu, Jianping Shi, Ping Luo, Xiaoou Tang, Chen Change Loy

Specifically, our Video Object Segmentation with Re-identification (VS-ReID) model includes a mask propagation module and a ReID module.

Semantic Segmentation Video Object Segmentation +2

Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection

no code implementations14 Jun 2017 Zhe Wang, Yanxin Yin, Jianping Shi, Wei Fang, Hongsheng Li, Xiaogang Wang

We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions.

Diabetic Retinopathy Detection

Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation

no code implementations CVPR 2016 Shu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, Jiaya Jia

Aiming at simultaneous detection and segmentation (SDS), we propose a proposal-free framework, which detect and segment object instances via mid-level patches.

Object Proposal Generation

Revisiting Batch Normalization For Practical Domain Adaptation

1 code implementation15 Mar 2016 Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou

However, it is still a common annoyance during the training phase, that one has to prepare at least thousands of labeled images to fine-tune a network to a specific domain.

Domain Adaptation Image Classification +1

Just Noticeable Defocus Blur Detection and Estimation

no code implementations CVPR 2015 Jianping Shi, Li Xu, Jiaya Jia

We tackle a fundamental problem to detect and estimate just noticeable blur (JNB) caused by defocus that spans a small number of pixels in images.

Bounded-Distortion Metric Learning

no code implementations10 May 2015 Renjie Liao, Jianping Shi, Ziyang Ma, Jun Zhu, Jiaya Jia

Metric learning aims to embed one metric space into another to benefit tasks like classification and clustering.

General Classification Metric Learning

Understanding and Diagnosing Visual Tracking Systems

no code implementations ICCV 2015 Naiyan Wang, Jianping Shi, Dit-yan Yeung, Jiaya Jia

Surprisingly, our findings are discrepant with some common beliefs in the visual tracking research community.

Visual Tracking

Discriminative Blur Detection Features

no code implementations CVPR 2014 Jianping Shi, Li Xu, Jiaya Jia

Ubiquitous image blur brings out a practically important question – what are effective features to differentiate between blurred and unblurred image regions.

Deblurring

Hierarchical Saliency Detection

no code implementations CVPR 2013 Qiong Yan, Li Xu, Jianping Shi, Jiaya Jia

When dealing with objects with complex structures, saliency detection confronts a critical problem namely that detection accuracy could be adversely affected if salient foreground or background in an image contains small-scale high-contrast patterns.

Saliency Detection

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