Search Results for author: Jianke Zhu

Found 21 papers, 6 papers with code

Bridge the Gap Between Model-based and Model-free Human Reconstruction

no code implementations11 Jun 2021 Lixiang Lin, Jianke Zhu

It is challenging to directly estimate the geometry of human from a single image due to the high diversity and complexity of body shapes with the various clothing styles.

Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction

no code implementations2 Jun 2021 Hantang Liu, Wentong Li, Jianke Zhu

Although enjoying the merits of promising results on the semantic parsing, deep learning methods cannot directly make use of the architectural rules, which play an important role for man-made structures.

Semantic Parsing Semantic Segmentation

Oriented RepPoints for Aerial Object Detection

1 code implementation24 May 2021 Wentong Li, Jianke Zhu

Specifically, we suggest to employ a set of adaptive points to capture the geometric and spatial information of the arbitrary-oriented objects, which is able to automatically arrange themselves over the object in a spatial and semantic scenario.

Object Detection

Efficient LiDAR Odometry for Autonomous Driving

no code implementations22 Apr 2021 Xin Zheng, Jianke Zhu

LiDAR odometry plays an important role in self-localization and mapping for autonomous navigation, which is usually treated as a scan registration problem.

Autonomous Driving Autonomous Navigation

Horizontal-to-Vertical Video Conversion

1 code implementation11 Jan 2021 Tun Zhu, Daoxin Zhang, Yao Hu, Tianran Wang, XiaoLong Jiang, Jianke Zhu, Jiawei Li

Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices.

Boundary Detection Multi-Object Tracking

Weakly-Supervised Multi-Face 3D Reconstruction

1 code implementation6 Jan 2021 Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification.

3D Face Reconstruction 3D Reconstruction +3

DeVLBert: Learning Deconfounded Visio-Linguistic Representations

1 code implementation16 Aug 2020 Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu

In this paper, we propose to investigate the problem of out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on which the pretrained model will be fine-tuned.

Image Retrieval Question Answering +1

Attribute-aware Pedestrian Detection in a Crowd

1 code implementation21 Oct 2019 Jialiang Zhang, Lixiang Lin, Yang Li, Yun-chen Chen, Jianke Zhu, Yao Hu, Steven C. H. Hoi

To tackle this critical problem, we propose an attribute-aware pedestrian detector to explicitly model people's semantic attributes in a high-level feature detection fashion.

Pedestrian Detection

Manifold Adversarial Learning

no code implementations16 Jul 2018 Shufei Zhang, Kai-Zhu Huang, Jianke Zhu, Yang Liu

All the existing adversarial training methods consider only how the worst perturbed examples (i. e., adversarial examples) could affect the model output.

Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection

no code implementations22 Mar 2018 Xiongwei Wu, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi

Recent years have witnessed many exciting achievements for object detection using deep learning techniques.

Object Detection

Robust Estimation of Similarity Transformation for Visual Object Tracking

2 code implementations14 Dec 2017 Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu

In order to efficiently search in such a large 4-DoF space in real-time, we formulate the problem into two 2-DoF sub-problems and apply an efficient Block Coordinates Descent solver to optimize the estimation result.

Visual Object Tracking

Feature Agglomeration Networks for Single Stage Face Detection

no code implementations3 Dec 2017 Jialiang Zhang, Xiongwei Wu, Jianke Zhu, Steven C. H. Hoi

In this paper, we propose a novel simple yet effective framework of "Feature Agglomeration Networks" (FANet) to build a new single stage face detector, which not only achieves state-of-the-art performance but also runs efficiently.

Face Detection

Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN

no code implementations16 Nov 2017 Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu

Generating high fidelity identity-preserving faces with different facial attributes has a wide range of applications.

Image Generation

Scalable Image Retrieval by Sparse Product Quantization

no code implementations15 Mar 2016 Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen

Unlike the existing approaches, in this paper, we propose a novel approach called Sparse Product Quantization (SPQ) to encoding the high-dimensional feature vectors into sparse representation.

Content-Based Image Retrieval Quantization

Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches

no code implementations CVPR 2015 Yang Li, Jianke Zhu, Steven C. H. Hoi

Most modern trackers typically employ a bounding box given in the first frame to track visual objects, where their tracking results are often sensitive to the initialization.

Visual Tracking

Adaptive Regularization for Transductive Support Vector Machine

no code implementations NeurIPS 2009 Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang

In this framework, SVM and TSVM can be regarded as a learning machine without regularization and one with full regularization from the unlabeled data, respectively.

Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering

no code implementations NeurIPS 2009 Lei Wu, Rong Jin, Steven C. Hoi, Jianke Zhu, Nenghai Yu

Learning distance functions with side information plays a key role in many machine learning and data mining applications.

Efficient Convex Relaxation for Transductive Support Vector Machine

no code implementations NeurIPS 2007 Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu

We consider the problem of Support Vector Machine transduction, which involves a combinatorial problem with exponential computational complexity in the number of unlabeled examples.

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